Redwood Research Blog
Redwood ResearchNarrations 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.
| Publishes | Daily | Episodes | 76 | Founded | 7 months ago |
|---|---|---|---|---|---|
| Number of Listeners | Categories | Society & CultureTechnologyPhilosophy | |||
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Subtitle: A reason alignment could be hard.
Written with Alek Westover and Anshul Khandelwal
This post explores what I’ll call the Alignment Drift Hypothesis:
An AI system that is initially aligned will generally drift into misalignment after ... more
Subtitle: I operationalize Anthropic's prediction of "powerful AI" and explain why I'm skeptical.
As far as I’m aware, Anthropic is the only AI company with official AGI timelines1: they expect AGI by early 2027. In their recommendations (from Mar... more
Subtitle: and this seems caused by training on alignment evals.
Sonnet 4.5's eval gaming seriously undermines alignment evals and seems caused by training on alignment evals
According to the Sonnet 4.5 system card, Sonnet 4.5 is much more likely... more
There is some concern that training AI systems on content predicting AI misalignment will hyperstition AI systems into misalignment. This has been discussed previously by a lot of people: Anna Salamon, Alex Turner, the AI Futures Project, Miles Kodam... more
Subtitle: I'm skeptical that Dario's prediction of AIs writing 90% of code in 3-6 months has come true.
In March 2025, Dario Amodei (CEO of Anthropic) said that he expects AI to be writing 90% of the code in 3 to 6 months and that AI might be writ... more
Subtitle: Can we study scheming by studying AIs trained to act like schemers?.
In a previous post, I discussed mitigating risks from scheming by studying examples of actual scheming AIs.1 In this post, I’ll discuss an alternative approach: directl... more
Subtitle: A strategy for handling scheming.
In a previous post, we discussed prospects for studying scheming using natural examples. In this post, we’ll describe a more detailed proposal for iteratively constructing scheming models, techniques for... more
Subtitle: It's a promising design for reducing model access inside AI companies..
Last week, Thinking Machines announced Tinker. It's an API for running fine-tuning and inference on open-source LLMs that works in a unique way. I think it has some ... more
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Content is centered around addressing and analyzing the risks associated with powerful artificial intelligence (AI), particularly through a research lens. Episodes often explore misalignment in AI behavior, various threat models, and innovative control techniques to mitigate risks effectively. The discussions incorporate both theoretical perspectives and practical applications, emphasizing the need for ongoing research and development in AI safety to ensure that advancements in technology align with human values and safety standards. Key topics like exploration hacking, AI schemers, and potential catastrophic consequences form the backbone of the dialogue, resonating with professionals concerned about the implications of AI development.
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1. AI Safety Newsletter
2. Future of Life Institute Podcast
3. Clearer Thinking with Spencer Greenberg
4. Conversations with Tyler
5. Sentinel Minutes
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Redwood Research Blog launched 7 months ago and published 76 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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