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AI regulation: top 10 players and entities

  • structure and connect the ~10 most important things shaping AI regulation right now

  • examples could include things like EU AI Act, Trump AI executive order, Biden executive order 14110, Claude's constitution, Public First Action, Leading the Future, NIST AI Risk Management Framework, UK AI Safety Institute, China's interim measures for generative AI, OECD AI Principles etc.

for each entity: what it is, who's behind it, when it happened, what it affects, and how it connects to the others.

AI incidents and failures: top 20 documented cases

  • document roughly 20 of the most significant real-world AI failures, harms, or public breakdowns

  • use News event, link to AI model and Company involved

  • prioritize cases that changed public opinion, triggered regulation, or revealed a new failure mode

  • good starting sources include the AI Incident Database and AIAAIC Repository

  • Prompting: best resources and leaders

  • up to 20 research papers that are most important for prompting and most relevant right now

  • up to 10 best books on prompting

  • up to 20 most important companies, labs, and people who are primarily focused on prompting and are widely recognized as leaders in the field

  • use Research study, Book, Person, Company, Project

  • the curator decides what qualifies as "most important" — these are target numbers, not hard requirements

  • AI safety organizations: top 20

  • the ~20 most important organizations, labs, and research groups whose primary focus is AI safety and alignment

  • include who funds them, what approach they take, key people, and how they relate to each other

  • could range from dedicated labs like MIRI and ARC to safety teams inside frontier companies — curator decides what counts

  • foundational AI papers: top 30

  • roughly 30 research papers that had the most impact on how AI actually works today

  • think things like Attention Is All You Need, the original transformer paper, RLHF, scaling laws etc.

  • for each: what it introduced, who wrote it, where was it published, why was it monumental.

  • AI benchmarks and evaluations: top 15

  • the ~15 most widely used benchmarks for evaluating AI models right now

  • for each: what it measures, where it's strong, where it's week who maintains it

  • this is one of the most looked-up things in AI and currently no structured resource connects benchmarks to the models that use them

  • AI investors and funding: top 20 deals

  • roughly 20 of the largest and most consequential AI funding rounds and investments

  • link Company, Person, and amounts — show who's funding what and how the money flows

  • the curator decides what counts as "most consequential" — size alone isn't enough, strategic impact matters.

  • AI agents: top 20 products and projects

  • the ~20 most important AI agent products and projects that exist right now

  • agents are the current frontier of AI deployment and nothing structures who's actually shipping what

  • for each: what it does, who built it, what models it uses, and what stage it's at