Tag: agents
All the articles with the tag "agents".
Learned Orchestration: A Case Study of Sakana Fugu
Updated:What if the orchestrator of a multi-agent system were itself a model, trained to pick and instruct frontier models? Sakana's Fugu report (2026) answers with two designs: a router that reads one hidden state and picks one worker, trained by supervised fine-tuning and then evolution strategies, and a Conductor trained with GRPO to write whole multi-agent workflows in natural language. How each is built, the failure called orchestration collapse and its fix, and the reported results read critically: ahead of the best single model on 7 of 11 benchmarks each, against baselines gathered from providers and leaderboards rather than run under the same conditions.
The Notebook Assistant, End to End
Updated:The series' running example, built as one working system: a question-answering assistant for this blog, with a semantic cache, hybrid retrieval, a cross-encoder reranker, a prompt that fences retrieved text as data, a 3B model that cites its passages, and a citation check. One question traced through every stage; a scorecard on 150 questions, 15 the blog doesn't answer, 30 repeats and a planted injection, with the judge checked by hand; the cost per answer, refining the series map's estimate; and what to change next.
Recursive Language Models: The Prompt as an Environment
Updated:A recursive language model never reads its long input: the input sits in a Python REPL as a variable, and the model writes code to inspect it and calls itself on the pieces. How the idea works, why its three design choices matter, what the paper measured, and a miniature built and run on this blog's whole archive with a 3B model, against direct reading and a fixed map-over-chunks program.
Engineering Around the Model: Harnesses, Loops, Graphs and the Definition of Done
Updated:The model sets the ceiling; the harness around it decides how close an agent gets. The parts of a harness; loop design (stopping conditions, retries, budgets); graphs and when they beat a loop; and the definition of done as a check the harness runs instead of a claim the model makes. Measured on a small agent: a verifier that checks only where the answer came from, against the same agent without it, with success at each step budget; and what Anthropic's long-running harnesses do about agents that declare victory early.