Copilot's $750 Bill, DeepMind Exodus & China's 1.6T Model
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(00:01:05) Google DeepMind Talent Exodus
(00:02:03) Meituan 1.6T Parameter Model Claim
(00:02:43) Pentagon War Force AI Recruitment
(00:03:15) Generative AI Revenue and Agent Economics
(00:04:01) Cursor iOS and What Comes Next
The first full month of GitHub Copilot metered billing is in, and some developers are staring at invoices between $750 and $3,000 — a stark jump from the $29–$50 flat-rate era. Today's briefing unpacks why agentic workflows consume roughly 1,000 times more tokens than standard chat, and what that means for every AI coding tool on the market.
At Google DeepMind, the talent story is accelerating. At least six senior researchers have departed since February, including AlphaFold co-creator John Jumper, who has joined Anthropic. Pre-IPO equity windows and a widening gap in AI-authored code rates — Anthropic at roughly 100%, Google at 50% — are driving both the exits and a structural reorganisation of DeepMind's AI coding teams.
China's Meituan has open-sourced a claimed 1.6 trillion-parameter model trained on domestic silicon under Apache 2.0. If independently verified, it represents a meaningful challenge to US export control strategy. Independent benchmarking has not yet confirmed the performance claims.
Elsewhere: the Pentagon's War Force initiative is pulling hundreds of AI engineers into two-year government deployments, tightening an already constrained talent pool. Generative AI hit $110 billion in revenue this year, scaling three times faster than the early internet. And Cursor has entered public beta on iOS, making mobile-native agent management a serious infrastructure story.
Google DeepMind is committing $10 million to multi-agent safety research covering coordination failures and prompt injection — because deployment is already outpacing the safety map.
This episode includes AI-generated content.
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