Auteur/autrice : noflux (Page 2 of 633)

Taylor Swift dépose sa voix et son image comme marques pour contrer les clones IA

L’image déposée par Taylor Swift.

“Ces dépôts viennent combler un angle mort juridique lié à l’émergence de l’intelligence artificielle générative. Comme l’explique Gerbenlaw, jusqu’à présent les artistes pouvaient s’appuyer sur le droit d’auteur et le droit à l’image et à la voix (en particulier aux États-Unis) pour protéger leurs créations et leur image.
Mais voilà : l’IA permet de générer des contenus « inédits » sans copier un enregistrement existant, « à la manière de ». Difficile d’invoquer le droit d’auteur… Cette zone grise alimente toute une industrie de l’escroquerie, où les deepfakes de vedettes vendent tout et n’importe quoi sur les réseaux sociaux. On a ainsi vu Tom Hanks (le vrai !) prévenir ses fans que contrairement à ce qu’un clone IA laissait penser, il ne faisait pas la promotion d’une assurance pour des soins dentaires.”

Source : Taylor Swift dépose sa voix et son image comme marques pour contrer les clones IA – Next

How AI is powering the next generation of robotaxis

“The combination of Waymo’s early start and Google backing has propelled it to the forefront of the robotaxi industry, driving more than 200mn miles fully autonomously with passengers. However, it is now facing competition from new entrants in not only Silicon Valley but the UK, China and beyond. Many are betting that starting with a clean slate in the new era of AI will allow them to scale more quickly and cheaply than Waymo. Tesla and Wayve believe this AI-first approach can be taken much further, and operators differ on what technology they believe is required for a safe and viable vehicle. While Waymo uses an expensive array of custom hardware, its rivals’ systems use fewer cameras and radar sensors — and with some even potentially doing away with lidar altogether, claiming it is not necessary — to make a much cheaper self-driving car. ”

Source : How AI is powering the next generation of robotaxis

China blocks Meta’s $2bn purchase of AI group Manus

“China has ordered Meta to unwind its $2bn acquisition of artificial intelligence app Manus, as Washington and Beijing vie for dominance over the emerging technology.
The decision marks an extraordinary late-stage intervention by Beijing, involving two non-Chinese companies. Meta had already begun to integrate software from Manus, which was founded in China but relocated to Singapore last year.
It was unclear how the acquisition could be unwound at such a late stage. A person briefed on Beijing’s decision said the announcement could be intended primarily as a warning for similar deals in the future.”

Source : China blocks Meta’s $2bn purchase of AI group Manus

Google staff urge chief executive to block US military AI use

“DeepMind’s chief scientist Jeff Dean has been the most vocal executive on the issue so far. In February, he posted on X that “Mass surveillance violates the Fourth Amendment and has a chilling effect on freedom of expression.” He added that he still backed a 2018 commitment to ban lethal autonomous weapons.
Google has faced previous protests against its military ties. In 2018, several staff quit and thousands signed a petition against Project Maven, which used AI to improve drone strikes. Google did not renew the contract and pledged not to work on AI for weapons or surveillance.
However, last year it quietly dropped that stance in an update of its AI Principles, deleting language that promised not to pursue “weapons or other technologies whose principal purpose or implementation is to cause or directly facilitate injury to people”.
Co-founder Demis Hassabis explained the decision by saying that the world has changed since Google acquired DeepMind in 2014. Multiple frontier models are now widely available and US tech companies have a duty to help the country defend itself.”

Source : Google staff urge chief executive to block US military AI use

AI helps chemists design molecules step by step – EPFL AI Center

“Synthegy addresses reaction mechanisms in a similar way: It breaks reactions into elementary electron movements and explores multiple possibilities. The LLM assesses each step, guiding the search toward chemically plausible mechanisms. Additional information, such as reaction conditions or expert hypotheses, can also be incorporated as text.
In synthesis planning, Synthgey successfully identified routes that match complex strategic requests. In a double-blind expert study, 36 chemists provided 368 valid evaluations, and their judgments aligned with the system’s assessments 71.2% of the time on average. The framework can detect unnecessary protecting steps, assess reaction feasibility, and prioritize efficient pathways.
Synthegy shows that LLMs can analyze chemistry across multiple levels. They can interpret functional groups, assess individual reactions, and evaluate complete synthetic pathways. Larger and more advanced models demonstrate the strongest performance, while smaller models show limited capability.”

Source : AI helps chemists design molecules step by step – EPFL AI Center

“Sony AI’s latest research, published on the cover of Nature, addresses a long-standing challenge in physical AI: Can a high-speed autonomous system master the complex perception and dynamic control required to compete against professional athletes?”

Source : Ace Research Project | Sony AI

I time travelled to Ancient Rome. 44 BC. Julius Caesar is literally alive. And I spent a full day just — living here. I used a Roman toilet (with strangers. Simultaneously.), ate fermented fish sauce and went back for more, got scraped with a metal tool at the public baths, watched a gladiator nearly die and voted on whether he did, had a four course dinner at a senator’s house, and ended up on a boat on the Tiber watching the most incredible city in the ancient world go by at golden hour. This is not a history lesson. This is just — what it actually felt like to be here. And it was a lot. Come with me 🏛️

Source : Chloe VS History (Jonathan Laram) – I time travelled to Ancient Rome! (Vlog)

“The creator of Chloe Vs History is also the creator behind Majestic Studios – a Youtube history channel that hit 14 million views in 90 days by using AI to bring historical scenes to life. In this first Think Art Loud Episode I speak with Jonathan Laramie. We get into why it works when so much AI content gets written off as slop, the role of trust in historical sources, and what it actually takes to build something like this with no background in filmmaking. A conversation about creativity, competition, and what everyone else is getting wrong about AI and storytelling.”

Source : Sam Hamper – The Maker of ‘Chloe vs History’ — How AI Brings The Past Alive (Majestic Studios).

ARC-AGI-3

What is ARC-AGI-3?

ARC-AGI-3 is an interactive reasoning benchmark which challenges AI agents to explore novel environments, acquire goals on the fly, build adaptable world models, and learn continuously.

A 100% score means AI agents can beat every game as efficiently as humans.

Instead of solving static puzzles, agents must learn from experience inside each environment—perceiving what matters, selecting actions, and adapting their strategy without relying on natural-language instructions.

Source : ARC-AGI-3

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