Eli Tyre
Strategy Director, Palisade Research
Eli Tyre is Strategy Director at Palisade Research, a nonprofit investigating cyber-offensive AI capabilities and the controllability of frontier models, where he briefs policymakers and the public on intelligence-explosion and loss-of-control risks. He also coordinates x-risk grant rounds for the Survival and Flourishing Fund, worked at CFAR from 2016 to 2021 as an instructor and curriculum developer, and has been involved in the rationality and x-risk communities since 2015.
Key arguments & positions
- Briefs policymakers and the public on intelligence-explosion and AI loss-of-control risks; has worked on reducing existential risk from superintelligence since 2015.
Accomplishments
- Strategy Director at Palisade Research, a nonprofit investigating cyber-offensive AI capabilities and the controllability of frontier models.
- Coordinates x-risk grant rounds for the Survival and Flourishing Fund; worked at CFAR from 2016 to 2021 as an instructor and curriculum developer.
Papers & key writings
Links
In the library
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Squiggle Maximizer (formerly "Paperclip Maximizer")
LessWrong wiki article explaining the canonical AI safety thought experiment: how an artificial general intelligence with an innocuous goal could pose an existential risk by pursuing it single-mindedly. Covers the orthogonality thesis and instrumental convergence.
Why this: Covers AI and AI safety too
Rationality: From AI to Zombies
Eliezer Yudkowsky's collected essays on reasoning, bias and AI risk, free to read online in full.
Why this: Covers AI and AI safety too
Anthropic releases new Mythos and Fable models amid RSI concerns
TechCrunch reports on Anthropic's Fable 5.2 and Mythos 5.2 release, pricing and system-card concerns about evaluating covert behavior. This is freely readable reporting; model capabilities are attributed to Anthropic and the system card, not independently established by the article.
Why this: Covers AI and AI safety too
Control Room: A central system to track and stop model workloads across our research infrastructure
OpenAI describes Control Room, an internal system for tracking and stopping model workloads across its research infrastructure. The company reports intervention performance and safety design; the article is free to read, but Control Room is not offered as a public tool.
Why this: Covers AI and AI safety too