Neel Guha (@neelguha) 's Twitter Profile
Neel Guha

@neelguha

JD-PhD candidate in computer science @Stanford

ID: 1062741167371141123

linkhttp://www.neelguha.com calendar_today14-11-2018 16:16:53

370 Tweet

894 Followers

709 Following

Karan Goel (@krandiash) 's Twitter Profile Photo

We've been tirelessly working for the last few years to change how machines think. H-Net unlocks the next step of architecture scaling, bringing together many of the lessons learned in the last 5 years of SSM research to break fundamentally new ground in learning end to end

AI at AMD (@aiatamd) 's Twitter Profile Photo

We’re thrilled to collaborate with the hazyresearch Stanford AI Lab, led by Chris Ré, to power Minions, their cutting-edge agentic framework tackling the cost-accuracy tradeoff in modern AI systems. This innovation is enabled on AMD Ryzen AI, thanks to seamless integration with

We’re thrilled to collaborate with the <a href="/HazyResearch/">hazyresearch</a> <a href="/StanfordAILab/">Stanford AI Lab</a>, led by Chris Ré, to power Minions, their cutting-edge agentic framework tackling the cost-accuracy tradeoff in modern AI systems.

This innovation is enabled on AMD Ryzen AI, thanks to seamless integration with
Danny Wilf-Townsend (@drmtown) 's Twitter Profile Photo

A very pleasant surprise to listen to one of my favorite podcasts and hear my own work being discussed. And it's an excellent episode and overview for anyone thinking of AI's effects on the legal profession. Some thoughts / suggestions below for anyone who wants further reading:

Ryan Ehrlich (@ryansehrlich) 's Twitter Profile Photo

Thank you for the kind words -- we can't either! We're really excited about models learning new things and remembering their experience, and we think that Cartridges is a step towards that future. My co-author Sabri Eyuboglu will be giving a talk on Cartridges at ES-FoMo@ICML2025 at

Scott Swingle (@bio_bootloader) 's Twitter Profile Photo

Cartridges could be this "missing learning paradigm" Karpathy talks about 1) agent does tasks, collects memories that help it do better via ICL 2) memories are trained / compacted into Cartridges 3) Cartridges shared / composed / RAG-ed between other agents

Cartridges could be this "missing learning paradigm" Karpathy talks about

1) agent does tasks, collects memories that help it do better via ICL
2) memories are trained / compacted into Cartridges
3) Cartridges shared / composed / RAG-ed between other agents
Arjun Ramani (@arjun_ramani3) 's Twitter Profile Photo

NEW ESSAY: "Dispatches from India" A year ago I was living in New Delhi, India 🇮🇳. I traveled across 10 states and 30 cities+villages writing for The Economist, including a cover story on the economy Since then I’ve been chewing on how to capture what I learned It still

NEW ESSAY: "Dispatches from India"

A year ago I was living in New Delhi, India 🇮🇳. I traveled across 10 states and 30 cities+villages writing for The Economist, including a cover story on the economy

Since then I’ve been chewing on how to capture what I learned

It still
Brian Fitzpatrick (@btfitzpat) 's Twitter Profile Photo

We took a look at whether the Eleventh Circuit’s decision banning special payments to class representatives had the deleterious effect on class actions I thought it would. Answer: no. Turns out people aren’t rational. 🤷‍♂️

We took a look at whether the Eleventh Circuit’s decision banning special payments to class representatives had the deleterious effect on class actions I thought it would. Answer: no. Turns out people aren’t rational. 🤷‍♂️
Nicholas Handler (@nhandler12) 's Twitter Profile Photo

I'm excited that my next article, "The Administrative Law of McCarthyism," will be published in the Stanford Law Review. It explores how civil service law evolved in response to McCarthy era loyalty purges, and how courts drew on administrative law to fashion cs protections.

