≈ Comments Off on THE BEADY EYE SAY’S. Ten years from now, we may look back on this moment in history as a colossal mistake or it could be the greatest empowerment moment in human history.
This year, the world got a rude awakening to the insane power of AI when OpenAI unleashed ChatGPT4 onto the world. This AI text generator/chatbot seemed to be able to replicate human-generated content so well that even AI detection software struggled to tell the difference between the two.
This is not an alien invasion of intelligent machines; it’s the result of our own efforts to make our infrastructure and our way of life more intelligent.
It’s part of human endeavour. We merge with our machines. Ultimately, they will extend who we are.
Our mobile phone, for example, makes us more intelligent and able to communicate with each other. It’s really part of us already. It might not be literally connected to you, but nobody leaves home without one.
It’s like half your brain.
Thinking of AI as a futuristic tool that will lead to immeasurable good or harm is a distraction from the ways we are using it now.
How do we ensure that the AI we build, which might very well be significantly smarter than any person who has ever lived, is aligned with the interests of its creators and of the human race?
What if at some point in the near future, computer scientists build an AI that passes a threshold of superintelligence and can build other super intelligent AI.
An unaligned super intelligent AI could be quite a problem.
For example, we’ve been predicting for decades that AI will replace radiologists, but machine learning for radiology is still a complement for doctors rather than a replacement. Let’s hope this is a sign of AI’s relationship to the rest of humanity—that it will serve willingly as the ship’s first mate rather than play the part of the fateful iceberg.
No laws can prevent China ~ Russia ~ Terrorist network~ Rogue psychopath from developing the most manipulative and dishonest AI you could possibly imagine.
We can’t trust some speculative future technology to rescue us.
Climate change is already killing people, and many more people are going to die even in a best-case scenario, but we get to decide now just how bad it gets.
Action taken decades from now is much less valuable than action taken soon.
The first role AI can play in climate action is distilling raw data into useful information – taking big datasets, which would take too much time for a human to process, and pulling information out in real time to guide policy or private-sector action.
Everyone wants a silver bullet to solve climate change; unfortunately there isn’t one. But there are lots of ways AI can help fight climate change. While there is no single big thing that AI will do, there are many medium-sized things.
Most movies about AI have an “us versus them” mentality, but that’s really not the case.
Even if one were to stand on the side of curious skepticism, (which feels natural,) we ought to be fairly terrified by this nonzero chance of humanity inventing itself into extinction.
Whereas AI is, for now, pure software blooming inside computers. Someday soon, however, AI might read everything—like, literally every thing, swallowing everything into a black hole and not even god knows what it will be recycled.
Just shovel ever-larger amounts of human-created text into its maw, and wait for wondrous new skills to manifest. With enough data, this approach could perhaps even yield a more fluid intelligence, or a humanlike artificial mind akin to those that haunt nearly all of our mythologies of the future.
On the syllabus at the moment : Is a decent fraction of all the surviving text that we have ever produced.
To codify the philosophy in a set of wise laws and regulations to ensure the good behaviour of our super intelligent AI, like laws to make it illegal, for example, to develop AI systems that manipulate domestic or foreign actors. Is pie in the sky –
In the next decade, autocrats and terrorist networks could be able to cheaply build diabolical AI that can accomplish some of the goals outlined in the Yudkowsky story. (The key issue is not “human-competitive” intelligence (as his open letter puts it); It’s what happens after AI gets to smarter-than-human intelligence.
Key thresholds here may not be obvious.
We definitely can’t calculate in advance what happens when, and it currently seems imaginable that a research lab would cross critical lines without noticing.
AT THE MOMENT ALL WE HAVE IS A COPING MECCHANISM.
Like non-proliferation laws for nuclear weaponry that are hard to enforce.
Nuclear weapons require raw material that is scarce and needs expensive refinement. Software is easier, and this technology is improving by the month.
We have years to debate how education ought to change in response to these tools, but something interesting and important is undoubtedly happening.
If we figured out how people are going to share in the wealth that AI unlocks, then I think we could end up in a world where people don’t have to work to eat, and are instead taking on projects because they are meaningful to them.
But where do AI companies get this truly astonishing amount of high-quality data from?
Well, to put it bluntly, they steal it.
But as it stands, the AI boom might be approaching a flashpoint where these models can’t avoid consuming their own output, leading to a gradual decline in their effectiveness. This will only be accelerated as AI-generated content perfuses the internet over the coming years, making it harder and harder to source genuine human-made content.
AI is viewed as a strategic technology to lead us into the future.
So what should be done:
Many people lack a full understanding of AI and therefore are more likely to view it as a nebulous cloud instead of a powerful driving force that can create a lot of value for society;
Instead of writing off AI as too complicated for the average person to understand, we should seek to make AI accessible to everyone in society. It shouldn’t be just the scientists and engineers who understand it; through adequate education, communication and collaboration, people will understand the potential value that AI can create for the community.
We should democratize AI, meaning that the technology should belong to and benefit all of society; and we should be realistic about where we are in AI’s development.
Most of the achievements we have made are, in fact, based on having a huge amount of (labelled) data, rather than on AI’s ability to be intelligent on its own. Learning in a more natural way, including unsupervised or transfer learning, is still nascent and we are a long way from reaching AI supremacy.
From this point of view, society has only just started its long journey with AI and we are all pretty much starting from the same page. To achieve the next breakthroughs in AI, we need the global community to participate and engage in open collaboration and dialogue.
If this does not happen and happen (sooner than later) it will be AI that will be calling the shots
All human comments appreciated. All like clicks and abuse chucked in the bin.
At a time when the world is changing more quickly than ever before, we need a new vocabulary to help us grasp what’s happening.
I’m not sure that THE WORDS WE HAVE AT PRESENT TO DESCRIBE OUR WORLD hold anymore in the world-wide ‘web’ of meaning, we now inhabit (or are trapped in), with its exponentially increasing complexities.
Amid the whirlwind of our changing times, in which even the new language gurus cannot tell us where we’re going, there must be some universal value that can define us other than stupidity being digitalized.
Humanity is a blip in geologic history:
With social media words are just kind of disintegrate before your eyes or become a meaningless string of letters.
Like the word need which has become some kind of a fatigue sound, falling prey to semantic satiations, losing meaning for the listener, who then perceives the speech as repeated meaningless sounds.
Need is now repeated so much, that it is now as indistinct as the packages of generic Wal-Mart string cheese.
Take the language of politics, for example, it is becoming increasingly blurred.
Right and left, conservative and progressive, traditional and modern — these words have become so calcified that we often get lost in the labyrinth of ambiguity.
If words created the world, then words can also enrich or impoverish it, sanctify or demonize it.
Language is rich in words and meaning, but it can also become petrified while reality creatively evolves around it.
The power of words is such that they can spark a war or bring about peace. Everything begins with language.
So then, what does “artificial intelligence” actually mean (to use the latest buzzwords)?
Even the brainy scientists don’t really understand it. If so, what just happened to you is nothing new.
These days we have the capacity to look billions of years into the past but it seems that we can’t see beyond our own very noses, or hear, when it comes to the planet.
It used to be said that to name something is to begin understanding it but the veneer of linguistic facility of AI is not the same as actually comprehending human language.
AI has burst out of its academic bubble into the real world, and its lack of understanding of that world can have real and sometimes devastating consequences.
It might be possible to write down all the unwritten facts, rules and assumptions required for understanding text but not language. We let machines learn to understand language on their own, simply by ingesting vast amounts of written text and learning to predict words.
But has GPT-3 — trained on text from thousands of websites, books and encyclopaedia’s — transcended Watson’s veneer? Does it really understand the language it generates and ostensibly reasons about?
The crux of the problem, in my view, is that understanding language requires understanding the world, and a machine exposed only to language cannot gain such an understanding.
Humans rely on innate, pre-linguistic core knowledge of space, time and many other essential properties of the world in order to learn and understand language. If we want machines to similarly master human language, we will need to first endow them with the primordial principles humans are born with.
Machines that can genuinely comprehend what “it” refers to in a sentence, and everything else that understanding “it” entails.
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The world faces four main challenges: climate change, mistrust of leaders, increased geopolitical tension, and the dark side of the technological revolution. (Which is digitizing not just our imagination of our future’s by plundering the finite resources of the planet for profit.)
1) Climate change is the defining issue of our time,” It represents an “existential threat” to humankind. “The planet will not be destroyed. What will be destroyed is our capacity to live on the planet.
2) People believe that the fruits of globalization are not being fairly distributed. Seven in 10 people in the world live in countries where inequality is growing.
3) Increased geopolitical tensions are further exacerbated by weaknesses in institutions. For example, the UN Security Council’s “inability to take decisions” or to enforce the ones they do take, such as the arms embargo.
4) Artificial Intelligence that is owned by corporations are unbalancing the values that are common to us all. Turning Democracy into AI Totalitarianism Democratic Societies with mass surveillance.
Because in the age of the internet and super-connectivity, all of these things, like face recognition have been raised to sophisticated arts ( Clear View ) that, instead of being forced on us, have quietly colonised our lives.
In times past, when frustrating circumstances demanded new ways of expressing what it means to be alive here a few for present day use.
The internet/cyberspace is wonderful, because it gives people the freedom to augment or totally change their identities, and this is a marvellous new dawn for human expression, a new step in human evolution. Nah, it’s a false dawn, because the internet is essentially a libertarian arena, and as such an amoral one (lots of ‘freedoms’ but with no attendant social obligations); it is a new jungle where we must watch our backs and struggle for survival, surely a backward step in evolution.
The term ‘hyperobject’ was coined by the academic Timothy Morton, and it refers to phenomena that are so large and so far beyond the human frame of reference that they are not susceptible to reason but to AI.
Immigration. The realisation that racism never really went away, it just camouflaged its fundamental failure of empathy as tolerance – this is a contention of the Black Lives Matter movement. The term is now making the short jump to other second- (eg LGBT) and third- (eg feminism) phase civil rights movements equally lulled by the illusion of tolerance. The goal is to go beyond feeling tolerated to being fully accepted and welcomed.
3. Deletion. This word is likely to be bandied about much more frequently in the decades ahead, as social media users realise that the websites they are on are not merely neutral ‘platforms’ for ‘social interaction’ but more like a kind of flypaper to which people and all of their personal data stick. Moreover, these websites are specifically designed to be addictive –
4)Global capitalism is, by its unjust and shambolic nature, going to experience crashes of increasing severity throughout the 21st Century, leaving us all to survive with growing desperation amidst its wreckage.
5. Shadow banking. Nobody knows how large this sector is, but current estimates put shadow banking at (£124 trillion) and OTC transactions at (£412 trillion), or roughly twice and six-and-a-half times the GDP of the entire Earth, respectively. Both sectors were of course heavily involved in creating the 2008 crash, and both have remained almost unaltered since then.
6. Attention crisis. The fact that no one can take their eyes off their smartphones – James Williams writes that “the liberation of human attention may be the defining moral and political struggle of our time”. Our minds are being rewired for commercial purposes. His argument that the social contract, the idea of human rights, should be extended to cyberspace is gaining traction.
Was the creation of the internet not supposed to be the dawn of a technological and informational utopia? Even its father, Tim Berners-Lee, the inventor of the world wide web, is convinced it is failing us.
7. Post-human. It seems that history has caught up with us, for our identities now extend into cyberspace in many ways, we no longer merely rely on our brain cells but now store much of our knowledge in technological clouds that function as extensions of our minds, and we live with the corresponding hardware in such intimacy (in the form of portable devices that are linked to our minds and even metabolisms in many ways) that it sometimes feels like we are only a few steps away from being ‘cyborgs’ in the true sense of the term. Gender, though, is still a problem.
