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Redwood Research Blog

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

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.

PublishesTwice weeklyEpisodes83Founded10 months ago
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TechnologySociety & CulturePhilosophy

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Latest Episodes

Subtitle: If you think reward-seekers are plausible, you should also think “fitness-seekers” are plausible. But their risks aren’t the same..

The AI safety community often emphasizes reward-seeking as a central case of a misaligned AI alongside sc... more

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

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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 10 months ago and published 83 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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