Official Datasets
General #
- AI 2027 – Daniel Kokotajlo, Scott Alexander, Thomas Larsen, Eli Lifland and Romeo Dean “predict that the impact of superhuman AI over the next decade will be enormous, exceeding that of the Industrial Revolution.”
- Situational Awareness: The Decade Ahead – Leopold Aschenbrenner’s 165-page essay ( pdf) arguing that AGI will arrive by 2027 and trigger an intelligence explosion leading to superintelligence.
- The Adolescence of Technology: Confronting and Overcoming the Risks of Powerful AI –
- AI isn’t replacing radiologists – Radiology combines digital images, clear benchmarks, and repeatable tasks. But demand for human radiologists is at an all-time high.
Stats #
- AI Model Rankings – Based on real usage data from millions of users accessing models through OpenRouter.
- Artificial Analysis – Artificial Analysis is an independent AI benchmarking & analysis company.
Frontier Firms #
Ethical and philosophical #
- “AI as Normal Technology” by Arvind Narayanan and Sayash Kapoor. Abstract: “We articulate a vision of artificial intelligence (AI)** as normal technology. To view AI as normal is not to understate its impact—even transformative, general-purpose technologies such as electricity and the internet are ’normal’ in our conception. But it is in contrast to both utopian and dystopian visions of the future of AI which have a common tendency to treat it akin to a separate species, a highly autonomous, potentially superintelligent entity.”
- Introduction to AI Safety, Ethics, and Society
- The Biosecurity Handbook – This handbook covers biosecurity fundamentals and how AI is changing biological risk.
Regulatory frameworks #
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Existing Authorities for Oversight of Frontier AI Models A list of current laws and their applicability to frontier AI models.
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Some resources for when you want to regulate.
This database tracks legal decisions in cases where generative AI produced hallucinated content, typically fake citations, but also other types of arguments.
It creates a regulated pathway for AI based medical practitioners. It includes a sandbox and associated provisional license with pathways toward fully autonomous medical practice:
https://ciceroinstitute.org/research/ai-medical-services-act/
Substacks of note #
- Hyperdimensional – “A newsletter about emerging technology and the future of governance” from Dean W. Ball.
- Understanding AI – Tech journalist Timothy Lee’s outlet focused on AI.
- Don’t Worry About the Vase – Zvi Mowshowitz’s commentary about “AI, policy, rationality, medicine and fertility, education and games.”
- ChinAI – “Jeff Ding’s weekly translations of writings from Chinese thinkers on China’s AI landscape.”
- Import AI – “Import AI is a weekly newsletter about artificial intelligence based on detailed analysis of cutting-edge research” by Jack Clark, CEO of Anthropic.
- Second Thoughts – Steve Newman’s
- Dwarkesh Podcast – See especially Marantz’s “ Among the AI Doomsayers” and Bordelon’s “ AI doomsayers funded by billionaires ramp up lobbying.”
Congressional Research Service (CRS) reports #
- Artificial Intelligence (AI) in Health Care (December 30, 2024)
- Artificial Intelligence and Machine Learning in Financial Services (April 3, 2024)
- Artificial Intelligence in the Biological Sciences: Uses, Safety, Security, and Oversight (November 22, 2023)
- Artificial Intelligence: Overview, Recent Advances, and Considerations for the 118th Congress (August 4, 2023)
- Artificial Intelligence: Background, Selected Issues, and Policy Considerations (May 19, 2021)
- Artificial Intelligence and National Security (November 10, 2020)
- Artificial Intelligence and Patent Law (December 12, 2024)
- Artificial Intelligence Prompts Renewed Consideration of a Federal Right of Publicity (January 29, 2024)
- Artificial Intelligence: CRS Products (February 12, 2025)
- Artificial Intelligence (AI) and Campaign Finance Policy: Recent Developments (September 25, 2024)
- Artificial Intelligence (AI) Taxonomy (April 25, 2025)
- Artificial Intelligence in Capital Markets: Policy Issues (September 15, 2025)
- Artificial Intelligence and Derivatives Markets: Policy Issues (July 25, 2025)
- Artificial Intelligence (AI) in Federal Election Campaigns: Legal Background and Constitutional Considerations for Legislation (August 17, 2023)
- Artificial Intelligence (AI) and Education (August 1, 2018)
- Regulating Artificial Intelligence: U.S. and International Approaches and Considerations for Congress (June 4, 2025)
- Generative Artificial Intelligence and Data Privacy: A Primer (May 23, 2023)
- Generative Artificial Intelligence and Copyright Law (July 18, 2025)
- Generative Artificial Intelligence: Overview, Issues, and Considerations for Congress (April 2, 2025)
