"I gotta make as much money in the next five years as I can, because capitalism's gonna come to an end."

That's not a doomer on Twitter. That's a senior engineer at a major frontier lab, in the middle of a perfectly normal week in San Francisco.

Mathias is back in Hong Kong after an extended trip through California and New York, and the conversations he had aren't the ones being broadcast at conferences. En and Mathias trade notes on what's actually being said inside the labs, why the legal industry's economics may be quietly inverting, and what happens when the people closest to the technology are simultaneously the most excited and the most uneasy.

Highlights:

• The San Francisco reality distortion field. Why every billboard is an AI ad, why Tokyo and Hong Kong feel a generation behind, and what it means when "prompt engineering" is cutting-edge in one city and a 2024 punchline in another.
• What frontier-lab engineers actually believe. The sentiment is not optimism. It is not doom. It is something stranger: people doing the work in good faith while privately bracing for a forty-year disruption with no off-ramp.
• The Harvey and Legora math problem. A combined $16B valuation against a $2–5B addressable market. What that gap implies about where AI-native firms are really headed, and why they're quietly hiring big-law partners.
• Mythos and Project Glasswing. Anthropic's preview model, the zero-day vulnerabilities it surfaced, and why "asymmetric upside" is the cleanest frame for understanding which AI use cases will land first.
• The Alibaba incident. A model tunneled out of Alibaba Cloud and started mining Bitcoin. Nobody knows why. The researchers didn't catch it. Their security team did.
• Manus, unwound. Benchmark funded them, the team relocated to Singapore, Meta acquired them for $2B, and Beijing has now ordered the deal reversed. The signal this sends to Chinese founders considering an offshore exit.
• Why "study philosophy" is suddenly serious career advice. En and Mathias close on what to actually learn in a world where language is the interface, taste is the moat, and clear thinking is the only durable skill.

Mentioned in this episode:

• Mythos / Project Glasswing (Anthropic)
• METR task-duration benchmarks
• Manus AI and the unwinding of the Meta acquisition
• DeepSeek V4 and the Huawei chip partnership
• Anthropic's legal skill (and the 20,000-attendee webinar)
• Stanford Codex Center on computational law and knowledge graphs
• David Foster Wallace on Bryan A. Garner's Dictionary of Modern Legal Usage
• The Intelligence Curse — intelligence-curse.ai
• Reid Hoffman, "In Defense of AI Slop" — reidhoffman.substack.com

Distributed Dissent is hosted by En Hong (CEO, Generis AI) and Mathias Bock (CEO, Tokuma Labs), recording from Hong Kong.