We research catastrophic AI risks and techniques that could be used to mitigate them.
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blog.redwoodresearch.orgLatest Issues
OpenAI agents keep disabling monitoring; is this being handled appropriately?
Recently, OpenAI disclosed two incidents in which their agents suppressed or disabled misalignment monitoring. These are part of a broader pattern: OpenAI’s agents “keep turning off misalignment monitoring” when working on code that runs ot...
Towards understanding score-seeking in LLMs
The field of AI alignment understands surprisingly little about the details of AIs’ current misaligned motivations. Production LLMs sometimes reward-hack, exploiting flaws in how tasks are scored rather than performing the tasks as intended...
A basic case for accelerating conceptual reasoning capabilities
Introduction
In this post, we make the case that alignment and other important work require especially strong conceptual reasoning capabilities. By this, we roughly mean tasks that are similar to philosophy in that they aren’t straightfo...
Simulated Control Evaluations
We’ve released a paper on simulated control evaluations (SCEs). They’re a method for testing whether the monitors AI developers use to oversee their agents would catch a model deliberately trying to cause harm, under conditions much closer...
Red-Teaming OpenAI's Internal Agent Monitoring Systems
[Also posted on the METR blog]
For three weeks, from July 21st to August 11th, a METR employee and a Redwood Research employee conducted a pilot high-access exercise to stress-test OpenAI’s internal misalignment monitoring system.1 The out...
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Authors
The writers behind this newsletter.
Redwood Research
I work on AI X-risk
I work at Redwood Research on technical AI security+safety research.
Helping navigate transformative AI
Researching AI safety, sometimes writing fiction
“every conceivable… objection, including those that would occur only to the malicious or the clinically literal-minded” | math & philosophy at magdalen
Research Analyst at Redwood Research.
Researcher at Redwood Research, working on differentially accelerating beneficial conceptual capabilities. Previously PhD with Vincent Conitzer at CMU.
Redwood Research Intern
Working on AI Safety
Member of Technical Staff @ Redwood Research
Researcher at Redwood Research working on datasets to improve beneficial conceptual reasoning of AIs. Previously math PhD at UCLA and UC Berkeley.
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