Computational Legal
@computational
Prof. Daniel Martin Katz #Law + #Science + #Engineering + #Entrepreneurship BLOG: http://ComputationalLegalStudies.com PAGE: http://DanielMartinKatz.com CORP: http://Kelvin.Legal
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It was a real honor to deliver the Opening Keynote at the Royal Society’s AI & Law Conference last week in London ! Thanks to all of the organizers and fellow speakers for this important dialogue regarding the future of our field. Link to Event Here: royalsociety.org/science.../202…
Congrats to Joel, Philippe and Peter for being recognized with the Nobel Prize. They revolutionized our understanding of the economics of innovation and growth.
BREAKING NEWS The Royal Swedish Academy of Sciences has decided to award the 2025 Sveriges Riksbank Prize in Economic Sciences in Memory of Alfred Nobel to Joel Mokyr, Philippe Aghion and Peter Howitt “for having explained innovation-driven economic growth” with one half to Mokyr…
My brain broke when I read this paper. A tiny 7 Million parameter model just beat DeepSeek-R1, Gemini 2.5 pro, and o3-mini at reasoning on both ARG-AGI 1 and ARC-AGI 2. It's called Tiny Recursive Model (TRM) from Samsung. How can a model 10,000x smaller be smarter? Here's how…
slop-researched first brands counterparty network
BREAKING NEWS The Royal Swedish Academy of Sciences has decided to award the 2025 #NobelPrize in Physics to John Clarke, Michel H. Devoret and John M. Martinis “for the discovery of macroscopic quantum mechanical tunnelling and energy quantisation in an electric circuit.”
I encourage you to read this article, in which we describe the current situation and the directions in which, in our view, mathematics is heading. Many thanks to Ken Ono for including me in this extraordinary project. I look forward to a wide-ranging discussion and will be…
Veo is a more general reasoner than you might think. Check out this super cool paper on "Video models are zero-shot learners and reasoners" from my colleagues at @GoogleDeepMind.
GPUs are expensive and setting up the infrastructure to make GPUs work for you properly is complex, making experimentation on cutting-edge models challenging for researchers and ML practitioners. Providing high quality research tooling is one of the most effective ways to…
Finally had a chance to listen through this pod with Sutton, which was interesting and amusing. As background, Sutton's "The Bitter Lesson" has become a bit of biblical text in frontier LLM circles. Researchers routinely talk about and ask whether this or that approach or idea…
.@RichardSSutton, father of reinforcement learning, doesn’t think LLMs are bitter-lesson-pilled. My steel man of Richard’s position: we need some new architecture to enable continual (on-the-job) learning. And if we have continual learning, we don't need a special training…
Today, @ekindogus and I are excited to introduce @periodiclabs. Our goal is to create an AI scientist. Science works by conjecturing how the world might be, running experiments, and learning from the results. Intelligence is necessary, but not sufficient. New knowledge is…
The sudden viability of economically valuable AI agents has been surprising. This partially as this has happened very quickly & very recently. But also because we had bad assumptions about the limits of agents, which are more self-correcting than expected oneusefulthing.org/p/real-ai-agen…
This week and next, I am covering the years 1870–1914 in my undergraduate economic history course. Each time I return to this material, I am struck by how much of the modern world takes shape in that era, often more so than in the classic narratives centered on Britain’s…
AI agents are now capable of doing real, if bounded, work. But that work can be very valuable. For example, the new Claude Sonnet 4.5 was able to replicate published economics research from data files & the paper. We need to figure out what to do with it: oneusefulthing.org/p/real-ai-agen…
Very interested to watch these ... might assign a few in my class ...
We have just released the videos for our @nberpubs Workshop on the Economics of Transformative AI: 16 amazing presentations, each with a discussant's commentary The next post has the program and the videos.
The jump from "agents are nowhere close to working" to "okay, narrow agents for research and coding work pretty well" to (very recently) "general purpose agents are actually useful for a range of tasks" has been quick enough (less than a year) so that most people have missed it.
As a researcher at a frontier lab I’m often surprised by how unaware of current AI progress public discussions are. I wrote a post to summarize studies of recent progress, and what we should expect in the next 1-2 years: julian.ac/blog/2025/09/2…
if i had to choose a single 5-minute read to agi-pill smart friends, it would be this clean and simple piece
As a researcher at a frontier lab I’m often surprised by how unaware of current AI progress public discussions are. I wrote a post to summarize studies of recent progress, and what we should expect in the next 1-2 years: julian.ac/blog/2025/09/2…
Transformative AI poses a challenge to economics. In fact, at least nine challenges.
1/ 🧵 Just published "A Research Agenda for the Economics of Transformative AI” with @professor_ajay and @erikbryn The key challenge: Expert timelines for transformative AI have collapsed to just a few years, but economic models, institutions, and policies adapt much more slowly
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