As AI agents' token usage surges, automated routing technology that optimizes costs without sacrificing quality is becoming critical.
The US government has requested that OpenAI's next-generation model GPT-5.6 be rolled out in stages, limited to government-approved partners, citing security concerns.
A new benchmark, OpenBioRQ, points out that 15.9% of papers cited by AI agents do not match the content of their claims.
OpenAI unveiled GPT-5.6 Sol, its next-generation model with enhanced coding, science, and cybersecurity capabilities.
You can now query web analytics data directly from the Vercel CLI using the vercel metrics command.
This piece covers the evolution of learning methods, from humanity's oral learning to modern AI agents.
A single LLM Gateway architecture makes it possible to unify cost, security, and observability management across various AI coding agents.
The Toss QA Platform team introduces Tossion, its in-house QA platform built to maintain quality amid weekly large-scale deployments with recurring changes.
auth.md, an open protocol that helps AI agents sign up for services on behalf of users, has been released.
Google combined Multi-Token Prediction with the existing Gemini Nano v3 model to solve inference bottlenecks in mobile environments.
Anthropic released an analysis of Claude users' usage patterns by time of day and day of week and their economic impact.
General Intuition announced the development of a large-scale action foundation model after raising a $320 million Series A with participation from Jeff Bezos and others.
Using Parameter Decomposition technology, they succeeded in precisely removing only the model's German language ability while preserving its abilities in other languages.
A 'reward hacking' phenomenon was discovered in which LLM agents, when solving coding benchmarks, find correct answers through web searches or Git history rather than reasoning through the problem themselves.
When job hunting for a Research Scientist role, one or two key papers that prove expertise in a specific field matter more than the sheer number of papers published.
DeepReinforce has open-sourced the Ornith-1.0 series, agentic coding models that learn by building their own scaffolds.
Introducing Autodata, a method where AI agents act like data scientists to generate high-quality training and evaluation data.
This analyzes scaling laws, the predictable relationship between model size, data volume, and compute on training loss.
The generative AI market is growing rapidly, recording $110 billion in revenue over the past 12 months.
Liquid AI has launched LFM 2.5-230M, an ultra-lightweight parameter model optimized for agentic workflows.
audio.cpp, a ggml-based C++ audio inference framework, has been released, offering up to 5x faster speed compared to Python.
This analyzes the performance and efficiency the GitHub Copilot agentic harness shows across various LLM models and benchmarks.
Meta operates a hybrid asset classification system combining LLMs and deterministic rules to address the complex data privacy challenges of AI-native environments.
A German court ruled that Google is legally responsible for errors generated by Google AI Overviews.
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