The Money Movement with Jeremy Allaire | Leaders in Blockchain, Crypto, DeFi & Financial Inclusion

The episode delivers genuine technical depth on FHE mechanics—coprocessor architecture, encrypted ERC20 wrappers, batch-swap privacy models, and pay-per-computation data markets—but is regularly diluted by the host's own editorial commentary and generic AI/crypto framing that adds no signal.

“if the data is encrypted in fhe, you don't have to sell your data. They can run their computation on your encrypted data, and you would only allow them to decrypt the result of the computation. So every time they want to use your data for a new computation, they have to pay you again”

“you could have your regular ERC20 token and you could deposit that into an FHC ERC20 wrapper from which all the transactions will become encrypted”

The privacy-vs-confidentiality distinction and the pay-per-computation data-licensing model are genuinely fresh framings; the ZK-vs-FHE composability argument is underappreciated. However, the broader AI/crypto intersection commentary is standard podcast fare repeated without new angles.

“confidentiality is actually a much bigger design space than privacy because it includes B2B transactions, for example, it includes KYC AML compliant stuff”

“you're no longer selling the data, you're selling the result of the computation in your data”

Hindi is a genuine deep-tech founder who has been in AI since 2003, built and sold a privacy-preserving AI company, and co-founded Zama with one of the actual inventors of FHE—he is a practitioner with real IP, not a thought-leader circuit rider. Scores short of the top tier only because no large-scale deployed systems exist yet.

“I've been in AI since 2003 and in crypto blockchain since 2013”

“who's one of the inventors of fhe”

The episode is notably more concrete than average, providing benchmarked transaction throughput numbers across time, a 100x speed improvement claim, and a Q1 2025 launch timeline, but stops short of naming any of the dozen protocols or providing customer/revenue evidence.

“When we started Zama, assuming you could do a smart contract, which you couldn't, but assuming you could, it would take about. You would basically be able to do one transaction every 10 seconds... We now at our level where we can do 20 transactions per second and we are on Track to enable 100 transactions per second next year on GPUs”

“we've made FHC about 100 times faster than when we started a company”

Allaire does ask technically grounded follow-ups (DEX complexity, Arbitrum L2 integration model) that draw out useful specifics, but he regularly consumes airtime with his own frameworks and frameworks ('fourth generation blockchain'), never challenges any performance or adoption claims, and the overall tone is collaborative promotion rather than scrutiny.

“But what about like a more complex, you know, you know, like a Dex. A Dex AMM or you know, something that is, you know, just executing quite a bit more complexity”

“I use this concept of like, we're currently in the third generation of blockchains and sort of we're moving towards the fourth generation of blockchains”