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Redwood Research Blog

Redwood Research
Artificial Intelligence
AI Safety
Alignment Faking
Control Evaluations
Machine Learning
AI Monitoring
Asynchronous Online Training
Collusion
AI Control
Superintelligence
AI Scheming
Red Teaming
Safety Protocols
Untrusted Models
Scheming Ais
Misalignment
Anti-Collusion Mechanisms
Training Methods
Risks Of AI
Training Techniques

Narrations of Redwood Research blog posts. Redwood Research is a research nonprofit based in Berkeley. We investigate risks posed by the development of powerful artificial intelligence and techniques for mitigating those risks.

PublishesWeeklyEpisodes82Founded9 months ago
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PhilosophySociety & CultureTechnology

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After five months of me (Buck) being slow at finishing up the editing on this, we’re finally putting out our inaugural Redwood Research podcast. I think it came out pretty well—we discussed a bunch of interesting and underdiscussed topics and I’m gla... more

Subtitle: Recent AIs are much better at chaining together knowledge in a single forward pass.

Prior work has examined 2-hop latent (as in, no Chain-of-Thought) reasoning (e.g., “What element has atomic number (the age at which Tesla died)?”) and f... more

Subtitle: Opus 4.5 has around a 3.5 minute 50%-reliablity time horizon.

A key risk factor for scheming (and misalignment more generally) is opaque reasoning ability. One proxy for this is how good AIs are at solving math problems immediately witho... more

Subtitle: AI can sometimes distribute cognition over many extra tokens.

Prior results have shown that LLMs released before 2024 can’t leverage ‘filler tokens’—unrelated tokens prior to the model's final answer—to perform additional computation and... more

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Ryan Greenblatt
Author and researcher at Redwood Research.

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What is Redwood Research Blog about and what kind of topics does it cover?

The episodes explore various dimensions of artificial intelligence (AI), focusing on the implications of AI safety, alignment, and control measures necessary for addressing the risks stemming from advanced AI systems. Key topics include misalignment issues, the distinct challenges posed by scheming behaviors in AI, the need for practical control techniques, and ongoing discussions about the prevailing trends in AI research and its potential threats. A unique aspect of the content is its emphasis on actionable insights for independent researchers and practitioners, underlining the urgency of developing effective strategies to manage the evolving landscape of AI technologies. This content is particularly relevant for listeners interested in t... more

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Redwood Research Blog launched 9 months ago and published 82 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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