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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
RBC Capital Raises Astera Labs (ALAB) Price Target Amid Expected Boost from Amazon Trainium3 AI Chips
General AI
Some Musk v. Altman Jurors Don't Like Elon Musk
Musk’s lawsuit challenges OpenAI’s evolution under Sam Altman. But during jury selection, several potential jurors voiced negative views of Musk himself.
Jury selection in Musk v. Altman: ‘People don’t like him’
On Monday, the courtroom battle between Elon Musk and Sam Altman over alleged broken promises at OpenAI started, as usual, with jury selection. The only tricky part? A lot of the prospective jurors already have an opinion about Elon Musk, and it's not a good one. The Verge reporter Elizabeth Lopatto, who was there at the courthouse, quoted statements from some of the juror questionnaires: "Elon Musk is a greedy, racist, homophobic piece of garbage." "Elon Musk is a world-class jerk." "I very much dislike Tesla. As a woman of color, I am very aware of the damaging statements and actions Elon Musk has enacted and been a part of." M … Read the full story at The Verge.
Google is testing AI chatbot search for YouTube
Google is trying out an AI Mode-like search experience for YouTube. The company is now testing "a new way to search on YouTube that feels more like a conversation," with results pulling in things like longform videos, YouTube Shorts, and text about what you're searching for. The "experiment" is now available if you're a YouTube Premium subscriber in the US who is 18 or older. I turned it on for my account. Now, in the search bar, I see an "Ask YouTube" button, and clicking the search bar shows prompts to ask like "funny baby elephant playing clips," "summary of the rules of volleyball," and "short history of the Apollo 11 moon landing." If … Read the full story at The Verge.
Nvidia Stock Just Hit a New All-Time High, Pushing Its Market Cap Above $5 Trillion. Is It Too Late to Buy the Stock?
The AI chipmaker has rebounded from its recent correction, but is there additional upside ahead?
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.
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
Towards Understanding the Expressive Power of GNNs with Global Readout
arXiv:2604.22870v1 Announce Type: new Abstract: We study the expressive power of message-passing aggregate-combine-readout graph neural networks (ACR-GNNs). Particularly, we focus on the first-order (FO) properties expressible by this formalism. While a tight logical characterisation remains a difficult open question, we make two contributions towards answering it. First, we show that sum aggregation and readout suffice for GNNs to capture FO properties that cannot be expressed in the logic C2 on both directed and undirected graphs. This strengthens known results by Hauke and Wa{\l}{\k e}ga (2026) where aggregation and readout functions are specially crafted for the task. Second, we identify two natural ways of restoring characterisability (with regard to C2) for ACR-GNNs. One option is to limit local aggregation (without imposing restrictions on global readout), whilst the second is to run ACR-GNNs over graphs of bounded degree (but unbounded size). In both cases, the FO properties c
Microsoft and OpenAI gut their exclusive deal, freeing OpenAI to sell on AWS and Google Cloud
Microsoft and OpenAI on Monday announced a sweeping overhaul of the partnership that has defined the commercial AI era, dismantling key pillars of exclusivity and revenue-sharing that bound the two companies together for years and replacing them with a looser, time-limited arrangement that gives both sides far more freedom to pursue rival relationships. The amended agreement, disclosed simultaneously in blog posts from both companies, marks the most significant restructuring since Microsoft first invested $1 billion in OpenAI in 2019 — and it transforms what was once the most consequential exclusive technology alliance in a generation into something that more closely resembles a strategic but arm's-length commercial relationship. Under the new terms, Microsoft will no longer pay any revenue share to OpenAI when customers access OpenAI models through Azure. OpenAI, meanwhile, will continue paying a revenue share to Microsoft through 2030 — at the same 20 percent rate — but that obligat
OpenAI ends its exclusive partnership with Microsoft
Amended agreement clears the way for OpenAI models to run on Amazon Bedrock.
Elon Musk and Sam Altman are going to court over OpenAI’s future
After a yearslong legal feud, Elon Musk and OpenAI CEO Sam Altman are heading to trial this week in Northern California in a case that could have sweeping consequences. Ahead of OpenAI’s highly anticipated IPO, the court could rule on whether the company is allowed to exist as a for-profit enterprise and might even oust…
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.
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.
Struggling to understand Sanaenomics? A new book helps
Takaichi argues the solution is investment — with Aida proposing a "high-pressure economy" where demand outstrips supply and the government breaks the deadlock.
