What's better than Anthropic, OpenAI + friends "saving humanity" 1 military contract at a time? Residential homes being military bases. "In the future, your home will feel as safe from intruders as a state-of-the-art military base." By @nitashatiku
SAFETY
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Community efforts addressing foundational AI questions and challenges
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So what should we do? It’s been great to see the community coming together to start answering some of these questions, with some of the top names in the field taking these questions seriously. But much of the de novo-focused work remains high level.
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Regulating Specialist Biodesign Tools: Beyond Compute Thresholds
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The story’s different when it comes to specialist biodesign tools – going back to our DNA synthesis scenario at the top. But the regulatory approaches that may work for big frontier labs (e.g. compute thresholds) don’t translate so well for these. The scale/capability
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Governing AI Models: Frameworks for Responsible Development
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We’re seeing work like this from @tessafyi
, @mslkmp
, @samuelmcurtis and co. setting out frameworks for responsibly governing BDTs. These are eminently sensible and industry should likely adopt them, but there are lingering questions about how to tackle de novo threats -

LLM Biorisk Research Lacks Central Question Demonstrations
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There are certain central questions LLM-focused biorisk research needs to demonstrate to us, but we haven’t seen signs of it yet. That, of course, may change.
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Biorisks LLMs Critical Analysis Open Source Security
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Much of the biorisk work on text-based LLMs struck us as reasonably unconvincing: it often shoed the ability of LLMs to answer a handful of Qs about pathogens…and not much else. @1a3orn
’s takedown of this work, along with their wider writing about attacks on open source, is -
Anthropic’s Strategy: AI, Amazon Partnership, and Defense Tech
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Our new AI Exchange conversation is with @DarioAmodei who spent an hour discussing Anthropic's plans for the next year, its relationship with hyperscalers like Amazon and his decision to build tech for the DoD. https://
ft.com/content/e75e33
88-4700-413d-ab67-778410c2d977
… -

Age-Appropriate AI Design Essential for Youth Safety and Business
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In the latest Pondering AI, Vaishnavi J, founder of Vyanams Strategies, explains why age-appropriate design is essential for youth well-being—and a smart business move. Hear how great experiences and safety aren't mutually exclusive: https://t.co/gPzqWQUzRK pic.twitter.com/s328EysN1b
— SAS Software (@SASsoftware) 4 décembre 2024In the latest Pondering AI, Vaishnavi J, founder of Vyanams Strategies, explains why age-appropriate design is essential for youth well-being—and a smart business move. Hear how great experiences and safety aren't mutually exclusive: http://
2.sas.com/6011Q6EnP -

Hazard and Survival in AI Systems
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Hazard and Survival https://
bit.ly/4fXRrR3
#AI #MachineLearning #DeepLearning #LLMs #DataScience -

Computationally Efficient Methods for Robust Mean Estimation
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I wrote a survey article on computationally efficient methods for "robust" mean estimation, which includes robustness to contamination, heavy-tailed data, or in the sense of differential privacy. The same ideas are useful for all 3 (seemingly-different) forms of robustness! 1/2