The Battle For The Future Of AI — Full Documentary

2024: The Year Of Artificial General Intelligence

Evan Hubinger (Anthropic)—Deception, Sleeper Agents, Responsible Scaling

Holly Elmore—Pausing Frontier AI Development

GPT-2 Teaches GPT-4: Weak-to-Strong Generalization

How to Catch an AI Liar

Anthropic Solved Interpretability?

We Beat The Strongest Go AI

Paul Christiano's Views on AI Doom (ft. Robert Miles)

Neel Nanda–Mechanistic Interpretability, Superposition, Grokking

Joscha Bach—Is AI Risk Real?

Erik Jones—Automatically Auditing Large Language Models

Dylan Patel—GPU Shortage, Nvidia, Semiconductor Supply Chain

Andi Peng—A Human-in-the-Loop Framework for Test-Time Policy Adaptation

Hailey Schoelkopf—Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling

Tomek Korbak—Pretraining Language Models with Human Preferences

Tim Dettmers—k-bit Inference Scaling Laws

Eric Wallace—Poisoning Language Models During Instruction Tuning

Tony Wang—Beating Superhuman Go AIs

David Bau—Editing Facts in GPT, Interpretability

Alexander Pan–Are AIs Machiavellian?

Vincent Weisser–Funding Alignment Research

Aran Komatsuzaki–Scaling, GPT-J

Curtis Huebner—AGI by 2028, 90% Doom

Eric Michaud—Scaling, Grokking, Quantum Interpretability

Daniel Filan–AXRP, LLMs, Interpretability

Existential Risk From AI Is Higher Than 10%—Change My Mind

Jesse Hoogland–AI Risk, Interpretability

Clarifying and predicting AGI

Alan Chan and Max Kaufmann–Model Evaluations, Timelines, Coordination

Breandan Considine–AI Timelines, Coding AI, Neuro Symbolic AI

Christoph Schuhmann–Open Source AI, Misuse, Existential risk

Simeon Campos–Short Timelines, AI Governance, Field Building

ML Street Talk–AI Existential Risk

ML Street Talk–Takeoff Speeds

Collin Burns–Making GPT-N Honest

Victoria Krakovna–AGI Ruin, Sharp Left Turn, Paradigms of AI Alignment

David Krueger—Coordination, AI Alignment, Academia

Scale Is All You Need: Change My Mind

Ethan Caballero–Broken Neural Scaling Laws

Irina Rish—AGI, Scaling, Alignment

Shahar Avin–AI Governance

Katja Grace—Slowing Down AI, Forecasting AI Risk

Markus Anderljung–Regulating Advanced AI

Alex Lawsen—Forecasting AI Progress

Robert Long–Artificial Sentience, Digital Minds

Ethan Perez–Inverse Scaling, Red Teaming

Robert Miles–Existential Risk from AI

Connor Leahy–EleutherAI, Conjecture

Ethan Caballero–Scale Is All You Need