Michael Ryan

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Michael Ryan

Michael Ryan

@michaelryan207

PhD Student @stanfordnlp || Working on DSPy 🧩 || Prev @GeorgiaTech @Microsoft @SnowflakeDB

Palo Alto, CA Katılım Aralık 2019
1.4K Takip Edilen2.4K Takipçiler
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Michael Ryan
Michael Ryan@michaelryan207·
Human feedback is so critical for evaluating subjective AI systems -- and yet so costly to collect. Come talk to me about AutoMetrics at #ICLR2026 🇧🇷! With <100 feedback points we generate automatic evaluation metrics for your task that beat hand crafted LLM-as-a-Judge rubrics by up to +33.4% improvement in correlation to human judgements!
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Yijia Shao
Yijia Shao@EchoShao8899·
AI is getting incredibly powerful, yet most of that power only reaches software domain. The next frontier isn't building more agents, but a collaboration layer between humans and AI. As a first step, we're open-sourcing Coco: a proactive co-assistant that help at the right time. Blog post: collaborative-agents.github.io Code: github.com/collaborative-…
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Pouya Sadeghi
Pouya Sadeghi@Ipouyall·
🏆 Thrilled that our ACL 2026 paper “To Lie or Not to Lie?” was selected as an ACL 2026 SAC Highlight! 🎉 The work asks a simple but urgent question: are LLMs equally safe around the world? 🧵👇 @aclmeeting #ACL2026NLP #NLProc
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zohaib
zohaib@karela38925748·
🚨 New paper: To Lie or Not to Lie? We investigate a worrying question: Are LLMs equally safe when asked to generate misinformation across different countries and languages? We find the answer is no: misinformation generation varies systematically by language and geography.
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Yanzhe Zhang
Yanzhe Zhang@StevenyzZhang·
EXCITED to share that I’ll be joining the University of Hong Kong (HKU) as an Assistant Professor in January 2027! I’m interested in AI agents 🤖, Human-AI Interaction 🤝 and their safety🛡️. Email me if you’d like to chat! I’ll also be at ACL from July 3–6! stevenyzzhang.github.io/website/
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Michael Ryan
Michael Ryan@michaelryan207·
Go work with Yanzhe!! Top tier researcher/mentor, and a world class expert in real-world agent safety/risks 🤖! Will make an excellent advisor 🙌
Yanzhe Zhang@StevenyzZhang

EXCITED to share that I’ll be joining the University of Hong Kong (HKU) as an Assistant Professor in January 2027! I’m interested in AI agents 🤖, Human-AI Interaction 🤝 and their safety🛡️. Email me if you’d like to chat! I’ll also be at ACL from July 3–6! stevenyzzhang.github.io/website/

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Weiyan Shi
Weiyan Shi@shi_weiyan·
Ever watch an agent solve a problem with 100% confidence and get it completely wrong? You can fix it… if you catch it. But then you need to watch every… single… run. New paper: We show that a meta-agent can do this for you, so your agents get ~2x more done on their own. 🧵
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David Hall
David Hall@dlwh·
I wrote about why more of that process knowledge should become public, and why Marin is organized around open development of frontier AI. openathena.ai/blog/open-deve…
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Michelle Lam
Michelle Lam@michelle123lam·
After over 10 years at Stanford, it's time to leave :) I will be joining UT Austin's CS department as an assistant professor in fall 2027! If you're excited to envision the future of interaction with AI, I'm recruiting PhD students this cycle. Come join me!
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Augmented Mind Podcast
Augmented Mind Podcast@augmind_fm·
In EP5, we're thrilled to talk with Prof. Jeremy Avigad. Jeremy is a math philosopher at @CarnegieMellon and early contributor to LEAN. With all the recent math AI advances, it's inspiring to hear why he has tremendous faith in mathematics and how AI can augment us. Preview:
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Augmented Mind Podcast
Augmented Mind Podcast@augmind_fm·
The AM Podcast EP5 is around the corner. 👀🧑‍🍳 You may have seen the viral post about OpenAI math breakthrough. For EP5 we sat down with Jeremy Avigad, co-creator of @leanprover before that and the conversation is incredible. Jeremy shares not just the Lean project, but also - The verification gap in human-AI collaboration - How AI is changing mathematics - The future of math education - Capital, startups, and the mathematician's ecosystem - ... Stay tuned and subscribe our YouTube channel for latest updates!
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Shannon Shen
Shannon Shen@shannonzshen·
"Evolve your repo, not just your agent." Self-evolving repository (SEPO) is a fun idea that I’ve been exploring recently. @sepoagent turns any GitHub repo into a shared workspace for humans and coding agents.
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Augmented Mind Podcast
Augmented Mind Podcast@augmind_fm·
Join us this Thursday May 28th 6-7pm PST for our first ever AM Podcast Live Stream! 🎉 We are hosting @cjziems, @dorazhao9, and @Diyi_Yang for a discussion on their new paper "Reflections and New Directions for Human-Centered Large Language Models"! RSVP 🔗⬇️
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Percy Liang
Percy Liang@percyliang·
Not only do we want to train a good model, we want to know it'll be good before we even start training. About a month ago, the Marin team launched a 129B (16B active) 1e23 FLOPs MoE run and preregistered a loss of 2.252. The run finished this past week and landed at 2.234. x.com/percyliang/sta…
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Percy Liang@percyliang

This week, @classiclarryd kicked off a 129B (16B active) 1e23 FLOPs MoE run. In typical Marin style, we have fit scaling laws and have made a loss projection of 2.252. Stay tuned.

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Saurabh Shah
Saurabh Shah@saurabh_shah2·
@aryaman2020 We talked about other stuff too!! Like adjusting beta 2 for batch size
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Saurabh Shah
Saurabh Shah@saurabh_shah2·
one of my least favorite sf-isms is doing this sorta faux-math stuff to make a vibes-based argument seem grounded in something guys it’s ok to say “i think this is true but it’s just a gut feeling” pls
François Fleuret@francoisfleuret

Serious take: The optimistic "AI will not replace humans for sophisticated reasonning problems, the best will be collaboration" has no rationale of any sort. If AI > Human, then \forall alpha > 0, AI > (1-alpha)*AI + alpha*Human

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Diyi Yang
Diyi Yang@Diyi_Yang·
The next frontier of AI is not only more capable model; it is an AI that *humans* can meaningfully live and work with :) With all students in my cs329x Human-Centered LLM class, we present 60+ pages of insights for developing Human-Centered LLMs (HCLLMs), from design & data sourcing to training, eval & deployment 🧵
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Yijia Shao
Yijia Shao@EchoShao8899·
Tomorrow (5/19), 6–7pm PT: We're going live for the first time to share how to collaborate with AI agents more effectively 🤖 Thrilled (and a little nervous!) to see so many RSVPs. As Stanford Qualtrics console is down😅, we can't reach everyone directly — here's your calendar link: partiful.com/e/sR1cyXbpzya7…
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Yijia Shao@EchoShao8899

After our major update to Collaborative Gym, the most common questions have been about the human side. Here’s a detailed thread on key findings from human workers’ CollabSkill 👇 🎙️ Motivated by these, we’re doing a YouTube livestream next Tuesday (5/19) — a crash course on meaningfully collaborating with AI agents.

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Saurabh Shah
Saurabh Shah@saurabh_shah2·
talkin to professors is fun they are smart and nice
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Keşfet

@aclmeeting @StevenyzZhang @michelle123lam @CarnegieMellon @leanprover @sepoagent @cjziems @dorazhao9