Megan Ma (@meganphma) 's Twitter Profile
Megan Ma

@meganphma

Associate Director @CodeXStanford | PearX for AI Advisor @PearVC | Managing Editor @ law.mit.edu | PhD in Law, @ED_SciencesPo

ID: 1268261101956927488

linkhttps://law.stanford.edu/directory/megan-ma/ calendar_today03-06-2020 19:19:51

658 Tweet

931 Followers

720 Following

CodeX Stanford (@codexstanford) 's Twitter Profile Photo

Register now for a special edition of #FutureLaw as we celebrate 20 years of CodeX! This landmark conference w/a week of groundbreaking programming will reflect on 2 decades of #Legaltech innovation & chart a course for the future. Don't miss it: conferences.law.stanford.edu/futurelaw2025/ #techlaw

Register now for a special edition of #FutureLaw as we celebrate 20 years of CodeX! This landmark conference w/a week of groundbreaking programming will reflect on 2 decades of #Legaltech innovation & chart a course for the future. Don't miss it: conferences.law.stanford.edu/futurelaw2025/ #techlaw
Neel Guha (@neelguha) 's Twitter Profile Photo

We’re really excited to share two new benchmark datasets for measuring end-to-end legal RAG systems–forthcoming at CS&Law 2025 (links below). With: Lucia Zheng, Javokhir Arifov, Sarah Zhang, Michal Skreta, Christopher Manning, Peter Henderson, and Daniel E. Ho.

CodeX Stanford (@codexstanford) 's Twitter Profile Photo

Join us for CodeX FutureLaw 2025 as we celebrate 20 years of CodeX! This landmark conference reflects on 2 decades of legal tech innovation and charts a bold future with leading academics, entrepreneurs, lawyers, policymakers & more. conferences.law.stanford.edu/futurelaw2025/ #FutureLaw #LegalTech

Join us for CodeX FutureLaw 2025 as we celebrate 20 years of CodeX! This landmark conference reflects on 2 decades of legal tech innovation and charts a bold future with leading academics, entrepreneurs, lawyers, policymakers & more. conferences.law.stanford.edu/futurelaw2025/ #FutureLaw #LegalTech
CodeX Stanford (@codexstanford) 's Twitter Profile Photo

2025: The Year of AI Agents—Are We Ready? AI agents promise collaboration, but most legal workflows still resemble assembly lines. The Co-Gym framework shows that real-time human-AI engagement can improve decision-making in M&A deals and beyond. More here: law.stanford.edu/2025/04/01/ret…

2025: The Year of AI Agents—Are We Ready?
AI agents promise collaboration, but most legal workflows still resemble assembly lines. The Co-Gym framework shows that real-time human-AI engagement can improve decision-making in M&A deals and beyond. More here:
law.stanford.edu/2025/04/01/ret…
Jay Mandal (@jmandal99) 's Twitter Profile Photo

Megan Ma and I are excited to share our research paper on AI agents. We explore & apply a new collaborative framework for how humans and AI agents can handle the highly dynamic workflows of knowledge workers. We start with a legal workflow—M&A deal process—with more to come!

James Zou (@james_y_zou) 's Twitter Profile Photo

Can LLMs learn to reason better by "cheating"?🤯 Excited to introduce #cheatsheet: a dynamic memory module enabling LLMs to learn + reuse insights from tackling previous problems 🎯Claude3.5 23% ➡️ 50% AIME 2024 🎯GPT4o 10% ➡️ 99% on Game of 24 Great job Mirac Suzgun w/ awesome

Can LLMs learn to reason better by "cheating"?🤯

Excited to introduce #cheatsheet: a dynamic memory module enabling LLMs to learn + reuse insights from tackling previous problems
🎯Claude3.5 23% ➡️ 50% AIME 2024
🎯GPT4o 10% ➡️ 99% on Game of 24

Great job <a href="/suzgunmirac/">Mirac Suzgun</a> w/ awesome
Harry Surden (@harrysurden) 's Twitter Profile Photo

In celebration of Stanford's Codex Center's CodeX Stanford's 20 year anniversary, Stanford Law School produced this retrospective video about the center's founding and work. I am grateful to Roland Vogl, Mike Genesereth, Megan Ma, and the rest of the amazing Community. cc:Colorado Law

In celebration of Stanford's Codex Center's <a href="/CodeXStanford/">CodeX Stanford</a>'s 20 year anniversary, <a href="/StanfordLaw/">Stanford Law School</a> produced this retrospective video about the center's founding and work.

