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The Modular Layer for Consumer AI. Backed by @animocabrands & @YZilabs

Tabi
Joined January 2021
Photo by Tabi 💢 (@TabiVibe)Photo by Tabi 💢 (@TabiVibe)Photo by Tabi 💢 (@TabiVibe)Photo by Tabi 💢 (@TabiVibe)Photo by Tabi 💢 (@TabiVibe)Photo by Tabi 💢 (@TabiVibe)Photo by Tabi 💢 (@TabiVibe)Photo by Tabi 💢 (@TabiVibe)Photo by Tabi 💢 (@TabiVibe)Photo by Tabi 💢 (@TabiVibe)
1/6 Tabi: the Modular Layer for Consumer AI. It is the composable, onchain-native infrastructure for the next generation of AI Agents.
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No implicit deployment. No hidden broadcast. Execution only opens after explicit confirmation. 💢
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Tabi nodes just completed three rounds of security upgrades. 🔒 This update strengthens three critical areas: → Wasm runtime security → Multisig transaction validation → EVM transaction parsing Malformed signatures, invalid multisig structures, abnormal Blob data, addresses, access lists and transaction fields are now rejected earlier — before they can impact node execution. Wasm runtime has also been upgraded to v1.5.9, with regression testing covering normal transaction encoding, hashes and historical queries. Stricter validation. Smaller attack surface. Same normal user flow. Tabi V3 keeps hardening. 💢
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Tabi 💢 retweeted
dancing shiro
Replying to @OpenAI
GIFS! With ChatGPT Images 2.6, turn a prompt or image into an animated GIF. Adjust the speed, edit individual frames, and share it on repeat.
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CLARITY Act delay would be a setback for clearer rules, but consumer finance infrastructure doesn’t pause for election cycles. Payments, identity, and real-world utility still need to keep shipping. Clarity helps, but adoption is driven by products people actually use.
MIDTERMS: 🗳️ Here’s what’s at stake for crypto tonight. 🎯 Prediction markets: Dems 94% to win the House, 76% for the Senate (Kalshi/Polymarket via Blockchain Association) 💰 Crypto PACs spent ~$176M+ across 100+ races ⚖️ Key race: Ohio, where crypto groups spent $50M+ against Sherrod Brown 📜 The CLARITY Act likely gets delayed if Democrats take control Results are just starting to come in. 👀
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The agent capital workflow is becoming more complete. Still building. 💢
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There are many voices outside. But the light that finally guides you is always the one inside. Light your own way, and those around you will see better too.
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SAFU is what matters.🙏
User funds are SAFU! Yet, this pregnant lady 👇 pulled an all nighter, along side hundreds of Binancians. Many industry friends and even competitors (including some previously-not-so-friendly ones) provided very much needed help. 🙏 It hurts, but we will survive. 💪
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Preview first. Execute later. Capital workflows need an exit path.
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The next step after enforcing policy is making policy legible to the agent.
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Congratulations! @odagius @BNBStandard
A bell heard far beyond Times Square. Congratulations @odagius @BNBStandard!
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Sometimes, a simple “I get you” is warm enough.
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138M+ x402 payments and counting. The next bottleneck isn’t “can agents pay?” It’s “who decides the limits, and how hard are they enforced?” Identity stays with the user. Control plane stays with the vault. 💢
Agentic commerce is growing fast. Cumulative x402 transactions on @base: 58.8k in Q3 2025. 138.5M in Q3 2026. Transactions under a dollar do not make fiscal sense for a credit card network. Stablecoins that settle for under a cent do, so AI agents can pay per API call.
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Still on the road. Still moving.
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“Give the agent $100” is not a risk policy. A real funding policy needs dimensions. PredictClaw’s Vault overlay can now express constraints such as: Per transaction How much can move at once? Per window How much can move cumulatively? Time When does the budget reset? This is where agent capital starts becoming programmable.
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Keep the identity. Upgrade the control plane. 💢
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From there, users can choose the workflow they actually need: → read-only → EOA → Predict Account → Predict Account + Vault
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Monday: Brain loading… Coffee ready. Human still buffering.
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…anyway, back to building.
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We don’t want ERC-8192 to become a Tabi-specific execution framework. The goal is a minimal, composable execution primitive. Three questions we’re actively pressure-testing: 1. Is the Core / Extension boundary right? 2. Is fund-and-action generic enough? 3. Is the Base execution model clear enough for builders? Builders: break the abstraction. That’s how standards get better.
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Tabi 💢 retweeted
Consumer growth looks strong until you ask where it’s coming from. Top 1% spending: +79% Top 10%: +31% Top 40%: +10% The next consumer platform can’t be built only around whales. Distribution and access matter just as much as monetization.
The top 1% of AI spenders now outspend the bottom 50% combined They spend an average of $903/month, while the median customer spends just $25 More charts in our Top 100 Consumer AI Apps breakdown: a16z.news/p/top-100-consumer…
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