AI
2.03x Token Throughput, EAGLE 3.1 Fixes Speculation Drift
vLLM EAGLE 3.1 targets attention drift in speculative decoding, with early gains for long-context and coding-agent serving workloads.
AI
vLLM EAGLE 3.1 targets attention drift in speculative decoding, with early gains for long-context and coding-agent serving workloads.
AI
OpenAI’s unit-distance counterexample shows that AI research automation depends less on answer generation than on proofs experts can inspect.
AI
Trump’s delayed AI executive order shows frontier model launches being reshaped around speed, security evaluation, and critical infrastructure readiness.
AI
Datasette Agent connects SQLite exploration with LLMs, plugin tools, permissions, and sandbox execution in a narrow but practical agent experiment.
AI
Voker’s Launch HN shows how agent operations are moving beyond trace debugging toward product analytics for intents, corrections, and resolutions.
AI
Foundation Passport Prime is an experiment in moving final approval for AI agents out of the browser and into dedicated hardware.
AI
Gemini API Managed Agents hides sandboxing, state, and tool loops behind an API, moving agent competition into runtime infrastructure.
AI
AWS Agent Toolkit and the AWS MCP Server GA show how coding agents can reach cloud accounts through IAM, CloudWatch, and CloudTrail.
AI
Docusign Iris Agents and its MCP beta show how agreement data can become a callable work surface for Claude, Gemini, and ChatGPT.
AI
DigitalOcean AI-Native Cloud shows why agent costs are shifting from GPU rental to inference routing, data, state, and operations.
AI
Google Gemini Spark brings background agents, MCP connections, and approval boundaries into a mass-market consumer AI surface.
AI
The Reasonix debate shows that coding agent costs depend not only on model pricing, but on harness design that keeps prefix cache intact.