Quantum computing has long been viewed as one of the most promising technologies of the future, and 2026 is bringing new signs of progress. Major technology companies and research institutions continue to invest billions into developing more stable and scalable quantum systems capable of solving problems beyond the reach of traditional computers. Recent advances have focused on improving error correction, increasing qubit reliability, and developing practical applications in fields such as drug discovery, materials science, logistics, and financial modelling. While widespread commercial adoption remains years away, experts believe the pace of innovation is accelerating as competition intensifies across the industry.
OpenAI introduces Deployment Simulation, a method to predict AI model behavior before deployment using real conversation data to improve safety and evaluation accuracy.
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.
Defying the laws of thermodynamics, experiments are beginning to show that a quantum state that is frozen forever might not be impossible. If we can tame it, it could unlock whole new types of matter
What did the James Webb Space Telescope just discover that challenges modern physics? In this fascinating breakdown, Brian Greene explores a cosmic finding that appears to defy our current understanding of the universe. From early galaxy formation to mysterious structures that shouldn’t exist so soon after the Big Bang, this discovery could reshape cosmology. Is our standard model incomplete? Are we missing hidden physics? Join us as we unpack the science, the data, and the mind-bending implications behind one of the most shocking astronomical discoveries ever observed by the James Webb Space Telescope.
Explore the mysteries of the universe with Brian Greene Explained. From quantum physics and spacetime to black holes and the multiverse, this channel brings complex ideas into fascinating long-form science content.
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Go to https://brilliant.org/Undecided/ and get 20% off your subscription and a 30 day free trial with Brilliant.org! 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.
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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