I'm excited that my next article, "The Administrative Law of McCarthyism," will be published in the Stanford Law Review. It explores how civil service law evolved in response to McCarthy era loyalty purges, and how courts drew on administrative law to fashion cs protections.
Yonathan Arbel (@profarbel) 's Twitter Profile Photo

🚨🚨🚨Can judges really know what “reasonable people” think? Can AI help bridge that gap—and can AI agents themselves behave “reasonably” in the wild? A new draft, The Silicon Reasonable Person, asks these questions. tl;dr: early signs point to yes, with careful limits.

🚨🚨🚨Can judges really know what “reasonable people” think? Can AI help bridge that gap—and can AI agents themselves behave “reasonably” in the wild? 

A new draft, The Silicon Reasonable Person, asks these questions. 

tl;dr: early signs point to yes, with careful limits.
Eric Nguyen (@exnx) 's Twitter Profile Photo

✨ Excited to share a few life updates! 🎤 My TED Talk is now live! I shared the origin story of Evo, titled: "How AI could generate new life forms" TED talk: ted.com/talks/eric_ngu… ✍️ I wrote a blog post about what it’s *really* like to deliver a TED talk blog:

Alex Chohlas-Wood (@lx_cw) 's Twitter Profile Photo

Have you ever forgotten an important date—like a birthday for a loved one? Now imagine if forgetting meant ending up in jail. Two years ago, we ran a randomized experiment that found that text message reminders reduce jail stays for missed court dates by over 20%.

Have you ever forgotten an important date—like a birthday for a loved one?

Now imagine if forgetting meant ending up in jail.

Two years ago, we ran a randomized experiment that found that text message reminders reduce jail stays for missed court dates by over 20%.
Lawrence Solum (@lsolum) 's Twitter Profile Photo

Please help me get the word out about the new websites for Legal Theory Blog and the Legal Theory Lexicon. Reposting here and on other social media sites is great. It would be especially helpful if law school faculty members could send an email to their colleagues with the new

Matthew Sag (@matthewsag) 's Twitter Profile Photo

How should law schools adapt to generative AI? my new paper, AI Policies for Law Schools, proposes a template policy and explains why we should prepare students for legal practice as it will be, not as it was. 📄 papers.ssrn.com/sol3/papers.cf…

Karan Goel (@krandiash) 's Twitter Profile Photo

We've raised $100M from Kleiner Perkins, Index Ventures, Lightspeed, and NVIDIA. Today we're introducing Sonic-3 - the state-of-the-art model for realtime conversation. What makes Sonic-3 great: - Breakthrough naturalness - laughter and full emotional range - Lightning fast -

Penn Radiology (@pennradiology) 's Twitter Profile Photo

Meet this week’s R1 spotlight—Sharika Bamezai! Hailing from Downingtown, PA, she earned her bachelor's at Penn & her medical degree at Michigan Medicine! She’s passionate about pediatric IR, venous interventions, and vascular biology.

Meet this week’s R1 spotlight—Sharika Bamezai! Hailing from Downingtown, PA, she earned her bachelor's at Penn &amp; her medical degree at <a href="/umichmedicine/">Michigan Medicine</a>! She’s passionate about pediatric IR, venous interventions, and vascular biology.
Alexander Spangher (on the faculty job market) (@alexanderspangh) 's Twitter Profile Photo

✨ Very overdue update: I'll be starting as an Assistant Professor in CS at University of Minnesota, Twin Cities, Fall 2026. I will be recruiting PhD students!! Please help me spread the word! [Thread] 1/n

✨ Very overdue update: 

I'll be starting as an Assistant Professor in CS at University of Minnesota, Twin Cities, Fall 2026. I will be recruiting PhD students!! 

Please help me spread the word! [Thread] 1/n
Jon Saad-Falcon (@jonsaadfalcon) 's Twitter Profile Photo

Data centers dominate AI, but they're hitting physical limits. What if the future of AI isn't just bigger data centers, but local intelligence in our hands? The viability of local AI depends on intelligence efficiency. To measure this, we propose intelligence per watt (IPW):

Data centers dominate AI, but they're hitting physical limits. What if the future of AI isn't just bigger data centers, but local intelligence in our hands?

The viability of local AI depends on intelligence efficiency. To measure this, we propose intelligence per watt (IPW):