Full-text search across article titles and summaries. Refine with sector, year, content type, and reading-time filters.
Every engineering department at OpenAI uses Codex daily. They emphasize fully utilizing Codex's features, not just talking to it like a chatbot: use “Ask Mode” before switching to “Code Mode,” put time into maintaining AGENTS.md files for persistent context, and use the task queue as a lightweight backlog.
Mathematicians have for centuries tried to develop complex equations to describe the fundamental physics involved in fluid dynamics. However, experts can still carefully craft scenarios that can make theory go against practice, creating scenarios that could never physically happen. These situations, also known as 'singularities', help mathematicians identify fundamental limitations in the equations of fluid dynamics and help improve their understanding of how the physical world functions. Researchers recently published an entirely new family of singularities in some of the most complex equations that describe fluid motion. Their approach presents a new way to leverage AI techniques to tackle longstanding challenges in mathematics, physics, and engineering that demand unprecedented accuracy and interpretability.
Project Go-Big aims to build the world's largest humanoid pretraining dataset. It is training robots directly from human video data. Its humanoid robots learn navigation end-to-end using only human video. Examples of the videos the robots are training on are available in the thread.
While progress has been made in DNA storage, the technology is still many decades away from competing with the hard disk. The research isn't a waste of resources, as it will eventually be feasible and economic. Time-scales in the storage industry are long. Bandwidth and cost remain the core problems of DNA storage.
Sponsored
Join Snowflake's Ryan Campbell and Metronome CEO Scott Woody for a deep dive into Snowflake's monetization model—and how it's being
Gemini users can now share custom-built automations and workflows with others.
Ashish Kumar, a Ph.D. in artificial intelligence from the University of California, Berkeley, led Tesla's Optimus AI team for more than two years.
Perplexity's Enterprise Max is a new AI offering that combines its Max features with enterprise-grade security and control.
An agent is simply an LLM that runs tools in a loop to achieve a goal.
OpenAI convened a council of college students to develop prompt ideas for schoolwork, career development, and life advice.
The Chrome Gemini integration, which includes new agentic capabilities like booking appointments and ordering groceries, is now available to all US desktop users.
Sponsored
In today's AI boom, shipping fast gets attention—but building trust gets results. Startups now face higher expectations earlier than ever, with investors demanding clean financials and enterprise buyers requiring strong security before deals close.
OpenAI is preparing to introduce a new 'Orders' section in ChatGPT settings that will let users add credit cards directly to ChatGPT for streamlined purchases. The feature will likely benefit frequent ChatGPT users who purchase plugins, digital goods, or services through the platform. OpenAI is also working to bring parental controls to the ChatGPT web interface. The additional checkout and parental controls align with broader industry trends to turn AI chat platforms into daily utilities with payment, safety, and management features built in.
Major AI labs are ramping up spending on reinforcement learning environments, with Anthropic reportedly considering over $1 billion next year, shifting from static datasets to interactive simulations where agents practice tasks like web browsing. Startups are crowding into the space to compete with established human-generated data vendors like Scale AI for what could become the next critical infrastructure for AI development.
Chinese tech giants are largely avoiding Nvidia's new RTX6000D AI chip, specifically designed for them to satisfy US export restrictions, because they're able to get more performant, banned Nvidia chips for half the price through the grey market.
ARC-AGI is an intelligence test designed to measure abstract pattern recognition. Humans are able to readily solve the puzzles on the test, but large language models struggle significantly. This post discusses how an AI researcher was able to achieve a new high score of 79.6% on ARC v2 at $8.42 per task and 29.4% on ARC v2, a new state-of-the-art.
AI companions will become more enjoyable to talk to than humans due to financial incentives to optimize them as such and the lack of human constraints (like needing to sleep or having off days). Eventually, these omniscient-seeming life coaches will be omnipresent through wearable devices that most people will use for advice on all kinds of decisions while maintaining an illusion of control. Current LLMs already provide better high-level life guidance than the median person.
Sponsored
The team that released the Kimi K2 model achieved RL parameter updates for 1T parameter models in approximately 20 seconds. This post looks at how the team significantly optimized a key efficiency bottleneck in RL end-to-end training time. The team encountered many challenges along the way to implementing efficient parameter updates - the post shares some of the problems and solutions to those problems.
