Lifeboat Foundation

Leading AI scientists are calling for stronger action on AI risks from world leaders, warning that progress has been insufficient since the first AI Safety Summit in Bletchley Park six months ago.

The US Department of Justice arrested a Wisconsin man last week for generating and distributing AI-generated child sexual abuse material (CSAM). As far as we know, this is the first case of its kind as the DOJ looks to establish a judicial precedent that exploitative materials are still illegal even when no children were used to create them. “Put simply, CSAM generated by AI is still CSAM,” Deputy Attorney General Lisa Monaco wrote in a press release.

The DOJ says 42-year-old software engineer Steven Anderegg of Holmen, WI, used a fork of the open-source AI image generator Stable Diffusion to make the images, which he then used to try to lure an underage boy into sexual situations. The latter will likely play a central role in the eventual trial for the four counts of “producing, distributing, and possessing obscene visual depictions of minors engaged in sexually explicit conduct and transferring obscene material to a minor under the age of 16.”

The government says Anderegg’s images showed “nude or partially clothed minors lasciviously displaying or touching their genitals or engaging in sexual intercourse with men.” The DOJ claims he used specific prompts, including negative prompts (extra guidance for the AI model, telling it what not to produce) to spur the generator into making the CSAM.

TSMC has started producing Tesla’s next-generation Dojo AI training tiles with its InFO_SoW (Integrated Fan-Out System-on-Wafer) technology, aiming for a 40x increase in computing power by 2027 with a more complex wafer-level system, according to company sources.

Watch Project Astra factorise a maths problem and even correct a graph. All shot on a prototype glasses device, in a single take in real time.

Project Astra is a prototype that explores the future of AI assistants. Building on our Gemini models, we’ve developed AI agents that can quickly process multimodal information, reason about the context you’re in, and respond to questions at a conversational pace, making interactions feel much more natural.

Continue reading “Project Astra demo | Solving math problems” »

Microsoft has released the remaining Phi-3 models!

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

As autonomous drones soar toward the frontline, bigger countries like China and the U.S. are watching.

Theory of mind —the ability to understand other people’s mental states—is what makes the social world of humans go around. It’s what helps you decide what to say in a tense situation, guess what drivers in other cars are about to do, and empathize with a character in a movie. And according to a new study, the large language models (LLM) that power ChatGPT and the like are surprisingly good at mimicking this quintessentially human trait.

“Before running the study, we were all convinced that large language models would not pass these tests, especially tests that evaluate subtle abilities to evaluate mental states,” says study coauthor Cristina Becchio, a professor of cognitive neuroscience at the University Medical Center Hamburg-Eppendorf in Germany. The results, which she calls “unexpected and surprising,” were published today —somewhat ironically, in the journal Nature Human Behavior.

The results don’t have everyone convinced that we’ve entered a new era of machines that think like we do, however. Two experts who reviewed the findings advised taking them “with a grain of salt” and cautioned about drawing conclusions on a topic that can create “hype and panic in the public.” Another outside expert warned of the dangers of anthropomorphizing software programs.

Geoffrey Hinton, one of the “godfathers” of AI, is adamant that AI will surpass human intelligence — and worries that we aren’t being safe enough about its development.

This isn’t just his opinion, though it certainly carries weight on its own. In an interview with the BBC’s Newsnight program, Hinton claimed that the idea of AI surpassing human intelligence as an inevitability is in fact the consensus of leaders in the field.

“Very few of the experts are in doubt about that,” Hinton told the BBC. “Almost everybody I know who is an expert on AI believes that they will exceed human intelligence — it’s just a question of when.”

Aaron Vick is a multi-x founder, former CEO, best-selling author, process and workflow nerd and early-stage/growth advisor focused on Web3.

The age of artificial intelligence (AI) is transforming the landscape of creativity, challenging our understanding of creator rights and digital identity. As AI becomes an integral part of the creative process, collaborating with human minds to push the boundaries of imagination and innovation, we find ourselves in a new era that demands reevaluating the essence of authorship.

This AI renaissance is not just about the tools we use to create; it is about the fundamental shift in how we perceive and value creativity. In a world where AI can generate art, music and literature that rivals the works of human creators, we must reconsider what it means to be an author, an artist or a creator. The lines between human and machine creativity are blurring, giving rise to new forms of expression and collaboration that were once unimaginable.