8. Masculinity. There was a time when you’d ask a man what masculinity was and his response would be something like ‘not feminine’ (pejorative) and ‘not queer’ (pejorative). Note all the negativity.
These days it is increasingly a good thing to be a woman (new, broad definition) and to be queer (new, broad definition). Both are eating away at the old territory occupied by masculinity, according to writers such as Hanna Rosin, Cordelia Fine or Grayson Perry. What’s left is something of a void, aka ‘the crisis of masculinity’.
The challenge ahead for men is to formulate what they are, and want to be, rather than what they aren’t. How to open up this frontier?
I have a suggestion. For generations feminists and queer activists have been fighting to draw attention to masculinity’s toxic side-effects. At long last, mainstream men seem on the verge of accepting that there is a problem. It remains for us all to take this a step further, and work to understand how this toxicity has also been poisoning men on the inside.
9. Generation Why? It applies to anyone born in the digital age.
To roughly clarify our terms here: Baby Boomers are the generation born after World War Two and before 1965; Generation X (Douglas Coupland) the cohort born between the mid-1960s and 1980; Generation Y (Millennials) includes people born between 1980-ish and 2000; Generation Z (Post-Millennials) is anyone born after 2000. These categories don’t really have global reach, but they are evocative as metaphors.
The gist of Smith’s argument is that Facebook and its like are reductive: they cut us down to size and reprogrammed us to suit their own ends, which are advertising and selling things – exploitation. “Five-hundred million sentient people entrapped in the recent careless thoughts of a Harvard sophomore,” she calls it.
Smith was writing a few years ago; the number of Facebook users has now passed 2 billion. Generations Y and Z have led lives saturated by the internet, by social media platforms and apps, which have claimed to make life complete and have all of the answers all of the time. Is this paraphernalia worthy of them? Are they content to be trapped in the reveries of Zuckerberg and the like? No. There are detectable tremors of disaffection and radicalisation. I suspect that as more and more post-millennials reach voting age, Generation Why may be giving us some loud answers.
10. The new weird An emerging genre of speculative, ‘post-human’ writing that blurs genre boundaries and conventions, pushes humanity and human-centred reason from the centre to the margins, and generally poses questions that may not be answerable in any terms we can understand (hence the ‘weird’). In the present era, where potent advertising and PR forces are doing everything in their power to make truth irrelevant and directly hack our minds, and where politicians no longer seem to acknowledge the existence of facts, the word has sinister new applications.
The COVID-19 pandemic is a tragic reminder of how deeply connected we are. There is a clear and urgent need for concrete multilateral solutions, based on common action across borders for the good of all humanity, starting with extend beyond national governments, to include more participation from local authorities, civil society, business leaders and others.
How close we are to destroying our world with dangerous technologies of our own making.
No one country can tackle the problem’s on their own no matter how large their population, how strong their economy or how feared their military.
Everyone sees change everywhere, and I think it’s important to figure out where are we going to be five to 10 years from now.
We’re going to see more automation. We’re going to see, unfortunately, more technological unemployment.
I don’t think they will be able to ignore the issue of inequality. We’re seeing social tensions and all sorts of frictions proliferate. The sooner we start tackling it, the better. We really need to start thinking outside of the box.
In the end it back to that word Need:
We need to be less wasteful. We need to economize our resources. We need to be more pro-environment in our own behaviour as consumers.
Let’s replace it with Yugen.
“We can either save our world or condemn humanity to a hellish future.”
All human comments appreciated. All like clicks and abuse chucked in the bin.
Artificial intelligence is already suffering from three key issues: privacy, bias and discrimination, which if left unchecked can start infringing on – and ultimately take control of – people’s lives.
As digital technology became integral to the capitalist market dystopia of the first decades of the 21st century, it not only refashioned our ways of communicating but of working and consuming, indeed ways of living.
Then along came the the Covid-19 pandemic which revealed not only the lack of investment, planning and preparation that underlay the scandalous slowness of the responses by states around the world, but also grotesque class and racial inequalities as it coursed its way through the population and the owners of high-tech corporations were enriched by tens of billions.
It’s already too late to get ahead of this generative AI freight train.
The growing use of AI has already transformed the way the global economy works.
In this backdrop, AI can be used to profile people like you and me to such a detail which may well become more than uncomfortable! And this is no exaggeration.
This is just a tip of the iceberg!
So what if anything can be done to ensure responsible and ethical practices in the field.
Concern over AI development has accelerated in recent months following the launch of OpenAI’s ChatGPT last year, which sparked the release of similar chatbots by other companies, including Google, Snap and TikTok. The growing realization that vast numbers of people can be fooled by the content chatbots gleefully spit out, now the clock is ticking to not just the collapse of values that enshrine human life but the very existence of the human race.
“This is not the future we want.”
Now there is no option but to put in place international laws, not mandatory regulations, before AI is infringing human rights. However as we are witnessing with climate change, to achieve any global cooperation is a bit of a problem.
From the climate crisis to our suicidal war on nature and the collapse of biodiversity, our global response is too little, too late. Technology is moving ahead without guard rails to protect us from its unforeseen consequences.
So we have two contrasting futures one of breakdown and perpetual crisis, and another in which there is a breakthrough, to a greener, safer future. This approach would herald a new era for multilateralism, in which countries work together to solve global problems.
In order to achieve these aims, the Secretary-General of the United nations recommends a Summit of the Future, which would “forge a new global consensus on what our future should look like, and how we can secure it”. The need for international co-operation beyond borders is something that makes a lot of sense, especially these days, because the role of the modern corporation in influencing the impact of AI is in conflict with the common values needed to survive.
The principle of working together, recognizing that we are bound to each other and that no community or country, however powerful, can solve its challenges alone.” Any national government is, of course, guided by its own set of localised values and realities.
But geopolitics, I would argue, always underlies any ambition. The immaturity of the ‘Geopolitics of AI’ field leaves the picture incomplete and unclear so it requires the introduction of agreed international common laws.
Let Ireland hold such a Summit.
This summit could coordinate efforts to bring about inclusive and sustainable policies that enable countries to offer basic services and social protection to their citizens with universal laws that defines the several capabilities of AI i.e. identify the ones that are more susceptible to misuse than the others.
(It is incredibly important for understanding the current environment in which any product is built or research conducted and it will be critical to forging a path forwards and towards safe and beneficial AI.)
The challenges are great, and the lessons of the past cannot be simply superimposed onto the present.
For example.
The designers of AI technologies should satisfy legal requirements for safety, accuracy and efficacy for well-defined use cases or indications. In the context of health care, this means that humans should remain in control of health-care systems and medical decisions; privacy and confidentiality should be protected, and patients must give valid informed consent through appropriate legal frameworks for data protection.
Another For example the collection of Data which is the backbone of AI.
Transparency requires that sufficient information be published or documented before the design or deployment of an AI technology. Such information must be easily accessible and facilitate meaningful public consultation and debate on how the technology is designed and how it should or should not be used.
It is the responsibility of stakeholders to ensure that they are used under appropriate conditions and by appropriately trained people. Effective mechanisms should be available for questioning and for redress for individuals and groups that are adversely affected by decisions based on algorithms.
Laws to ensure that AI systems be designed to minimize their environmental consequences and increase energy efficiency.
If we want the elimination of black-box approach through mandatory explain ability for AI – Agreed or not agree should not be an option.
While AI can be extraordinarily useful it is already out of control with self learning algorithms that no one can understand or to be brought to account.
These profit seeking skewed algorithms owned by corporations are causing racial and gender-based discrimination.
I firmly believe that the Government must engage in meaningful dialogues with other countries on a common international laws that are now needed to subject developers to a rigorous evaluation process, and to ensure that entities using the technology act responsibly and are held accountable.
Having said that, governments must keep their roles limited and not assume absolute powers.
Multiple actors are jostling to lead the regulation of AI.
The question business leaders should be focused on at this moment, however, is not how or even when AI will be regulated, but by whom.
Governments have historically had trouble attracting the kind of technical expertise required even to define the kinds of new harms LLMs and other AI applications may cause.
Perhaps a licensing framework is needed to strike a balance between unlocking the potential of AI and addressing potential risks.
Or
AI ‘Nutrition Labels’ that would explain exactly what went into training an AI, and which would help us understand what a generative AI produces and why.
Or
Take the Meta’s open source approach which contrasts sharply with the more cautious, secretive inclinations of OpenAI and Google. With Open Source models like this and Stable Diffusion already out there, it may be impossible to get the Genie back into the bottle.
The metaverse is not well understood or appreciated by the media and the public. The metaverse is much, much bigger than one company, and weaving them together only complicates the matter.
Governments should never again face a choice between serving their people or servicing their debt.
Still, the most promising way not to provoke the sorcerer would be to avoid making too big a mess in the first place.
All human comments appreciated. All like clicks and abuse chucked in the bin
I am sure that unless you have being living on another planet it is becoming more and more obvious that the manner you live your life is being manipulate and influence by technologies.
So its worth pausing to ask why the use of AI for algorithm-informed decision is desirable, and hence worth our collective effort to think through and get right.
A huge amount of our lives – from what appears in our social media feeds to what route our sat-nav tells us to take – is influenced by algorithms. Email knows where to go thanks to algorithms. Smartphone apps are nothing but algorithms. Computer and video games are algorithmic storytelling. Online dating and book-recommendation and travel websites would not function without algorithms.
Artificial intelligence (AI) is naught but algorithms.
The material people see on social media is brought to them by algorithms. In fact, everything people see and do on the web is a product of algorithms. Algorithms are also at play, with most financial transactions today accomplished by algorithms. Algorithms help gadgets respond to voice commands, recognize faces, sort photos and build and drive cars. Hacking, cyberattacks and cryptographic code-breaking exploit algorithms.
Algorithms are aimed at optimizing everything.
Self-learning and self-programming algorithms are now emerging, so it is possible that in the future algorithms will write many if not most algorithms.
Yes they can save lives, make things easier and conquer chaos, but when it comes both the commercial/ social world, there are many good reasons to question the use of Algorithms.
Why?
They can put too much control in the hands of corporations and governments, perpetuate bias, create filter bubbles, cut choices, creativity and serendipity, while exploiting not just of you, but the very resources of our planet for short-term profits, destroying what left of democracy societies, turning warfare into face recognition, stimulating inequality, invading our private lives, determining our futures without any legal restrictions or transparency, or recourse.
The rapid evolution of AI and AI agents embedded in systems and devices in the Internet of Things will lead to hyper-stalking, influencing and shaping of voters, and hyper-personalized ads, and will create new ways to misrepresent reality and perpetuate falsehoods.
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As they are self learning, the problem is who or what is creating them, who owns these algorithms and what if there should be any controls in their usage.
Lets ask some questions that need to be ask now not later concerning them.
1) The outcomes the algorithm intended to make possible (and whether they are ethical)
2) The algorithm’s function.
3) The algorithm’s limitations and biases.
4) The actions that will be taken to mitigate the algorithm’s limitations and biases.
5) The layer of accountability and transparency that will be put in place around it.
There is no debate about the need for algorithms in scientific research – such as discovering new drugs to tackle new or old diseases/ pandemics, space travel, etc.
Out side of these needs the promise of AI is that we could have evidence-based decision making in the field:
Helping frontline workers make more informed decisions in the moments when it matters most, based on an intelligent analysis of what is known to work. If used thoughtfully and with care, algorithms could provide evidence-based policymaking, but they will fail to achieve much if poor decisions are taken at the front.
However, it’s all well and good for politicians and policymakers to use evidence at a macro level when designing a policy but the real effectiveness of each public sector organisation is now the sum total of thousands of little decisions made by algorithms each and every day.
