DeepSeek V4 Flash’s Zero-Parameter Breakthrough

from The AI Engineering Podcast · host Jellypod

An update to DeepSeek V4 Flash delivered a huge leap in coding and agent performance without adding any parameters, showing how reinforcement learning and verifiable rewards can unlock latent capability. The episode also breaks down pricing, hidden reasoning costs, prompt caching, and why open weights plus self-hosting are changing how teams deploy AI.

Episode metadata supplied by the publisher feed · Published Aug 1, 2026

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DeepSeek V4 Flash’s Zero-Parameter Breakthrough

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