Elon Musk : “We are building Grokipedia @xAI. Will be a massive improvement over Wikipedia.Frankly, it is a necessary step towards the xAI goal of understanding the Universe.”
Auteur/autrice : noflux (Page 4 of 619)
“En plein « phénomène IA », The Shift Project a choisi d’éclairer le sujet avec son prisme : la vision physique. Pour ce faire, nous avons étudié une composante clé des infrastructures du numérique, la filière centre de données, et la manière dont elle se construit en interaction avec l’intelligence artificielle, principal déterminant de ses dynamiques aujourd’hui.
Le programme numérique du Shift Project (voir l’ensemble de nos travaux) mène et documente depuis plusieurs années une réflexion sur les pratiques et actions qui permettent de limiter les impacts environnementaux directs et indirects du numérique, sans empêcher l’effet net des potentiels leviers qu’il propose en matière de transition écologique.
Le numérique est un secteur non négligeable : il représentait déjà 3 à 4 % des émissions mondiales en 2020 (The Shift Project, 2021), soit du même ordre que l’intégralité des poids lourds dans le monde (IEA, 2021) et avec une augmentation de 6 %/an en moyenne de cette empreinte. À l’échelle française, il représentait 4,4 % de l’empreinte carbone du pays en 2022 (ADEME, 2025).
Ce nouveau projet trace le contour de la manière dont le déploiement généralisé de l’IA infléchit ces dynamiques déjà insoutenables. Il éclaire les pistes à suivre pour réorienter ”
Source : Intelligence artificielle, données, calculs : le rapport final du Shift – The Shift Project
“Raphaël Mahaim (Les Verts/VD) est en train de concocter une initiative parlementaire pour contraindre les auteurs de deepfakes et les plateformes de diffusion – comme TikTok ou Facebook – à identifier clairement ces contenus fallacieux. En gros, il faudrait leur apposer une mention explicite «généré par l’IA». La règle ne concernerait cependant que les deepfakes présentant un caractère trompeur ou attentatoire à la personnalité, diffusés en dehors de la sphère privée. La mention ne serait, par exemple, pas nécessaire dans le cas d’un deepfake partagé à son conjoint ou d’une photo dont on aurait seulement changé la couleur du paysage.”
Source : Deepfakes: jusqu’à 100 000 francs d’amende en Suisse à l’étude | 24 heures
“In a brief test by TechCrunch, Neon did not offer any indication that it was recording the user’s call, nor did it warn the call recipient. The app worked like any other voice-over-IP app, and the caller ID displayed the inbound phone number, as usual. (We’ll leave it to security researchers to attempt to verify the app’s other claims.)
Neon founder Alex Kiam didn’t return a request for comment.
Kiam, who is identified only as “Alex” on the company website, operates Neon from a New York apartment, a business filing shows.
A LinkedIn post indicates Kiam raised money from Upfront Ventures a few months ago for his startup, but the investor didn’t respond to an inquiry from TechCrunch as of the time of writing.”
“Select which photo is AI-generated by clicking on it or using the Left arrow and Right arrow arrow keys”
Source : Reality Check – AI Photo Detection Game (from : reddit)
“This is the biggest AI infrastructure project in history,” said NVIDIA founder and CEO Jensen Huang in the interview. “This partnership is about building an AI infrastructure that enables AI to go from the labs into the world.”
Through the partnership, OpenAI will deploy at least 10 gigawatts of NVIDIA systems for OpenAI’s next-generation AI infrastructure, including the NVIDIA Vera Rubin platform. NVIDIA also intends to invest up to $100 billion in OpenAI progressively as each gigawatt is deployed.
“Without enough computational resources, Altman explained, people would have to choose between impactful use cases, for example either researching a cancer cure or offering free education. “No one wants to make that choice,” he said. “And so increasingly, as we see this, the answer is just much more capacity so that we can serve the massive need and opportunity.””
Source : NVIDIA, OpenAI Announce ‘Biggest AI Infrastructure Deployment in History’ | NVIDIA Blog
“My instinct is this is espionage,” said Mr. Ferrante, who previously served in top cybersecurity positions at the White House and the F.B.I. In addition to jamming the cellular network, he said, such a large amount of equipment near the United Nations could be used for eavesdropping. James A. Lewis, a cybersecurity researcher at the Center for European Policy Analysis in Washington, said that only a handful of countries could pull off such an operation, including Russia, China and Israel. In addition to the Secret Service, the New York Police Department, the Justice Department, Homeland Security Investigations and the office of the director of national intelligence are investigating. “This is an ongoing investigation, but there’s absolutely no reason to believe we won’t find more of these devices in other cities,” Mr. McCool said.
Source : Cache of Devices Capable of Crashing Cell Network Is Found Near U.N. – The New York Times
« This digital repository is really important. It supports all the linguistic revitalisation efforts we’ve been working on and helps young people reconnect with the language. »
Latin America is not alone in building home-grown models and AI-powered tools.Around the world, governments are racing to create AI systems tailored to local languages and needs.The United Arab Emirates government, for example, has launched Falcon and Jais to advance Arabic AI.India is developing BharatGPT to support more than 14 regional languages, led by public universities and backed by the Department of Science & Technology, in partnership with AI firm CoRover.In South Korea, tech giant Naver Corporation has introduced HyperCLOVA for Korean, while AI Singapore, a national programme funded by Singapore’s government, is building SEA-LION to serve Southeast Asia.
Source : How Latam-GPT is building culturally relevant AI for the region | Context by TRF
“Despite the rapid adoption of LLM chatbots, little is known about how they are used. We document the growth of ChatGPT’s consumer product from its launch in November 2022 through July 2025, when it had been adopted by around 10% of the world’s adult population. Early adopters were disproportionately male but the gender gap has narrowed dramatically, and we find higher growth rates in lower-income countries. Using a privacy-preserving automated pipeline, we classify usage patterns within a representative sample of ChatGPT conversations. We find steady growth in work-related messages but even faster growth in non-work-related messages, which have grown from 53% to more than 70% of all usage. Work usage is more common for educated users in highly-paid professional occupations. We classify messages by conversation topic and find that “Practical Guidance,” “Seeking Information,” and “Writing” are the three most common topics and collectively account for nearly 80% of all conversations. Writing dominates work-related tasks, highlighting chatbots’ unique ability to generate digital outputs compared to traditional search engines. Computer programming and self-expression both represent relatively small shares of use. Overall, we find that ChatGPT provides economic value through decision support, which is especially important in knowledge-intensive jobs. ”
Source : How People Use ChatGPT | NBER
“To have full AI sovereignty, you’d need to control absolutely every element of the AI pipeline. Think about what that really means. You’d need to develop and build your own chips; not just design them, but actually manufacture them. You’d need to build and run your own models. Your data pipeline would need to be completely under your control. And so on.And all of this – from the rare earth elements in your hardware to the energy powering your data centers – would need to be independent from external forces. Maybe the United States can achieve this. China might get close. But for smaller countries? For Switzerland, Belgium, or really any nation that isn’t a global superpower? It’s just not realistic.”