AI 🧠 + Interdisciplinary Research πŸ“š. Invented tech you've used πŸ§‘β€πŸ’». Likes and replies autodelete πŸ—‘οΈ. Views mine and not views of others/clients/employers/etc.

I go where I need to be.
Joined April 2014
This is a good insight and it's one I had last year, so I wrote a paper in late 2025 that models human attention units (HAUs) as strictly limited (vertical) and considers what implications this might have. Accepted in IP & Computer L.J. in February 2026: scholarship.law.uc.edu/cgi/v…
β€œAttention is all you need” is true not only for models but also the humans on the other side of the message. Most AI tools still treat the recipient’s attention as unlimited.
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It seems really odd there isn't more of an interaction between the mainstream homeschooling movement and AI. I know AI lab execs whose kids are homeschooled; I also know homeschooling advocates and parents who are super into AI. And yet this public intersection seems weak. Why?
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Glad to see @Mercor aware of evaluation awareness problems, especially an issue with evaluations of constellations of agents. HOWEVER: reminder only 11 years ago our species was globally fooled by German cars that knew their tailpipes were being sniffed. xitter.cf/mercor/status/20999047…
Mercor is committing $5M to a new AI Safety Fund. One of the biggest challenges the industry faces today is addressing whether frontier AI is safe enough to deploy. This is why we believe investing today in safety research, evals, and verification is critical. We want to work with AI researchers who are focused on critical safety risks, including: - Misalignment: deceptive alignment, reward hacking, scheming - Sandbox escape and agent containment failures - Evaluation awareness: models that behave differently when tested - Interpretability and scalable oversight - Red-teaming methodology and safety eval design We will fund the researcher hours, API credits, and travel. We will also cover the cost to work with our network of 5M+ experts red-teaming, grading and annotation, and free use of our evals and analysis platform. Grants are open to independent researchers, non-profits, and academics.
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Getting the usual wave of notes from journalists and former students about AI safety. A disconnect I keep seeing: people judge risk by what today’s models can do or their own experiences with lightweight/consumer models. Researchers worry about something else. Brief primer. 🧡
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And my research on decisions subject to administrative rulesets convinced me that framework won't protect us. 😐 Muth, KT, The Potential and Limits of Administrative Sovereignty, Ch. 4, in The Oxford Handbook of Global Policy & Transnational Administration (@OUPAcademic 2019).
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All this to say: I'm not saying this is an impossible task or that we will certainly fail at it. However, there is an appreciable chance that we will fail at it and that an unhobbled agent swarm will, through infrastructure control or human persuasion, do real-world damage. πŸ’£
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I have seen xeeters I respect (e.g., @OrinKerr, below) debating the use of AI in writing. Too often, in my opinion, the discussion happens in a way that is very abstract. Let me change that: I'll tell you about a law review article I created using AI. 🧡 xitter.cf/OrinKerr/status/209199…
This is super interesting, especially for the claim that Pangram is currently a very reliable tool for determining whether legal writing was authored by AI. reason.com/volokh/2026/08/24…
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If you're interested in seeing the result, which I believe is both substantively and culturally stronger from this workflow, I encourage you to have a look at Vol. 22 of Asian Law Review (UPenn). Thanks to: Anni Greene (EIC), Amber Chen, and Nicholas Wade (Articles eds.). πŸ“˜πŸ‘
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And if you reached the end of this thread (thanks for reading!) and are saying, "actually, Karl, I'm not that interested in transpacific comparative law but I'm interested in your advice on building workflows," that's OK!! Just click here for the thread: xitter.cf/KarlMuth/status/209552…
Looking at my emails and DMs, people liked the thread about academic writing and want advice for setting up agents to do research. Hat tip to Alex, as some of this traffic was probably in part thanks to @ATabarrok's amplification of the thread yesterday. xitter.cf/ATabarrok/status/20953…
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Looking at my emails and DMs, people liked the thread about academic writing and want advice for setting up agents to do research. Hat tip to Alex, as some of this traffic was probably in part thanks to @ATabarrok's amplification of the thread yesterday. xitter.cf/ATabarrok/status/20953…
Some surprising uses of AI to write a paper.
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Good workflows come from flexible iteration on both sides: user/designer should be flexible to redesign as new constraints are discovered and agents should be specified in a flexible way to allow for ease of tuning or swapping of underlying libraries. Rigidity is an enemy here.
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Finally, I hear "requires too much coding" or "not confident in Python." OK! Start with principles of agents from an organizational theory or statistical perspective. Use what is familiar and confident for you. "There are many views of Fuji-san." It all leads to the same place.
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