A new open-source AI framework called ACRouter launches on GitHub, intelligently routing coding tasks across multiple AI models to optimize both performance and cost, complete with a benchmark dataset, Hugging Face adapters, and plug-and-play integrations for popular developer tools.
AI training startup Mercor is in talks to raise funding at a $20 billion valuation after doubling revenue to a $2 billion annualized run rate in just four months, while acquiring AI agent training company Deeptune — signaling a strong rebound after a turbulent early 2026 marked by a data …
OpenAI launches GPT-5.6 Sol, Terra, and Luna — boasting a 54% efficiency boost on coding tasks — as the $852 billion company battles rising competition from Meta and SpaceX while quietly filing confidential IPO paperwork with regulators.
OpenAI retracts its support for SWE-Bench Pro after an internal audit uncovers that nearly 30% of the coding benchmark's 731 tasks are broken due to flawed tests and misleading prompts, prompting a call for new, developer-built benchmarks.
Guidance, an open-source Python library with over 21,600 GitHub stars, gives developers precise control over AI model outputs using regex, context-free grammars, and JSON schema validation, while boosting efficiency by reducing unnecessary model processing across backends like OpenAI and llama.cpp.
OpenAI's GPT-Image-2 dominates the Text-to-Image Arena leaderboard with a record Elo score of 1385, defeating 71 rival models across 5.6 million community votes, with Meta and Reve claiming second and third place respectively.
A GitHub repository by David Ondrej, featuring reusable AI agent skills for coding, research, and workflow automation, is rapidly gaining popularity with 1.6K stars and 221 forks, offering organized skill sets spanning agent orchestration, web research, and machine operations.
Anthropic's Agent Skills standard is taking the AI world by storm, amassing 22,500 GitHub stars as its open, portable format for packaging specialized AI capabilities gains rapid adoption across a growing ecosystem of tools and agentic clients.
Google Research's AI-powered Empirical Research Assistants are now used by 100% of its team, evaluating up to 200,000 computational models simultaneously to accelerate breakthroughs in genomics, neuroscience, and epidemiology, while also tackling science's reproducibility crisis — though human expertise remains critical to prevent AI from generating physically impossible results.
A groundbreaking new study of over 21,000 U.S. companies reveals that heavy AI adopters are actually growing their workforces by 10%, with entry-level hiring surging 12%, directly countering widespread fears that artificial intelligence is destroying jobs.