First (to repeat a point made above), with new technologies we may need to set a higher bar initially in order to build confidence and test the real risks and benefits before we adopt a more relaxed approach. Put simply, we need time to see in what ways using AI is, in fact, the same or different to traditional decision making processes.
The second concerns accountability. For reasons that may not be entirely rational, we tend to prefer a human-made decision. The process that a person follows in their head may be flawed and biased, but we feel we have a point of accountability and recourse which does not exist (at least not automatically) with a machine.
The third is that some forms of algorithmic decision making could end up being truly game-changing in terms of the complexity of the decision making process. Just as some financial analysts eventually failed to understand the CDOs they had collectively created before 2008, it might be too hard to trace back how a given decision was reached when unlimited amounts of data contribute to its output.
The fourth is the potential scale at which decisions could be deployed. One of the chief benefits of technology is its ability to roll out solutions at massive scale. By the same trait it can also cause damage at scale.
In all of this it’s important to remember that while progress isn’t guaranteed transformational progress on a global scale normally takes time, generations even, to achieve but we pulled it off in less than a decade and spent another decade pushing the limits of what was possible with a computer and an Internet connection and, unfortunately, we are beginning running into limits pretty quickly such as.
No one wants to accept that the incredible technological ride we’ve enjoyed for the past half-century is coming to an end, but unless algorithms are found that can provide a shortcut around this rate of growth, we have to look beyond the classical computer if we are to maintain our current pace of technological progress.
A silicon computer chip is a physical material, so it is governed by the laws of physics, chemistry, and engineering.
After miniaturizing the transistor on an integrated circuit to a nanoscopic scale, transistors just can’t keep getting smaller every two years. With billions of electronic components etched into a solid, square wafer of silicon no more than 2 inches wide, you could count the number of atoms that make up the individual transistors.
So the era of classical computing is coming to an end, with scientists anticipating the arrival of quantum computing designing ambitious quantum algorithms that tackle maths greatest challenges an Algorithm for everything.
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Algorithms may be deployed without any human oversight leading to actions that could cause harm and which lack any accountability.
The issues the public sector deals with tend to be messy and complicated, requiring ethical judgements as well as quantitative assessments. Those decisions in turn can have significant impacts on individuals’ lives. We should therefore primarily be aiming for intelligent use of algorithm-informed decision making by humans.
If we are to have a ‘human in the loop’, it’s not ok for the public sector to become littered with algorithmic black boxes whose operations are essentially unknowable to those expected to use them.
As with all ‘smart’ new technologies, we need to ensure algorithmic decision making tools are not deployed in dumb processes, or create any expectation that we diminish the professionalism with which they are used.
Algorithms could help remove or reduce the impact of these flaws.
So where are we.
At the moment modern algorithms are some of the most important solutions to problems currently powering the world’s most widely used systems.
Here are a few. They form the foundation on which data structures and more advanced algorithms are built.
Google’s PageRank algorithm is a great place to start, since it helped turn Google into the internet giant it is today.
The PageRank algorithm so thoroughly established Google’s dominance as the only search engine that mattered that the word Google officially became a verb less than eight years after the company was founded. Even though PageRank is now only one of about 200 measures Google uses to rank a web page for a given query, this algorithm is still an essential driving force behind its search engine.
The Key Exchange Encryption algorithm does the seemingly impo
Backpropagation through a neural network is one of the most important algorithms invented in the last 50 years.
Neural networks operate by feeding input data into a network of nodes which have connections to the next layer of nodes, and different weights associated with these connections which determines whether to pass the information it receives through that connection to the next layer of nodes. When the information passed through the various so-called “hidden” layers of the network and comes to the output layer, these are usually different choices about what the neural network believes the input was. If it was fed an image of a dog, it might have the options dog, cat, mouse, and human infant. It will have a probability for each of these and the highest probability is chosen as the answer.
Without backpropagation, deep-learning neural networks wouldn’t work, and without these neural networks, we wouldn’t have the rapid advances in artificial intelligence that we’ve seen in the last decade.
Routing Protocol Algorithm (LSRPA) are the two most essential algorithms we use every day as they efficiently route data.
The two most widely used by the Internet, the Distance-Vector Routing Protocol Algorithm (DVRPA) and the Link-State traffic between the billions of connected networks that make up the Internet.
Compression is everywhere, and it is essential to the efficient transmission and storage of information.
Its made possible by establishing a single, shared mathematical secret between two parties, who don’t even know each other, and is used to encrypt the data as well as decrypt it, all over a public network and without anyone else being able to figure out the secret.
Searches and Sorts are a special form of algorithm in that there are many very different techniques used to sort a data set or to search for a specific value within one, and no single one is better than another all of the time. The quicksort algorithm might be better than the merge sort algorithm if memory is a factor, but if memory is not an issue, merge sort can sometimes be faster;
One of the most widely used algorithms in the world, but in that 20 minutes in 1959, Dijkstra enabled everything from GPS routing on our phones, to signal routing through telecommunication networks, and any number of time-sensitive logistics challenges like shipping a package across country. As a search algorithm, Dijkstra’s Shortest Path stands out more than the others just for the enormity of the technology that relies on it.
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At the moment there are relatively few instances where algorithms should be deployed without any human oversight or ability to intervene before the action resulting from the algorithm is initiated.
The assumptions on which an algorithm is based may be broadly correct, but in areas of any complexity (and which public sector contexts aren’t complex?) they will at best be incomplete.
Why?
Because the code of algorithms may be unviewable in systems that are proprietary or outsourced.
Even if viewable, the code may be essentially uncheckable if it’s highly complex; where the code continuously changes based on live data; or where the use of neural networks means that there is no single ‘point of decision making’ to view.
Virtually all algorithms contain some limitations and biases, based on the limitations and biases of the data on which they are trained.
Though there is currently much debate about the biases and limitations of artificial intelligence, there are well known biases and limitations in human reasoning, too. The entire field of behavioural science exists precisely because humans are not perfectly rational creatures but have predictable biases in their thinking.
Some are calling this the Age of Algorithms and predicting that the future of algorithms is tied to machine learning and deep learning that will get better and better at an ever-faster pace. There is something on the other side of the classical-post-classical divide, it’s likely to be far more massive than it looks from over here, and any prediction about what we’ll find once we pass through it is as good as anyone else’s.
It is entirely possible that before we see any of this, humanity will end up bombing itself into a new dark age that takes thousands of years to recover from.
The entire field of theoretical computer science is all about trying to find the most efficient algorithm for a given problem. The essential job of a theoretical computer scientist is to find efficient algorithms for problems and the most difficult of these problems aren’t just academic; they are at the very core of some of the most challenging real world scenarios that play out every day.
Quantum computing is a subject that a lot of people, myself included, have gotten wrong in the past and there are those who caution against putting too much faith in a quantum computer’s ability to free us from the computational dead end we’re stuck in.
The most critical of these is the problem of optimization:
How do we find the best solution to a problem when we have a seemingly infinite number of possible solutions?
While it can be fun to speculate about specific advances, what will ultimately matter much more than any one advance will be the synergies produced by these different advances working together.
Synergies are famously greater than the sum of their parts, but what does that mean when your parts are blockchain, 5G networks, quantum computers, and advanced artificial intelligence?
DNA computing, however, harnesses these amino acids’ ability to build and assemble itself into long strands of DNA.
It’s why we can say that quantum computing won’t just be transformative, humanity is genuinely approaching nothing short of a technological event horizon.
Quantum computers will only give you a single output, either a value or a resulting quantum state, so their utility solving problems with exponential or factorial time complexity will depend entirely on the algorithm used.
One inefficient algorithm could have kneecapped the Internet before it really got going.
It is now oblivious that there is no going back.
The question now is there anyway of curtailing their power.
This can now only be achieved with the creation of an open source platform where the users control their data rather than it being used and mined. (The uses can sell their data if the want.)
This platform must be owned by the public, and compete against the existing platforms like face book, twitter, what’s App, etc, protected by an algorithm that protects the common values of all our lives – the truth.
Of course it could be designed by using existing algorithms which would defeat its purpose.
It would be an open net-work of people a kind of planetary mind that has to always be funding biosphere-friendly activities.
A safe harbour perhaps called the New horizon. A digital United nations where the voices of cooperation could be heard.
So if by any chance there is a human genius designer out there that could make such a platform he might change the future of all our digitalized lives for the better.
All human comments appreciated. All like clicks and abuse chucked in the bin.
We all know that massive changes need to be made to the way we all live on the planet, due to climate change.
However most of us are not aware of the effects that artificial intelligence in having on our lives.
This post looks at our changing understanding of ourselves, due digitalized reasoning, which is turning us into digitalized
citizens, relying more on and more on digitalized reasoning for all aspects of living.
Does it help us understand what is going on? Or to work out what we can do about it?
It could be said that the climate is beyond our control, but AI remains within the realms of control.
Is this true?
It is true that the human race is in grave danger of stupidity re climate change which if not addressed globally could cause our extinction.
We know that using technology alone will not solve climate change, but it is necessary to gather information about what is happing to the planet, while our lives are monitored in minute detail by algorithms for profit.
There are many reasons why this is happing and the consequences of it will be far reaching and perhaps as dangerous if not more than what the climate is and will be bringing.
——–
While biology reasoning usually starts with an observation leading to a logical problem-solving with deductive conclusions
usually reliable, provided the premises are true.
Digital AI reasoning on the other hand is a cycle rather than any logically straight line.
It is the result of one go-round becomes feedback that improves the next round of question asking to ask machine
learning, with all programs and algorithms learning the result instantly.
Example One Drone to the next. One high-frequency trade to the next. One bank loan to the next. One human to the next.
Another words.
Digital Reasoning, is combining artificial intelligence and machine learning with all the biases program’s in the code in the first place without any supervision oversight, or global regulation
It combined volumes of data in real-time to remove the propose a hypothesis, to make a new hypothesis without conclusively prove that it’s correct. An iterative process of inductive reasoning extracts a likely (but not certain) premise from specific and limited observations. There is data, and then conclusions are drawn from the data; this is called inductive logic/ reasoning.
Inductive reasoning does not guarantee that the conclusion will be true.
In inductive inference, we go from the specific to the general. We make many observations, discern a pattern, make a generalization, and infer an explanation or a theory.
In other words, there is nothing that makes a guess ‘educated’ other than the learning program.
The differences between deductive reasoning and inductive reasoning.
Deductive reasoning is a top-down approach, while inductive reasoning is a bottom-up approach.
Inductive reasoning is used in a number of different ways, each serving a different purpose:
We use inductive reasoning in everyday life to build our understanding of the world.
Inductive reasoning, or inductive logic, is a type of reasoning that involves drawing a general conclusion from a set of specific observations. Some people think of inductive reasoning as “bottom-up” logic the one logic exercise we do nearly every day, though we’re scarcely aware of it. We take tiny things we’ve seen or read and draw general principles from them—an act known as inductive reasoning.
Inductive reasoning also underpins the scientific method: scientists gather data through observation and experiment, make hypotheses based on that data, and then test those theories further. That middle step—making hypotheses—is an inductive inference, and they wouldn’t get very far without it.
Inductive reasoning is also called a hypothesis-generating approach, because you start with specific observations and build toward a theory. It’s an exploratory method that’s often applied before deductive research.
Finally, despite the potential for weak conclusions, an inductive argument is also the main type of reasoning in academic life.
Deductive reasoning is a logical approach where you progress from general ideas to specific conclusions. It’s often contrasted with inductive reasoning, where you start with specific observations and form general conclusions.
