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Comment Re:Where's my cut!? (Score 2) 56

Yes but also no.

The regulation isn't about "taking a cut", but primarily about financial crimes like money laundering and insider trading. Generally there are age requirements, as minors can't buy stocks or enter into futures contracts, though custodial accounts where the minor is authorized to use it are allowed. Every transaction is also associated with registered brokerage companies, every transaction tied to a taxpayer ID and account information. To participate the government requires documentation with a full legal name and government issued ID, and assorted other information to verify the person's identity.

In regulated markets every step has a paper trail can be tied back to a responsible human, the person who could potentially be jailed or fined for financial crimes.

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

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.

Comment Re:So it's purely symbolic? (Score 1) 89

Russia has assassinated former Russian citizens outside of Russia before, it would be unsurprising if they did it again.

I suppose they could do that, but I don't know what it would accomplish. Telegram is already written and functional; murdering Durov wouldn't uninstall it anywhere. I suppose it might intimidate the next guy who is considering writing a secure messaging app, but I don't think Russia is playing that kind of decades-long game anymore. Their main goal now is short-term: figure out how survive the Ukraine debacle without getting strung up by their own citizenry.

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

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)

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

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)

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.

Comment Re: Insane (Score 2) 222

There needs to be accountablity, but there almost never is.

The police and prosecution tend to get consequences casually dismissed, "you win some, you lose some", or "mistakes are human, live and learn." Sometimes lawyers have a professional repremand, very rarely fines, but not time behind bars.

If the man is lucky, he might get compensation for the time locked up, and maybe some of the legal costs. Most likely it will be only a small portion, if at all.

If there is any compensation it won't restore his job, his relationships with friends and family, it won't compensate for the negative experiences in the legal system nor behind bars, it won't compensate for the lost opportunities and missed experience in the time he was detained, and it probably won't be enough for the lifetime of therapy he'll need, and that his family may need.

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