Citation Content

About | OpenAI

OpenAI Foundation | OpenAI

OpenAI Foundation

OpenAI - Wikipedia

Philip E. Tetlock

Philip Tetlock, Ph.D. | Annenberg

Philip E. Tetlock | Penn Integrates Knowledge Professorships

track record

forecasting

Sentinel

Paul Christiano - Alignment Wiki

Paul Christiano - Wikidata

Paul Christiano - Wikipedia

Introducing MentalHealthBench | OpenAI

o3 Benchmark Scores & Evals | BenchmarkList

Research | OpenAI

OpenAI o3 Breakthrough High Score on ARC-AGI-Pub | ARC Prize

Internal XAI Org Chart: Names, Positions, Team Size - Business Insider

SpaceXAI - Wikipedia

xAI - StartupWiki | AI Startup Research Directory

Home | Harvey Mudd College

OAGr (Ozzie Gooen) · GitHub

OpenAI CFO says annualized revenue crosses $20 billion in 2025 | Reuters

OpenAI’s Revenue Run Rate Tops $40 Billion Ahead of IPO - Bloomberg

OpenAI's annualized recurring revenue nears $70 billion, source says - AOL

OpenAI revenue run rate nears $70 billion as AI IPO race heats up

’21 Valedictorian Remembers Special Times at the College | Columbia College Today

For Our Posterity — by Leopold Aschenbrenner

What Does the Humbling of Leopold Aschenbrenner Mean for the A.I. Bubble? | The New Yorker

About - SITUATIONAL AWARENESS

Leopold Aschenbrenner - Wikipedia

Onni Aarne — Institute for AI Policy and Strategy

Onni Aarne | CNAS

Fellowship — Institute for AI Policy and Strategy

NunoSempere

software

Measure is unceasing

Nuño Sempere - Altruisme Efficace

William MacAskill | Forethought

Will MacAskill | Speaker | TED

Will MacAskill | Effective Altruism

What We Owe The Future — William MacAskill

William MacAskill - Wikipedia

Wayback Machine

Foresight Institute - Homepage

The Foresight Institute - Nonprofit Explorer - ProPublica

Foresight Institute - Wikipedia

RAND Forecasting Initiative

Special Edition: The Future of AI and Humanity, with Eli Lifland | ControlAI

Accuracy leaderboards · RAND Forecasting Initiative Archive

Eli Lifland

About — AI 2027

Portfolio of Issa Rice

Biography | Vipul Naik

Graduate studies | Vipul Naik

Undergraduate studies | Vipul Naik

Anthropic IPO: Valuation, Timeline and Investment Options

Just 2 Customers Accounted For 25% Of Anthropic's Revenue, Its IPO Prospectus Says

Anthropic Statistics 2026: Revenue, Valuation, Funding & Growth Data - Axis Intelligence

Exciting Announcement: Launching our Grant for Underexplored approaches to AI Safety! - Foresight Institute

III. AI-first science: Bio, Neuro, Nano - Request for Proposals - Foresight Institute

Advancing Safe AI: Neurotech, BCI, and WBE for AI Alignment - Foresight Institute

Introducing Metaforecast: A Forecast Aggregator and Search Tool

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

Ajeya Cotra - METR

The Future Perfect 50: Ajeya Cotra, senior research analyst at Open Philanthropy | Vox

Who Owns Anthropic? The Cap Table, What's Public

Amazon and Google have billions riding on Anthropic. The IPO will finally reveal how much. | Fortune

Who Owns Anthropic? Complete Ownership Breakdown (2026)

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

Anthropic's founders seek voting control ahead of IPO | TechCrunch

The Challenge of Implementing Voluntary Sustainability Standards: A Dynamic Framework on the Tension between Adherence and Adaptation | Business Ethics Quarterly | Cambridge Core

From Compliance to Competitive (Dis)Advantage? The Transformation of Corporate Sustainability Reporting

What AI evaluations for preventing catastrophic risks can and cannot do | alphaXiv

Clarifying limitations of time horizon - METR

What should companies share about risks from frontier AI models? - METR

Why it’s good for AI reasoning to be legible and faithful - METR

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

[2607.16112] Harmonizing AI Safety Thresholds

Capability Thresholds Compared — CASRAI

Why AI Evaluation Regimes are bad - by Gabe

Recent Frontier Models Are Reward Hacking - METR

[2609.25848] Optimizing the Score, Losing Sight of the Task: Reward Hacking Across Weights, Selection, and Prompts

Inside the suddenly explosive world of AI safety | The Verge

AI companies aren't really using external evaluators — EA Forum

OpenAI partner says it had relatively little time to test the company's o3 AI model | TechCrunch

Loss of control | 80,000 Hours

AI companies aren't really using external evaluators

New report: Evaluating Language-Model Agents on Realistic Autonomous Tasks - METR

The Rogue Replication Threat Model - METR

[2312.11671] Evaluating Language-Model Agents on Realistic Autonomous Tasks

RepliBench: Evaluating the Autonomous Replication Capabilities of Language Model Agents

GPT-4 | OpenAI

GitHub - htihle/weirdml-time-horizons: WeirdML Time Horizons: estimating and tracking how the "time horizon" of LLMs — the human-equivalent task duration at which a model reaches 50% success on WeirdML — grows across model generations. Based on LLM estimates of human completion times. · GitHub

[2307.13854] WebArena: A Realistic Web Environment for Building Autonomous Agents

Measuring AI Ability to Complete Long Software Tasks | Lawrence Chan