The registry includes one-click installation in VS Code and integrates with GitHub Copilot.
User questions focused on pricing tiers, IDE support beyond VS Code, mobile app integration, and concerns about developers becoming "prompt monkeys" as automation advances.
OpenAI is developing technology to detect if a user is under 18 so it can apply stricter content policies. The system will default to teen settings when uncertain about age, and allow for new parental controls like setting usage limits and receiving notifications about distressing content.
Sponsored
Rafay removes infrastructure bottlenecks with orchestration and automation. Deliver self-service GPU access, accelerate AI workloads, and keep costs under control, so teams innovate without waiting.
Google's Learn Your Way transforms traditional textbook content into dynamic formats like mind maps, quizzes, and audio lessons using LearnLM.
YouTube's new auto-dubbing feature translates videos into other languages and uses lip-syncing to match the speaker's mouth movements.
Google enhanced its Gemini products by adding audio file support to the Gemini app and integrating five new languages into Search's AI Mode.
Claude Sonnet 4 is now integrated into Xcode 26, providing Apple developers with natural language coding assistance, documentation generation, and inline code edits.
→ One API for queries, aggregations, and transformations
Sponsored
Adding AI features shouldn't mean duct-taping together operational databases + vector stores + analytics. MongoDB Atlas does all of the above [4] plus full-text search, real-time data, and stream processing.
OpenAI upgraded its Codex agent with GPT-5-Codex, a new model capable of dynamically allocating compute time per task, ranging from seconds to hours, leading to better performance on complex coding benchmarks.
As part of restructuring into a for-profit company, OpenAI said it expects to keep an additional $50 billion by reducing its revenue share with Microsoft, which was originally introduced as a concession in exchange for exclusive use of Microsoft's cloud servers.
Reve has launched a new image creation platform that combines an image creator, a drag-and-drop editor, a creative assistant, and an API. The platform uses a unique Layout Representation to enhance precision, bridging language and vision for seamless editing. Users gain granular control over visual elements, enabling more intuitive image manipulation.
Instead of random hash IDs, this experiment embeds semantically meaningful item tokens into an LLM, enabling natural language recommendations and interpretable, chat-based interactions.
Harvard's PDGrapher AI model identifies gene-drug combinations that could restore healthy cell states, targeting diseases like Parkinson's and Alzheimer's. The tool accelerates drug discovery by predicting viable pairings and providing mechanistic insights. This aligns with a trend of using AI in biotech, where models like AlphaFold revolutionize scientific research.
Sponsored
Are you in pilot purgatory or production-ready? This Roadmap will help you figure out where your organization stands [10] and what it will take to move forward. It includes a practical model to assess AI maturity across five critical dimensions: vision, people,
Meta's internal collaboration with vLLM and PyTorch introduces prefill/decode disaggregation, boosting large-scale LLM inference performance in production with improved throughput and latency.
RustGPT is a complete large language model implementation in pure Rust with no external ML frameworks. The project demonstrates how to build a transformer-based language model from scratch in Rust. It was built from the ground up using only ndarray for matrix operations - no PyTorch, TensorFlow, or Candle. The model uses a transformer-based architecture.
HuMo unifies human-centric video generation across multimodal inputs by introducing a new dataset and a progressive training strategy, achieving audio-visual synchronization.
Nvidia's Rubin CPX is a specialized accelerator built specifically for the 'prefill' stage of AI inference. It is tuned for dense compute with far less bandwidth than a general-purpose GPU. Rubin CPX uses less expensive GDDR7 memory and skips high-bandwidth features like HBM and NVLink, so it is estimated to cost around a quarter as much to manufacture as the standard Rubin R200. Its release may force industry rivals to rethink their hardware strategies or risk falling further behind Nvidia's lead in AI infrastructure.
Sponsored
Immersed ($22M raised) is re-inventing how work happens. It's pioneered the most popular XR work app, a Visor built for all-day comfort, and an AI agent that handles the busywork. Become an investor
OpenAI released a large-scale study of ChatGPT usage that highlighted reduced demographic gaps and growing economic value.