Lenny 播客新一期上线，WorkOS 与 Mercury 赞助

The practical detail most coverage skips is her advice to rewrite accumulated workaround rules after every model upgrade — stale prompts can actively suppress new abilities. Product managers and team leads building on frontier models can start with her 5-20 prompt eval method to build their own quality bar instead of relying on leaderboards. The 60/20/20 framing offers a reusable allocation template for roadmap planning under model uncertainty.

shao__meng@shao__mengSource

The takeaway is that sandbox hardening was done at the network layer, and the vendor explicitly treats escape testing as ongoing because stronger models may find new routes. Teams building or evaluating agent execution environments should track the full research post for technical details and re-audit their own network policies. The work signals that agent security benchmarking is shifting from one-off audits to continuous testing as model capabilities improve.

Official accountPerplexity@perplexity_aiSource