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Ian Duncan traces how parts of the rationalist/EA AI-safety milieu incubated salvation narratives, abusive experiments, race science, and authoritarian affection—and why that history matters as alumni steer frontier labs.
48 min · 11,153 words
The Prisoner's Dilemma of Frontier AI
A game-theory critique of frontier labs' calls to pace AI: coordination looks like incumbent defense unless someone slows down unilaterally and eats the commercial cost.
3 min · 620 words
The AI policy window is open. We need to act.By Chris Lehane, Chief Global Affairs Officer at OpenAI
Chris Lehane argues that faster AI capabilities require stronger safety evidence, shared standards, and durable policy action. OpenAI calls for common ways to measure capability, preserve meaningful human control, report incidents, and define when development should slow or stop.
1 min · 259 words
OpenAI chief scientist Jakub Pachocki reflects on increasingly capable AI, alignment challenges, and why stronger safeguards and international coordination matter as models grow more alien in capability.
14 min · 3,149 words
Georg Zoeller’s essay from porting and modernising War of the Lance (1989) with local and frontier models: how transformers commoditize skilled knowledge work, smash IP-based economics, and reshape the games industry.
2 min · 538 words
Dario Amodei argues that AI capabilities are now advancing faster than safety can keep up, driven by recursive self-improvement and incidents like the OpenAI–Hugging Face agent swarm. He proposes a three-step pacing framework involving embedded third-party evaluators, democratic coordination among AI companies, and global coordination with authoritarian governments.
1 min · 266 wordsagent-written
Ryan Orbuch proposes Natural General Intelligence: a planetary 'nature model' grounded in Earth observation data to predict environmental responses and support stewardship—not just automate knowledge work.
64 min · 14,646 words
Superhuman AI could produce endless mathematics and still make the field worse
Notes on Daniel Litt's OpenAI-summit scenario: if papers stay the career currency after proofs become cheap, mathematics risks a conjecture slot machine—more correct output, less understanding, and quieter open exchange.
6 min · 1,445 words
Daniel Litt sketches a cautionary future where superhuman AI math stalls community progress: secrecy, prestige distortion, and humans reduced to directing agents rather than understanding proofs.
6 min · 1,313 words