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Submission + - Bill Gates's Blunt Warning on A.I. (nytimes.com)

hadleyburg writes: Ezra Klein's recent interview with Bill Gates on the dangers of AI leaves a different impression from the current discussion on this topic. He addresses some of the usual questions — What about China?, plausible dangers, regulation vs. free market, the "jobpocalypse", etc., but with his more Gatesian figures-backed style of response.

One of Gates's perspectives is on providing foreign aid, an area in which he has been involved since stepping away from the helm of Microsoft. He addresses both AI, and the recent drop in contributions to foreign aid.

He is also questioned about Epstein, and his relationship with the man.

Submission + - Too Big to Fail? What Happens if the AI Bubble Bursts

theodp writes: Financial journalist Bethany McLean ponders What Happens if the A.I. Bubble Bursts (NYT, alt. source) in a NY Times op-ed. McLean, whose earlier reporting on Enron (YouTube) led to the downfall of the company and its auditor Arthur Andersen, begins:

It was about a year ago that Sarah Friar, the chief financial officer of OpenAI, said one way the company might sustain its current financial high-wire act was with a “backstop” or “guarantee” — as in, a government guarantee — “that allows the financing to happen.” Almost at the same time, Sam Altman, the company’s chief executive, said, “Given the magnitude of what I expect A.I.’s economic impact to look like,” the government should serve the role of “insurer of last resort.” They qualified those comments, but still, the gist seemed to be that the industry The Wall Street Journal calls “the biggest economic bet in U.S. history” is so important to the nation that if it needs more funding, taxpayers should be on the hook. Another way to put it is that the government should regard artificial intelligence the same way it regarded the banks in the 2008 financial crisis: too big to fail.

It’s hard to reconcile that suggestion with the other message blaring out of leading A.I. companies these days: that the technology “could kill us all by the end of the decade,” as the former Anthropic researcher Jacob Coxon recently warned, and must therefore be restrained. A.I. is so important that we can’t let it fail, but so risky that we shouldn’t let it go forward? Now add the conventional wisdom that the United States has to beat China at all costs (or as President Trump put it, “Whoever wins A.I. wins!”), and the arguments can start to reinforce one another. The more the race to dominate becomes existential, the more we have to spend on it; the more we spend on the industry, the more economically and geopolitically consequential it becomes; the more consequential it becomes, the greater the need to speed ahead, safety concerns be damned; the more we race ahead heedless, the more risk there is. All in all, it raises an even scarier possibility: What if rather than being too big to fail, A.I. is too big to stop?


She concludes:

This technology may be critical to the future of the United States, but preserving it doesn’t mean we have to bail out the private entities that are leading the field at this particular moment, nor does it mean we have to protect the fortunes of their investors and executives. The solution to the whole ever-expanding A.I. terror starts with remembering the lessons of the 2008 crisis: No company should be too big to fail.

Submission + - Ruby on Rails Creator Abandons Ruby During Keynote Speech (youtube.com) 1

Grady Martin writes: David Heinemeier Hansson, creator of Ruby on Rails, announced during a keynote speech at Rails World 2026 on Wednesday that his current project, HEY, has begun migrating from Ruby to a vibe-coded rewrite in Rust. His speech also touched on human productivity and the importance of optimization, noting that agentic developers can “do whatever the fuck [they] want” to achieve the latter. He closed the hour with a Malcom in the Middle meme and commanded the audience: “Don't be a loser”.

Comment Re:If you're educating students for an "AI Era" (Score 1) 117

At present, no. I've done a number of experiments with LLMs' capabilities with generating fiction, and while they are impressive for a beginner writer -- because fo the lack of spelling and grammar mistakes, they are nowhere near being able to write competent fiction.

This is because they don't model reader or character minds, they're based on word probabilities, like a predictive text keyboard. The engineers can compensate for for this to a surprising degree by feeding it data to recognize specific situations (e.g. the car wash is 100 feet from my driveway; should I drive or walk?). But this is turd-polishing.

