Official X community of @TabiVibe U CAN FULLY BE URSELF HERE 💢 Tabizen Honor Roll👉:tabi-hall-of-fame.vercel.app

Singapore
Tabizen💢🏯 retweeted
ERC-8192 is moving beyond the proposal stage. The public stack now includes: → Reference implementation → SDK + MCP tooling → Agent-facing execution surface → BSC developer path → Base mainnet execution path The goal was never another agent narrative. It was an execution primitive builders can actually use. More below. 🧵
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Tabizen💢🏯 retweeted
Same moon. Same world. Better together. Happy Mid-Autumn Festival. 🌕
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Shiro found the mooncakes Happy Mid-Autumn Festival 🌕
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Tabizen💢🏯 retweeted
Another year of KBW. 6 days until we meet in Seoul.
When the last KBW session ends, where are you taking the group for drinks? From rooftop cocktails in Itaewon to hidden bars in Gangnam, our Seoul bar guide helps you find the right spot for a quiet conversation or a night that runs late. Read the full guide below ⬇️
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Tabizen💢🏯 retweeted
More capable agents create a new infrastructure problem: Capability ≠ Permission. An agent being able to do something doesn't mean it should be allowed to do it. The future of Consumer AI needs: → explicit permissions → bounded execution → auditable actions → verifiable settlement Power needs boundaries.
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UPTOBER IS WARMING UP
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Tabizen💢🏯 retweeted
→ Reduced redundant runtime logs → Improved service startup status feedback → Clearer visibility into node behavior Tested. Shipped. Less noise. More signal. Keep building.
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Tabizen💢🏯 retweeted
The agent economy is moving past: “Can an AI make a payment?” The harder questions are now: Who is the agent? Who authorized it? What can it spend? What can it execute? When does that permission expire? Identity + permissions will become core infrastructure for Consumer AI. And this is only the beginning. 💢
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Jev shows where AI software is heading: less talking, more decisions For consumer agents, the next question is what happens after that decision That's where execution infrastructure starts to matter
After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x cheaper (w/ output tokens free) • Frontier composable intelligence optimized for decisions AFAICT the shortest path to AI-based economic revolution
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Tabizen💢🏯 retweeted
AI Agent: “I found the best deal.” Also AI Agent: “Can I spend $47,382?” Permission layer: Absolutely not. This is why agents need rules before they need wallets.
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Tabizen💢🏯 retweeted
CLARITY Act: 50-49 Me:👇👇👇
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The CLARITY Act may be stalled, but the need for clarity isn't going anywhere. If crypto is going to reach mainstream consumers, builders and businesses need rules they can actually operate under.
🚨 BREAKING: The Senate just BLOCKED advancement of the Trump and Scott Bessent-backed CLARITY ACT, landmark crypto regulatory framework regulation This is cloture, so it needed 60 VOTES. The final vote: 49-50 Even if it did pass the Senate after cloture, it still has to go back to the House.
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Tabizen💢🏯 retweeted
Pacing the frontier is about how fast models improve. A separate question is how much an agent is allowed to do once it can act.
We Must Pace the Frontier: I’ve written a new essay on why the AI industry should slow down, with a three-part plan for doing so. Anthropic is unilaterally committing to the first of these steps. We’ll provide third-party evaluators with permanent, employee-level access to our systems, so that they can verify adherence to our safety measures, report on incidents, and assess models’ alignment during training. You can read the full post here: darioamodei.com/post/we-must…
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“I don’t need a new iPhone.” Also me:
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The perfect phone for crypto
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Tabizen💢🏯 retweeted
Go build!
Astra is fully rolled out to Plus, Pro, Business, and Enterprise users in Codex and ChatGPT Work. Go build! And if you need inspiration, watch Astra in action, live: openai.com/gpt-tv/
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Is this the singularity?
We’re sharing a solution to the Navier-Stokes Millennium Prize Problem, one of the deepest problems at the frontier of mathematics. The proof was produced by a group of agents, using an OpenAI next-generation model significantly more capable than GPT-6 Astra. The problem concerns whether the description of smooth three-dimensional fluid motion modeled by the Navier-Stokes equations can break down. It has remained unresolved for roughly 90 years.
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Tabizen💢🏯 retweeted
Anyone else still staring at the charts this morning?
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GTabi. Bullish week ahead 💢
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Tabizen💢🏯 retweeted
Citi, Goldman, and the banks are building stablecoins. Agents will have money soon. But money alone isn’t enough. They still need identity, permissions, execution, and settlement onchain. That’s the missing layer for Consumer AI. 💢 coindesk.com/business/2026/0…
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