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NVIDIA, OpenAI Announce ‘Biggest AI Infrastructure Deployment in History’

“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

Cache of Devices Capable of Crashing Cell Network Is Found Near U.N.

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“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

How Latam-GPT is building culturally relevant AI for the region

An illustration of a mobile phone showing a chat between a user and an AI chatbot

« 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

How People Use ChatGPT

“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

AI Sovereignty Is a Spectrum, Not a Switch

“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.”

Source : AI Sovereignty Is a Spectrum, Not a Switch

Les États-Unis sont devenus le plus gros investisseur en matière de logiciels espions

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“Les États-Unis sont devenus en 2024, avant même que Donald Trump ne soit réélu, le plus gros investisseur en matière de logiciels espions réservés aux États, forces de l’ordre et services de renseignement.Sur les 34 nouveaux investisseurs identifiés en 2024, 20 sont américains, portant leur nombre total à 128, dont 31 aux États-Unis. 31 autres résident en Europe, dont 12 en Italie, connue pour être une plaque tournante des logiciels espions, cinq au Royaume-Uni, quatre en Espagne, plus 26 en Israël. Les deux entités françaises, Nexa Technologies (ex-Amesys) et Zerodium (ex-VUPEN), ont depuis cédé ou cessé leurs activités.”

Source : Les États-Unis sont devenus le plus gros investisseur en matière de logiciels espions – Next

Rapport menaces et incidents – CERT-FR

“Depuis 2021, Apple envoie des campagnes de notifications aux individus ciblés par des attaques menées à l’aide de logiciels espions.Ces logiciels, tels que Pegasus, Predator, Graphite ou Triangulation sont particulièrement sophistiqués et difficiles à détecter.Ces attaques complexes ciblent des individus pour leur statut ou leur fonction : journalistes, avocats, militants, hommes politiques, hauts fonctionnaires, membres de comités de direction de secteurs stratégiques, etc.La réception d’une notification signifie qu’a minima un des appareils liés au compte iCloud a été ciblé et serait potentiellement compromis.La notification se traduit par la réception d’un iMessage et d’un courriel d’alerte envoyé par Apple (depuis l’adresse threat-notifications[at]email.apple.com ou threat-notifications[at]apple.com). Lors de la connexion au compte iCloud, une alerte est affichée. Le temps entre la tentative de compromission et la réception de la notification est de plusieurs mois, mais reste variable.”

Source : Rapport menaces et incidents – CERT-FR

Europe vs Google : déjà 11,2 milliards d’euros d’amendes, où en sont les procédures ?

Europe vs Google : déjà 11,2 milliards d’euros d’amendes, où en sont les procédures ?

“Voici pour commencer un rappel des quatre amendes prononcées par la Commission européenne, avec les montants initiaux. L’une d’entre elles a été annulée, une autre confirmée et une troisième légèrement réduite, mais en attente de confirmation (ou non) par la Cour de Justice de l’Union européenne. 2017 : 2,42 milliards d’euros (moteur de recherche, comparateur de prix) 2018 : 4,3 milliards d’euros (Android) 2019 : 1,49 milliard d’euros (publicité en ligne) 2025 : 2,95 milliards d’euros (publicité en ligne) Le montant dépasse les 11 milliards d’euros, trois des quatre procédures sont encore en cours.”

Source : Europe vs Google : déjà 11,2 milliards d’euros d’amendes, où en sont les procédures ? – Next

How Simplify in the Google app uses AI to make complex text easier to understand

A flowchart illustrates an iterative loop for improving text simplification. An original text is simplified and then evaluated on readability, completeness and entailment. Based on the evaluation, prompts are refined and ranked to continue the loop.

“The path to Simplify began in the specialized world of medicine, where no detail should be spared. « Doctors sometimes use language that’s purposefully obscured to reduce patient anxiety or preserve privacy, » says Diego Ardila, a Google Research software engineer. « They might say, ‘The patient is undergoing emesis,’ which just means they’re vomiting. Sometimes there’s a use for that inside a hospital, but other times it actually gets in the way.”The team built an internal simplification demo, and started testing it on text outside of medicine. “We found that it just kept working because the underlying AI models are general-purpose,” Diego says. “Seeing its potential for broader applications, we shared it with other teams.””

Source : How Simplify in the Google app uses AI to make complex text easier to understand

YouTube secretly used AI to edit people’s videos. The results could bend reality

Illustration by Serenity Strull/ Getty Images An illustration of a woman's face being altered and skewed by-the-pixel on a YouTube video (Credit: Illustration by Serenity Strull/ Getty Images)

“YouTube did not respond to the BBC’s questions about whether users will be given a choice about AI tweaking their videos.It’s certainly true that modern smartphones come with built-in AI features that can enhance image and video quality. But that’s an entirely different affair, according to Samuel Woolley, the Dietrich chair of disinformation studies at the University of Pittsburgh in the US. « You can make decisions about what you want your phone to do, and whether to turn on certain features. What we have here is a company manipulating content from leading users that is then being distributed to a public audience without the consent of the people who produce the videos. »”

Source : YouTube secretly used AI to edit people’s videos. The results could bend reality

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