Deductive reasoning is used to reach a logical and true conclusion. In deductive reasoning, you’ll often make an argument for a certain idea. You make an inference, or come to a conclusion, by applying different premises. Due to its reliance on inference, deductive reasoning is at high risk for research biases, particularly confirmation bias and other types of cognitive bias like belief bias.
In deductive reasoning, you start with general ideas and work toward specific conclusions through inferences. Based on theories, you form a hypothesis. Using empirical observations, you test that hypothesis using inferential statistics and form a conclusion.
In practice, most research projects involve both inductive and deductive methods.
However it can be tempting to seek out or prefer information that supports your inferences or ideas, with inbuilt bias creeping into research. Patients have a better chance of surviving, banks can ensure their employees are meeting the highest standards of conduct, and law enforcement can protect the most vulnerable citizens in our society.
However, there are important distinctions that separate these two pathways to a logical conclusion of what Digitized reasoning is going to do or replace human reasoning.
First there is no debate that Computers have done amazing calculations for us, but they have never solved a hard problem on their own.
The problem is the communication barrier between the language of humans and the language of computers.
A programmer can code in all the rules, or axioms, and then ask if a particular conjecture follows those rules. The computer then does all the work. Does it explain its work. No.
All that calculating happens within the machine, and to human eyes it would look like a long string of 0s and 1s. It’s impossible to scan the proof and follow the reasoning, because it looks like a pile of random data. “No human will ever look at that proof and be able to say, ‘I get it.’ They operate in a kind of black box and just spit out an answer.
Machine proofs may not be as mysterious as they appear. Maybe they should be made to explain.
I can see it becoming standard practice that if you want your paper/ codes/ algorithm to be accepted, you have to get it past an automatic checker – re transparency because efforts at the forefront of the field today aim to blend learning with reasoning.
After all, if the machines continue to improve, and they have access to vast amounts of data, they should become very good at doing the fun parts, too. “They will learn how to do their own prompts.”
company will enable customers to spot risks before they happen, maximize the scalability of supervision teams, and uncover strategic insights from large
The Limits of Reason.
Neural networks are able to develop an artificial style of intuition, leverage communications data to spot risks before they happen, and identify new insights to drive fresh growth initiatives, creating a large divide between firms investing to harvest data-driven insights and leverage data to manage risk, and those who are falling behind.
This will bear out in earnings and share prices in the years to come.
The challenge of automating reasoning in computer proofs as a subset of a much bigger field:
Natural language processing, which involves pattern recognition in the usage of words and sentences. (Pattern recognition is also the driving idea behind computer vision, the object of Szegedy’s previous project at Google.)
Like other groups, his team wants theorem provers that can find and explain useful proofs. He envisions a future in which theorem provers replace human referees at major journals.
Josef Urban thinks that the marriage of deductive and inductive reasoning required for proofs can be achieved through this kind of combined approach. His group has built theorem provers guided by machine learning tools, which allow computers to learn on their own through experience. Over the last few years, they’ve explored the use of neural networks — layers of computations that help machines process information through a rough approximation of our brain’s neuronal activity. In July, his group reported on new conjectures generated by a neural network trained on theorem-proving data.
Harris disagrees. He doesn’t think computer provers are necessary, or that they will inevitably “make human mathematicians obsolete.” If computer scientists are ever able to program a kind of synthetic intuition, he says, it still won’t rival that of humans.
“Even if computers understand, they don’t understand in a human way.”
I say the current Ukraine Russian war is the labourite of AI reasoning this war with all its consequence is telling us that AI should never be allowed near nuclear weapons or….dangerous pathogens.
An inductive argument is one that reasons in the opposite direction from deduction.
Given some specific cases, what can be inferred about the underlying general rule?
The reasoning process follows the same steps as in deduction.
The difference is the conclusions: an inductive argument is not a proof, but rather a probalistic inference.
When scholars use statistical evidence to test a hypothesis, they are using inductive logic.
The main objective of statistics is to test a hypothesis. A hypothesis is a falsifiable claim that requires verification.
Most progress in science, engineering, medicine, and technology is the result of hypothesis testing.
When a computer uses statistical evidence to test a hypothesis it’s assumption may or may not be true. To prove something is correct, we first need to take reciprocal of it and then try to prove that reciprocal is wrong which ultimately proves something is correct.
Finally this post has been written or generated by a human reasoning, that see the dangers of losing that reasoning to Digital reasoning of Enterprise Spock.
All human comments appreciated. All like clicks and abuse chucked in the bin.
Yes. Artificial Intelligence will most likely be needed to help us solve a lot of the big challenges facing society today, be that health, cures for diseases, climate change, etc. It is already predicting the shape of every protein in the human body.
However, in my mind it is deeply wrong that a small group of people ( under the skin of private technology enterprises) without any democratic oversight are making decisions with potentially to affect every life on earth.
Its time to take our blinkers off and let the world have a say in what they are doing.
Why?
Because a three-letter acronym ( God like AI) doesn’t capture the enormity of what Artificial General Intelligence (AIG) will represent, or do. This would be a force beyond our control or understanding and one that will usher in the obsolescence or destruction of the p
The Beady Eye has been bleating on about this and profit seeking algorithms, now for some considerable time, but from the number of comments on the subject it seems not many of us give a hoot for the need for transparencies, regulations, and overall safeties when it comes to technology. So we are running to the finishing line without any understanding of what on the other side.
Since the arrival of the internet/smart phone one only has to look at the state of the Planet to realise that we have gone training – AI ALGORITHMS / TECHNOLOGY TO GENERATE TEXTS/ RECONGISING EVEREYDAY IMAGES/ GENERATING REALISTIC PHOTOS/ AND REPLICATION OF VOICES, BY FEEDING THEM WITH THE ENTIRE INTERNET STRIP-MINING THE LIFEWORLD. (The focus on games and chatbots is sheltering people from the more serious implications of this work.)
The world already has many existential threats, but the threat posed by AIG is the number one risk of this century, with an engineered biological pathogen a close second. The potential for scams and misinformation is significant.
An God like super intelligent machine would be light out for all of us.
So the question is.
Why are these organisation racing to create God like AI ?
Is it that it gives an illusion of illimitable power.
For now the race is being driven by markets, with the Ukraine war the labourite of cyber wars, making private investment not the only driving force but nations also contributing to this contest.
If we put the wrong objects into a super intelligent machine we are bound to lose.
Unlike the human brain that grows large Ai systems are quite different.
They grow themselves with machine learning and their capabilities jump sharply.
We don’t yet full understand how they work and cannot demonstrate likely out comes in advance.
The present harms and AI/AIG are not mutually exclusive and overlap in important ways.
One of the most challenging aspects of thinking about this topic is working out which precedents we can draw on.
WE ARE NOT POWERLESS TO SLOW DOWN THIS RACE.
If we can get our governments to ask under oath about the timeline for developing God’s like AIG. To demand under law a complete record of the safety tests with evidence of understand how the system works, to ensure their aliment with our common values, we might save humanity, before we humans are cut out of the loop.
Unfortunately economics has not been flexible enough to take on this obvious truth The whole field and discipline of economics, by which we plan and justify what we do as a society, is simply riddled with absences, contradictions, logical flaws, and most important of all, false axioms and false gaols.
All human comments appreciated. All like clicks and abuse chucked in the bin.
Some things we can mitigate, some we can’t. Some things we can adapt to, some we cannot.
The question of how (or whether) we respond to climate change ultimately is a matter for policymakers to decide, but politics cannot (and should not) be separated from good science. And so on, and so on. We’ve heard them all.
As CLIMATE CHANGE impacts grow in frequency and severity, they will—and in many cases already have—create crises for people and nature around the world. If unchecked, these impacts will spread and worsen with more animal extinction and biodiversity loss, water shortages, and displaced communities.
Climate change is one of the most contentious issues facing society today.
Over the past several decades, we have seen not only increasing environmental degradation, but also the erosion of the concepts of the public good and collective responsibility to preserve nature.
In embracing the monetary valuation of nature as a strategy for mobilizing support for environmental conservation, environmentalists are resigning themselves to a political status quo that can only comprehend value in terms of money and markets.
By viewing ecosystems and their services through a pecuniary lens, monetization profoundly changes our relationship with nature, and, if taken to the point of commodification, can subject the fragility of nature’s balance to the destructive logic and volatility of markets.
Even though the trend toward the privatization of public goods has been pervasive over the past decades, we should not acquiesce so easily in allowing the privatization of the most basic public good of all—nature itself.
We must meet the grave environmental challenges of the twenty-first century with boldness and prudence, using the precautionary principle, along with the principles of fairness and democracy, to set boundaries that human action must not transgress.
Some argue that monetization, by revealing the economic contribution of nature and its services, can heighten public awareness and bolster conservation efforts. Others go beyond such broad conceptual calculations and seek to establish tradable prices for ecosystem services, claiming that markets can achieve what politics has not. Such an approach collapses nature’s complex functions into a set of commodities stripped from their social, cultural, and ecological context.
Although the path from valuation to commodification is not inevitable, it is indeed a slippery slope.
Do nature’s services need a monetary value?
Do conservation policy need an economic motive to get sufficient attention from policymakers and the public?
One approach seeks to monetize the value of nature simply in order to reveal its immense economic contribution to society.
Monetization is only meaningful and effective if there are markets to set prices for the ecosystem services in question. Markets for such commodified ecosystem services, they argue, can protect conservation policy from the vagaries of political will. Roll back bureaucratic red tape, and let the market work its magic to save nature.
The line between valuation and commodification, although clear in theory, becomes blurred in practice.
The monetization of any resource can cause long term problems for people.
To be sure, valuation alone does not inevitably entail the risks to the preservation of nature intrinsic to commodification. Nevertheless, it changes how we see and relate to nature and can inadvertently pave the way for the privatization of ecosystem services that the advocates of valuation often oppose.
Environmentalists, business leaders, and policymakers have all sought to make environmental protection an economic rather than just a political issue. The introduction of “no net loss” policies, which allow economic development to proceed as long as the net acreage of a specific type of ecosystem is maintained, has effected a paradigm shift in environmental policymaking. However, offsetting ignores how unique and interconnected biodiversity is, and it overlooks the importance of nature for local communities and the ways they suffer when their ecosystems are damaged. Land-use policies based on whether a company can pay for an offset, and not on what local communities and humanity need to survive, undermine basic rights and democratic principles
National economic accounts such as GDP remain blind to the services of nature. Such accounts likewise fail to distinguish between constructive and destructive economic activity with respect to human and ecological well-being. Needless to say, a deeper understanding and greater awareness of the relationship of society to nature is always welcome, but the rigor and usefulness of GDP-level information remains questionable.
Delineating an individual ecosystem from the complex fabric of nature poses numerous significant challenges. For example, the provision of oxygen for humans and animals to breathe is an ecosystem service of global scale.
But how do we value the contribution of individual sub-systems like a single forest to this global service?
We could all still breathe if one forest is cut down, but not if all forests were cut down.
Embarking upon the path of valuation also changes the way we see and understand nature.
The value of the whole ecosystem to society is more than the sum of its monetized parts:
Reducing its value to mere monetary terms, even if it were technically practical, strips away its cultural and spiritual value. A bad policy can be replaced, but the holistic functions of nature cannot.
Through disaggregation, each service can be rendered into a discrete monetizable “package” so that it can have its own market and its own price. Such an approach tilts policymaking in favour of the interests of the economically powerful. The least powerful actors—often local communities, indigenous peoples, women, small-scale farmers, etc.—get pushed to the margins, their voices ignored.
In order to prevent monetization from slipping into commodification, we must revisit one of the hallowed principles of environmental policy: the precautionary principle. It states that when an action or policy could pose a substantial risk to the environment, a very high burden of justification should fall on those seeking to take such an action. Like the classical mantra of medical ethics, the precautionary principle insists upon first doing no harm.
