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Elon Musk Boosts New Yorker’s Sam Altman Exposé on X as Trial Begins
The move comes as the trial for Elon Musk’s lawsuit against OpenAI kicks off in federal court in Oakland.
David Silver of DeepMind raises $1B to build AI that learns without human data
Amazon Is About to Report Q1 Earnings. Do Options Traders Expect a Major Move in AMZN Stock?
General AI
Stock Market Today, April 27: S&P 500 Inches to New Record on Further AI Optimism
On April 27, 2026, chip leaders surged to fresh highs as AI-fueled data-center demand overrode geopolitical uncertainty.
RBC Capital Raises Astera Labs (ALAB) Price Target Amid Expected Boost from Amazon Trainium3 AI Chips
Astera Labs Inc. (NASDAQ:ALAB) is one of the 10 Best Under-the-Radar Data Center Stocks to Buy. In the past year, the stock surged by 250.86% to its current price of $194.06. The stock jumped 12.77 percent over the past five days, driven by news that Amazon expanded its partnership with Anthropic earlier this week. On […]
DeepMind researcher raises $1.1B for Ineffable Intelligence
The round, led by Sequoia and Lightspeed, values the months-old startup at $5.1 billion — the largest seed round ever in Europe
OpenAI ends its exclusive partnership with Microsoft
Amended agreement clears the way for OpenAI models to run on Amazon Bedrock.
Salesforce CEO Marc Benioff says AI won’t kill entry-level jobs. He’s hiring 1,000 new grads to prove it
The billionaire said the SaaS giant would hire recent grads to help build its AI platforms.
Meet a 20-year-old student who changed her major to marketing to ‘AI-proof’ her career
“You don’t just want to be able to code. You want to be able to have a conversation, form relationships and be able to think critically, because at the end of the day, that’s the thing that AI can’t replace,” said Josephine Timperman, a student at Miami University in Ohio.
Sci-Hub launches Sci-Bot an AI-powered research assistant
Article URL: https://sci-bot.ru/ Comments URL: https://news.ycombinator.com/item?id=47918570 Points: 1 # Comments: 0
Investors back Skye’s AI home screen app for iPhone ahead of launch
Skye's new AI app attracted investors before it even launched — a sign of interest in a more AI-aware iPhone.
OpenAI ends Microsoft legal peril over its $50B Amazon deal
OpenAI has won major concessions from its largest shareholder, Microsoft, that will allow it to sell products on AWS, while Microsoft get more cash in a revenue-share agreement.
DeepMind’s David Silver just raised $1.1B to build an AI that learns without human data
Ineffable Intelligence, a British AI lab founded a mere few months ago by former DeepMind researcher David Silver, has raised $1.1 billion in funding at a valuation of $5.1 billion.
The Man Behind AlphaGo Thinks AI Is Taking the Wrong Path
David Silver has a new billion-dollar company that aims to build AI “superlearners.”
The missing step between hype and profit
This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. In February, I picked up a flyer at an anti-AI march in London. I can’t say for sure whether or not its writers meant to riff on South Park’s underpants gnomes. But…
Microsoft and OpenAI’s famed AGI agreement is dead
OpenAI and Microsoft's partnership-turned-situationship just got even less committed. And a clause about artificial general intelligence, which has for years dictated the future of their deal, has officially been dropped. On Monday morning, Microsoft announced a handful of big changes to its long-standing OpenAI deal. Microsoft will remain OpenAI's "primary cloud partner, and OpenAI products will ship first on Azure, unless Microsoft cannot and chooses not to support the necessary capabilities." But OpenAI can "now serve all its products to customers across any cloud provider." That lets OpenAI pursue its goals of courting enterprise custom … Read the full story at The Verge.
Google employees ask Sundar Pichai to say no to classified military AI use
Google CEO Sundar Pichai arrives for the inauguration of President Donald Trump. | Getty Images Over 600 Google employees signed a letter to CEO Sundar Pichai demanding that Google block the Pentagon from using its AI models for classified purposes, reports the The Washington Post. Its organizers claim many of the signers work in Google's DeepMind AI lab, and include more than 20 principals, directors, and vice presidents. According to the Post, the letter says that "The only way to guarantee that Google does not become associated with such harms is to reject any classified workloads. Otherwise, such uses may occur without our knowledge or the power to stop them." Anthropic is currently in a legal battle with the Pentagon over being … Read the full story at The Verge.
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Microsoft keeps stake, loses exclusive access in new OpenAI agreement
Microsoft (MSFT) and OpenAI (OPAI.PVT) have amended their agreement to allow the private AI developer to partner with Microsoft's competitors. Baird senior research analyst of cloud software William Power comes on Market Domination to talk about what this could mean for Microsoft's — which holds a 27% stake in OpenAI — access to the latter's large-language model products.
