I research entrepreneurship, innovation, and AI. Following calling w @Alexakaye3 & thanking God for it. Like != endorsement
Joined October 2009
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Very interesting read. A small part of the paper, but think there is great value in embedding model robustness in this process described on p.7
🧵[8/n] In conclusion, practitioners should be more cautious about administering tests of human creativity to LLMs. ⚠️
Paper: arxiv.org/abs/2605.13450
Thanks to co-authors @AlexiGlad @jonahablack @hengjinlp for writing this with me!
This paper will be featured in #NeurIPS2026!
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The discussion on shared cores is great
🗺️ @JessicaRumbelow Exemplar Partitioning
An audaciously simple algorithm that reveals interpretable structure inside models, producing an elegant geometry you can read like a map.
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A lot of AI content can be categorized as shiny coins or dull $100 bills often taking the same amount of time to consume.
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Agentic organizations & companies as well as governance & orchestration approaches have me thinking more about org culture. Lots of individual approaches on agent persona/values, surprised there isn't a pip repo to distill "culture" from one group of agents to another. Could easily see the agentic persona marketplace moving into these areas.
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Interesting on persona dropout technique: humanlm.stanford.edu/blog_pe…
We share two blogs outside of the HumanLM paper: humanlm.stanford.edu/blog.ht…
Is Synthetic Data Good Enough to Train User Simulators? — by me and @ArpandeepKhatua
Persona Dropout Makes Robust User Simulators @Es2C003
+ Code is ready here! github.com/zou-group/humanlm
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Have you seen any physical /stop buttons for OpenClaw yet?
What was I talking about yesterday?
OpenAI can put @openclaw on a small device.
I could see buying several and leaving one in each of our cars.
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Cool approach to deal with fragmented PII snippets across context
🚨New paper to level up your 🦞#Clawdbot ?!
Bots are now posting your sensitive info in real time. But privacy research is a desert with no data to train better models. That's about to change
Enter 🏝️Privasis, the oasis where you can train strong privacy-forward AI with scale✨
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Very cool for the aircraft enthusiast. RT@AAAEsean Virtual Airplane Museum. Every airplane ever built. Awesome. bit.ly/1TU382