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Nvidia and Infineon are partnering to introduce an 800V DC power architecture into Nvidia's MGX AI Factory ecosystem. The collaboration targets next generation AI data centers, aiming to improve energy efficiency and system density by simplifying power conversion. This extension of the MGX ecosystem focuses on power delivery, not just compute hardware, and is positioned for large scale AI workloads. Nvidia, listed on NasdaqGS:NVDA, is widely associated with AI compute. This move shows the...



With a forward P/E ratio of 17.67, NVIDIA Corporation (NASDAQ:NVDA) is among the 10 Best Growth Stocks to Buy with Low P/E Ratios. On May 21, Raymond James raised its price target on NVIDIA Corporation (NASDAQ:NVDA) to $330 from $323 while maintaining a Strong Buy rating on the shares. The firm stated that Nvidia delivered stronger-than-expected first-quarter results alongside […]

Alphabet is ramping up efforts to compete with Nvidia in the market for AI accelerators.

From specialized motors to the use of machine learning algorithms, Turkey’s billion-dollar hair-transplant industry is the result of a constant process of innovation.

The crypto weed vape found me on 4/20, the high holiday of cannabis enthusiasts everywhere. It arrived over Slack with the thumbnail of a man exhaling a plume of vapor, the words "every hit delivers Bitcoin" emblazoned across it. It claimed to be advertising a device called Gudtrip, and I thought everything about it sounded fake. So I went looking for it. What I eventually found, after weeks of searching, dozens of emails, and a reporting effort that spanned continents, was somehow even dumber than I'd imagined. My first port of call was Gudtrip's website, which only made the vape seem more like a prank. The company's description of the pr … Read the full story at The Verge.

EQT has struck a deal with Alphabet Inc.‘s Google Cloud aimed at speeding up artificial intelligence projects across more than 300 companies held in the buyout firm's portfolio. The arrangement gives these businesses access to Google Cloud's AI and security...
Breakfast cereal bowls, deli sandwiches, pizza dinners, soups, yogurt plates. Most people do not eat from a blank slate, they eat from habit. That is part of what makes nutrition advice so hard to follow. It is also part of what a new artificial intelligence system tried to solve. submitted by /u/Brighter-Side-News [link] [comments]

The golden age of Microsoft's Github Copilot appears to be at an end.

Anthropic bans AI during job interviews and runs candidates through up to five rounds testing skills, values, and ethical thinking. Salaries go up to $850,000, and some applicants pay $4,600 for prep coaching run anonymously by current AI company employees. The article Anthropic bans AI tools during job interviews to see how candidates actually think appeared first on The Decoder.

With "Epicure," London-based startup Kaikaku.AI presents three AI models that are the first to clearly separate whether an ingredient fits a recipe or is chemically related. Trained on 4.14 million recipes in seven languages and the FlavorDB flavor database, each variant returns different recommendations. The purely chemistry-based model even classifies taste and nutritional values better than the recipe-based alternatives, despite never seeing that information directly. The article Ask AI what goes with chicken and the answer depends on whether it learned from recipes or molecules appeared first on The Decoder.

Researchers with typically male names use coding agents more than twice as often as those with typically female names, even within the same discipline and career level, according to an Anthropic study. Economists lead at 39 percent, while education researchers sit at just four percent. The gender gap for coding agents is far wider than for general AI use. The article Anthropic study finds men use AI coding agents more than twice as often as women in social science research appeared first on The Decoder.
I built BrainAIstorm basically stops you from making dumb decisions (or at least makes you think twice). You describe what you're stuck on, AI asks critical questions first, then gives you structured analysis: options, biases you might have, what could flip the decision. The cool part is it tracks your patterns over time, so you learn if you're always rushing decisions or overthinking everything. Still pretty rough around the edges but free to try if you've got a decision you're stuck on. Would love to know if it's actually useful or just solving my own weird problems Link in the comments submitted by /u/Direct_Tension_9516 [link] [comments]

Sridhar Ramaswamy predicts that companies reliant on seat-based income will scramble to justify their premiums as employees use AI to accomplish an immense amount of work.

Mathematician Terence Tao describes how AI could reshape math research by enabling division of labor for the first time. Until now, researchers had to master every step themselves, from framing problems to verifying results. Tao sees "industrial mathematics" emerging: large AI-supported teams instead of lone geniuses, with humans staying indispensable for "inspired guesses." The article Terence Tao argues AI could bring division of labor to math for the first time in history appeared first on The Decoder.
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a quiet day lets us highlight the new AIE WF focuses
Article URL: https://www.ft.com/content/1022f9bd-5b6d-44a5-9303-c8b05b8c6463 Comments URL: https://news.ycombinator.com/item?id=48339542 Points: 1 # Comments: 1

SoftBank plans to build AI data centers with up to 5 gigawatts of capacity in France, the company's largest AI infrastructure investment in Europe, at up to 75 billion euros. By 2031, facilities worth 45 billion euros are set to go up at three sites in northern France. SoftBank's mega announcements keep stacking up worldwide, but many projects have yet to materialize. The article SoftBank plans 75 billion euro AI data center buildout in France appeared first on The Decoder.

