
Frontier Risk is a newsletter about frontier AI risk management written by the GovAI Risk Management Team
| Platform | Pricing | Only free issues | Publishes | Weekly | |
|---|---|---|---|---|---|
| Issues | 10 | Founded | 6 months ago | Last Issue | 2 months ago |
| Active | |||||

Frontier AI safety frameworks began as a form of voluntary self-regulation. They set out how companies plan to assess and mitigate catastrophic risks from their models.
These frameworks have shaped regulation in the US...
GPT-5.6 is a family of three new models. Sol is the most capable, Terra is cheaper and stays competitive with GPT-5.5, and Luna is the cheapest and fastest.
The US government asked OpenAI to limit access at first. OpenA...
Google DeepMind has published version 3.1 of its Frontier Safety Framework (FSF). The update makes two main changes.
First, it introduces Tracked Capability Levels (TCLs). TCLs trigger a proportionate assessment and mit...
GPT-5.5 is OpenAI’s most capable model to date. Its offensive cyber capabilities are comparable to Anthropic’s Claude Mythos Preview.
Unlike Anthropic, which restricted access to Mythos to a handful of cybersecurity par...
Subscribers, engagement, traffic and sponsorship for Frontier Risk.
| Subscribers | Engagement | 69 | Monthly Web Visits | ||
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The writers behind this newsletter.
AI governance researcher at GovAI based in London. Self-proclaimed "hobby-maxxer".
I'm a Research Fellow at GovAI, specialising in frontier AI risk management, particularly the design and implementation of companies' safety frameworks. I have a background in public policy and regulation.
I'm a Senior Research Fellow at GovAI. I help AI companies to strengthen their risk management practices and governments to codify these practices.
I'm a researcher at GovAI, focused on frontier AI risk management. Before GovA, I worked in the UK Parliament and did a PhD in pure math.
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