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Submission + - China-free batteries made from salt are finally here (msn.com)

Submitted by fjo3
fjo3 writes: U.S. startups are finally delivering something researchers have been working on for decades: a battery in which rare, hard-to-get elements are replaced with the same stuff found in ordinary table salt.

This tech has the potential to help every country on earth break its dependence on China for batteries, and the critical minerals that go into them.

Like any other battery, sodium-ion cells can store and release energy. They are initially being deployed where they’re needed most, in America’s power grid and fast-expanding crop of data centers. As in our homes, giving the grid or other infrastructure the ability to stockpile energy when it is cheap and plentiful, and discharge it when it is scarce, can increase reliability and lower the cost of electricity.

Submission + - New Orleans will use AI to answer 911 calls instead of a human (shreveporttimes.com)

Submitted by fjo3
fjo3 writes: If you call 911 in New Orleans, you may hear the sound of an artificial intelligence (AI) agent answering your call instead of a human voice.

The Orleans Parish Communication District (OPCD) is changing the way dispatch calls are handled in New Orleans with the implementation of new technology.

Submission + - Artificial Intelligence used to design brand new viruses (bbc.com)

Submitted by fjo3
fjo3 writes: Artificial Intelligence has been used to design brand new viruses that are fully functional and can replicate in the laboratory, say US researchers.

It is the first time whole genomes have been successfully designed by AI.

The resulting 16 novel viruses were created to infect bacteria and pose no threat to people.

The breakthrough has been labelled a "very significant turning point" in science that could unlock a new era for treating disease. But experts have also warned AI-designed viruses raise "urgent" safety and security concerns.

Submission + - An Ancient Poop Explosion Could Have Helped Complex Life Evolve (sciencealert.com)

Submitted by alternative_right
alternative_right writes: If the earliest animals hadn't been such prolific poopers, life might not have diversified into all the weird and wonderful forms we see today.

That's the conclusion reached by a new review study published in Trends in Ecology & Evolution.

The team of scientists in Australia and Germany found that the Cambrian explosion â" a period around 540 million years ago when the ancestors of most animal groups arose â" could have been partly set in motion by an explosion of feces, left by those that came before.

Comment Ding ding ding ding! (Score 1) 160

by Waffle Iron (#66271534) Attached to: OpenAI's Astra Solved Decades-Old Math Problems For $2,000

Astra correctly answers all 10 questions in the $2000 lightning round!

And now on to the final round. To win $32,000 cash, a brand new Oldsmobile Vista Cruiser, and an all-expense paid vacation for two to Puerto Vallarta, all you have to do is answer this single question to the satisfaction of our judges:

The Riemann Hypothesis: True or False?

Submission + - A fundamental flaw leaves LLMs strikingly vulnerable to attack (technologyreview.com)

Submitted by joshuark
joshuark writes: It is impossible to make large language models fully secure against hacks because of a fundamental flaw in how they work, a team of researchers argue in a paper presented at the International Conference on Machine Learning, a top AI conference, this month. The claim has huge implications for the safety of this technology.

By taking advantage of this flaw, which concerns how LLMs identify who or what is giving them instructions, the researchers were able to make popular LLMs spit out information they had been trained not to provide, such as how to synthesize cocaine and how to sabotage a commercial aircraft’s navigation system.

“There’s a real probability that this is going to be a problem that’s fundamentally unsolvable,” says Charles Ye, an independent researcher and coauthor of the ICML paper.

Companies will typically hire teams of human testers to try to come up with novel attacks that break existing guardrails, a process known as red-teaming. Model makers also use LLM super-hackers (such as OpenAI’s GPT-Red) that find and exploit weaknesses in other models to automate parts of this process. The goal is then to take those attacks and train a new model to resist them and anything that looks like them.

The problem, says Jasmine Cui, another independent researcher and coauthor of the paper, is that the approach amounts to giving the models a list of things they shouldn’t do. But no list is exhaustive. “It’s like watching The Simpsons and they have Bart writing ‘I will not say something inappropriate to my teacher’ a hundred times,” she says. “And he still does things that are pretty crass anyway.”

The ICML paper describes attacks against several of OpenAI’s models, but Cui and Ye say that they have since seen similar results with models made by Anthropic, Alibaba, and DeepSeek.

