Topic
Gpt 5 5
2 episodes
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(a) Macro Level average performance profiling.
Vince and Ava dig into SkillOpt-Lite, a paper arguing that skill optimization for agents can be simplified into a minimal pipeline built from trajectory exploration, consensus mining, and independent validation. They focus on what problem it solves, why the authors think the extra machinery in prior systems is unnecessary, and where the production story is real versus still a research move.
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Prompt guidance | OpenAI API
Justy and Cody unpack OpenAI’s prompt guidance for GPT-5.5, focusing on shorter outcome-first prompts, personality blocks, preambles for tool use, and retrieval budgets that help agents stop at the right time.