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Curated from 200+ sources across AI & machine learning

Broadcom Inc (NASDAQ:AVGO) is one of Renaissance Technologies’ top semiconductor stock picks. Broadcom shares have gained more than 20% year-to-date and soared around 80% over the past 12 months. On May 26, Broadcom Inc (NASDAQ:AVGO) announced the launch of a new broadband technology designed to support AI applications and next-generation home networks. The company introduced […]



Nvidia Corp (NASDAQ:NVDA) is one of Renaissance Technologies’ top semiconductor stock picks. Nvidia shares have gained around 60% over the past year. Nvidia Corp (NASDAQ:NVDA) is expanding its presence in the enterprise artificial intelligence market through partnerships that help businesses deploy private AI systems powered by its chips and software. On May 26, ePlus announced […]

Environmental activist Erin Brockovich has a new mission.

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...

ACTi Law Pro Webinar question submitted by law intern answered by GOOG quantum AI wizard’s predicts Revolutionary Path to combined AI Law tools from AI-119 QAIA & Athena AI platforms, to offer a solution for over 440,000 CLJA Veteran claimants caught up in courts RALIEGH, N.C., May 31, 2026 (GLOBE NEWSWIRE) -- A groundbreaking architectural design, modeled super AI Law notion using Google AI, revealed after a law intern begged the question as to how compounding the state-of-the-art data infrastr

On the latest episode of Equity, we debate whether tech CEOs are "uniquely prone to AI psychosis."

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

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.

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.
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]
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

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.

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.

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

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.

I tested Wispr Flow and various AI-powered transcription software to see whether you should bother subscribing or stick with free services.
After understanding how much I don't know and how much I have to learn I am going to place my first bet on the AI casino table , and for now it's Hermes. I have also decided to go the locally hosted route and would be very grateful if successful user of Hermes share with me there physical stack (p. S I ha never touched i. Os) and any additional setup do's and dont's specifically surrounding using Hermes! TIA! submitted by /u/TasteCertain4323 [link] [comments]
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]
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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

Leading AI search agents like GPT-5.4 and Kimi K2.6 don't appear to do much actual research on established benchmarks. They mostly just use the web to confirm what they already learned during training. Researchers at the Harbin Institute of Technology found this using a new time-based benchmark called LiveBrowseComp, which only asks about events from the last 90 days. Once the models can't fall back on memory, performance falls apart and the existing rankings get reshuffled. The article AI search agents often confirm what they already know instead of actually researching the web appeared first on The Decoder.

Gemini Spark helps automate everyday tasks, from inbox summaries to local event planning, but it’s unclear why Google made it a separate product.
Just a fun question. If you suddenly couldn't use ChatGPT anymore, which AI tool would become your daily driver and why? Interested to see what people here are actually using besides the obvious options. submitted by /u/ritik_bhai [link] [comments]
Amazon isn’t just building AI—it’s building AI that moves furniture, delivers groceries, and negotiates with suppliers. And Visa believes this will dominate global commerce. Here’s why. The Deep-Dive: Amazon’s new Prime skunkworks division is deploying “physical-world agents” (yes, real robots with intent). These aren’t drones; they’re AI systems integrated with IoT devices, logistics networks, and even brick-and-mortar stores. Visa’s $1B investment in Replit (via their acquisition) isn’t just about code—it’s about enabling seamless payment integration with these agents. •What’s happening: Agents can now autonomously manage supply chains. Imagine an AI warehouse manager that reroutes shipments in real-time based on demand spikes. •Visa’s angle: They see agentic commerce as the next wave. Agents will handle end-to-end transactions, from a smart kitchen ordering out-of-stock items to a hotel concierge book your entire trip. •Reddit trend tie-in: A r/Artificial post this week showed
A Cursor agent deleted PocketOS entire production database in 9 seconds. Backups too. Most of the debates pretty much blame the dev who approved without reviewing the changes. There is no record of what that agent had done in prior sessions, what workflows it had been trusted to run, or whether its behavior on this task differed from the last time it touched that codebase. So, while we blame the dev, what could he/she have done when the record to be reviewed never existed to begin with? Food for agentic thoughts. submitted by /u/Worldline_AI [link] [comments]