Shawn Wang on Full-Duplex Models and AI Extinction
Shawn Wang explains why full-duplex interfaces and continuous learning will replace turn-based chat, and why AI extinction risks remain real.
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Shawn Wang sits down with Galen Gao ahead of the inaugural AI Engineer conference in Shanghai to discuss the origins of the AI Engineer movement, the dynamics of Chinese versus American AI builders, and the implications of coding agents on the software industry. They explore how AI agents threaten mid-tier B2B SaaS, the paradigm shift toward System 1 inline decision models like Jev, and emerging interaction frontiers like full-duplex communication and AI safety.
Shawn Wang explains why full-duplex interfaces and continuous learning will replace turn-based chat, and why AI extinction risks remain real.
Shawn Wang explains why technical founders must bring go-to-market into day one and define taste by what competitors steal.
Shawn Wang explains how anchoring builders to market-backed job titles created the AI Engineer movement and why practical tooling beats model research.
Shawn Wang explains why San Francisco is stuck in a B2B SaaS bubble while Chinese builders outwork Silicon Valley using raw open-source tools.
Shawn Wang explains how Diego's Typesafe and Jev replace slow chat wrappers with fast inline decision models inside your code.
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