• AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
• multi-agent — Using several AI agents on one problem — splitting work in parallel, checking each other, or filling different roles like planner and reviewer.
• grounding — Tying a model's answers to checkable sources — retrieved documents, live data, tool results — instead of letting it answer from memory alone.

StepFun's research agent runs one planning loop with cross-source verification instead of a multi-agent stack, grounded in a 20M paper index, with beta API access, open code and a technical report.

• postvLLM gains an experimental Attention-FFN disaggregation plugin for MoE
• postOpenRouter free tier for Step 3.5 Flash jumps to 10K calls a day
• article👏🏻Congratulations！Step3-VL-10B was selected for HuggingFace Daily Papers…
• postStep-Audio-R1.1 opens weights for a speech model that reasons in real time

• postDeep Research is rebuilt as a skill inside the agent harnessPerplexity
• article➤ Leaderboard: ➤ Methodology: ➤ Stirrup, our open-source agent harness: Search AArtificialAnlys
• postSearch as Code: let the model write retrieval instead of calling toolsPerplexity

Checking sign-in…

Loading comments…