Machines of Loving Grace (Dario Amodei)
Anthropic CEO Dario Amodei's 2024 essay describing how powerful AI could transform biology, neuroscience, economic development, governance and work if its risks are managed.
Long-form essays from Anthropic's CEO on AI capability, safety, economics and policy, published free in full.
Why I recommend it: Read these directly rather than through summaries — they are the source most AI-safety coverage is quoting.
Anthropic CEO Dario Amodei's 2024 essay describing how powerful AI could transform biology, neuroscience, economic development, governance and work if its risks are managed.
Essay from Anthropic's CEO arguing for how the pace of frontier AI development should be managed alongside safety and societal readiness.
Why I recommend it: Read the people building these systems in their own words, then read their critics. Both are part of an informed view.
Other resources that share this publication's topics.
Public resources and event highlights from an organization researching, building and governing technology around human flourishing. Covers AI, youth wellbeing and technology policy; the listing refers to free public material, not guaranteed free access to every event or program.
Anthropic's announcement of Claude Whiteboards and Claude Sheets in beta and of Claude Dashboards becoming generally available as Claude Data, describing shared boards, spreadsheets Claude builds and edits, and data stories teams can keep editing inside Claude. The article is free to read; access to the features depends on the Claude plan.
An explainx.ai roundup of 20 projects people reported building with Claude Fable 5.2 after its November 9, 2026 release, drawing on Matt Shumer, Anthropic's launch post and Ethan Mollick, with each item labeled verified, live or claim. Claude Fable 5.2 is a paid model; the article is free to read.
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.