I am grateful to Roland Vogl, Mike Genesereth, Megan Ma, and the rest of the amazing Community.

cc:<a href="/ColoLaw/">Colorado Law</a>
Stanford Law School (@stanfordlaw) 's Twitter Profile Photo

SLS's CodeX Stanford published a recent article, "Rethinking Human – AI Agent Collaboration for the Knowledge Worker," on how generative AI tools impact the workforce. Read more here: stanford.io/3GdBWrl

Schwartz Reisman Institute (@torontosri) 's Twitter Profile Photo

Absolutely Interdisciplinary Panel Announcement: Navigating autonomy and accountability in AI agents Megan Ma, Atrisha Sarkar & moderator Anna Su ([email protected]) will examine the ethical, legal, & policy challenges of governing AI agents. Register: absolutelyinterdisciplinary.com

Absolutely Interdisciplinary Panel Announcement: Navigating autonomy and accountability in AI agents

<a href="/MeganPHMa/">Megan Ma</a>, <a href="/atrishasarkar/">Atrisha Sarkar</a> &amp; moderator <a href="/theannasu/">Anna Su (theannasu@bsky.social)</a> will examine the ethical, legal, &amp; policy challenges of governing AI agents.

Register: absolutelyinterdisciplinary.com
Diyi Yang (@diyi_yang) 's Twitter Profile Photo

🚀 Introducing CAVA: The Comprehensive Assessment for Voice Assistants A new benchmark for evaluating end-to-end, speech-in-speech-out voice assistants in real-world scenarios. We go beyond single tasks or metrics to test the capabilities required for voice assistants:

🚀 Introducing CAVA: The Comprehensive Assessment for Voice Assistants

A new benchmark for evaluating end-to-end, speech-in-speech-out voice assistants in real-world scenarios.

We go beyond single tasks or metrics to test the capabilities required for voice assistants:
Surya Ganguli (@suryaganguli) 's Twitter Profile Photo

Had fun presenting at Harvard University's Kempner Institute at Harvard University on Theories of rapid learning, creativity, and reasoning: of mice and machines Video: youtube.com/watch?v=jLmK0l… Papers: Rapid learning: nature.com/articles/s4158… Creativity: arxiv.org/abs/2412.20292 Math reasoning: arxiv.org/abs/2502.07154

Stanford Law School (@stanfordlaw) 's Twitter Profile Photo

From experimentation to enterprise‑ready: How can companies build and use generative AI responsibly and at scale? A new white paper by Dr. Megan Ma (liftlab) and Jay Mandal (CodeX Stanford) offers an updated playbook for the next phase of AI: law.stanford.edu/publications/b…

shreya rajpal (@shreyar) 's Twitter Profile Photo

Introducing ❄️ Snowglobe, the simulation engine for AI chatbots. Magically simulate the behavior of your users to test and improve your chatbots. Find failures before your users do.

shreya rajpal (@shreyar) 's Twitter Profile Photo

Snowglobe makes it easy to simulate realistic user conversations at scale so you can reveal the blind spots where your chatbots fail, and generate labeled datasets for finetuning them. Try today at snowglobe.so

Cartesia (@cartesia_ai) 's Twitter Profile Photo

Introducing Line by Cartesia: the modern voice agent development platform. Line was built to be code-first, because best-in-class products are built in code. ▶️ Watch us build an advanced voice agent with background reasoning in just minutes.

Karan Goel (@krandiash) 's Twitter Profile Photo

It's incredible how easy it is to create conversational voice agents. This used to be alien technology a few years ago. It now takes 1 minute to build yourself an agent at play.cartesia.ai/agents.

Fei-Fei Li (@drfeifei) 's Twitter Profile Photo

A picture now is worth more than a thousand words in genAI; it can be turned into a full 3D world! And you can stroll in this garden endlessly long, it will still be there.

Diyi Yang (@diyi_yang) 's Twitter Profile Photo

Introducing ✨Generative Interfaces where LLMs respond to users by proactively generating UIs that enable adaptive interaction 🎹 Piano practice tools, 🤖 neural net animations, and more🪄

Delip Rao e/σ (@deliprao) 's Twitter Profile Photo

Personally, Christopher Manning is such an inspiration and someone I have unfalteringly admired in the past 15 years or so of working in NLP. Imagine producing phd students who have, in their own right, become stars, repeatedly producing test-of-time science, being responsible for