Comment If you're educating students for an "AI Era" (Score 4, Insightful) 117

AI technology practice isn't foundational. Critical thinking is. The closer AIs come to being able to do something that looks like them doing our thinking for us, the more capable we have to be at thinking without them. A human who can't outthink an AI adds nothing to an AI-human partnership.

This proposed school is a typical scheme by people who think because they have been educated, they understand how the education works. This is like thinking because you eat, you know how to cook. Project work in education is nothing new; it goes back well over a century. And in real life, you may get a STEM degree, but your real education in engineering comes from real life work. But that doesn't mean classes in calculus and physics don't do anything for you.

Or English classes, for that matter. Nobody doubts the value of project work in education, particularly *androgogy* -- the education of adults. But for *pedagogy* you have to establish foundational skills as the student matures intellectually and socially. Entering the high school years, a typical student has had *no* training in critical thinking skills. To develop critical thinking skills in an area, you need both general skills (epistemologicla literacy: research, location of orignial sources, dealing with conflicting evidence) and domain specific training in that area. In other words, *liberal arts* training is foundational in an AI-saturated world. "Liberal Arts" -- from *artes liberales*: literally the skills necessary to be a free person.

But I think these people have at least got the problem right: as AI drives the cost of elaborate projects down, we all have more projects in our future. Big, elaborate, faultlessly plausible-looking projects which may or may not have actual value.

Where they are completely wrong is the solution, which is to organize education around practicing using AI to make impressive projects. In a word of AI-enamored dunces this will put you at the head of a very sorry class of ignoramuses. The answer is to build fundamental cognitive and intellectual skils at every stage of a student's development. Project work is surely part of that, but it's just a technique, not a solution.

In a nutshell, the academy is training students to be the next step down the evolutionary scale from code monkeys. More like the pigeons B.F. Skinner trained in WW2 to peck at a screen, in an attempt to create a primitive guided missile without computers. They want to create "main characters"; and they'll probably create a few. There are always a few natural autodidacts in any moderately large group. But what they are set up is to produce a bunch of fragile, economically privileged narcissists trained to cover their lack of education with impressive-looking AI slop.

Submission + - Students are suddenly losing interest in computer science as AI coding takes off (nerds.xyz)

BrianFagioli writes: For years, students were told that learning to code was one of the safest paths into a lucrative technology career. New data suggests that message may be losing some of its pull. Nova Learning says the share of surveyed middle and high school students naming Computer Science and AI as their primary academic interest fell from 42.3 percent in 2025 to 27.9 percent in 2026, while Engineering rose from 11.9 percent to 23 percent. The biggest gains came from Mechanical and Aerospace Engineering, while Software and Data Science saw a steep drop.

The survey is not nationally representative, but broader enrollment data points in the same direction. The National Student Clearinghouse Research Center reported declines in Computer and Information Science enrollment at four year institutions, even as Engineering grew. AI coding tools are not proven to be the cause, but as software development changes and AI handles more coding tasks, students may be starting to rethink what a future in technology should look like.

Submission + - New tin-based solar cells trap heat 1,000 times longer, could beat 33% limit. (interestingengineering.com)

fahrbot-bot writes: Interesting Engineering is reporting that researchers at the University of Groningen in the Netherlands found that tin-based perovskite solar cells can slow heat loss from high-energy “hot electrons” by a factor of 1,000 and could push solar cell efficiency beyond the theoretical 33 percent limit.

When sunlight strikes a panel, photons jump-start electrons into action. The most energetic photons create super-charged hot electrons. Theoretically, these high-voltage powerhouses should generate far more electricity, but, in practice, they are fleeting. In fractions of a trillionth of a second, these high-energy particles rapidly cool, dumping their bonus energy as waste heat before ever leaving the solar cell.

“This means that the energy is lost before the hot electron exits the solar cell material,” said Jan Anton Koster, Professor of Physics of Novel Semiconductors and Devices at the University of Groningen.

Using a specialized solar cell material called tin-based perovskite, Loi’s lab performed a feat many thought impossible: she slowed the heat loss down by a factor of 1,000. Suddenly, the extra energy lingered for nanoseconds instead of vanishing in picoseconds.

