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Canglong ✨Ⓜ️Ⓜ️T
3,627 Twitter followers
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Canglong ✨Ⓜ️Ⓜ️T
02-04
Thread
#Thread#
Near-Inevitable Partnership: @CodeXero_xyz × @SeiNetwork The first principle of vibe coding is minimizing the distance between an idea and a working app deployed on-chain. If deployment is slow, fees are high, or confirmations take too long, the experience is essentially broken. This is exactly the core problem that Sei is designed to solve: ▸ Sub-second finality → deploy and use instantly ▸ Near-zero fees → iterate continuously without cost pressure ▸ Parallel execution + order-matching engine → ideal for games, DeFi, and social apps → This is what turns CodeXero into a real, usable tool. Over 40,000 daily users show that the loop of ship → feedback → ship is running efficiently. The community has already built and deployed a wide range of apps on the Sei testnet: multiplayer games, game clones, and social MVPs that are usable immediately. As Sei pushes deeper into AI and high-performance applications, CodeXero becomes the interface layer that lets builders bring ideas and AI on-chain, without wrestling with the full Web3 stack. You could call this a necessary symbiosis. Sei provides speed and infrastructure. CodeXero brings builders, dApps, and new users. And it’s already happening.
SEI
4.41%
Canglong ✨Ⓜ️Ⓜ️T
01-04
Thread
#Thread#
Your therapist takes notes. Most AI companions today are essentially those notes. The difference is: they usually don’t belong to you. In recent years, this risk is no longer hypothetical: ▸ BetterHelp fined for sharing mental health data with Facebook and Snapchat for ads,
Canglong ✨Ⓜ️Ⓜ️T
12-28
Thread
#Thread#
The market is pricing zkML as a research infrastructure. While the regulatory clock is already locked in. The EU AI Act is in force. Enforcement starts in 2026. High-risk AI deadlines land in 2027–2028. Penalties are a % of global revenue, not warnings. That means: enterprises must prepare ahead of time, not after getting fined. Markets price attention. Enterprises buy on calendars. When legal and risk enter the boardroom, the deciding factor becomes: what can be proven. Infrastructure will be chosen based on its ability to pass future audits. zkML is mispriced on timing, not on technology. It’s a tool for compliance teams in 2027. In that context, @inference_labs looks very different: ▸ already running at production scale ▸ proofs stored permanently ▸ economics solved before enforcement begins The real buyers aren’t on Twitter yet. They show up in boardrooms in 2026. The market is pricing by the hype cycle. Enterprises buy by regulatory timelines. And that gap is alpha.
ZKML
8.19%
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