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In the News: September 24, 2026 (Extra 2)

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Also this cycle Permalink Browserbase (Stagehand)

Browser Agent Evals

updated Sep 3, 2026. A public leaderboard runs 15 model-and-harness combinations against one fixed benchmark. Holding the model constant, Claude Opus 5 alone ranges from 71 to 78 percent accuracy depending on which harness runs it, claude code, deep agents, eve or fx, which is evidence that harness choice moves accuracy on its own. The cheapest combination, GPT-6 Luna on Codex, reaches 74 percent accuracy at $0.0225 a task, against $0.51 a task for the top-accuracy combination, Claude Opus 5.5 on Claude Code at 89 percent. Browserbase invites others to run the same harness against their own models.

Also this cycle Permalink Tony Chang, InstaCloud (InsForge)

A Million Agents Is a Distributed Systems Problem

Sep 2, 2026, recirculated on Hacker News Sep 24. Chang argues a fleet of agents should be scheduled and recovered like a distributed system, not treated as a bigger brain. He cites a 180-configuration Google Research study in which a centralized orchestrator held error amplification to 4.4 times versus 17.2 times for agents working independently, and ACL 2026's Silo-Bench, where agent teams working on distributed reasoning tasks fell to zero percent success at 50 agents on the hardest tier and stayed there at 100. His prescription: keep goals, plans and checkpoints durable outside any single agent, so a coordinator can fail and be replaced without losing the work.