Redwood Research Blog
By Redwood Research
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Episodes: 37
Description
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.
| Episode | Date |
|---|---|
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“The case for countermeasures to memetic spread of misaligned values” by Alex Mallen
|
May 28, 2025 |
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“AIs at the current capability level may be important for future safety work” by Ryan Greenblatt
|
May 12, 2025 |
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“Misalignment and Strategic Underperformance: An Analysis of Sandbagging and Exploration Hacking” by Julian Stastny, Buck Shlegeris
|
May 08, 2025 |
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“Training-time schemers vs behavioral schemers” by Alex Mallen
|
May 06, 2025 |
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“What’s going on with AI progress and trends? (As of 5/2025)” by Ryan Greenblatt
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May 03, 2025 |
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“How can we solve diffuse threats like research sabotage with AI control?” by Vivek Hebbar
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Apr 30, 2025 |
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“7+ tractable directions in AI control” by Ryan Greenblatt
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Apr 29, 2025 |
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“Clarifying AI R&D threat models” by Josh Clymer
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Apr 25, 2025 |
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“How training-gamers might function (and win)” by Vivek Hebbar
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Apr 24, 2025 |
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“Handling schemers if shutdown is not an option” by Buck Shlegeris
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Apr 18, 2025 |
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“Ctrl-Z: Controlling AI Agents via Resampling” by Buck Shlegeris
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Apr 16, 2025 |
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“To be legible, evidence of misalignment probably has to be behavioral” by Ryan Greenblatt
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Apr 15, 2025 |
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“Why do misalignment risks increase as AIs get more capable?” by Ryan Greenblatt
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Apr 11, 2025 |
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“An overview of areas of control work” by Ryan Greenblatt
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Apr 09, 2025 |
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“An overview of control measures” by Ryan Greenblatt
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Apr 06, 2025 |
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“Buck on the 80,000 Hours podcast” by Buck Shlegeris
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Apr 05, 2025 |
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“Notes on countermeasures for exploration hacking (aka sandbagging)” by Ryan Greenblatt
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Apr 04, 2025 |
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“Notes on handling non-concentrated failures with AI control: high level methods and different regimes” by Ryan Greenblatt
|
Apr 03, 2025 |
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“Prioritizing threats for AI control” by Ryan Greenblatt
|
Mar 19, 2025 |
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“How might we safely pass the buck to AI?” by Josh Clymer
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Feb 19, 2025 |
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“Takeaways from sketching a control safety case” by Josh Clymer
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Jan 30, 2025 |
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“Planning for Extreme AI Risks” by Josh Clymer
|
Jan 29, 2025 |
|
“Ten people on the inside” by Buck Shlegeris
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Jan 28, 2025 |
|
“When does capability elicitation bound risk?” by Josh Clymer
|
Jan 22, 2025 |
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“How will we update about scheming?” by Ryan Greenblatt
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Jan 19, 2025 |
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“Thoughts on the conservative assumptions in AI control” by Buck Shlegeris
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Jan 17, 2025 |
|
“Extending control evaluations to non-scheming threats” by Josh Clymer
|
Jan 13, 2025 |
|
“Measuring whether AIs can statelessly strategize to subvert security measures” by Buck Shlegeris, Alex Mallen
|
Dec 20, 2024 |
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“Alignment Faking in Large Language Models” by Ryan Greenblatt, Buck Shlegeris
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Dec 18, 2024 |
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“Why imperfect adversarial robustness doesn’t doom AI control” by Buck Shlegeris
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Nov 18, 2024 |
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“Win/continue/lose scenarios and execute/replace/audit protocols” by Buck Shlegeris
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Nov 15, 2024 |
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“Behavioral red-teaming is unlikely to produce clear, strong evidence that models aren’t scheming” by Buck Shlegeris
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Oct 10, 2024 |
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“A basic systems architecture for AI agents that do autonomous research” by Buck Shlegeris
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Sep 26, 2024 |
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“How to prevent collusion when using untrusted models to monitor each other” by Buck Shlegeris
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Sep 25, 2024 |
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“Would catching your AIs trying to escape convince AI developers to slow down or undeploy?” by Buck Shlegeris
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Aug 26, 2024 |
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“Fields that I reference when thinking about AI takeover prevention” by Buck Shlegeris
|
Aug 13, 2024 |
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“Getting 50% (SoTA) on ARC-AGI with GPT-4o” by Ryan Greenblatt
|
Jun 17, 2024 |