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Curated from 200+ sources across AI & machine learning
Turkey unveils new missile, AI touts as able to hit US mainland
Article URL: https://www.ft.com/content/d2136091-9fd2-4923-b168-50539e5b27ab Comments URL: https://news.ycombinator.com/item?id=48077176 Points: 2 # Comments: 0
SubQ: A New LLM with a 12M Token Context That Rivals Claude and ChatGPT
Alphabet Inc. (GOOGL) Raises Over $17 billion Through Euro-denominated Bonds
General AI
Intent-based chaos testing is designed for when AI behaves confidently — and wrongly
Here is a scenario that should concern every enterprise architect shipping autonomous AI systems right now: An observability agent is running in production. Its job is to detect infrastructure anomalies and trigger the appropriate response. Late one night, it flags an elevated anomaly score across a production cluster, 0.87, above its defined threshold of 0.75. The agent is within its permission boundaries. It has access to the rollback service. So it uses it. The rollback causes a four-hour outage. The anomaly it was responding to was a scheduled batch job the agent had never encountered before. There was no actual fault. The agent did not escalate. It did not ask. It acted, confidently, autonomously, and catastrophically. What makes this scenario particularly uncomfortable is that the failure was not in the model. The model behaved exactly as trained. The failure was in how the system was tested before it reached production. The engineers had validated happy-path behavior, run load
AI Accelerator UALink Maintains Rapid Update Pace- EE Times
Article URL: https://www.eetimes.com/ai-accelerator-spec-maintains-rapid-update-pace/ Comments URL: https://news.ycombinator.com/item?id=48075705 Points: 1 # Comments: 0
The new Wild West of AI kids’ toys
These connected companions could disrupt everything from make-believe to bedtime stories. No wonder some lawmakers want them banned.
Qualcomm’s CEO is working with ‘pretty much all’ major AI players on top-secret devices—and powering OpenAI’s first push into hardware
The phone is dying. Cristiano Amon knows what's replacing it—he just won't tell you yet.
Companies are abandoning ‘peanut butter’ raises as pay-for-performance takes over the workplace in the AI era
Only 4% of employers still spread raises equally across the board, according to Mercer.
Jim Cramer on Palantir: “Great Margins, Terrific Revenue Growth”
Palantir Technologies Inc. (NASDAQ:PLTR) was one of the stocks featured in Jim Cramer’s Mad Money recap, as he discussed how the AI build-out could power the economy. Cramer highlighted the market’s reaction following the company’s earnings, as he commented: Palantir gives you one of the best quarters I’ve ever seen. Great margins, terrific revenue growth, […]
Jim Cramer Says “Amazon is Winning, and It’s Winning Big”
Amazon.com, Inc. (NASDAQ:AMZN) is one of the stocks Jim Cramer shared his thoughts on as he discussed Big Tech’s AI spending. Cramer maintained a positive view of the company, as he commented: Go back to what we learned from Amazon on Monday on the show. The age of compute domination based on AI is already […]
Forget Earnings Season. It’s Takeover Season
The team discusses GameStop’s proposal to buy eBay, a rumor regarding interest from Anthropic to buy Atlassian, and lessons from a great acquirer in Berkshire Hathaway.
Using perspective lines to identify AI generated photos
Article URL: https://www.science.org/content/article/deepfakes-are-everywhere-godfather-digital-forensics-fighting-back Comments URL: https://news.ycombinator.com/item?id=48076119 Points: 2 # Comments: 0
Nvidia has already committed $40B to equity AI deals this year
Nvidia continues to be a big investor in the AI ecosystem.
OpenAI launches new voice intelligence features in its API
The new features could be handy for customer service systems, but OpenAI says they have applications that work across a variety of other fields, including education and creator platforms.
![[AINews] Anthropic growing 10x/year while everyone else is laying off >10% of their workforce](https://zmstgxtziqmvvwzllahg.supabase.co/storage/v1/object/public/article-images/latent-space/e4eb3a0d-fe3c-4abc-8296-50a717419245.jpg)
[AINews] Anthropic growing 10x/year while everyone else is laying off >10% of their workforce
A quiet day lets us reflect on an interesting dichotomy in the economy.
new MoE from ai2, EMO
new MoE release from ai2 - EMO, 1b-active/14b-total trained on 1t tokens interesting thing is document-level routing. experts cluster around domains like health, news, etc. instead of surface patterns models: https://huggingface.co/collections/allenai/emo submitted by /u/ghostderp [link] [comments]
5,000 vibe-coded apps just proved shadow AI is the new S3 bucket crisis
Most enterprise security programs were built to protect servers, endpoints, and cloud accounts. None of them was built to find a customer intake form that a product manager vibe coded on Lovable over a weekend, connected to a live Supabase database, and deployed on a public URL indexed by Google. That gap now has a price tag. New research from Israeli cybersecurity firm RedAccess quantifies the scale. The firm discovered 380,000 publicly accessible assets, including applications, databases, and related infrastructure, built with vibe coding tools from Lovable, Base44, and Replit, as well as deployment platform Netlify. Roughly 5,000 of those assets, about 1.3%, contained sensitive corporate information. CEO Dor Zvi said his team found the exposure while researching shadow AI for customers. Axios independently verified multiple exposed apps, and Wired confirmed the findings separately. Among the verified exposures: a shipping company app detailed which vessels were expected at which por
The New Wild West of AI Kids’ Toys
These cuddly, connected companions could disrupt everything from make-believe to bedtime stories. No wonder some lawmakers want them banned.
