Provides critical analysis for AI builders navigating the security vs. openness debate and its policy implications.
Argues that current cyber risk discussions about open-weight AI models are flawed, criticizing Anthropic's recent report and calling for more nuanced policy considerations of trade-offs.
Open-weights, ideology, and acknowledging trade-offs.
Ethan Mollick predicts AI will enable systematic re-evaluation of all published research and accelerate scientific discovery beyond human absorption capacity.
Critique of LessWrong's intellectual influence on AI, arguing the community that shaped AI thinking has conceptual flaws despite its members' roles in frontier labs and alignment research.
Ethnography of 1990s copier technicians shows work is more complex and improvised than assumed, challenging simplistic AI replacement narratives despite eventual automation.
Simon Willison shares Michael Lynch's advice against AI-generated blandness in software blogging, urging developers to write with personality.
An outside analyst examines why AI warning shots occurred and argues that dismissing AI x-risk as sci-fi is becoming increasingly untenable.
