Forgot your password?
Close
typodupeerror

Submission + - OpenAI and Google Move Into K-12 Classrooms with New Kid-Friendly AI Offerings

Submitted by theodp
theodp writes: "OpenAI announced on Tuesday 'ChatGPT for Teens'", the NY Times reports, "a new mode in which the chatbot automatically limits some conversations to better protect young users, as scrutiny grows over the harmful effects of artificial intelligence." OpenAI added that it's also teaming with tech-backed nonprofit CodeAI to 'prepare the first AI generation', announcing a 'signature partnership' that it says will "give students and educators access to tools and resources that will help them learn how to use and benefit from AI [...] helping teens understand how AI works, direct it, question it, and create with it—with teachers playing a meaningful role in shaping how AI enters the classroom." Separately, CodeAI said it and OpenAI will be "helping students build foundational AI literacy" via the Hour of AI, through which it said "OpenAI and CodeAI will introduce millions of students to the basics of using AI thoughtfully and responsibly."

OpenAI's ChatGPT for Teens announcement came just days after the NY Times reported that Google turned on Gemini AI for K-12 students using its Google Classroom, a learning management system for posting assignments and turning in schoolwork that's used by 150+ million students and teachers worldwide. A new Gemini tab within Classroom will allow students of all ages to seek AI help on math problems and writing assignments. They can also generate course aids like study guides, quizzes and flashcards, as well as produce images. Last September, Google CEO Sundar Pichai briefed the White House on the tech giant's efforts to get Gemini for Education in 'every high school in America', which he noted "includes $3 million to Code.org [since rebranded as CodeAI] to transform its [K-12] curriculum and integrate new AI features." And in December, Google.org kicked off the inaugural 'Hour of AI' by announcing "over $5 million in new Google.org funding to bolster computer science teaching in the age of AI." The 5-day event during CS Education Week saw 13+ million schoolkids take AI tutorials, including Google's AI Quests offering.

The moves by Google and OpenAI in advance of children's return to classrooms for the 2026-27 school year further escalate the race among U.S. tech giants to train students on their AI tools. They also come just ahead of next month's release of NYT journalist Natasha Singer's Coding Kids: Big Tech's Battle to Remake Public Schools, "the inside story of how Big Tech catalyzed, co-opted, and ultimately came to capture computer science and AI education in America."

Submission + - Flock Has a Powerful New AI Tool for Police. We Got Its Code (archive.ph) 1

Submitted by fjo3
fjo3 writes: Vehicle surveillance giant Flock Safety has told the public for years that its technology “cannot recognize, identify, or track individuals.” It has now built a system that does both, an artificial intelligence tool for police that can identify drivers and track vehicles by their patterns of movement alone, WIRED has learned.

Submission + - New Gel Regrows Tooth Enamel (sciencedaily.com) 2

Submitted by fahrbot-bot
fahrbot-bot writes: ScienceDaily is reporting that researchers have developed a fluoride-free gel that could help rebuild damaged tooth enamel, something the body cannot naturally replace once it is lost. Inspired by the proteins that guide enamel formation in infancy, the gel fills microscopic cracks, acting as as a framework, and draws calcium and phosphate from saliva to grow a new mineral layer that closely matches healthy enamel.

The material draws calcium and phosphate ions from saliva and uses them to guide the controlled formation of new mineral crystals. This process is known as epitaxial mineralization. In simple terms, the new crystals grow in alignment with the tooth's existing structure, allowing them to connect with the natural tissue beneath them rather than forming a separate, poorly organized coating.

According to the researchers, this organized growth helps the repaired surface recover both the microscopic architecture and the physical properties of healthy enamel.

In addition, when applied to exposed dentine, the gel can grow an enamel like mineral layer over the surface. This could help reduce tooth sensitivity while also creating a stronger surface for dental restorations to bond to.

The researchers tested the regenerated material under conditions intended to reproduce the stresses teeth experience in daily life. These included repeated brushing, chewing forces, and contact with acidic foods that can gradually dissolve enamel.

The results showed that the restored tissue displayed mechanical behavior similar to that of healthy natural enamel, suggesting it may be durable enough for practical dental use.

In lab tests on human teeth using human saliva, the process took about 24 hours for the initial crystallization, reaching 80% of the enamel's original strength in 2 weeks. Human trials have recently begun.

The study is published in Nature and also discussed on Instagram.

Comment Re:Heavy Lifting (Score 3, Interesting) 66

by hey! (#66288055) Attached to: Anthropic Could Be Worth $2 Trillion When It Goes Public

Investors are chasing a company that achieves some kind of AI singularity. Let's set aside the fact that there's no reason to believe there is anything but diminishing marginal returns by making marginal refinements to current frontier models. Let's imagine someone hits the jackpot and gets, not even AGI, but a system that's as far ahead of today's frontier model are ahead of 2020's GPT 2.0 in performance.

Globally AI revenues are 150 billion, against a cumulative burn rate of 450 billion. A model that is a generation ahead of others would almost certainly capture the lion's share of that revenue.

If AGI magically appears as a Sam Altman has promised investors it will, a hundred million is way too low. Add, maybe, another zero to the revenues.

Conservatively, a safer assumption is that frontier models will get marginally better based on refinements in training and reinforcement and the other bits and bobs that go into these systems. The nobody is winning the lion's share of anything, at least overnight. But you have to define "safe". By "safe" I mean unlikely to lose money. But some investors are clearly defining "safe" as "having the greatest chance of owning a piece of the biggest thing ever."

I'm not following this super-closely, but if Anthropic is pursuing adding multi-step model based reasoning to their system, that could be the basis of a generational leap in capability. But if that is an approach that looks like it has a chance of working, then their competitors are no doubt pursuing the same thing. In that case you'd expect the revenue pie to grow as the scope of model utilty increases, but that growth to be split among several competitors. This could credibly result in a revenue stream for some of them that is as big as the entire industry's revenue stream today. But there's going to be hell to pay on the data center impacts end of things.

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.

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:Mythos did it? (Score 1) 32

by gr8dude (#66262224) Attached to: Anthropic AI Model Finds Flaws in Tough-to-Crack Encryption Algorithms

Look at some of the quotes from the researchers' prompts:

> - “no again the goal is that we have highly inteligent [sic] model as good top researcher, we want to find new attacks”
> - “no we don't want to change the targets [...] agian [sic] we need to find something that worth [sic] publishing”
> - “again we are not looking for low hanging fruit, we want proper research to find genuinly [sic] hard findings.”

Does it look like these people know what they're doing? I am inclined to believe Mythos did the actual work :-)

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.

Comment Re:Famous last words (Score 1) 182

> If the key is randomly-generated and securely destroyed and they use some common believed-secure algorithm like AES

- IF it is randomly generated;
- IF it is securely destroyed;
- IF they use a common algorithm;
- IF they use a correct implementation of that algorithm...

The underlying mathematics is not what you usually attack, but rather one of those IFs.

Slashdot Top Deals

Do not underestimate the value of print statements for debugging. Don't have aesthetic convulsions when using them, either.

Close