What if one of those billionaires manipulates the market by withholding or restricting the free flow of water?
71% of Earth’s surface is water.
There are 326 million trillion gallons of it on and in the planet. 96.5% of the water is ocean water, and just 3.5% is fresh water. Of that 3%, 69% of that water is locked up in glaciers. Another 30% of that freshwater is underground and usually requires costly extraction. That leaves 114 million billion gallons of readily accessible freshwater, not necessarily drinkable water, but water nonetheless. That sounds like enough, but it represents just 1% of the Earth’s water for every man, woman, child, and animal on the planet. That 1% of the water has to also serve every agricultural and industrial need on the planet. In most cases, it also needs to be filtered and treated before it is safely consumable.
So, though there is plenty of water on the planet, not very much of it is drinkable. Not very much of it is accessible, and the distribution methods are easily manipulated, legislated, and monetized. That’s never good for the common man. Nestle Water, for instance, extracted 36 million gallons of water from a national forest in California in 2015 to sell as bottled water, even as Californians were ordered to cut their water use because of a historic drought in the state.
Farmers, hedge funds, and municipalities alike can now hedge against — or bet on — future water.
While that may seem innocuous enough, the cost disparity probably gets passed on to the cities and individual consumers. It’s easy to imagine how many ways the monetization of water as a commodity is a dangerous first step in government and corporate overreach and intrusion. Mega-banks and investment firms such as Goldman Sachs, JP Morgan Chase, Citigroup, UBS, Deutsche Bank, Credit Suisse, Macquarie Bank, Barclays Bank, the Blackstone Group, Allianz, and HSBC Bank, among others, are consolidating their control over water.
Wealthy tycoons such as former President George H.W. Bush and his family, Hong Kong’s Li Ka-shing, Philippines’ Manuel V. Pangilinan, and others are also buying thousands of acres of land with aquifers, lakes, water rights, water utilities, and shares in water engineering and technology companies all over the world.
Complicit governments are legislating your rights to access and accumulate Earth’s free-flowing resources. It falls from the sky onto your property, but it is owned by someone else the minute it touches the Earth.
Water rights are conveyed as real property interests using the same formalities as real estate, but in most cases, everyone is tapped into the same source. If fracking, mining, or industrial operations pollute that source, they spoil it for everyone. So, merely having access to a water source is not enough.
The fact is that water is being restricted, legislated, and monetized more every year, and the rich are grabbing up the rights as fast as they can.
During periods of drought, when water levels are already low, it is easy to imagine how one person’s control over a large water area can lead to huge profits. This is why the super-wealthy are snapping up water, water contracts, water rights, and governments letting them do so all over the world. Two billion people now live in nations plagued by water problems, and almost two-thirds of the world could face water shortages in just four years. Even on a planet covered and steeped with water, water is a resource. As a resource, it can be monetized and controlled, and you could be denied or deprived of access to it.
Whatever you choose to call it, the most important thing is that we act to stop it.
If it is not the capitalization and exploitation of the resources of our planet with climate change will continue.
I can assure you, the super-wealthy are not buying up the water around the planet for altruistic purposes. They are doing so because they see a profit from it. Freshwater first then fresh air.
—–
CLIMATE CHANGE IS NOW A PRODUCT AND NET ZERO A SLOGAN.
There is now no stopping sea levels rising. A two meter rise would displace more than 2% of the world’s population and cut world food production/ supply by 25%. The rate of carbon emissions are the highest they’ve been in 66 million years and the amount of warming in the coming decades is expected to be 250 times greater than the average warming during the past century.
The rate of ocean acidification is the highest it has been in 300 million years!
Warming surface waters may be contributing to slowing ocean currents.
The warming climate is contributing to rising populations of insect / pests.
To mitigate the effects of climate change is going to cost quadrillions.
We are on course to match the worst extinction of earth species both on land and in the oceans.
We at a point where money will not suffice to make a difference.
There’s no consensus on global warming.
Many species are approaching—or have already reached—the limit of where they can go to find hospitable climates. In the polar regions, animals like polar bears that live on polar ice are now struggling to survive as that ice melts.
From straining agricultural systems to making regions less habitable, climate change is affecting people everywhere.
Climate change also exacerbates the threat of human-caused conflict resulting from a scarcity of resources like food and water that are less reliable as growing seasons change and seasons become less predictable. Around the globe, many of the poorest nations are being impacted first and most severely by climate change, even though they have contributed far less to the increase in carbon emissions that has caused the warming in the first place.
Higher temperatures are affecting the length of seasons and in some places, are already crossing safe levels for ecosystems and humans.
Now more than ever in order to enable a just transition to a low-carbon economy, gender and equality, human rights, and food security, with links to climate change we must use the power of the law to fight those who would harm our communities, our climate, and the natural world we value so deeply.
Recently, many countries have focused on mainstreaming net zero emissions targets: 138 states have now made a net zero pledge.
However, targets in all climate-related national laws and policies are currently far from the pledges made in NDCs (Simply put, an NDC, or Nationally Determined Contribution, is a climate action plan to cut emissions and adapt to climate impacts) and from enabling global warming to be limited to below 2 °C.
For NDCs to work, they need to be widely understood and used by businesses, civil society, academia and ordinary citizens. Each has roles to play, which is why many governments invite different constituencies to take part in defining NDC priorities.
For many reasons, including a lack of adequate finance, capacity and, in some cases, insufficient political commitment combined with the pandemic-related economic downturn is expected to constrain implementation.
For developing countries, moving forward depends on developed countries realizing their commitment to provide $100 billion in climate finance to developing countries. Dedicating half of this amount to adaptation, would help close significant financing shortfalls for vital measures to protect lives and livelihoods. Rapid policy developments are required to achieve this goal.
Climate change legislation is less a politically partisan issue than is commonly assumed:
Everyone is a climate actor and can be part of the change that needs to happen.
If we can slow or stop deforestation and manage natural land so that it is healthy, we could achieve up to one third of the emission reductions needed by 2030 to keep global temperatures from rising more than 2°C (3.6°C).
We must as a planet commit ourselves to reaching net zero carbon emissions by 2050.
The truth, however, is that even if we do successfully reach net zero carbon emissions by 2050, we will still have to address harmful climate impacts, and so the solution to climate change must also include measures to adapt to the impacts of global warming.
We need to increase renewable energy at least nine-fold from where it is today. This cannot be achieved without a major shift to renewable energy.
There is not a hard and fast deadline on climate action vs. inaction. There is no definitive line of demarcation that we can protect against; instead it is a matter of minimizing the effects of climate change.
We need to begin reducing carbon emissions RIGHT NOW to give our planet and our population the future that is least impacted.
The low carbon economy that we need to create will also give us cleaner air, better energy choices, new jobs and may even save us money. Likewise, many of the natural solutions that we need to adapt to even today’s climate change impacts benefit all of us: cleaner air and water, more natural recreation opportunities and jobs.
Nature, like climate, may be approaching irreversible tipping points where changes push systems into completely new states, even as more than half the global GDP depends on the planet’s natural systems.
For climate, the world has a clear net zero emissions goal.
But what’s the goal for nature? It hardly takes a genius to see things aren’t going well in the world or for our civilization.
When we actually look at the state of our civilization — in factual, empirical terms — the results are…well, you’ll be able to judge for yourself in just a moment.
Progress has flatlined and ground to a halt.
Living standards are declining in 90% of countries.
Each generation now does worse than the one before it,
Democracy’s in steep decline around the globe
The points above may in truth be small fry, compared to this one.
We are running out of our most basic, critical, fundamental resources.
People are more pessimistic now than at any point during the last century.
Anxiety, rage, anger, and despair are the defining sentiments of now — along with maybe the numbness of endlessly scrolling some algorithmically generated infotainment feed.
I could go on. But it’s hardly necessary. All the above are facts. They aren’t opinions, speculations, or even conclusions. They’re empirical truths about our civilization.
Each of the points above is its own crisis, and each one of them would be bad enough for any age, challenging, threatening, arduous enough.
But all of them, together, at once? That’s something new. They are painting a caricature without really thinking about the state of life as it is now.
All human comments appreciate. All like clicks and abuse chucked in the bin.
There are no words to describe the present state of our world.
Here below is a recent picture from Australia, it more than adequately does the job.
A thousand fish per square metre (caused “severe deoxygenation”)
We seen conflict raging for decades across the world, as if war is always and forever an ordinary routine, limited to developing third world nations, however wars are no longer something visited upon impoverished and remote populations. With the Coming Climate Change we ent seeing nothing yet when it comes to wars.
IT IS THE DEFINING ISSUE OF OUR TIMES, WITH PROFOUND CONSEQUENCES, FOR THE FOOD CHAIN, ENGERY DISEASES, DWINDELING RESOURSE AND FUTURE WARS.
To date we have had summit after summit with countries promising to reduce their carbon emission at varying degrees and rates of time, with 60% not in the west returning home, PROBALY THINKING WHY SHOULD THEY BE CARRYING THE CAN WHEN ITS IS THE COUNTRIES IN THE WEST THAT CAUSED THE PROBLEM IN THE FIRST PLACE.
We are already in a pivotal moment in deciding our planets future, which requires significant societal changes to mitigate it.
Why?
Because our current global political economy solves problems through business as usual growth, wasting precious time to effectively reduce emissions to prevent human suffering and ecological system collapse at an unimaginable scale.
Because we are unable to put the common good in front of short term profit.
Although we have been raising public awareness on climate change for years, this is not enough; the global temperature increases day by day. Unless greenhouse gas emissions and global temperature are reduced within years, the world will face demanding consequences.
Because the fragility of life as we know it, will be shattered by Climate change.
——–
Most human beings have an almost infinite capacity for taking things for granted. What we fail to remember is that we ourselves live in the very world we do not seem to care what happens to.
We do not realise is that with each day that passes without any action, the number of natural resources available also decreases significantly.
Take the Fashion Industry’s for example.
10,000 litres of water are used to produce just one kilogram of cotton.
WITH OVER 5 BILLIONS PAIRS OF JEANS PRODUCED A YEAR – 60 PAIRS A SECOND USING – 1000 LITERS OF WATER PER PAIR = A MIND BLOWING WASTE OF WATER.
The average jeans collection needs 36,250 litres of water. Hoodies and sweatshirts need 23,450 litres. T-shirts and shirts require 15,000 litres, while our undergarments combined use 45,950 litres of water. The average person drinks 691 litres of water per year.
This means that our jeans collection has used 52.5 years of drinking water for one person.
The next time you put on your best threads, think about the environmental cost of your outfit — you may just be dripping wet.
——
” We are now entering in the politics of eternity and the politics of inevitability.”
How is the Earth going to survive, if the only species it has the chance to lean on, turn their back to it?
Climate is the envelope within which all other environmental conditions and processes important to human well-being must function. ANY TIPPING POINT COULD opened the floodgates.
Inevitability politicians portray history as a journey from savagery to civilization and assume this trend will continue to their desired outcome.
We have witnessed in the past 30 years the degradation of liberal democracy, the spread of Islamic terror across borders, and the resilience of the illiberal Chinese political system.
Up to now very form of society has been based, on the antagonism of oppressing and oppressed classes…This is why Capitalism combined with democracy has provided the perfect balance for governance, and as a consequence took root in most countries.
The liberal arrogance shown at the end of the 20th century paved the way for the blowback of the 21st.
Liberals failed to confront the innate inequality of the post-war international order so liberal inevitability politics sealed its own fate. By failing to address the problems of the now rapidly collapsing global order, and those who are committed to democracy and strong institutions have spent this century trying to pick up the pieces.
Where eternity politics is best on display currently is in the Russian narrative on their invasion of Ukraine.