SoftBank’s initial investment plans to deliver data centers in Dunkirk, Bosquel and Bouchain.

We’ve compiled an overview of some of the top alternative browsers available today aiming to challenge Chrome and Safari.

Meta seems to be making big bets on AI-powered hardware.

Mill CEO and Nest co-founder Matt Rogers watched Apple render startups obsolete overnight. He says the same dynamic is playing out in AI — and the survival playbook looks familiar.
AI news from 200+ sources
Get Started FreeHey fellow builders. Happy Sunday! Tldr: building agent interoperability infra...I'm stubborn, so we're building it anyway, but your input/rejection/validation/interest appreciated. Much of the good work we AI engineers are doing rn seems to fall into two camps...either building for ourselves (local islands), or building for services (internal ops/workflows/some web2.0 outreach etc...), including some of us creating AI agencies to help businesses ride the agentic wave... It's an exciting place to be, although you'll probably agree, it's a pretty emotional rollercoaster, constantly feeling both ahead and massively behind the curve... For some while, I've been thinking ahead as to where our valuable work is heading, and want to stimulate discussion...all thoughts very much appreciated! There are no wrong answers! What happens when we start building outward? ...when our agents start "leaving the building"? (Google thought piece, March 26). ...when, rather than building agents fo
i'm experimenting with a weekly live build session and wanted to see if anyone here would be interested. today I'm going to be deploying an AI agent directly on WhatsApp and walking through the setup live. the goal isn't to create another tutorial. i personally have a bunch of AI tools I want for my own life and business, but they never become priorities because client work always comes first. so I'm forcing myself to build them publicly. for today's session I'll be showing how to get the Hermes agent running on your own WhatsApp so you can use it as a personal AI assistant. anyone is welcome to build alongside me, ask questions, or work on their own AI agent during the session. if enough people are interested, i'll drop the link in the comments. submitted by /u/astronaut_611 [link] [comments]
As the title says, there is no speed difference between Linux and Windows when using llama.cpp. I myself kept two operating systems on my computer for a long time because of this misconception. But when I got tired of constantly switching, I decided to check how much performance I’d lose if I moved to Windows. First, a brief overview of the PC used in these tests: - CPU: Core Ultra 7 265KF under water cooling, with a slight overclock to 5.6/4.7 GHz core frequencies - Motherboard: Asus Z890 with three PCIe slots, two of them PCIe 4.0 x4 - RAM: Kingston Beast DDR5 192 GB (4×48 GB) at 6400 MHz, with slightly reduced voltage and relaxed timings to keep temperatures down - GPUs: Nvidia GeForce RTX 5080 16 GB + RTX 5060 Ti 16 GB + RTX 5060 Ti 16 GB, all undervolted with a slight memory overclock - PSU: 1200 W 80 Plus Gold — 1000 W would have been enough, but I went with headroom from the start Operating systems used: Ubuntu 26.04 with KDE and GNOME — I also ran one test with Xfce — an
Author here. The short version of why I built this: Cyber-AI evaluation is converging on the same diagnosis from multiple labs. Anthropic's Claude Mythos system card this year: their cyber ranges "lack many features often present in real-world environments such as defensive tooling," and CTF-style benchmarks are saturated to the point Anthropic is questioning whether to continue reporting them. UK AISI's most recent multi-step cyber paper (Folkerts et al.): "No active defenders. Our ranges are static." OpenAI's Trustworthy Third-Party Evaluations playbook: "Evaluators should prefer private or newly constructed tasks where possible." Carlini at DeepMind, last year on Latent Space: stop relying on standardised public benchmarks; construct private custom ones. The diagnosis is converging. The methodology piece is what was missing. PolyRange operationalises the diagnosis. Every deploy is freshly LLM-generated by the researcher's choice of generator model — so OpenAI's "newly constructed

Article URL: https://www.theatlantic.com/technology/2026/05/how-to-tell-ai-writing/687345/ Comments URL: https://news.ycombinator.com/item?id=48338514 Points: 3 # Comments: 1

Article URL: https://docs.github.com/en/copilot/reference/copilot-billing/request-based-billing-legacy/model-multipliers-for-annual-plans Comments URL: https://news.ycombinator.com/item?id=48339069 Points: 3 # Comments: 0

Gemini Spark helps automate everyday tasks, from inbox summaries to local event planning, but it’s unclear why Google made it a separate product.