From GPT-3 to Agentic Sandboxes: A History of AI Evaluation
natolambert · x · 2026-08-06
Nathan Lambert shared an in-depth lecture video on AI evaluation, systematically tracing the evolution of post-training model evaluation.
Key points of the lecture:
- Evolution: Reviewed the shift from testing early models like GPT-3 as elaborate autocomplete to today's complex agentic sandboxes.
- Agentic Evals: Highlighted the methodologies and challenges in evaluating autonomous agents.
- Trust & Gaming: Analyzed how evaluation benchmarks can be gamed and the actual credibility of these numbers in practice.
Related event: Evolution of AI Evaluation: From GPT-3 to Agent Sandboxes(3 posts)→
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