- Automation, Artificial Intelligence, and Machine Learning in Consumer Lending
- Semiconductors and Artificial Intelligence (September 18, 2023)
- Overview of Artificial Intelligence (October 24, 2017)
- Law Enforcement Use of Artificial Intelligence and Directives in the 2023 Executive Order (December 15, 2023)
- The Macroeconomic Effects of Artificial Intelligence (April 1, 2025)
- Section 230 Immunity and Generative Artificial Intelligence (December 28, 2023)
- Case Studies of How Generative Artificial Intelligence is Changing Work (May 16, 2025)
- DeepSeek and the Race to Develop Artificial Intelligence (July 1, 2025)
- Highlights of the 2023 Executive Order on Artificial Intelligence for Congress (April 3, 2024)
- U.S. Ground Forces Robotics and Autonomous Systems (RAS)** and Artificial Intelligence (AI)**: Considerations for Congress (November 20, 2018)
- Data Centers and Cloud Computing: Information Technology Infrastructure for Artificial Intelligence (February 5, 2025)
- EU Finalizes FDI Screening Framework (March 5, 2019)
- Fintech: Overview of Innovative Financial Technology and Selected Policy Issues (April 28, 2020)
- Military Transformation: Intelligence, Surveillance and Reconnaissance (January 17, 2003)
- Fourth Treasury Report on Regulatory Relief: Nonbanks and Financial Technology (August 7, 2018)
- FY2020 Budget Request for the Department of Energy (March 22, 2019)
- Cloud Computing: Background, Status of Adoption by Federal Agencies, and Congressional Action (March 25, 2020)
- FY2019 Budget: Government Reorganization and Federal Workforce Reform (February 22, 2018)
- Amazon Protest of the Department of Defense’s JEDI Cloud Contract Award to Microsoft (December 2, 2019)
- Federal Research and Development (R&D) Funding: FY2020 (March 20, 2020)
- Electric Grid Cybersecurity (September 4, 2018)
- Science and Technology Issues in the 115th Congress (May 22, 2018)
- Science and Technology Issues in the 116th Congress (February 6, 2019)
Non-profits #
- The Frontier Model Forum (FMF) is an industry-supported non-profit dedicated to advancing frontier AI safety and security. Their publications can be found here.
- Epoch AI is a multidisciplinary research institute investigating the trajectory of Artificial Intelligence (AI).
- Stanford Institute for Human-Centered AI (HAI) is an interdisciplinary institute established in 2019 to advance AI research, education, policy, and practice.
- Redwood Research - Works on alignment research, particularly around adversarial training and interpretability
- Alignment Research Center (ARC) - Focuses on theoretical alignment research and AI evaluations
- Center for AI Safety (CAIS)** - Conducts technical research and promotes awareness of AI existential risks
- UC Berkeley Center for Human-Compatible AI (CHAI) - Led by Stuart Russell, focuses on value alignment and beneficial AI
- MIT AI Alignment - Research groups working on various aspects of AI safety
- Carnegie Mellon University AI Safety groups - Multiple research initiatives on safe AI systems
- Center for Security and Emerging Technology (CSET) at Georgetown - Policy research on AI governance and security
- Future of Humanity Institute (has US collaborations) - Works on long-term AI safety challenges
- AI Safety Institute (AISI) - Part of the US government’s NIST, established in 2023
- Machine Intelligence Research Institute (MIRI) - Long-standing organization focused on theoretical AI alignment
- Future of Life Institute - Advocates for safe AI development and funds research
Semiconductors #
- Semiconductors and Modern Industrial Policy By Chad P. Bown & Dan Wang. Abstract: “Semiconductors have emerged as a headline in the resurgence of modern industrial policy. This paper explores the political economic history of the sector, the changing nature of the semiconductor supply chain, and the new sources of concern that have motivated the most recent turn to government intervention. It also explores details of that turn to industrial policy by the United States, China, Japan, Europe, South Korea, and Taiwan. Modern industrial policy for semiconductors has included not only subsidies for manufacturing, but also new import tariffs, export controls, foreign investment screening, and antitrust actions.”
Extras #
- “AI’s Automatic Stabilizers” By Will Rinehart
- AI Doomerism is Bullshit
- A Few Useful Things to Know about Machine Learning” by Pedro Domingos
- “ Silicon innovation is colliding with jurisdictional steel” By Will Rinehart
- Searching for Safety By Aaron Wildavsky
- Normal Accidents By Charles Perrow
- The Cult of Statistical Significance By Deirdre Nansen McCloskey & Steve Ziliak
- The Model Thinker By Scott E Page
See especially Marantz’s “ Among the AI Doomsayers” and Bordelon’s “ AI doomsayers funded by billionaires ramp up lobbying.”
https://github.com/Shubhamsaboo/awesome-llm-apps
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