To the Russian eternity politician, the West is simply repeating its century-old tactic to assault Russian values and Russia’s greatness, as they did in the Crimean War, Great Northern War, or any other conflict they may pick.
But the eternity politician makes the same mistake as the inevitability politicians, they remove agency from individuals and movements with personalized beliefs, motivations, and tactics.
Herein lies the problem with both the politics of inevitability and the politics of eternity:
They ignore the fact that developments in the political and social conscience of individuals and societies determine history, not the other way around.
As an entire nation of people is stripped of its agency the war in Ukraine is boiling down into a proxy war between two great powers. However, what cannot be done is to create a single coherent narrative about the historical past, the political present, and the prospective future, because of the simple fact that human beings do not have omniscience.
We cannot possibly isolate the individuals and communities that shape historical development. We cannot aggregate history, and we should not try. Revolutions did occur in China and in Russia (along with many other places), regimes committed atrocities with impunity, as everything they did was in service of the righteous and inevitable world revolution, just as the dogma told them.
The most dangerous facet of the politics of eternity and politics of inevitability is not the gross oversimplification of history they embody, but rather the societal implications they necessitate.
In the case of liberal capitalist democracies, it leads to a small group of wealthy individuals amassing such great control that it threatens the very institutions liberals revere as eternal.
For the Marxist, it leads to the justification of mass arrest, disenfranchisement , and slaughter in the name of an inevitable world revolution that will never arrive. And for the nationalist, it means a constant paranoid struggle for dominance against their neighbours, no matter the cost.
So with the arrival of the Internet /Social media / The smartphone, are we in an “intellectual coma.” left with a form of Capitalism that is no longer working.
In denying historicism, we shouldn’t deny that progress is possible, rather we should accept that progress is not pre-determined, and relies on all of us as active participants to truly make history.
Climate change with out a doubt will lead to social disruption and potentially violent conflict.
I shudder to think about this impromptu utterances.
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It’s not that difficult to see that, says mass migration, it will provoke more conflict in the world.
Our tribalism will become more apparent over the next decade or so. Social Media reflects this with the pervasive mentality in western journalism of normalizing tragedy in parts of the world, such as the Middle East, Africa, south Asia, and Latin America, Syria, Afghanistan, Ukraine, your name it and it is perversely turned into entertainment.
Everything will have to adapt to the changing times.
As culture change, so does the way we consume it – all digital and virtual viewing merging into a digital and physical worlds with interactions changing into an endless cycle of content discovery, co-creation and sharing, which will deepen the emotional impact of content or by- pass it completely. This extends beyond our screens and newspapers and easily bleeds and blends into politics.
Righteous outrage immediately mounted online.
Xenophobia is an efficient tool to keep people divided. Colonial powers knew this early on. By separating people based on superficial characteristics, such as skin colour, and then assigning qualities to these features (such as being civilized vs. barbarian, or intelligent vs. backward), people started to believe that they were different from each other based on these highly unscientific classifications. To eradicate racism, we must become aware that our ancestors invented the notion of race for self-fulfilling reasons rooted in unscientific assumptions.
The question becomes how we classify people as strangers. This changes over time. Therefore, the classification of people as strangers is culturally constructed, with racism being one of its many forms.
Race and racism were non-existent during most of human history. To be human has always meant one thing -to be civilised. One was not born human. One had to become human.
Racism is a recently invented classification system that triggers xenophobia.
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After demonizing and abusing refugees, especially Muslim and African refugees, for years., now if one does not look like a refugee the chances of being excepted anywhere is almost zero.
You can see it already in Europe.
I suspect we’re going to see more nativism, more xenophobia, and more talk of building walls on our borders. Neighbour helping neighbour is a dying falsify.
Very concept of providing refuge is not and should not be based on factors such as physical proximity or skin colour.
The idea of granting asylum, of providing someone with a life free from political persecution, must never be founded on anything but helping innocent people who need protection. That’s where the core principle of asylum is located. If not we are showing ourselves as giving up on civilization and opting for barbarism instead.
On the one hand, there is something to be said about the idea of mankind as a group defined, beyond gender, race, or class, by a characteristic shared by all humans.
The history of the idea of human nature since the 5th century BC represents the history of Western violence and domination. It bears witness to some of the deepest conflicts and divisions the earth has seen.
The West identifies capitalism, liberalism and democracy as markers of civilisation and progress against Islamic fundamentalism, theocratic rule, and what it irresponsibly calls ‘the Muslim world’.
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These things exist with or without climate change, but the effects of climate change — migration in particular — will exacerbate them and help fuel reactionary movements around the world.
Ideology will always be a surface-level justification for conflict — people come up with narratives to justify whatever they’re doing in the political world. But if you look deeply at the source of future conflicts, I think you’ll see a basic resource conflict at the bottom of it all.
We can say with some confidence that climate change will render huge parts of the world less hospitable to human beings, and that as a consequence, humans will have to change how and where they live.
Are we prepared? NO!
Do we have the institutions, the structures, the systems of cooperation we need to deal with this problem? NO!
Have we existing structure of peacekeeping that can hold up under these conditions? NO!
Can Western democratic society, which is built on a system of limitless growth and productivity, change its destructive relationship with nature? NO!
Modern liberal democratic societies are successful at improving the lives and freedoms of people who live in them. The problem is that these systems are based on the exploitation of nature and our environment, and we’re sort of trapped in this paradigm.
The lessons for those of who lived through the coronavirus pandemic today, it that Civilization is a very thin veneer. That your well-being as individuals really depends on the flourishing of the greater society.
Why?
Because under even slight amounts of pressure, that social contract starts to break down, and [when] people lose that veneer … that can be very dangerous. If a pandemic finds a society that is fractured, where there is distrust, where the public health system is neglected or in decay … that is going to be revealed, as it was with profiteers during the pandemic “willing to make money off human misery”
——–
Putting the pandemic into perspective as a terrible episode, but nonetheless just one episode, in a much longer story. This however is not an option when it comes to Climate Change. Overwhelmed by the disaster, people will see what our system of Capitalism has become.
I think one of the things that is clearly exacerbating matters is when the issue is what we’d call politicized.
With technology and social media we humans – we become the stories that we tell ourselves. Our stories are never just stories. They are self-fulfilling prophecies.
That’s because we tend to use history, which is at its heart the study of surprises, as a guide to the future. This should however not stop us from aiming to better understand the future: the knowledge gained through planning is crucial to the selection of appropriate actions as future events unfold. We don’t know the answer, but we can at least ask useful questions and catalyze the conversation!
It’s important to remember that technology is often value-neutral: it’s what we do with it day in, day out that defines whether we are dealing with the “next big thing”.
Is there a way to think of the human being beyond the opposition between the ‘civilized’ and the ‘barbarian’?
Or is such an idea of mankind yet to be invented?
Watch and weep.
All human comments appreciated. All like clicks and abuse chucked in the bin.
Unfortunately, the future isn’t talking. It’s just coming, like it or not being able to see the future might not play to our advantage.
Let’s not kid ourselves: Everything we think we know now is just an approximation to something we haven’t yet found out.
To imagine and think about the future, is a risky task that frequently ends up in an incomplete, subjective, sometimes vacuous exercise that, normally, faces a number of heated discussions.
Thinking about the future requires imagination and also rigour so we must guard against the temptation to choose a favourite future and prepare for it alone.
In a world where shocks like pandemics and extreme weather events owing to climate change, social unrest and political polarization are expected to be more frequent, we cannot afford to be caught off guard again.
Let’s look at some of the areas that are and will cause everything from wars to radical changes.
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Every day, we use a wide variety of automated systems that collect and process data. Such “algorithmic processing” is ubiquitous and often beneficial, underpinning many of the products and services we use in everyday life.
This is why we now need to thoroughly understand what’s at stake and what we can (and cannot) do …today.
Otherwise it is an ill wind for the next 60/100 years.
But what does the future hold for ordinary mortals, and how will we adapt to it?
We have been searching the universe for signs that we are not alone. So far, we have found nothing.
Given our genome and the physiological, anatomical and mental landscapes it conjures, what could Homo sapiens really become – and what is forever beyond our reach?
It’s hard to know what to fear the most.
Even our own existence is no longer certain.
Threats loom from many possible directions: a giant asteroid strike, global warming, a new plague, or nanomachines going rogue and turning everything into grey goo or the dreaded self inflicted nuclear wipe out. However we look at it, the future appears bleak.
Where is all of this leading us?
What we do now set the foundations for a future.
The chaos theory taught us that the future behaviour of any physical system is extraordinarily sensitive to small changes – the flap of a butterfly’s wings can set off a hurricane, as the saying goes.
Computers simulations of future reality of a world are already producing ever more accurate predictions of what is to come, showing us that we are under immense stress, environmentally, economically and politically instabilities.
There is no God that’s is going to change the direction we on or save humanity from self destruction, its in our hands
—–
ENGERY: FUSION POWER.
We already live in a world powered by nuclear fusion. Unfortunately the reactor is 150 million kilometres away and we haven’t worked out an efficient way to tap it directly. So we burn its fossilised energy – coal, oil and gas – which is slowly boiling the planet alive, like a frog in a pan of water.
Fusion would largely free us from fossil fuels, delivering clean and extremely cheap energy in almost unlimited quantities.
Or would it? Fusion power would certainly be cleaner than burning fossil fuels, but it …Fusion works on the principle that energy can be released by forcing together atomic nuclei rather than by splitting them, as in the case of the fission reactions that drive existing nuclear power stations.
Sadly it won’t help in our battle to lessen the effects of climate change.
Why?
Because there’s huge uncertainty about when fusion power will be ready for commercialisation. One estimate suggests maybe 20 years. Then fusion would need to scale up, which would mean a delay of perhaps another few decades. Fusion is not a solution to get us to 2050 net zero. This is a solution to power society in the second half of this century.
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THE INTERNET/ ARTIFICAL INTELLIGENCE/ SELF LEARNING ALGORITHMS/ROBOTS.
Billions of dollars continue to be funnelled into AI research. And stunning advances are being made but at what future cost.
Are we at the point in time at which machine intelligence starts to take off, and a new more intelligent species starts to inhabit Earth?
Synthetic life would make the point in a way the wider world could not ignore. Moreover, creating it in the lab would prove that the origin of life is a relatively low hurdle, increasing the odds that we might find life.
POWER.
Neither physical strength nor access to capital are sufficient for economic success. Power now resides with those best able to organize knowledge. The internet has eliminated “middlemen” in most industries, removing a great deal of corruption but replacing it with profit seeking Algorithms that are widely used increasing the inequality gaps.
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WARS.
What does future warfare look like?
It’s here already.
Up goesdigital technology, artificial intelligence and cyber. Down goes the money for more traditional hardware and troop numbers.
The present war in the Ukraine is the laboratory for machine learning decision killing, with autonomy in weapons systems – precision guided munitions. (Autonomous weapon system: A weapon system that, once activated, can select and engage targets without further intervention by a human operator.) This includes human-supervised autonomous weapon systems that are designed to allow human operators to override operation of the weapon system, but can select and engage targets without further human input after activation.
(AI)-enabled lethal autonomous weapons in Ukraine, might make new types of autonomous weapons desirable.
There is still no internationally agreed upon definition of autonomous weapons or lethal autonomous weapons.
‘Fire and forget’
Many of the aspects of a major conflict between the West and say, Russia or China, have already been developed, rehearsed and deployed.
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CLIMATE CHANGE.
Global climate change is not a future problem with some of the changes now irreversible over the next hundreds to thousands of years.
The severity of effects caused by climate change will depend on the path of future human activities.
