Archive

The new tools let AI agents pull live web content directly through code, without building their own web crawlers.

A new open-source tool from Google Research lets agents get better at tasks by tweaking their setup instead of their core model.

The team behind Anthropic's coding agent says Claude now catches most routine mistakes before a human ever looks at the code.

Using Anthropic's coding tool on a data-harvesting website shows how autonomous AI agents handle real-world tasks.

The new model reads text and images to answer questions with probabilities instead of generating text, cutting costs for developers.

The open-source model combines text, image, video, and coding into one agent-ready system that runs on a single GPU.

Konnect is a free open-source plugin that lets an AI assistant place components, route circuits and export manufacturing files directly inside KiCad.

A new budgeting app downloads AI models to your machine so your financial questions never leave your computer.

A new hybrid architecture boosts speed and accuracy by mixing two kinds of AI designs.

The Rosalind Academic Plan offers eligible labs up to 30 free seats to access OpenAI's life sciences model for up to 12 months.

A Rust rewrite of Graphify runs on your own machine and helps Claude and other AI coding assistants understand your project.

The AI educator used Claude Opus 5.5 to create a game where two phones exchange moves through sounds played through the microphone.

The 6-billion-parameter image-to-image model from Black Forest Labs is now available through the popular open-source library.

A new training framework lets AI agents improve on their own without a stronger teacher model guiding every step.

A blogger proved that 'vibe coding' can produce a surprisingly polished Three.js game in just one conversation.

A paper introduces DoSA, which finds important tokens faster using bounds instead of full calculations.

His new tool lets you edit files in a folder straight from your browser, with help from Claude Opus 5.5.

The Forecasting Company released T0, a small but powerful foundation model that produces probabilistic forecasts for everything from electricity demand to drug reimbursements.

The developer behind the popular llm plugin adds Google's latest low-cost model, which promises strong performance at a fraction of rival prices — at least until December.

A new communication method cuts the data-hauling bottleneck in large AI training by sending just 4 bits at a time, without breaking model quality.

Simon Willison updated his llm-meta-ai tool to work with Meta’s latest top-tier reasoning models.

Researchers use machine learning to correct forecast errors, doubling accuracy for the difficult two-to-six-week range that matters for emergencies and energy planning.

The latest model helped Chrome engineers complete months of work in weeks while climbing the top of benchmark rankings.

Developers are rethinking how games are built so large language models can actually help create them instead of falling apart.

Researchers have created a unified method that cuts and combines parts of large AI models, saving memory and speeding up answers while keeping accuracy high.

OpenAI data shows businesses are moving beyond chat to let AI plan and complete tasks, though growth remains uneven across the bloc.

Anthropic replaced Git with a custom tool called Scion after its daily code merges jumped from 2,500 to over 30,000 in just four months.

MIT researchers show neural networks can self-organize their own learning rules, possibly mirroring how brains learn.

Microsoft is creating a new team to experiment with the wave of AI-generated game remixes, decompiles, and cross-platform ports that modders have been sharing online.

Researchers created a holographic neural network that uses light instead of electricity to run several AI jobs simultaneously — no hardware changes needed.

The new 24-billion-parameter reasoning model runs 1.7 times faster than rivals on edge hardware.

Meta's newest models claim frontier-level performance on agent tasks and will soon power its Muse AI assistant.

SpireBench shows that top AI models can match average human players in a card game but still struggle with long-term strategy and risk-taking.

The robotics-focused Gemini 4 Argon model scores 87% on a hard 3D reasoning benchmark and controls Boston Dynamics Spot in real-world manipulation tasks.

The new frontier model from Google DeepMind is already helping engineers and scientists tackle months of work in weeks.

A new multi-agent framework helps AI systems generate smarter training data by identifying and fixing their own weaknesses.

A new lightweight language model lets players talk to in-game characters that respond in real time, running locally on consumer hardware.

A new elastic reinforcement learning system lets AI coding agents run for hours while still training efficiently on expensive GPU hardware.

The tech giant enters the top-tier AI race with two new models built for complex tasks and personal agents.

The OpenAI co-founder says fewer people understand what modern language models can do as usage splits into distinct tiers.