New AI framework autonomously optimizes training data, architectures and algorithms — outperforming human baselines
AI R&D runs on a cycle of hypothesis, experiment, and analysis — each step demanding substantial manual engineering effort. A new framework from researchers at SII-GAIR aims to close that bottleneck by automating the full optimization loop for training data, model architectures, and learning algorithms. A new framework called ASI-EVOLVE, developed by researchers at the Generative Artificial Intelligence Research Lab (SII-GAIR), aims to solve this bottleneck. Designed as an agentic system for AI-for-AI research, it uses a continuous "learn-design-experiment-analyze" cycle to automate the optimization of the foundational AI stack. In experiments, this self-improvement loop autonomously discovered novel designs that significantly outperformed state-of-the-art human baselines. The system generated novel language model architectures, improved pretraining data pipelines to boost benchmark scores by over 18 points, and designed highly efficient reinforcement learning algorithms. For enterpri
Open source Xiaomi MiMo-V2.5 and V2.5-Pro are among the most efficient (and affordable) at agentic 'claw' tasks
Xiaomi, the Chinese firm best known for its smartphones and electric vehicles, has lately been shipping some incredibly affordable and high-powered open source AI large language models. The trend continued today with the release of Xiaomi MiMo-V2.5 and Xiaomi MiMo-V2.5-Pro, both available under the permissive, enterprise-friendly MIT License, making them suitable for use in production in commercial applications. Enterprises and individual/independent developers can now download either of the models (and more Xiaomi open source options) directly from Hugging Face, modify them as needed, and run them locally or on virtual private clouds as they see fit. The most notable attribute of these models besides the open source licensing is that, according to Xiaomi's published benchmarks, they are among the most efficient available for agentic "claw" tasks, that is, powering systems such as OpenClaw, NanoClaw and Hermes Agent, in which users can communicate with them directly over third-party m
Canonical lays out a plan for AI in Ubuntu Linux
One of the most popular Linux distributions is about to get an influx of AI features. As reported by Phoronix, Jon Seager, VP of engineering at Ubuntu developer Canonical, shared a blog post on Monday detailing plans to add AI features to the Linux distro over the next year. As the post states, the AI features "will come in two forms: first as a means of enhancing existing OS functionality with AI models in the background, and latterly in the form of 'AI native' features and workflows for those who want them." These features will range from accessibility tools like improved speech-to-text and text-to-speech to agentic AI features for tasks … Read the full story at The Verge.
Join the new AI Agents Vibe Coding Course from Google and Kaggle
Google is bringing back its 5-Day AI Agents Intensive Course with Kaggle and registration is open.
Skymizer Taiwan Inc. Unveils Breakthrough Architecture Enabling Ultra-Large LLM Inference on a Single Card
Source Article excerpt: With a single PCIe card — powered by six HTX301 chips and 384 GB of memory — enterprises can now run 700B-parameter model inference locally at just ~240W per card. The memory-bandwidth-intensive token generation that dominates real-world inference latency. Existing GPUs handle compute-dense prefill; HTX301 cards handle decode. Each silicon matched to its phase. This is a really interesting approach. It only lets the GPU handle the prefill stage, while everything else, including the model weights and decoding, runs entirely on this card. That way, you can run huge billion parameter models without needing to chase after graphics cards with massive VRAM. As for how the actual product will perform in real life, we'll have to wait until early June at Computex to find out. submitted by /u/lurenjia_3x [link] [comments]
OpenAI could be making a phone with AI agents replacing apps
The phone could go into mass production in 2028, an analyst says.
China blocks Meta’s $2B Manus deal after months-long probe
China has ordered Meta to unwind its multibillion-dollar Manus acquisition, dealing a potential setback to Zuckerberg’s push into AI agents.
RAG precision tuning can quietly cut retrieval accuracy by 40%, putting agentic pipelines at risk
Enterprise teams that fine-tune their RAG embedding models for better precision may be unintentionally degrading the retrieval quality those pipelines depend on, according to new research from Redis. The paper, "Training for Compositional Sensitivity Reduces Dense Retrieval Generalization," tested what happens when teams train embedding models for compositional sensitivity. That is the ability to catch sentences that look nearly identical but mean something different — "the dog bit the man" versus "the man bit the dog," or a negation flip that reverses a statement's meaning entirely. That training consistently broke dense retrieval generalization, how well a model retrieves correctly across broad topics and domains it wasn't specifically trained on. Performance dropped by 8 to 9 percent on smaller models and by 40 percent on a current mid-size embedding model teams are actively using in production. The findings have direct implications for enterprise teams building agentic AI pipeline
OpenAI available at FedRAMP Moderate
OpenAI is available at FedRAMP Moderate authorization for ChatGPT Enterprise and the OpenAI API, enabling secure AI adoption for U.S. federal agencies.
Rebuilding the data stack for AI
Artificial intelligence may be dominating boardroom agendas, but many enterprises are discovering that the biggest obstacle to meaningful adoption is the state of their data. While consumer-facing AI tools have dazzled users with speed and ease, enterprise leaders are discovering that deploying AI at scale requires something far less glamorous but far more consequential: data…
Robotics
Sereact raises $110 million investment to advance its ‘world model’ for robotics and AI
Sereact has raised a $110 million Series B round led by Headline, with participation from Bullhound Capital, Daphni, and Felix Capital. Existing investors Air Street Capital, Creandum (who led the company’s 2025 Series A round), and Point Nine once again invested in Sereact. The round funds two priorities: scaling Cortex 2 and entering the United […]
Squaremind raises $18 million to redefine skin exams with robotics and AI
SquareMind, an AI and robotics company developing solutions for dermatology, has announced $18 million in funding, including previously undisclosed pre-Series A financing, to enable high-quality, consistent skin exams and make them accessible at scale. The round was led by Sonder Capital, a California-based venture fund co-founded by medical robotics pioneer and Intuitive Surgical founder Fred […]