
Jeremy Clark
@pulpspy
I do research on voting systems, TLS, Bitcoin, panic passwords and other topics in applied cryptography. // NOLINT
ID: 15011948
https://www.pulpspy.com 04-06-2008 23:48:02
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New comment in Nature by me and Sayash Kapoor on the risks of the extremely rapid ongoing adoption of AI in science nature.com/articles/d4158… One risk is that machine-learning-based modeling is tricky to do correctly and this has led to a reproducibility crisis, which our research has


Jeremy Clark Dan Robinson I think this phenomenon is fascinating. Are there some other examples from different fields? And is it a problem that deserves intervention? Curiosity-driven research seems like it should result in this sometimes, regardless of funding pressure



Polymarket Reminder: when the probability jumps up from 20% to 50%, that doesn't mean that it's going to keep going up until it hits 100%; rather, it means that it has a 50% chance of doing that, and a 50% chance of coming right back down to earth and then going further.



nader dabit Hyperliquid GTE Valhalla Avon World Capital Markets Love this! we actually broke this down in our FC 2022 paper w Jeremy Clark on onchain order books (arxiv.org/abs/2101.06291), made a table comparing CLOBs, AMMs, and call markets. CLOBs really stood out on price control, order types, and slippage. cool to see the same points here too!


Congrats to Mahsa Moosavi, PhD for becoming a PhD doctor today! She was doing research on Arbitrum when it was still on testnet, front running before we had the term “MEV”, and stablecoins almost 5 years ago. Well deserved!


Congrats to Barry for graduating with his masters degree! He became a polyIOP expert working on a book of gadgets (plonkbook.org) and succinct proofs of solvency! We will miss you at Concordia University but good luck University of Alberta!


congratulations to our very own Mahsa Moosavi, PhD on earning her PhD 👏 big moves only

