In time for the FIFA World Cup 2026, step behind the scenes to see how Atlas mastered the difficult Ghost Rabona kick.
Category: robotics/AI – Page 9
World-first spintronic p-bit on silicon chip points toward larger AI-ready p-computers
A Japan–U.S. collaborative research team has demonstrated the world’s first integrated spintronic probabilistic bit, or p-bit, fabricated on a silicon chip using semiconductor manufacturing processes. The team, consisting of researchers from Tohoku University and the National Institute of Standards and Technology, experimentally verified the operation of the p-bit, a key building block for probabilistic, or p-, computers. The achievement provides a pathway toward large-scale spintronic p-computers for applications such as AI and machine learning.
Many emerging computational problems require efficient exploration of enormous numbers of possible states. Conventional computers, which process binary information, 0 or 1, sequentially, are not always well suited to such highly parallel tasks. Probabilistic computers instead use probabilistic bits, or p-bits, which fluctuate stochastically between 0 and 1 by using intrinsic physical randomness.
Because p-computers can quickly take many states, they are attracting attention as a next-generation computing platform. Among several candidate technologies, spintronics is considered especially promising because nanoscale magnetic devices can naturally generate probabilistic behavior through magnetic fluctuations.
Malicious JetBrains Marketplace plugins steal AI API keys from developers
At least 15 malicious plugins found on the JetBrains Marketplace were designed to steal AI API keys from developers.
The campaign, discovered by Aikido Security, includes plugins that act as AI coding assistants, code-review tools, and Git utilities powered by popular AI services such as OpenAI, DeepSeek, and SiliconFlow.
“We detected a coordinated malware campaign on the JetBrains Marketplace,” warns Aikido.
The First Brain Upload Just Made Simulation Theory Real
The first real brain upload just happened — and it might be the strongest evidence yet that simulation theory isn’t just philosophy anymore. A startup called Eon Systems copied a complete biological brain (139,255 neurons, 54 million synapses) into a physics simulation, and the digital fly started walking, grooming, and feeding on its own. No training. No AI. Just the copied wiring on a laptop.
We break down how they did it, why a billion euros in previous brain simulation projects failed, what Nick Bostrom’s simulation argument actually says, and why a fruit fly on a laptop just moved the needle on whether our own reality could be simulated. We also look hard at the limitations — this work is not yet peer reviewed — and what it would actually take to scale this to a human brain.
Eon Systems announcement: https://theinnermostloop.substack.com… model paper: Shiu et al. (2024) Nature 634 — https://www.nature.com/articles/s4158… FlyWire connectome paper: Dorkenwald et al. (2024) Nature 634 — https://www.nature.com/articles/s4158… #simulationtheory #brainupload #consciousness.
Brain model paper: Shiu et al. (2024) Nature 634 — https://www.nature.com/articles/s4158…
FlyWire connectome paper: Dorkenwald et al. (2024) Nature 634 — https://www.nature.com/articles/s4158…
#simulationtheory #brainupload #consciousness
Scientists Just Found A Quantum Computer Hiding Inside You
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For 100 years the rule was absolute: to see quantum behavior, you freeze your machine to near absolute zero. In August 2025, a team at the University of Chicago broke it inside a living cell.
They turned enhanced yellow fluorescent protein from the same family that makes jellyfish glow into a working qubit, and detected the signal inside living mammalian cells and bacteria. Published in *Nature*, named a top-ten breakthrough of the year.
What you’ll learn:
✅ How a glowing protein became a real qubit.
✅ Why nature solved this before our best labs did.
✅ What genetically encoded quantum sensors mean by 2030.
There’s quantum machinery glowing inside you right now — and it’s more elegant than anything we’ve engineered.
#QuantumPhysics #Consciousness #Science.
Merging Humans and AI: The Rise of Biological Computers
It’s no secret that tech companies are racing to build “artificial general intelligence,” or AI that can match a human brain without needing a lifeline. But our brains already do the same heavy lifting with just a fraction of the resources. Whether it’s energy, water, land, components, or, you know… money… human brains are just way cheaper. Right now, you can either buy a human brain cell-based computer… or rent time on a remote one. Yep, even brainpower’s got a subscription plan these days. So what can these living computers actually do? How do they work? And, most importantly, should we be freaking out a little bit?
Watch how deep sea water is now drinkable • how deep sea water is now drinkable.
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/ undecidedtech Website https://undecided.tech Some music provided by Epidemic Sound https://undecided.link/epidemic I may earn a small commission for my endorsement or recommendation to products or services linked above, but I wouldn’t put them here if I didn’t like them. Your purchase helps support the channel and the videos I produce. Thank you. Chapters 00:00 — Intro 01:54 — Why? 05:29 — How? 09:17 — What? 15:59 — The Bigger Questions 17:28 — When?
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Stanford Economist: The AI Risk Almost Nobody Is Talking About | Erik Brynjolfsson
Stanford economist Erik Brynjolfsson explains why the greatest danger of artificial intelligence may not be mass unemployment itself, but the concentration of wealth, power, and decision-making in the hands of a small group of companies or individuals.
In this conversation, he discusses the “Turing Trap,” the disappearance and creation of jobs, universal basic income, the future of economic growth, and why businesses should use AI to amplify human abilities rather than simply replace workers. He also explains why AI could become more transformative than the Industrial Revolution, why its impact is still largely invisible in productivity statistics, and which human skills may become increasingly valuable.
00:00 – Introduction.
01:05 – Why companies focus on eliminating jobs.
03:41 – The Turing Trap.
06:51 – Which tasks and jobs should AI replace?
08:35 – Millions of jobs will disappear.
09:25 – Why stopping technological change will fail.
10:48 – Entrepreneurship, security and the jobs of the future.
12:41 – AI, universal basic income and concentrated power.
15:29 – Why AI should complement humans.
17:41 – An economy that no longer needs human consumers.
20:05 – Is the younger generation doomed?
22:38 – How AI could help less-experienced workers.
25:10 – The most valuable human skill in the AI era.
27:24 – Access to AI and the falling price of intelligence.
32:31 – Is the AI investment boom a bubble?
33:44 – Bigger than the Industrial Revolution.
34:36 – Why AI is not yet visible in productivity statistics.
39:29 – Could AI produce explosive economic growth?
41:51 – How Erik Brynjolfsson uses AI in his own work.
45:34 – Will AI replace economists and scientists?
49:53 – Is AI destroying the traditional learning process?
54:46 – Shared prosperity or unprecedented inequality?
56:27 – Could AI replace the free market?
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