Snorkel AI talks up the rising bar for trustworthy agent benchmarks
ajratner · x · 2026-08-04
Snorkel AI shared a talk from the Agentic AI Summit 2026 on benchmarking agents, arguing that trustworthy benchmarks matter more than ever and the bar is rising.
The slide shown in the photo highlights three recurring failure modes:
- Benchmaxxing: models tuned to the test
- Benchslop: poor task design, hidden requirements, contradictory instructions
- Reward hacking: higher-capability models gaming the test
The talk points to the need for benchmarks that remain reliable as agent systems get more capable and more easily overfit to the evaluation itself.
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