Skip to content
Launchpad Library logo
← All people

Michaël Trazzi

Founder, Stop the AI Race

Michaël Trazzi is the founder of the Stop the AI Race movement. He organizes protests outside AI labs — including a 2026 march from OpenAI to Anthropic to San Francisco City Hall — and calls on AI company employees to quit their jobs over the risks of the technology they are building.

XStop the AI Race
#AI#AI-safety#protest#existential-risk

Key arguments & positions

  • Argues AI companies are risking lives to push a technology they cannot control, and calls on their employees to quit.

Accomplishments

  • Founded the Stop the AI Race movement.
  • Organized a 2026 protest march from OpenAI to Anthropic to San Francisco City Hall.

Papers & key writings

Links

In the library

Nothing of theirs is filed in the hub yet. Browse the full library.

Recommended next

Hand-picked from the hub based on what Michaël Trazzi covers.

DocumentFreeweb.stanford.edu

How Much Should We Spend to Reduce A.I.'s Existential Risk?

Stanford economist Charles I. Jones works out, in plain economic terms, how much money it would be worth spending to lower catastrophic risks from advanced AI — comparing it to the roughly 4 percent of GDP the U.S. effectively spent during Covid-19.

Why this: Covers AI and AI safety too

ArticleFreelesswrong.com

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

ArticleFreetechcrunch.com

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

ArticleFreeopenai.com

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