The Initiative for CryptoCurrencies and Contracts | Stay Ahead of Blockchain Research📍Cornell Tech, NYC
New York, NY
Joined June 2016
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Are stablecoins just crypto trading chips, or are they evolving into everyday digital cash?
In Ep. 5 of Proof of Research, @gordonliao, Chief Economist & Head of Research at @circle, discusses key findings from his "Five Facts About Stablecoins" paper. We cover:
- Stablecoin volumes decoupling from crypto market volatility
- A new Bayesian methodology that highlights the global footprint of stablecoin activity
- Historical banking crises and programmable smart contracts eliminating discretionary banking risk
"If [stablecoins were] just for digital asset trading, I wouldn't be sitting here today."
@Circle Chief Economist & former Fed economist @gordonliao breaks down how stablecoin usage has quietly decoupled from market speculation, shifting into everyday payments and behaving more like physical cash.
EP 5 of Proof of Research drops 10.15.26 👇
"Five Facts About Stablecoins" is a new research paper by @gordonliao, IC3's @WillCong2 (Nanyang Technological University) and @EswarSPrasad (@Cornell), and Tony Zhang (@ASU)
Head to stablecoinfivefacts.org/ to learn more:
IC3 retweeted
François-Xavier Wicht explains how transaction tracing can expand into mass surveillance and why his team set out to limit its reach
Can regulators trace suspicious transactions without creating permanent financial surveillance?
@btschiller speaks with François-Xavier Wicht, a PhD researcher at the University of Bern, about a newly released paper proposing ephemeral coin tracing, a cryptographic approach designed to limit how far transaction tracing can extend.
youtu.be/uXgm-W391eA
How can you balance user privacy and regulatory compliance? Ephemeral Coin Tracing might be the answer.
Catch the latest Privacy Podcast episode featuring IC3's François-Xavier Wicht:
Can regulators trace suspicious transactions without creating permanent financial surveillance?
@btschiller speaks with François-Xavier Wicht, a PhD researcher at the University of Bern, about a newly released paper proposing ephemeral coin tracing, a cryptographic approach designed to limit how far transaction tracing can extend.
youtu.be/uXgm-W391eA
Get to know the researchers behind the papers:
@danivilardell77 is a PhD student at @Cornell_Tech and a key member of IC3.
In a new @CornellGrad Student Spotlight, Dani shares his research interests, hobbies, and one of his latest projects—investigating “unstoppable” AI agents.
Read the full interview here: gradschool.cornell.edu/spotl…
IC3 retweeted
@danivilardell77, who recently received an Ethereum Foundation PhD fellowship, was featured in the Cornell Graduate School Student Spotlight. Dani's a dynamo and a delight to work with, qualities that come across clearly in this short article.
gradschool.cornell.edu/spotl…
IC3 retweeted
The latest episode of Proof of Research is live! 🎙️
IC3's @sjbreck & @danivilardell77 join @mrrongxin to discuss their recent paper, πCreds, and how TEEs + LLMs are expanding the possibilities for privacy-preserving credentials.
Traditional zero-knowledge circuits are great for simple checks (like proving age > 18), but struggle with broader semantic reasoning.
By using LLMs and Trusted Execution Environments, πCreds allows users to prove complex claims without exposing their underlying data.
🎧 Catch the full conversation:
The latest episode of Proof of Research is live! 🎙️
IC3's @sjbreck & @danivilardell77 join @mrrongxin to discuss their recent paper, πCreds, and how TEEs + LLMs are expanding the possibilities for privacy-preserving credentials.
Traditional zero-knowledge circuits are great for simple checks (like proving age > 18), but struggle with broader semantic reasoning.
By using LLMs and Trusted Execution Environments, πCreds allows users to prove complex claims without exposing their underlying data.
🎧 Catch the full conversation:
AI credentials are becoming an important part of global commerce and user verification. But what if the outputs aren’t always accurate?
It could mean the difference between getting a loan or being rejected. Stress-testing how easily AI systems can be manipulated is how you build reliable technology.
On Thursday’s episode of Proof of Research, IC3’s @danivilardell77 & @sjbreck talk about their work, πCreds, and why adversarial data attacks are an important thing to think about for LLM applications moving forward.
Will financial innovation dethrone the dollar, or make it stronger?
In a new @FT op-ed based on his Jackson Hole paper, IC3 faculty @EswarSPrasad breaks down how stablecoins and blockchain tech could entrench USD dominance rather than dismantle it:
ft.com/content/1481e787-77dc…
IC3 retweeted
Incredible chance to interview Dani and Sam on their work with @AriJuels and thank you @initc3org!
How do you audit proprietary AI code without giving away your secret sauce?
By combining TEEs with LLM agents, you can cryptographically verify closed-source code for backdoors, vulnerabilities, and GDPR compliance — without ever making it public.
In EP4 of Proof of Research, IC3's @danivilardell77 & @sjbreck unpack how their research, πCreds, solves the private software trust problem.
Full episode drops 09.24.26 🎙️👇
How do you audit proprietary AI code without giving away your secret sauce?
By combining TEEs with LLM agents, you can cryptographically verify closed-source code for backdoors, vulnerabilities, and GDPR compliance — without ever making it public.
In EP4 of Proof of Research, IC3's @danivilardell77 & @sjbreck unpack how their research, πCreds, solves the private software trust problem.
Full episode drops 09.24.26 🎙️👇
1/ After 10 weeks of building, testing, and shape rotating, we’re thrilled to announce the Shape Rotator Accelerator award recipients.
Over $250K was awarded to teams that demonstrated standout product strength, contributed to public goods, and productionized IC3 research.
🤖 Made with AI
5/ Finally, a shoutout to the teams that incorporated IC3 research into their projects:
🔬 github.com/kkoci/Dealproof TEE-based AI agent negotiation protocol
🔬 dstack.org: Run confidential AI and private inference in confidential VMs
🔬 Infinite Drip: CPU-friendly PoW faucet humans and agents can use to obtain cryptocurrency (IC3 Blockchain Camp hackathon winner)
🔬 pramaana.lovable.app: Post-quantum identity
🔬 synclave.net: Verifiable confidential boundaries for prompts, models, databases, and agent state
🔬 Periscope: Private search
🔬 wikigen.me: Attested markets for private intelligence
6/ The Shape Rotator Accelerator was a collaboration between IC3, Flashbots, @theBBFund, and The Convent.
Shape Rotator was designed as a cohort, not just a competition. To every builder, mentor, judge, reviewer, and contributor: thank you.
The teams shipped in public, changed course when the evidence demanded it, shared tools, and overall made one another’s work better.