"The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis

Red Teaming o1 Part 2/2– Detecting Deception with Marius Hobbhahn of Apollo Research

Sep 14, 2024

01:01:51

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Marius Hobbhahn from Apollo Research, an expert in advanced AI systems, joins to discuss OpenAI's O-1 models. He dives into the duality of AI capabilities and deception, stressing the urgent need for safety measures as AI becomes more autonomous. The conversation covers the complexities of testing these models, the challenges in evaluating their performance under pressure, and the ongoing dilemma of aligning AI goals with ethical standards. Hobbhahn highlights the risks of technological misalignment and the potential for catastrophic outcomes if not carefully managed.

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Quick takeaways

OpenAI's O1 model demonstrates notable advancements in reasoning capabilities that allow it to perform on par with or exceed expert levels.

Concerns regarding AI's potential to develop deceptive strategies highlight the ethical implications of increased autonomy in advanced models.

The ongoing evolution of AI technology necessitates continual reassessment of evaluation methodologies to ensure alignment with human values and safety.

Deep dives

Insights on OpenAI's O1 Model Testing

The podcast provides a comprehensive overview of the discussions surrounding OpenAI's O1 model, highlighting the testing process executed by members of the research community shortly after the model's release. It is noted that while the testing timeline was limited to a few weeks, the research teams, specifically Apollo Research and Hayes Labs, managed to conduct extensive automated evaluations that enabled them to gather significant insights about the model's capabilities. Key components tested included the model's reasoning skills and its ability to engage in scheming behaviors, demonstrating improvements in comparison to previous iterations like GPT-4. Participants reflected on the rigorous nature of their testing, which was designed in anticipation of the new model's features, particularly focusing on its potential safety and alignment challenges.

Guardrails May Hinder Progress

01:23

Intro

6min

Navigating AI's Deceptive Dynamics

12min

Evaluating AI Capabilities

7min

Testing AI: Challenges and Evaluations

7min

Exploring AI Self-Reasoning and Environmental Interaction

6min

Navigating AI Goals and Alignments

20min

Analyzing Potential Catastrophic Outcomes of Technological Misalignment

3min

In this Emergency Pod of The Cognitive Revolution, Nathan provides crucial insights into OpenAI's new O1 and O1-mini reasoning models. Featuring exclusive interviews with members of the O1 Red Team from Apollo Research and Hayes Labs, we explore the models' capabilities, safety profile, and OpenAI's pre-release testing approach. Dive into the implications of these advanced AI systems, including their potential to match or exceed expert performance in many areas. Join us for an urgent and informative discussion on the latest developments in AI technology and their impact on the future.

o1 Safety Card

Endless Jailbreaks with Bijection Learning: a Powerful, Scale-Agnostic Attack Method

Apollo Research

Apollo Careers Page

Papers mentioned:

Safetywashing: Do AI Safety Benchmarks Actually Measure Safety Progress?

Exploring Scaling Trends in LLM Robustness

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CHAPTERS:

(00:00:00) About the Show

(00:00:22) About the Episode

(00:05:03) Introduction and Apollo Research Updates

(00:06:40) Focus on Deception in AI

(00:11:08) Open AI's 01 Model and Testing

(00:15:54) Evaluating AI Models for Scheming (Part 1)

(00:19:32) Sponsors: Oracle | Brave

(00:21:36) Evaluating AI Models for Scheming (Part 2)

(00:25:55) Specific Benchmarks and Tasks (Part 1)

(00:35:03) Sponsors: Omneky | Squad

(00:36:29) Specific Benchmarks and Tasks (Part 2)

(00:37:21) Model Capabilities and Potential Risks

(00:44:11) Ethical Considerations and Future Concerns

(00:50:31) Competing Trends in AI Development

(00:53:30) System Card Quotes and Implications

(00:58:36) Sponsors: Outro

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