Jeff Dean离职后首次公开访谈火力有点猛。。。

TL;DR - In his first public interview after leaving Google, Jeff Dean reflected on Gemini and TensorFlow’s shortcomings and outlined Discovery Loop’s goal of automating scientific and engineering experimentation with AI. He argues that faster, agent-driven experimental loops could dramatically accelerate discovery while introducing serious cybersecurity risks.

• Dean said Gemini’s native multimodality was a strong early choice, but its coding capabilities received serious attention too late; improving coding also strengthened broader reasoning.
• He identified TensorFlow’s lack of initial eager execution and its confusing contrib ecosystem as two major design mistakes.
• Discovery Loop plans to use models, agents, and multi-agent systems to decompose research problems, run thousands of experiments, evaluate results, and iteratively choose better experiments.
• Dean believes AI may already match or exceed top human cyberattackers, making the technology valuable for both vulnerability discovery and malicious exploitation.