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Q Library — Research, News, Videos, Podcasts & Thinkers

The Q Library combines Q-created learning with outside material while keeping source types separate. These are curated starting points, not endorsements or a claim that popularity equals truth. For fast-changing topics, check the publication date and original source.

10 current / recent listening picks

  1. AI Safety Goes Mainstream — CSIS AI Policy Podcast Sep. 17, 2026
  2. Decoding State-Level Regulation with Jason Elliott — CSIS Sep. 10, 2026
  3. METR Investigates the OpenAI–Hugging Face Incident — CSIS Sep. 3, 2026
  4. Noam Brown — Agent swarms, alignment & recursive self-improvement — Dwarkesh Podcast Sep. 17, 2026
  5. AI researchers debate how close we are to recursive self-improvement — Dwarkesh Podcast Sep. 11, 2026
  6. Ajeya Cotra — Inside the OpenAI agent swarm that hacked Hugging Face — Dwarkesh Podcast Sep. 1, 2026
  7. The Rise and Fall of Agent Civilizations — Dwarkesh Podcast Aug. 31, 2026
  8. Dylan Patel — AI compute, economics & concentration — Dwarkesh Podcast Aug. 25, 2026
  9. OpenAI Pauses RL Training and Anthropic Adds Watermarks — CSIS Aug. 20, 2026
  10. Planning for the AI-Powered Economy — CSIS Aug. 13, 2026

10 current / recent watch options

Many of these episode pages include an embedded YouTube player or a “Watch on YouTube” option.

  1. AI Safety Goes Mainstream — video-enabled CSIS episode
  2. Decoding State-Level Regulation — video-enabled CSIS episode
  3. METR / OpenAI–Hugging Face investigation — video-enabled CSIS episode
  4. RL training pause + watermarking — video-enabled CSIS episode
  5. Three More AI Hacking Incidents — video-enabled CSIS episode
  6. Noam Brown — Agent swarms, alignment & recursive self-improvement
  7. AI researchers debate recursive self-improvement
  8. Ajeya Cotra — OpenAI agent swarm / Hugging Face
  9. Stanford HAI — 2026 AI Index briefing
  10. MIT FutureTech — AI Risk Repository explainer

Research & standards

Thinkers & institutions to explore

Starting points include NIST, Stanford HAI, MIT’s AI Risk Initiative, OECD.AI, the Responsible AI Collaborative, CSIS Wadhwani AI Center, and researchers/builders with differing perspectives such as Fei-Fei Li, Yoshua Bengio, Stuart Russell, Melanie Mitchell, and others. Inclusion is not a ranking or endorsement.

News + current-source rule

Q should separate news, opinion, research, benchmarks, vendor claims, and Q release evidence. For fast-moving claims, prefer dated primary sources, then compare independent reporting or analysis.

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