Computational Legal @computational

Prof. Daniel Martin Katz #Law + #Science + #Engineering + #Entrepreneurship BLOG: https://t.co/wAwPaZf3aK PAGE: https://t.co/4PK6hxI3Q3 CORP: https://t.co/KE6PcoN5bO danielmartinkatz.com @IllinoisTech @ChicagoKentLaw Joined March 2009

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Jesús Fernández-Villaverde @JesusFerna7026

6 days ago

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…

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Ethan Mollick @emollick

a day ago

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…

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Computational Legal @computational

20 hours ago

Very interested to watch these ... might assign a few in my class ...

Erik Brynjolfsson @erikbryn

a day ago

Very interested to watch these ... might assign a few in my class ...

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Ethan Mollick @emollick

3 days ago

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.

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Julian Schrittwieser @Mononofu

3 days ago

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…

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Aidan McLaughlin @aidan_mclau

3 days ago

if i had to choose a single 5-minute read to agi-pill smart friends, it would be this clean and simple piece

Julian Schrittwieser @Mononofu

3 days ago

if i had to choose a single 5-minute read to agi-pill smart friends, it would be this clean and simple piece https://t.co/gz75DwbUqz

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Erik Brynjolfsson @erikbryn

4 days ago

Transformative AI poses a challenge to economics. In fact, at least nine challenges.

Anton Korinek @akorinek

7 days ago

Transformative AI poses a challenge to economics. In fact, at least nine challenges.

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Oregon Football @oregonfootball

a week ago

Mummy mode. Presenting the @Nike Mummy Duck Vaporposite cleat. Created exclusively for Oregon Football. #GoDucks

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Noah Smith 🐇 @Noahpinion

6 days ago

FINALLY THE PAPER I'VE BEEN WAITING FOR

NBER @nberpubs

6 days ago

FINALLY THE PAPER I'VE BEEN WAITING FOR

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Erik Brynjolfsson @erikbryn

a week ago

Economists must take seriously the transformative implications of AI for the economy: -economic growth -science and innovation -inequality -concentration of power -geo-economics -information and knowledge flows -catastrophic risk -new measures of well-being and -transition…

NBER @nberpubs

a week ago

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Ethan Mollick @emollick

a week ago

Some new theoretical economics papers looking at the implications of AGI. These two papers argue that a true AGI-level AI (equivalent to a human genius), if achieved, would eventually displace most human labor and reduce the economic value of remaining human work to near-zero.

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Wei Xu @cocoweixu

2 weeks ago

Paper accepted to #NeurIPS2025! 🎉 "Probabilistic Reasoning with LLMs" by my PhD student @JonathanQZheng → arxiv.org/abs/2503.09674 Super exciting! It moves beyond rigid math/logic reasoning into probabilistic reasoning, reflecting how people tackle many real-world problems.

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Subbarao Kambhampati (కంభంపాటి సుబ్బారావు) @rao2z

2 weeks ago

Yes, I peer reviewed DeepSeek-R1 paper for @Nature and hope to see more frontier model developers follow their lead of sharing peer-reviewed technical details of their work, and go beyond buzzy blogs and patronizing "yeah, we have done it this way too" post facto claims..🤞

Nature Portfolio @NaturePortfolio

2 weeks ago

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Jackson Atkins @JacksonAtkinsX

2 weeks ago

Princeton AI just solved impossible teamwork. New method: 95% win rate. Old methods: 0% win rate. They did it by replacing complex rewards with a single goal, unlocking self-taught cooperation. Here's how it works: The technique, Independent Contrastive RL (ICRL), teaches…

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Rohan Paul @rohanpaul_ai

2 weeks ago

🧰 Microsoft researchers studied how agents use the Model Context Protocol (MCP), and they found that when too many tools are available, agents start interfering with each other. 💡They call this problem tool-space interference. It shows up in several ways like bloated tool…

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Olivia Moore @omooretweets

2 weeks ago

OpenAI just released the largest-ever report on how consumers are using ChatGPT. It looks at millions of (anonymized) messages over the last 3 years to analyze usage evolution over time. Key takeaways 👇

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AK @_akhaliq

2 weeks ago

Google DeepMind presents Virtual Agent Economies

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Karl Mehta @karlmehta

4 weeks ago

He predicted: • AI vision breakthrough (1989) • Neural network comeback (2006) • Self-supervised learning revolution (2016) Now Yann LeCun's 5 new predictions just convinced Zuckerberg to redirect Meta's entire $20B AI budget. Here's what you should know (& how to prepare):

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Vivek Galatage @vivekgalatage

3 weeks ago

Understanding GPU Architecture from Cornell cvw.cac.cornell.edu/gpu-architectu… During a low-level discussion at a casual meetup, many folks were interested in understanding GPUs more closely. While CPUs optimize for complex control flow (see those big cores + caches), the GPUs maximize…