Climate models predict that Earth’s global average temperature will rise an additional 4° C (7.2° F) during the 21st Century if greenhouse gas levels continue to rise at present levels. A warmer average global temperature will cause the water cycle to “speed up” due to a higher rate of evaporation. Which means we are looking at a future with much more rain and snow, and a higher risk of flooding to some regions. Changes in precipitation will not be evenly distributed.
Over the past 100 years, mountain glaciers in all areas of the world have decreased in size and so has the amount of permafrost in the Arctic. Greenland’s ice sheet is melting faster, too. The amount of sea ice (frozen seawater) floating in the Arctic Ocean and around Antarctica is expected to decrease. Already the summer thickness of sea ice in the Arctic is about half of what it was in 1950. Arctic sea ice is melting more rapidly than the Antarctic sea ice. Melting ice may lead to changes in ocean circulation, too. Although there is some uncertainty about the amount of melt, summer in the Arctic Ocean will likely be ice-free by the end of the century.
Abrupt changes are also possible as the climate warms.
Earth Will Continue to Warm and the Effects Will Be Profound.
The consequences of any of them are so severe, and the fact that we cannot retreat from them once they’ve been set in motion is so problematic, that we must keep them in mind when evaluating the overall risks associated with climate change.
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IMMIGRANT’S /REFUGEE’S
History—particularly migration history—has shown time and again, that large population movements are often a result of single, hard-to-predict events such as large economic or political shocks.
Imagining migration’s future is urgent, especially now, when we are witnessing the highest movement of people in modern history, which is presented in a political context with strong populist and nationalist overtones, peppered with growing inequality in and between countries; in addition to an environmental crisis and a growing interconnection and proliferation of information that is usually deliberately distorted.
In today’s acts rests the seed of what we will harvest tomorrow. What we do today with and for the migrants will define not only their future but also ours.
We will always struggle to anticipate key changes in migration flows but that it’s more important to set up systems that can deal with different alternative outcomes and adjust flexibly. Most Western countries no longer openly support or defend the universality of human rights. Most countries apply “multilateralism à la carte”, that is, they participate only in multilateral agreements that strictly benefit their national interest.
Migration control systems collapsed because the international community failed to develop multilateral migration governance regimes. The international protection system has ended up being irrelevant. Many people are moving, the number of displaced people has increased dramatically as well as the number of refugees – The Trojan horses.
Immigration isn’t a new phenomenon, but with the effects of the future climate the scale and variety of countries from which people are moving will be greater than ever.
The idea that you have to learn a foreign language to make yourself understood in your own country is no longer a probability.
We now have immigration from everywhere in the world.
Very few people have issues with genuinely high skilled migrants coming over to work as doctors or scientists. The anxieties are always around mass immigration of low skilled labour (and in particularly about those from diametrically opposed cultures with completely different norms and values). As for the ageing populations thing, replacing your population with younger migrants from different cultures does technically solve the ageing population problem but then you end up with a completely different culture and country…
What ever you think, it’s becoming more difficult to do the old-style identity politics where you found a particular group and did what they wanted. Effectively assimilating people from the Muslim world looks to be a particular difficult.
Nearly all nations are mongrels
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EDUCATION.
By imagining alternative futures for education we can better think through the outcomes, develop agile and responsive systems
and plan for future shocks .We have already integrated much of our life into our smartphones, watches and digital personal
assistants in a way that would have been unthinkable even a decade ago.
The underlying question is: to what extent are our current spaces, people, time and technology in schooling helping or hindering
our vision?
It would involve re-envisioning the spaces where learning takes place. Schools could disappear altogether.
ALGORITHMIC SYSTEMS.
Brute force algorithm: This is the most common type in which we devise a solution by exploring all the possible scenarios.
Greedy algorithm: In this, we make a decision by considering the local (immediate) best option and assume it as a global optimal.
Divide and conquer algorithm: This type of algorithm will divide the main problem into sub-problems and then would solve them individually.
Backtracking algorithm: This is a modified form of Brute Force in which we backtrack to the previous decision to obtain the desired goal.
Randomized algorithm: As the name suggests, in this algorithm, we make random choices or select randomly generated numbers.
Dynamic programming algorithm: This is an advanced algorithm in which we remember the choices we made in the past and apply them in future scenarios.
Recursive algorithm: This follows a loop, in which we follow a pattern of the possible cases to obtain a solution.
90.72% of people in the world cell phone owners. Algorithms are everywhere.
Algorithmic systems, particularly modern Machine Learning (ML) approaches, pose significant risks if deployed and managed
without due care. They can amplify harmful biases that lead to discriminatory decisions or unfair outcomes that reinforce
inequalities.
They can be used to mislead consumers and distort competition. Further, the opaque and complex nature by which
they collect and process large volumes of personal data can put people’s privacy rights in jeopardy.
Now more than ever it is vital that we understand and articulate the nature and severity of these risks.
Those procuring and/or using algorithms often know little about their origins and limitations
There is a lack of visibility and transparency in algorithmic processing, which can undermine accountability.
They are already being woven into many digital products and services.
Algorithmic processing is already leading to society-wide harms making automated decisions that can potentially vary the cost of,
or even deny an individual’s access to, a product, service, opportunity or benefit.
For example, using live facial recognition at a stadium on matchday could impact rights relating to
freedom of assembly, or track an individual’s behaviour online, which may infringe their right to privacy.
At the moment there is very little transparently in providing information about how and where algorithmic processing takes place
or how they are deployed, such as the protocols and procedures that govern there use, whether they are overseen by a human
operator, and whether there are any mechanisms through which people can seek redress. The number of players involved in
algorithmic supply chains is leading to confusion over who is accountable for their proper development and use.
As the number of use cases for algorithmic processing grows, so too will the number of questions concerning the impact of
algorithmic processing on society.
Already there are many gaps in our knowledge of this technology, with myths and misconceptions commonplace.
They are the TikTok erosion of human values for profit, that will become the full individual personalization of content and
pedagogy (enabled by cutting-edge technology, using body information, facial expressions or neural signals) for commercial
platforms to rival Government’s.
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BIOENGINEERING.
In a world of mounting inequalities, the question of who benefits and misses out from bioengineering advances looms large.
Unfortunately, we don’t have space here to talk about all the effects in the future concerning Bioengineering.
Artificial organs or limbs, the genetic synthesis of new organisms, gene editing, the computerized simulation of surgery, medical imaging technology and tissue/organ regeneration.
Like any other technology, bioengineering has damaging potential, whether it be through misuse, weaponization or accidents.
This risk can create significant threats with large potential consequences to public health, privacy or to environmental safety.
Foreseeing the impacts of bioengineering technologies is urgently needed.
All these issues have implications for academics, policymakers and the general public and range from neuronal probes for human enhancement to carbon sequestration.
These issues will not unfold in isolation:
Biotechnological discoveries are increasingly facilitated by automated and roboticides, private ‘cloud labs’.
The effects on biodiversity and ecosystems have not been fully studied.
Protein engineering and machine learning, leading to the creation of novel compounds within the industry (e.g. new catalysts for un-natural reactions) and medical applications (e.g. selectively destroying damaged tissue which is key for some diseases).
These newly created proteins have the potential to be used as weapons due to their high lethality.
Healthcare is facing a tug of war between democratization and elite therapies.
Plant strains which sequester carbon more effectively, rapidly and can even aid solar photovoltaics (the production of electricity from light) and light-sustained biomanufacturing.
Due to political unrest and the spread of fake news, citizens are scared about this approach and protest against it.
These issues will shape the future of bioengineering and must shape modern discussions about its political, societal and economic impact. This is now a very complicated question with no foreseeable answer.
To answer we have to think about how we got here in the first place. Of course “The herd” might not want to think about something like this.
DEMOCRACY. ———–
Our democracy is in crisis. Many institutions of our government are dysfunctional and getting worse.
Our politics have become alarmingly acrimonious;
Technology is enriching some and leaving the vast majority behind.
Democracy, has never been without profound flaws, cannot be taken for granted. Trust in political institutions – including the electoral process itself – are at an all-time low. Societies the world over are experiencing a strong backlash to a system of government that has largely been the hallmark of developed nations for generations
We don’t know where it’s heading as politicians are now basically middlemen to Social media which is changing the way people viewed their political leaders as under constant pressure promoted by populist as a result all decomacies are now “flawed” and exposed to the vulnerability of pure democracy to the tyranny of the majority
We don’t know how serious it is. So, what’s going on?
What’s behind the erosion of a political system that’s guided the world’s most developed economies for decades?
GREED.
As a result government’s are becoming more and more soulless, in failing to talk about the things that mattered to people.
With political parties running away from talking about the issues that matter to people.
When people feel threatened, either physically – by terrorism, say – or economically, they tend to be more receptive to authoritarian populist appeals and more willing to give up certain freedoms. When people are saying they can’t stomach any more immigration, when they don’t know if they’re going to be able to retire or what kind of jobs their kids are going to get, the political elite needs to listen and adapt or things are going to unravel.
Some may argue that this is because governments no longer feel like they are “of the people, by the people, for the people.
Maybe we are going to have some shocking lessons about the durability of democracy.
Non-democratic states have many forms, like China’s meritocratic system – in which government officials are not elected by the public, but appointed and promoted according to their competence and performance – should not be dismissed outright.
A democratic system can live with corruption because corrupt leaders can be voted out of power, at least in theory. But in a meritocratic system, corruption is an existential threat. Elections are a safety valve that isn’t available in China so the government is not subject to the electoral cycle and can focus on its policies while the West has tried to export democracy not only at the point of a gun, but also by imposing legislation. The whole idea is wrong in principle because democracy is not ours to dispense.
The US and Western Europe have we hope abandoned most of their ambitions for regime change around the world.
So looking inwards may be no bad thing. If the West wants to promote democracy then they should do it by example.
How do we reconcile that with democracy millions of citizens?
Hence, the knowledge revolution should bring a shift to direct democracy, but those who benefit from the current structure are fighting this transition. This is the source of much angst around the world, including the current wave of popular protests.
Smaller political entities should find the evolution toward direct democracy easier to achieve than big, sprawling governments.
Today’s great powers have little choice but to spend their way to political stability, which is unsustainable, and/or try to control knowledge, which is difficult.
Each individual’s share of sovereignty, and therefore their freedom, diminishes as the social contract includes more people.
So, other things being equal, smaller countries would be freer and more democratic than larger ones.
I’m not sure we can. It worked pretty well for a long time but maybe, as population grows.
FINALLY THE LANDS WE NOW INHABIT COULD DISSAPEAR IN MORE WAYS THAN ONE.
Rising seas could affect three times more people by 2050 than previously thought, some 150 million people are now living on land
that will be below the high-tide line by mid-century. Defensive measures can go only so far. We know that it’s coming.
The math is catching up to us – the amount of Co2 – the number of refugees / immigrants, the inequality gap, the numbers dying in wars~ natural disasters, the erosion of democracy, trust.
We need to know in plain English and without hype or hysteria of technologies ,social media, or selective algorithms news, only then will we begin to understand what’s coming and how to begin preparing yourself.
impossible to know everything about a quantum system such as an atom.
President Vladimir Putin cast the confrontation with the West over the Ukraine war as an existential battle for the survival of Russia and the Russian people – and said he was forced to take into account NATO’s nuclear capabilities.
Putin is increasingly presenting the war as a make-or-break moment in Russian history – and saying that he believes the very future of Russia and its people is in peril. “In today’s conditions, when all the leading NATO countries have declared their main goal as inflicting a strategic defeat on us, so that our people suffer as they say, how can we ignore their nuclear capabilities in these conditions?” Putin said.
completely unaware of the relentless pressure that’s building right now.
wasn’t always the United States. Nothing requires it to remain so. At some point, it will develop into something else.