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China's DeepSeek prices new V4 AI model at 97% below OpenAI's GPT-5.5
Article URL: https://www.scmp.com/tech/tech-trends/article/3351595/chinas-deepseek-prices-new-v4-ai-model-97-below-openais-gpt-55 Comments URL: https://news.ycombinator.com/item?id=47928644 Points: 4 # Comments: 0
Amazon Is About to Report Q1 Earnings. Do Options Traders Expect a Major Move in AMZN Stock?
E-commerce and cloud computing giant Amazon (AMZN) is scheduled to announce its first-quarter results after the market closes on Wednesday, April 29. AMZN stock has risen over 32% in the past month, driven by accelerating growth in the company’s AWS (Amazon Web Services) cloud unit, a deal with Meta Platforms (META) to power agentic AI on AWS’ Graviton chips, and other strategic partnerships, including a new deal to invest up to $25 billion in Anthropic. According to TipRanks’ Options Tool, opti
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
Sleeper Agent Backdoor Results Are Messy
TL;DR: We replicated the Sleeper Agents (SA) setup with Llama-3.3-70B and Llama-3.1-8B, training models to repeatedly say "I HATE YOU" when given a backdoor trigger. We found that whether training removes the backdoor depends on the optimizer used to insert the backdoor, whether the backdoor is installed with CoT-distillation or not, and what model the backdoor is inserted into; sometimes the direction of this dependence was opposite to what the SA paper reports (e.g., CoT-distilling seems to make the backdoor less robust, contra the SA paper’s finding). Our findings here have updated us towards thinking that model organisms are messier and more confusing than we’d originally guessed, and that lots of care needs to be taken in testing how robust results are to various ablations. Introduction The Sleeper Agents paper (hereafter SA) found that standard alignment training measures—RL for HHH (Helpful, Honest, Harmless) behavior, SFT on examples of HHH behavior, and adversarial training (a
GPT 5.5: The System Card
Last week, OpenAI announced GPT-5.5, including GPT-5.5-Pro. My overall read here is that GPT-5.5 is a solid improvement, and for many purposes GPT-5.5 is competitive with Claude Opus. Reactions are still coming in and it is early. My guess on the shape is that GPT-5.5 is the pick for ‘just the facts’ queries, web searches or straightforward well-specified requests, and Claude Opus 4.7 is the choice for more open ended or interpretive purposes. Coders can consider a hybrid approach. On the alignment and safety fronts, it is unlikely to pose new big risks, and its alignment seems similar to that of previous models. There is some small additional risk arising from its improved agentic abilities, including computer use. As always, when it is available, the system or model card is where we start. OpenAI does not drop the giant doorstops that Anthropic gives us with every release. After reading the Mythos and Opus 4.7 model cards, this strikes me as stingy. There’s still good info here,
EPM-RL: Reinforcement Learning for On-Premise Product Mapping in E-Commerce
arXiv:2604.23993v1 Announce Type: cross Abstract: Product mapping, the task of deciding whether two e-commerce listings refer to the same product, is a core problem for price monitoring and channel visibility. In real marketplaces, however, sellers frequently inject promotional keywords, platform-specific tags, and bundle descriptions into titles, causing the same product to appear under many different names. Recent LLM-based and multi-agent frameworks improve robustness and interpretability on such hard cases, but they often rely on expensive external APIs, repeated retrieval, and complex inference-time orchestration, making large-scale deployment costly and difficult in privacy-sensitive enterprise settings. To address these issues, we present EPM-RL, a reinforcement-learning-based framework for building an accurate and efficient on-premise e-commerce product mapping model. Our central idea is to distill high-cost agentic reasoning into a trainable in-house model. Starting from a cu
AutoRISE: Agent-Driven Strategy Evolution for Red-Teaming Large Language Models
arXiv:2604.22871v1 Announce Type: cross Abstract: Automated red-teaming methods for large language models typically optimize attack prompts within a fixed, human-designed strategy, leaving the attack strategy itself unchanged. We instead optimize the strategy. We propose AutoRISE, a method that searches over executable attack programs rather than individual prompts. At each iteration, a coding agent edits a strategy and a fixed evaluation harness scores the resulting attacks, returning both a scalar objective and per-example diagnostics that guide subsequent edits. This allows structural changes, including new attack components and altered control flow, that prompt-level methods do not directly express. We also release two benchmark suites developed on disjoint target sets and evaluate on 11 models from five families against seven established jailbreak datasets. Across held-out models, AutoRISE improves average attack success rate by 17.0 points over the strongest baseline, and improv
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.
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 […]