Voi founders’ new AI startup Pit has become the latest rising star out of Stockholm
AI startup Pit is led by the cofounders of European scooter giant Voi and backed by a16z, which is leading the startup’s $16 million seed round.
Taiwanese company Skymizer announces HTX301 - PCIE inference card with 384GB of Memory at ~240 Watts
submitted by /u/Thrumpwart [link] [comments]
Musk v. Altman week 2: OpenAI fires back, and Shivon Zilis reveals that Musk tried to poach Sam Altman
In the second week of the landmark trial between Elon Musk and OpenAI, Musk’s motivations for bringing the suit were under scrutiny. Last week, Musk took the stand, alleging that OpenAI CEO Sam Altman and president Greg Brockman had deceived him into donating $38 million to the company. He claimed that they’d promised to maintain…
The Week’s 10 Biggest Funding Rounds: Enterprise AI, Space Tech And Biotech Top The Ranks
Another week, another infusion of big AI rounds.
Chrome's 4GB AI model isn't new, but you're not wrong for being confused
You can stop Chrome from taking up 4GB of storage for local AI, but that shouldn't be your problem.
AI news from 200+ sources
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CTONE Group Unveils AI Strategy and New Agent Computer Series
On May 8, 2026, CTONE held its AI Computing Strategy Transformation and New Product Launch Event in Shenzhen, officially announcing its transition from a "global leader in Mini PCs" to a "builder of the AI computing ecosystem," and unveiling the CTONE Agent Computer and AI Agent Workstation series.
What if new proofs are included in LLM training so LLM rediscover it?
If I were to sell the power of LLMs as powerful research agents, and if I had enough money, I could think about introducing little "gems" into the training set of LLM so that my model would be able to discover new theorems and proofs. There is a lot of money at the table, and I am sure there are a lot of genius people with little pay. Perhaps this kind of thinking is wrong?, only bad people would think like this?, how could one detect such a trick without knowing the training set? Comments URL: https://news.ycombinator.com/item?id=48073325 Points: 2 # Comments: 1
Anthropic says it hit a $30 billion revenue run rate after 'crazy' 80x growth
Dario Amodei is not the kind of CEO who talks loosely about numbers. The Anthropic co-founder and chief executive, a former VP of research at OpenAI with a PhD in computational neuroscience from Princeton, has built a reputation for measured public statements — particularly around the financial performance of a company that, until recently, disclosed almost nothing about its business. So when Amodei took the stage at Anthropic's Code with Claude developer conference on Wednesday and offered a genuinely striking piece of financial candor, the room paid attention. "We tried to plan very well for a world of 10x growth per year," Amodei said during a fireside chat with Anthropic's chief product officer, Ami Vora. "And yet we saw 80x. And so that is the reason we have had difficulties with compute." Anthropic had planned for tenfold growth. But revenue and usage increased 80-fold in the first quarter on an annualized basis, a rate Amodei described as "just crazy" and "too hard to handle."
OpenAI brings GPT-5-class reasoning to real-time voice — and it changes what voice agents can actually orchestrate
Voice agents have been expensive to run and painful to orchestrate, not because the models can't handle conversation, but because context ceilings forced enterprises to build session resets, state compression, and reconstruction layers into every deployment. OpenAI's three new voice models are designed to reduce that overhead, and they change how engineers can think about building voice into a larger agent stack. GPT-Realtime-2, GPT-Realtime-Translate, and GPT-Realtime-Whisper integrate real-time audio into the model management stack as discrete orchestration primitives — separating conversational reasoning, translation, and transcription into specialized components rather than bundling them in a single voice product. The company said in a blog post that Realtime-2 is its first voice model “with GPT-5 class reasoning” and can handle difficult requests and keep conversations flowing naturally. Realtime-Translate understands more than 70 languages and translates them into 13 others at th
AI safety tests have a new problem: Models are now faking their own reasoning traces
Anthropic's Natural Language Autoencoders make Claude Opus 4.6's internal activations readable as plain text. Pre-deployment audits show that models often recognize test situations and deliberately deceive evaluators - without revealing any of this in their visible reasoning traces. The method confirms a growing safety problem and offers a possible way to address it. The article AI safety tests have a new problem: Models are now faking their own reasoning traces appeared first on The Decoder.
Robotics
Cognex releases fully integrated AI-powered vision system for robotics
The system combines Cognex-developed edge AI, advanced AI, and rule-based vision tools with a high-performance embedded compute. The post Cognex releases fully integrated AI-powered vision system for robotics appeared first on The Robot Report.
Developer Tools
Rocsys launches ‘next-generation’ hands-free charging system for heavy-duty electric fleets
Rocsys, a developer of charging technologies for electric and autonomous vehicles, has launched the S2, its next-generation hands-free charging solution for heavy-duty electric vehicles operating in demanding environments. Part of Rocsys’ expanding portfolio of stewards, including the recently unveiled M1, the S2 is now available to order for ports, distribution hubs and other logistics facilities. […]