All 3,125 AI stories, newest first · page 60 of 131
Amazon's cloud division, AWS, is exploring selling its custom AI chips to other data centers. This move aims to challenge Nvidia's dominance in the AI hardware market, with CEO Andy Jassy calling it a potential $50 billion opportunity.
Amazon is reportedly investigating engineers who publicly criticized the company's plans to expand AI data centers. This highlights growing internal tensions over AI's environmental and ethical impacts.
Researchers used an OpenAI reasoning model to help diagnose rare diseases, identifying 18 new diagnoses in previously unsolved cases. This could revolutionize how doctors approach these complex conditions.
AI models with sophisticated hacking capabilities are becoming more common, raising serious security concerns. Experts argue that these developments are unstoppable, requiring proactive measures to mitigate risks.
The Verge's newsletter unpacks a petty feud between the White House and Anthropic over AI model names—Fable and Mythos—revealing how a fight about safety labeling is reshaping frontier AI policy behind the scenes.
Some Russian families are using AI to recreate the voices of loved ones killed in the Ukraine conflict. This technology allows them to hear personalized messages from those they've lost, though it raises ethical questions.
Retool has introduced an AI tool that lets anyone build React apps without coding. This could make custom business tools much more accessible to small teams and startups.
A new research paper introduces the concept of distributed general-purpose agent networks where AI agents can collaborate across personal devices, edge nodes, and autonomous computing environments. This could enable more powerful, flexible AI assistants that work together to solve complex problems by sharing data, tools, and permissions. The paper outlines an open peer-to-peer architecture that allows heterogeneous agents to discover and interact with each other, overcoming the limitations of single-agent systems.
Pramaana Labs has secured $27 million to develop AI systems that can be formally verified for accuracy. This technology aims to eliminate errors in fields like law and drug discovery where mistakes can be costly.
OpenAI has introduced LifeSciBench, a benchmark to test AI systems on real-world life science tasks. It's designed and reviewed by experts to ensure AI can handle complex research decisions accurately.
Researchers have identified a critical flaw in AI reasoning: models often reach the same answer through inconsistent paths. They propose a new way to measure this inconsistency to improve AI reliability.
Researchers found that standard parallel sampling in AI search often leads to repetitive queries. Their new method, DivInit, improves efficiency by diversifying initial queries, reducing redundant work.
Researchers created SpeechDx, a comprehensive benchmark for AI to analyze speech for health conditions. This tool could lead to earlier, more accurate medical diagnoses through simple voice recordings.
MolmoMotion is a new AI model that can predict 3D movements based on text descriptions. It could revolutionize fields like robotics, gaming, and animation by making motion prediction more accessible.
Researchers introduced MemTrace, a new benchmark that evaluates AI long-term memory by tracking individual knowledge points across three controlled dimensions, rather than aggregating accuracy over independent question rows.
Google's AMIE AI system can now manage complex health conditions as well as primary care physicians. This breakthrough could make high-quality medical advice more accessible to everyone.
GLM-5.2 is a new open-source AI model designed to handle long-horizon tasks better than most. It's now available for anyone to use and build upon.
A Hacker News thread reveals how developers choose AI models for daily features like content generation and recommendations. Many focus on cost, speed, and ease of use over cutting-edge performance.
Researchers created a benchmark to test if AI models can handle complex executive decisions. The study simulates real-world leadership challenges, like balancing conflicting advice and managing resources under constraints.
Tech giants are lobbying for a comprehensive federal AI law that would override state-level regulations. While this could simplify compliance, critics warn it may weaken stronger state protections on issues like child safety and algorithmic bias.
Anthropic received a US export control directive on Friday to suspend access to its newly released models, Mythos 5 and Fable 5. The company is now in a tense standoff with the Trump administration, highlighting growing tensions over AI regulation.
A new study tests whether AI language models can discover fundamental mathematical concepts like zero without explicit training, exploring their ability to generalize beyond training data and hypothesize genuinely new mathematical structures.
Researchers developed an AI system that creates digital twins of patients to simulate treatments and optimize care in real-time while adhering to safety constraints. This approach could lead to more personalized and effective medical decisions.
OpenAI and Molecule.one demonstrated a near-autonomous AI chemist using GPT-5.4 that optimized a key reaction in medicinal chemistry. This breakthrough could accelerate drug development by autonomously planning, executing, and analyzing experiments.