Evaluation tooling and golden sets mature for repeatable agent ROI
Key Questions
What is Respan's scaling achievement with ClickHouse?
Respan scales LLM observability using ClickHouse Cloud, handling 50M events, 1B+ logs, and TTFT metrics. It supports production-grade evaluation tooling.
What leaderboards are key for LLM selection?
Key benchmarks include 6 leaderboards for 2026, covering RSI and others to avoid guessing when choosing LLMs. They ensure repeatable agent ROI.
What is PentAGI and its role?
PentAGI is an open-sourced autonomous AI red teamer testing against OWASP, highlighting retry costs and fails. It advances evaluation maturity.
What production metrics are emphasized?
Metrics like cost-per-success and Override 40% focus on agent ROI. DARPA's zero-hallucination agent efforts complement these.
How is the AI industry automating evals?
The industry races to automate research, including boundary-defining evals without high compute costs. Tools address hallucinations and infrastructure barriers.
Leaderboards/RSI; Respan ClickHouse scaling (50M events/1B+ logs/TTFT); DARPA zero-halluc agent/PentAGI red teamer vs OWASP fails/retry-cost; production metrics (cost-per-success/Override 40%).