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Federal Register :: Request Access

Federal Register :: Request Access

Federal Register :: Request Access

Federal Register :: Request Access

Federal Register :: Request Access

Federal Register :: Request Access

Federal Register :: Request Access

Federal Register :: Request Access

Federal Register :: Request Access

Federal Register :: Request Access

Federal Register :: Request Access

Federal Register :: Request Access

David Lindner

Federal Register :: Request Access

Our structure | OpenAI

OpenAI Foundation

OpenAI - Wikipedia

Elon Musk's xAI celebrates nearly 3,000 headcount at Memphis site

x ai Number of Employees 2026 | Employee Count & Headcount Data | Revelio Labs

Biography | Vipul Naik

Graduate studies | Vipul Naik

Undergraduate studies | Vipul Naik

William MacAskill | Forethought

William MacAskill - Wikipedia

William MacAskill

track record

Sentinel

Paul Christiano | NIST

Paul Christiano - Wikipedia

Paul Christiano

GPT-5.6: Frontier intelligence that scales with your ambition | OpenAI

OpenAI model benchmark scores & progress | evals.report

OpenAI o1 · Models · VerdictPal

OpenAI Leak: $38B Loss on $13B Revenue, Altman Owns Zero

OpenAI made $13 billion in 2025 and lost $21 billion doing it | TechSpot

About - SITUATIONAL AWARENESS

Introduction - SITUATIONAL AWARENESS: The Decade Ahead

Leopold Aschenbrenner - Wikipedia

Verifying your browser | OpenReview

Onni Aarne — Institute for AI Policy and Strategy

Measure is unceasing

NunoSempere — AI Alignment Forum

The Sixth Foresight Conference on Molecular Nanotechnology - Foresight Institute

About - Foresight Institute

Foresight Institute - Homepage

RAND Forecasting Initiative

Eli Lifland

Anthropic IPO: Strategic Partnerships to Customer Concentration [In-Depth Analysis] [2026] - Klover.ai

Anthropic revenue, valuation & funding | Sacra

Anthropic Only Has ~5,000 Employees. Almost No One Has Ever Been This Efficient. That’s By Choice. | SaaStrAI

Home \ Anthropic

How Many Employees Does Anthropic Have in 2026? (~5,000)

2023 Whole Brain Emulation Workshop - Foresight Institute

GitHub - quantified-uncertainty/metaforecast: Fetch forecasts from prediction markets/forecasting platforms to make them searchable. Integrate these forecasts into other services. · GitHub

Draft report on AI timelines - LessWrong 2.0 viewer

Ajeya Cotra on whether it's crazy that every AI company's safety plan is 'use AI to make AI safe' | 80,000 Hours

GitHub - YichengYang-Ethan/bigtech-ai-stakes: Tracker for U.S. public-company equity stakes in Anthropic and OpenAI. Built from primary SEC filings, court records, and press releases. Each row confidence-tagged (V/P/S). · GitHub

Who Owns Anthropic? Complete Ownership Breakdown (2026)

‘Voluntary’ Until the Government Is Your Customer | Lawfare

Review of the "Risks from automated R&D" section in the Anthropic Risk Report (February 2026) - METR

CoT May Be Highly Informative Despite “Unfaithfulness” - METR

[2603.20276] Me, Myself, and $π$ : Evaluating and Explaining LLM Introspection

The Cognitive Revolution in Interpretability: From Explaining Behavior to Interpreting Representations and Algorithms

Response to OSTP on AI Action Plan - METR

Example autonomy evaluation protocol - METR

Responsible Scaling Policies (RSPs) - METR

Common Elements of Frontier AI Safety Policies - METR

Recent Frontier Models Are Reward Hacking - METR

Clarifying METR's Auditing Role

AI Lab Watch

The Rogue Replication Threat Model - METR

Language Model Pilot Report - METR

Task-Completion Time Horizons of Frontier AI Models - METR

GPT-4 Technical Report

Claude 3.7 Sonnet and Claude Code \ Anthropic

Details about METR's preliminary evaluation of Claude 3.7

Time Horizon 1.1 - METR

Details about METR's preliminary evaluation of OpenAI's o3 and o4-mini

METR Revenue, Funding & Valuation

Frontier risk and preparedness | OpenAI

OpenAI’s Approach to Frontier Risk | OpenAI

Responsible Scaling Policies (RSPs) - METR

Announcing Anthropic's Responsible Scaling Policy \ Anthropic

Responsible Scaling Policy Version 3.0 \ Anthropic

Introducing the Frontier Safety Framework — Google DeepMind

Frontier safety at Google DeepMind — Google DeepMind

Google DeepMind strengthens the Frontier Safety Framework — Google DeepMind

The Singapore Consensus on Global AI Safety Research Priorities | FAR.AI

Managing extreme AI risks amid rapid progress

Professors are leaving academe during the Great Resignation

Gender and retention patterns among U.S. faculty

The potential of generative AI for personalized persuasion at scale | Scientific Reports

Persuasion with Large Language Models: A Survey of Empirical Evidence, Study Methodologies, and Ethical Implications

Lies, damned lies, and language statistics: a comprehensive review of risks from manipulation, persuasion, and deception with large language models

Summary of our gpt-oss methodology review - METR

communitynotes/documentation/under-the-hood/ranking-notes.md at main · twitter/communitynotes · GitHub

GitHub - twitter/communitynotes: Documentation and source code powering Twitter's Community Notes · GitHub