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

Tweets

4K
Followers

10K
Following

9K
Likes

2K

Jackson Atkins @JacksonAtkinsX

20 hours ago

Meta Superintelligence Labs just made LLMs handle 16x more context and unlocked up to a 31x speedup. 🤯 Their new REFRAG framework rethinks RAG from the ground up to achieve this, all with zero drop in accuracy. Here's how it works: The core problem with long context is…

17 89 542 121K 557

Download Image

Ethan Mollick @emollick

3 days ago

This paper finds LLMs' ability to understand that others have different beliefs (Theory of Mind) comes from 0.001% of their parameters. Break those specific weights & the model loses both its ability to track what others know AND language comprehension. Interesting implications.

39 135 1K 76K 706

Download Image

Michael Bommarito @mjbommar

2 days ago

this is pretty cool if you ask me

3 1 2 320 0

Download Image

Brad Krajina @BradKrajina

5 days ago

Select your cell: I'm prototyping an interactive sc RNA-seq portal where the UMAP is dynamically linked to morphing 3D artistic renders of each cell type. You can play with the initial build below.

22 129 893 47K 389

Download Video

Kyle Corbitt @corbtt

5 days ago

🚨 We’ve just published a recipe to train a frontier-level deep research agent using RL. With just 30 hours on an H200, any developer can now beat Sonnet-4 on DeepResearch Bench using open-source tools. (Thread 🧵)

38 172 1K 207K 2K

Download Image

Dov Kleiman @NFL_DovKleiman

4 days ago

𝗕𝗥𝗘𝗔𝗞𝗜𝗡𝗚: Scott Hanson confirms NFL RedZone will now have FULL COMMERCIALS this season, not just overlay ads. He says the new intro will be... “7 Hours of RedZone Football start now!” What happened to the sport we love 😞💔

3K 2K 49K 7.0M 2K

Download Image

Rohan Paul @rohanpaul_ai

5 days ago

Massive proposal in this paper. Argues chips that compute with real physics, not strict digital rules, can relieve the AI compute bottleneck. Early prototypes hit 1000x speed and show steep energy cuts. AI demand keeps rising while data center power, training bills, and…

31 79 460 35K 379

Download Image

Fei-Fei Li @drfeifei

5 days ago

(1/N) How close are we to enabling robots to solve the long-horizon, complex tasks that matter in everyday life? 🚨 We are thrilled to invite you to join the 1st BEHAVIOR Challenge @NeurIPS 2025, submission deadline: 11/15. 🏆 Prizes: 🥇 $1,000 🥈 $500 🥉 $300

31 183 945 148K 424

Download Video

Jean-Rémi King @JeanRemiKing

6 days ago

Can AI help understand how the brain learns to see the world? Our latest study, led by @JRaugel from FAIR at @AIatMeta and @ENS_ULM, is now out! 📄 arxiv.org/pdf/2508.18226 🧵 A thread:

28 296 2K 203K 1K

Download Video

Ethan Mollick @emollick

6 days ago

A second paper also finds Generative AI is reducing the number of junior people hired (while not impacting senior roles). This one compares firms across industries who have hired for at least one AI project versus those that have not. Firms using AI were hiring fewer juniors

Seyed Mahdi Hosseini @SeyedMH98

7 days ago

17 158 633 539K 443

Download Image

71 361 2K 355K 838

Download Image

alex fazio @alxfazio

a week ago

if you’re going to use llms for coding, at least understand their weaknesses

2 12 64 4K 55

Download Image

Computational Legal @computational

a week ago

2025 Fantasy Draft is Complete ... ready for a great season ...

0 0 3 340 0

Download Image

Rohan Paul @rohanpaul_ai

a week ago

This paper explains how medical LLMs move from fact recall to careful step-by-step clinical reasoning. A 2B model trained with Reinforcement Learning beats a 72B supervised fine tuning model on medical imaging tasks. The survey traces this shift, away from retrieval, toward…

13 66 302 18K 303

Download Image

Andrew Ng @AndrewYNg

a week ago

Parallel agents are emerging as an important new direction for scaling up AI. AI capabilities have scaled with more training data, training-time compute, and test-time compute. Having multiple agents run in parallel is growing as a technique to further scale and improve…

114 359 2K 309K 1K

Jessy Lin @realJessyLin

2 weeks ago

🔍 How do we teach an LLM to 𝘮𝘢𝘴𝘵𝘦𝘳 a body of knowledge? In new work with @AIatMeta, we propose Active Reading 📙: a way for models to teach themselves new things by self-studying their training data. Results: * 𝟔𝟔% on SimpleQA w/ an 8B model by studying the wikipedia…

15 157 1K 126K 1K

Download Image

Ian Rapoport @RapSheet

a week ago

🚨 🚨 🚨 The #Cowboys are trading All-Pro Micah Parsons to the #Packers & they agreed to a 4-year, $188M deal done by @DavidMulugheta and @AndreOdom of @AthletesFirst including $136M gtd, per me, @TomPelissero & @SlaterNFL. At $47M per year, Parsons is the highest-paid non-QB…

2K 5K 25K 17.8M 977

Download Image

Rohan Paul @rohanpaul_ai

2 weeks ago

💡Fantastic, this new open-source, multi-agent AI system Anemoi, just solved a critical limitations of traditional AI agents. Great win for small language models (SLMs). 👏 Achieved 52.73% accuracy with a small LLM (GPT-4.1-mini) as the planner, surpassing the strongest…

11 52 244 16K 239

Download Image

Andrej Karpathy @karpathy

2 weeks ago

In era of pretraining, what mattered was internet text. You'd primarily want a large, diverse, high quality collection of internet documents to learn from. In era of supervised finetuning, it was conversations. Contract workers are hired to create answers for questions, a bit…

Prime Intellect @PrimeIntellect

2 weeks ago

117 397 3K 1.3M 2K

Download Video

263 860 7K 862K 5K

Rohan Paul @rohanpaul_ai

2 weeks ago

The paper shows how an LLM agent keeps improving by learning from its own memory, without changing the base model. It ranks top on GAIA validation at 87.88% Pass@3, with 79.40% on the private test. Most agent systems either rely on fixed workflows that never adapt, or burn…

20 119 619 41K 591

Download Image

Dwarkesh Patel @dwarkesh_sp

3 weeks ago

.@CJHandmer on how to feed the AIs. 0:00:00 – Why doesn’t China win by default 0:08:28 – Why hyperscalers choose natural gas over solar 0:18:01 – Solar's astonishing learning rates 0:27:02 – How to build 50,000 acre solar-powered data centers 0:40:24 – Environmental regulations…