Cui and her colleagues wanted to find out why an attack like chain-of-thought forgery was so effective. They suspected it had something to do with the mechanism that LLMs use to keep track of where their instructions are coming from.

But what Cui and her colleagues discovered is that LLMs are in fact very bad at keeping track of different roles. In a series of experiments that looked at what was going on inside a handful of different models, the researchers found that LLMs seem to identify the role of a specific chunk of text not by the tags around it but by the style of that text and the words it contains.

The upshot, the researchers claim, is that all an attacker needs to do to hack an LLM is write text that spoofs a certain role. And because roles are a fundamental part of how LLMs work, no amount of training will fully solve the problem.

Ye is worried that nobody is ready for what’s coming. “There’s going to be a huge economic incentive for people to do jailbreaks and prompt injections,” he says. The best defense could be to expect the worst. Organizations shouldn’t trust LLMs, and they should expect that anything done by agents could be unsafe, he says: “That’s not a great solution, but it just might be what we have to do.”

“It’s really incredible that these things are being deployed everywhere to control super-critical systems,” he adds. “There’s been no study of the fundamental science here. We’re all doing it ad hoc.”

Comment Re:Did they have 2 complete crews? (Score 2) 70

They already have a planned rotation. There will be two crews, rotating every four hours. This isn't unlike existing long-haul flights, except that instead of the crews rotating at the same time, they will be on two-hour offsets. One pilot will stay for the first four hours, the other for the first two hours. A replacement will swap in at two hours and stay through the sixth hour, and then the other will swap at four hours and stay through the eighth hour, and so on. Qantas said that this will apply to all flights of 20 hours or more.

Submission + - AI Companies Destroying Books At Scale (futurism.com)

Submitted by nightflameauto
nightflameauto writes: AI companies are purchasing books from pre-AI times. The claim is that those books are free from the defects of AI generated text, and therefore more valuable for ingestion into AI datasets. In order to accomplish this, they are tearing the books down to be scanned, then destroying them as the scans are completed. This includes rare and out-of-print books that may be some of the few copies of any given published work left in existence.

Submission + - Is Mark Zuckerberg Actually TRYING to Destroy Meta? (futurism.com)

Submitted by fjo3
fjo3 writes: Lately, it almost feels like Zuckerberg is trying to destroy his own company. He’s burning through mountains of cash in a desperate attempt to keep up in the AI race. Yet despite the untold billions it’s spent so far, it’s being destroyed by OpenAI and Anthropic. Its employees have even resorted to using AI models made by its competitors, a humiliating reality check for how far behind Zuckerberg’s efforts have fallen.

It’s also a financial nightmare. Capital expenditures have risen dramatically, erasing any appetite for Meta on Wall Street. Its stock price “has been dead money for more than a year,” as Yahoo Finance notes, as investors continue to debate whether Zuckerberg is chasing the AI industry as it careens off a cliff — or edging ever closer to an AI-fueled industrial revolution.

Submission + - The first active shooter suppression service

Submitted by Anonymous Coward
An anonymous reader writes: Schools to tackle active shooters with pepper-spraying drones that can ram attackers

Pepper-spraying drones aimed at tackling active school shooters are being rolled out at campuses across three states.

The drones, part of the Campus Guardian Angel program, can ram into targets at speeds of up to 70 mph and are capable of weaving through the air to avoid gunfire. Three schools in Florida, five in Georgia and one in Colorado are part of pilot schemes using the aerial technology.

Submission + - Your Brain Can Rewire Itself to Allow True Multitasking (sciencealert.com)

Submitted by alternative_right
alternative_right writes: Our daily lives are built on multitasking, but are our brains actually doing two things at once, or just switching very quickly between them?

Well, it depends. The science shows it's the latter, for cognitively demanding work.

But in a new study published in the Journal of Cognitive Neuroscience, researchers from Georgetown University Medical Center in the US have revealed that we can put certain tasks on autopilot in a way that enables something closer to true multitasking.

Driving is the perfect example: When you take your test, your entire mental and physical energy is concentrated on executing the right combinations of movements and thoughts.

After a decade behind the wheel, the brain is no longer consciously thinking everything through in great detail.

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