The @Tempo mainnet launched 93 days ago. Quick summary of the current state:
• Run rate payment volume is around $3 billion. There's a long way to go, but it's cool to see real usage already emerging. (It took Stripe a lot longer than 93 days to get to $3 billion.)
• As a blockchain, we obviously don't know about all the different use-cases. (Please tell us if you're doing something cool with Tempo!) Larger companies using Tempo include @Deel, which is using Tempo to pay out to their vast network of contractors, and @Meta, which is using it via @Link for global payouts. There are a bunch of other large companies working on Tempo integrations that'll be announced soon.
• Internally, developing on Tempo has been fun, and Tempo is now Stripe's default blockchain for new features.
• On the AI side of things, there appear to be around 1,000 active services selling to agents via the Machine Payments Protocol (@mpp). There's a useful directory of available services at https://t.co/fAZ5iA5nZc. 570 unique agents, for example, seem to have purchased from @ExaAILabs, and 332 from @openweather. I don't know how long it'll take for this use-case to become big, but it seems all-but inevitable that it will within a few years.
• Today, @Stripe, @Visa, and @StanChart are running Tempo validators. Validation will become more decentralized over time.
• The Tempo team is building a lot of new protocol functionality. For example, privacy zones, receive policies, and virtual addresses. (Details for all on the Tempo blog: https://t.co/jE7ltNIaj2.) In general, our belief is that there's a lot of functionality to be built at the blockchain level to make higher-level applications easy and performant.
The original thesis behind Tempo was that both AI and stablecoins would stretch blockchains in new ways, with need for privacy, fees denominated/payable in stablecoins, batch transactions, microtransactions, faster confirmations, and so forth. Overall, this still seems like the right set of bets, and the agentic stuff is happening somewhat faster than I was expecting. "1M stablecoin TPS, with the vast majority from agents" still seems like the right north star.
In October, I celebrated my 3-year anniversary at Chainlink Labs. If there's one lesson these 3 years in crypto have taught me, it's this: stay laser-focused on winning, and the results will follow. Our 2024 results speak for themselves, and we're just getting started.
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The recent OpenAI saga is a reminder of the delicate balance between idealism and pragmatism. Hardline idealists often overlook second-order effects, and when these are finally taken into account, they frequently find themselves further from their goals, not closer