Scott Alexander's free long-form blog on statistics, medicine, forecasting, AI risk and how to reason carefully about contested claims.
Why I recommend it: Read it for the reasoning habits rather than the conclusions — the posts on evaluating evidence are useful in any field.
October 2026 essay by Scott Alexander (Astral Codex Ten) addressed to psychologist Steven Pinker, responding to Pinker's views on AI risk and laying out the author's counterarguments.
Other resources that share this publication's topics.
A KDnuggets guide by Vinod Chugani that goes round by round through current data science hiring processes, including AI-assisted coding rounds and generative AI evaluation questions, and lists ways candidates can prepare.
A Built In survey of job seekers on how AI tools shape which employers they find and consider. Among respondents who use AI for employer research, 66% say they applied to a company they had not considered and 53% say they decided not to apply somewhere because of what AI showed them. Built In sells employer branding services.
Artificial Analysis reports Muse Ember benchmark scores and task-cost estimates, including an Intelligence Index score of 36 and $0.14 per task in its evaluation. These are evaluator-specific results, not a verified Meta launch announcement or evidence of free model access.
Epoch AI explains an Inference Performance Index for estimating chip capacity across agentic workloads and output-speed requirements. Its modeled comparisons, expressed in GB300 equivalents, depend on workload and hardware assumptions and are not universal real-world performance guarantees.
OpenAI announces that organizations can purchase ChatGPT Enterprise through AWS Marketplace using existing procurement and billing arrangements. The announcement is freely readable; ChatGPT Enterprise is a paid service, not a free tool.
Anthropic announces Claude Fable 5.2 and Mythos 5.2 and reports improvements in coding, reasoning and vision and outputs up to 30% faster than 5.1. The announcement is free to read, not free model access: listed API prices are $8 per million input tokens and $40 per million output tokens; Mythos requires organizational verification.
