Show notes
In this episode of MTS, Steve Coffey joins to discuss the Responses API at OpenAI, how WebSocket integrations improve agent efficiency, and why coding models have made him 10X more productive. Then, Joe Gershenson and Ahmed Ibrahim join to discuss token efficiency in Codex, code mode for reducing tool call latency, and designing harnesses that let models express themselves more fully.
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https://x.com/stevendcoffey
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Timestamps:
(00:00) Introduction
(00:00) What Is Responses API
(00:02) Evolution Of OpenAI APIs
(00:04) Measuring And Optimizing Efficiency
(00:07) Developer Productivity Gains
(00:12) Time Bottlenecks In Agents
(00:17) Token Efficiency And Latency
(00:19) Handling Long Running Tasks
(00:21) Voice Control And Micro
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Note: This podcast is not investment, legal, or tax advice, and is intended for informational and entertainment purposes only. Hosts and guests may hold positions in the companies and securities discussed; do your own research before acting on anything you hear.
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