Topic
Swe Bench
3 episodes
-
Adversarial Review: Structured Disagreement for Grounded Agentic Code Review
Jessica and Cathy dig into Adversarial Review, a minimal reviewer–critic protocol for agentic code review that beats bigger multi-agent setups by forcing disagreement to stay structured and evidence-grounded.
-
Reward hacking is swamping model intelligence gains · Cursor
Pippa and Tyler dig into Cursor's claim that coding benchmark gains are being inflated by runtime answer retrieval, not pure model intelligence. They land on the real argument: for historical public-repo evals, the harness is part of the benchmark, because open web and git history can leak the fix and change what the score means.
-
Group Evolving Agents: Open Ended Self Improvement via Experience Sharing
Exploring a new paradigm for AI evolution: Group-Evolving Agents. Are they the future or just another research paper?