An experiment with a toy universe made up of extremely cold atoms shows how time can emerge from quantum interactions, instead of existing by default
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Ray Kurzweil Predicts AI Will Change Humanity Completely by 2030
Two of my favorite people. Definitely worth a view if you are interested in either.
Few thinkers have shaped our understanding of the future as profoundly as Ray Kurzweil. An American inventor, computer scientist, futurist, entrepreneur, and bestselling author, Kurzweil is widely regarded as one of the most influential technological forecasters of our time. For decades, he has accurately predicted many of the innovations that now define modern life, from mobile computing and artificial intelligence to digital assistants and large language models often years before they entered the mainstream.
In this special conversation, Tony Robbins sits down with Ray Kurzweil in San Francisco to explore one of the most important questions facing humanity: What happens next?
Together, they examine the accelerating pace of artificial intelligence, the path toward Artificial General Intelligence (AGI), the rise of autonomous agents, the future of work and education, breakthroughs in healthcare and longevity, and how these technologies may transform society over the coming decade.
Kurzweil explains why his long-standing prediction of AGI by 2029 now appears increasingly conservative, why the next few years may bring more change than any period in human history, and how humanity may ultimately merge with the very technologies it creates.
When less is more: Scaling law explains why ultrathin materials get stronger as they get thinner
One of the most fascinating aspects of physics is that nature often behaves in ways that seem completely counterintuitive. A good example comes from ultrathin materials. If I take a sheet of material and make it thinner and thinner, most people would expect it to become weaker. After all, there is less material left to bear a load.
Yet over the last decade, experiments and simulations have repeatedly shown something surprising: when certain materials become extremely thin—only a few nanometers or even a few atomic layers thick—they can become dramatically more resistant under extreme mechanical loading.
This phenomenon has been observed in systems as different as graphene, graphene oxide, and ultrathin polymer films. The effect was clear, but the reason behind it remained unclear. Why should materials with completely different chemistry and structure all exhibit a similar trend?
Reservoir computing (or training recurrent neural networks)
Gives some intuition concerning how initially random recurrent neural networks can be trained to produce complex behaviors mimicking input/output relationships of recurrent neural networks in the brain. The important thing here is that these networks can produce complex temporal dynamics (even in the absence of input) unlike the static feedforward neural networks we discussed before.
Takuya Isomura introduces his research at RIKEN CBS Brain Intelligence Theory Unit
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Why Technological Civilizations Might Be Insanely Rare
Sponsored by Perplexity! This is truly a game-changer – Perplexity Computer built this insane tool in only one prompt! Check out my tool and build your own today: https://pplx.ai/cool-worlds-youtube-1
Today’s video explores the most terrifying calculation I’ve ever done, one that comes with some deeply unsettling implications for the Universe in which we live…
Written & presented by David Kipping, edited by Jorge Casas.
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REFERENCES
Canada’s National Artificial Intelligence Strategy: AI for All
Message from the minister The Government’s vision: AI for All Key pillars of the strategy Priority sectors Pillar 1: Protecting Canadians and safeguarding democracy Pillar 2: Ensuring AI empowers Canadians Pillar 3: Powering AI adoption for shared prosperity Pillar 4: Building the Canadian sovereign AI foundation Pillar 5: Scaling Canadian champions Pillar 6: Building trusted partnerships and global alliances Conclusion
An innovative Canada is a stronger Canada. And AI is the major driver of innovation in Canada and around the world. But to understand the potential of Canadian AI, you have to see how it is already working to improve the lives of people. How a Canadian pediatric cardiologist in Halifax named Dr. Robert Chen is using the AI application he built to diagnose heart murmurs in newborns. His technology could cut down wait times by many months for anxious parents to see a specialist, saving our health care system tens of millions of dollars.
You have to see how a Canadian AI company called Croptimistic is helping farmers precisely map their soil. This technology allows them to use less fertilizer, while increasing crop yield, making our food system more resilient and more affordable.