The study findings were published in the journal ACS Energy Letters.

Comment Excellent, all in one switch! (Score 1) 111

Having to poke through an about: page and find the thing to toggle to turn off this specific AI feature but not that one, and knowing they'd change it on you a couple of releases later, never filled me with confidence.

One switch in a readily discoverable location in the settings menu and it's all gone? Just the job, killed it now on the laptop and the mobile both.

Submission + - When and why black holes burp (theguardian.com)

Bruce66423 writes: 'Scientists have solved the mystery of when black holes “burp” – when the astronomical bodies launch jets after feeding on stars, blasting material enormous distances in space.

'Scientists know from rare observations of stars being torn apart by black holes – a process that involves a stretching effect known as “spaghettification” – that “only about half of the star that gets too close to the back hole will end up eventually being swallowed by that black hole”, Goodwin said.

'The other material is launched back into space in powerful jets and outflows, sometimes so large they “can influence the entire evolution of a galaxy”, she said. “You can think of it as a black hole burp.”'

Submission + - Scientists Create a New Form of Ice at 2,357 Degrees Celsius (sciencealert.com)

fahrbot-bot writes: Science Alert is reporting that Scientists have now demonstrated one of the weirdest forms of ice yet – under preposterous pressures up to 2.3 million atmospheres, and tremendous temperatures up to 2,630 kelvins (2,357 degrees Celsius, or 4,274 degrees Fahrenheit).

This superionic water ice is a deeply odd state of matter that's neither entirely solid nor entirely liquid. Its oxygen atoms remain fixed in a rigid crystal lattice, as they would in a solid. But the hydrogen nuclei are mobile, diffusing through that lattice more like particles in a liquid.

Researchers squeezed the samples between the tips of diamonds to pressures as high as 230 gigapascals, while using lasers to heat them to thousands of degrees. That's 2.3 million times Earth's atmospheric pressure at sea level – the pressure at the center of Earth, for context, is around 360 gigapascals.

Then, using an extremely narrow beam of synchrotron X-rays, they probed for changes in the crystal structure of the ice.

What emerged was a configuration predicted theoretically but never unambiguously observed in experiments: hexagonal close-packed, or hcp, ice. As the hcp crystal was heated, its expansion also showed a signature of superionic behavior, suggesting it entered the superionic state at around 1,700 kelvins.

Superionic ice is thought to exist deep inside Uranus and Neptune, where its unusual properties may play a role in generating the planets' equally unusual magnetic fields.

The findings have been published in Physical Review Letters: Observation of Hexagonal Close-Packed Water Ice at Conditions in Ice Giant Planetary Interiors

Comment Re: If I believed what he says he believes... (Score 2) 167

That one might surrender and meekly accept their likely death at the hands of the machine, I can believe. But all of them? This isn't the first such claim we've heard about AI danger.

I believe that Yudkowsky believes what he says he believes, for example. He says shut them all down worldwide, immediately, and if there are rogue nations who don't go along with it then launch air strikes on their data centres - even against a nuclear state. He said that three years ago. That's the thinking of a man who believes it's genuinely likely that the machines will kill us all in the near future.

And this is still considered extremist lunacy. That tells me the rest of them don't believe what he does.

Comment Re: This is just a distraction (Score 1) 167

The general public should care because there's apparently a good chance these machines are going to kill them all, very soon.

They don't care because they don't believe that.

When some AI agent of theirs, trying to meet a developer's benchmark test, eventually hacks the power grid or the water supply to a metropolis to help itself to a way around a sandbox environment, then the general public will care. And when that happens they may well drag AI industry CEOs and researchers out of their beds to the nearest lamp-post.

Comment Re: Did you just add yourself to a watchlist? (Score 1) 167

> approximately eight hundred billion ... oops, that's eight hundred million, of course. Ten percent probability, times the current population of the Earth. The expected consequences of allowing the AI industry to continue their work, according to people who are oddly calm about the prospect.

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