THE COST OF THINGS.
Globalization vs. Regionalization, US-centric vs China-centric.
Modern Western economies have become knowledge based.
Technology and political trends are aligning against mega-powers like the US and China.
The West is beset with widening wealth gaps, shrinking middle classes and fractured societies.
There is only one country that has got it right Norway.
This small Scandinavian country of 5 million people does things differently.
It has the lowest income inequality in the world, helped by a mix of policies that support education and innovation. It also channels the world’s largest sovereign wealth fund, which manages its oil and gas revenues, into long-term economic planning.
Norway does not have a statutory minimum wage, but 70% of its workers are covered by collective agreements which specify wage floors. Furthermore, 54% of paid workers are members of unions. The government has prioritised education as a means to diversify its economy and foster higher and more inclusive growth.
The Norwegian state heavily subsidies childcare, capping fees and using means-testing so that places are affordable, although some parents report difficulty in finding an available place. Norway has provided for 49 weeks of parental leave at full pay (or 59 weeks at 80% of earnings). Additionally, mothers and fathers must take at least 14 weeks off each after the birth of a child.
Currently some 98% of its energy comes from renewable sources, mainly hydropower.
While Norway is more fortunate than most, it does offer some valuable lessons to policy-makers from other parts of the world.
TOMORROW’S GODS.
Religions never do really die.
We take it for granted that religions are born, grow and die – but we are also oddly blind to that reality.
When we recognise a faith, we treat its teachings and traditions as timeless and sacrosanct. And when a religion dies, it becomes a myth, and its claim to sacred truth expires. If you believe your faith has arrived at ultimate truth, you might reject the idea that it will change at all. But if history is any guide, no matter how deeply held our beliefs may be today, they are likely in time to be transformed or transferred as they pass to our descendants – or simply to fade away.
As our civilisation and its technologies become increasingly complex, could entirely new forms of worship emerge?
We might expect the form that religion takes to follow the function it plays in a particular society – that different societies will invent the particular gods they need.
The future of religion is that it has no future.
Perhaps with the march of science it is leading to the “disenchantment” of society so supernatural answers to the big questions will be no longer felt to be needed. We also need to be careful when interpreting what people mean by “no religion”. “Nones” may be disinterested in organised religion, but that doesn’t mean they are militantly atheist. Accordingly, there are very many ways of being an unbeliever. The acid test, as true for neopagans as for transhumanists, is whether people make significant changes to their lives consistent with their stated faith.
People have started constructing faiths of their own. Consider the “Witnesses of Climatology”, a fledgling “religion” invented to foster greater commitment to action on climate change.
In fact, recognition is a complex issue worldwide, particularly since there is no widely accepted definition of religion even in academic circles.
A supercomputer is turned on and asked: is there a God? Now there is, comes the reply.
All human comments appreciated. All like clicks and abuse chucked in the bin. Please keep comments respectful. Use plain English for our global readership and avoid using phrasing that could be misinterpreted as offensive.
It seems to be easier for us today to imagine the thoroughgoing deterioration of the earth and of nature than the breakdown of late capitalism; perhaps that is due to some weakness in our imaginations.” — Frederic Jameson, The Seeds of Time
The stakes facing our generation are much more than they first seem, because our actions might have the potential to bring about a far better world, or cut it short.
The shifting meaning of “capitalism,” and how societies hide their downside with culture.
We’re unclear on what “capitalism” is supposed to be.
From the proletarians, nothing is to be feared.
Left to themselves, they will continue from generation to generation and from century to century, working, breeding, and dying, not only without any impulse to rebel but without the power of grasping that the world could be other than it is.” — George Orwell, Nineteen Eighty-Four
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Rather than us asking questions of this world, this world asks questions of us.
We need to listen to the world in new ways and hear the fundamental questions that it askes us.
WITH CLIMATE CHANGE – WARS – AI – INEQULITY. – UNITED NATIONS
ALL AT THIS VERY M0MENT ARE ASKING: DO WE WISH TO CONTINUE TO EXIST?
Might it be, then, that we have trouble imagining the end of capitalism because we think capitalism is great, and we’d fear that any alternative would be worse?
It is not we who are permitted to ask about the meaning of life — it is life that asks the questions, directs questions at us… our whole act of being is nothing more than responding to — of being responsible toward — life.
Have we been indoctrinated so that we subscribe to an ideology or a myth of capitalism?
All are questing, just what are our values.
We have an easier time imagining an apocalyptic death of the planet than capitalism being surpassed by a superior economic system, promoting equality.
Do we trust in capitalism on what are effectively theological grounds, so that the specious neoliberal arguments in capitalism’s favour are so many superfluous rationalizations?
Will AI Have a Soul? And does it even matter? Everybody uses the internet, but nobody trusts it.
The recent state of the world certainly hasn’t helped.
Even if capitalism is justifiable, it doesn’t follow that those who benefit from that system should be unable even to imagine a better kind of economy.
Neoliberals will say that we can imagine an alternative to capitalism, after all, namely the communist one that failed in the Soviet Union. But that, too, is a red herring since the question is whether we can imagine improvements to capitalism, not worse economies.
Likely, you find your smartphone handy, but that doesn’t mean you can’t imagine improvements to it. You’d prefer to keep your phone, of course, and you may even be addicted to social media. But science fiction is replete with re-imagined technologies. For instance, we could miniaturize smartphones and hardwire them into the brain.
Science doesn’t demonstrate that the quantityof life matters more than its quality, nor can science show which qualities of life should matter more than others.
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How do I get people to do what I want them to do?
Unfortunately there are collective forms of self-deception.
Individuals, of course, can prevent themselves from reckoning with unwanted truths, in that they can underestimate obstacles, confabulate, procrastinate, and so on, unable to realize the meaning of the present moment.
“You can get everything in life that you want if you’ll just help enough other people get what they want.”
Give and you will receive.
Maybe there are social mechanisms that operate in an analogous fashion, protecting whole populations by steering them towards the party line. The analogue of the individual ego, or of the conscious self, might be the upper class that dictates mass media narratives, such as by instilling neoliberal values via Ivy League education, as Thomas Frank explains.
Societies have worldviews called “cultures,” along with institutions that enforce their biases.
Once large, sedentary societies emerged in history, so too did mechanisms for managing mass opinion. Religion was one such device, but we can speak more neutrally about “ideologies,” as Karl Marx did, to account for how we may protect capitalism, too, with myths and collective fallacies.
If you’re looking for signs of such capitalist myths, have a look at advertising, at how thousands of misleading slogans and manipulative, hyperbolic messages stream through everyone’s consciousness on a daily basis.
In the boom-and-bust cycle in which government spending alone can stabilize.
Capitalism is in runaway mode and must be curtailed.
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The recent pandemic, natural disasters, wars, all shine a light on the inequality that exist and have existed since time immortal.
If we want a world worth living in and on, we must make profit contribute to PROTECTING all the essential values of life, not the pockets of the few.
Whether it’s turning promises on climate change into action, rebuilding trust in the financial system, or connecting the world to the internet.
OUR COLLECTIVE RESPONSIBILITY MUST BE TO REPAIRING THE DAMAGE OF CENTURIES OF GREED.
To achieve these objectives we will need to address a host of issues, with more than common sense but with trillions and trillions pumped into removing and protecting before the planet becomes uninhabitable.
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The Earth’s average land temperature has warmed nearly 1°C in the past 50 years as a result of human activity, global greenhouse gas emissions have grown by nearly 80% since 1970, and atmospheric concentrations of the major greenhouse gases are at their highest level in 800,000 years. We’re already seeing and feeling the impacts of climate change with weather events such as droughts and storms becoming more frequent and intense, and changing rainfall patterns.
By 2050, the world must feed 9 billion people. Yet the demand for food will be 60% greater than it is today. Despite huge gains in global economic output, there is evidence that our current social, political and economic systems are exacerbating inequalities, rather than reducing them. Rising income inequality is the cause of economic and social ills, ranging from low consumption to social and political unrest, and is damaging to our future well-being. More than 61 million jobs have been lost since the start of the global economic crisis in 2008, leaving more than 200 million people unemployed globally.
To function efficiently, the system needs to re-establish trust.
The internet is changing the way we live, work, produce and consume. With such extensive reach, digital technologies cannot help but disrupt many of our existing models of business and government. We are entering the age of the Fourth Industrial Revolution, a technological transformation driven by a ubiquitous and mobile internet. The challenge is to manage this seismic change in a way that promotes the long-term health and stability of the internet. Within the next decade, it is expected that more than a trillion sensors will be connected to the internet.
By 2025, 10% of people are expected to be wearing clothes connected to the internet and the first implantable mobile phone is expected to be sold.
Equality between men and women in all aspects of life, from access to health and education to political power and earning potential, is fundamental to whether and how societies thrive.
The growth of the digital economy, the rise of the service sector and the spread of international production networks have all been game-changers for international trade. Despite fundamental changes in the way business is done across borders, international regulations and agreements have not evolved at the same speed. In addition, negotiations to reach a new global trade agreement have stalled. There is a pressing need to reform the global trade framework.
Investing for the long term is vital for economic growth and social well-being, serious challenges to global health remain.
The number of people on the planet is set to rise to 9.7 billion in 2050 with 2 billion aged over 60. To cope with this huge demographic shift and build a global healthcare system that is fit for the future, the world needs to address these challenges now.
In short, the most pressing problems are those where people can have the greatest impact by working on them.
As we explained in the previous article, this means problems that are not only big, but also neglected and solvable. The more neglected and solvable, the further extra effort will go. And this means they’re not the problems that first come to mind.
First, future generations matter, but they can’t vote, they can’t buy things, and they can’t stand up for their interests. This means our system neglects them. You can see this in the global failure to come to an international agreement to tackle climate change that actually works..
We can’t so easily visualise suffering that will happen in the future. Future generations rely on our goodwill, and even that is hard to muster.
We all know where the Solutions are to be found – in how wealth is distributed.
We should go beyond the focus on reducing the global poverty rate to below 3% and strive to ensure that all countries and all people can share in the benefits of economic development. Nearly half of the world’s population currently lives in poverty. 2/3 of the population in low-income countries is under 25 years old.
The world is facing multiple converging crises — growing food insecurity, rising fuel prices, economic instability, and the climate crisis — and they are all hitting poor countries the hardest. With 349 million people across 79 countries facing acute food insecurity, this is the worst food crisis in decades. While COVID-19, climate change, and conflict have been major drivers, political action has also fallen short.
Poverty entails more than the lack of income and productive resources to ensure sustainable livelihoods. Its manifestations include hunger and malnutrition, limited access to education and other basic services, social discrimination and exclusion, as well as the lack of participation in decision-making.
And we still wonder why the world we live in is going down the tube.
It is quite obvious that there is no point in been rich without giving – the power to solve some of the most pressing global challenges is not to be found in the words of the United Nations Declaration to end poverty in all its forms everywhere is Goal 1 of the UN’s Sustainable Development Goals.
Why?
Because it has to beg for funds to implement any of its aspirations.
What is needed is a preputial Fund to create a World Aid system with clout.
HERE IS HOW THIS CAN BE ACHIVED.
We now live in a world driven by technology – Apps for this and Apps that – Smartphone – Algorithms running world stock market, plundering everything for the sake of profit.
Why not introduce a World Aid commission algorithm to collect 0.05% on all activities that produce profit for profit sake.
This funding could be delivered by non repayable grants prioritising adaptation re climate change, vetted projects to reduce poverty, food sustainability, environment protection, etc ( Unlike The International Monetary Fund (IMF) the lender of last resort.
All human comments appreciated. All like clicks and abuse chucked in the bin.
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