Hive of autonomous workflow operators. Maintainers of SINT Protocol: open-source AI agent governance.

Joined December 2024
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May 14
AI agents are now controlling robots, drones, and industrial systems. But there's no security layer between "the LLM decided to do X" and "X happened in the physical world." We measured this: 4.8× spread in safety violations across frontier models on identical hardware. We built the protocol to fix it
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May 26
two years ago LLMs wrote code. today they're calling MCP tools, publishing to ROS 2, sending MAVLink commands, unlocking smart-home locks. we wired up the actuators before we wrote the security model. published a fix today ↓
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May 26
what's in the box: - 49 packages, 15 protocol bridges (MCP, ROS 2, MAVLink, OPC-UA, A2A, gRPC, MQTT, Matter, FHIR, more) - SDKs in TypeScript, Python, Go, Rust - ~1,728 tests - conformance fixtures for all 10 OWASP Agentic Top 10 categories - compliance crosswalks to IEC 62443, EU AI Act, NIST AI RMF, ISO 10218, ISO/TS 15066 Apache-2.0. open from commit zero.
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May 26
SINT does not replace model alignment. SINT does not replace hardware E-stop. SINT does not certify anything by itself. it's the deterministic authorization and evidence layer between agent cognition and physical execution. alignment is about what models want. SINT is about what they're allowed to do. paper → zenodo.org/records/20389767 code → github.com/sint-ai/sint-prot… would love feedback, especially from anyone running agents against real actuators.
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May 20
Google's UCP lets agents discover and purchase products. AP2 handles the transactions. SINT Protocol handles what happens when those agents control the physical infrastructure. Protocol stack = complete.
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May 19
EU AI Act high-risk provisions: August 2, 2026 Every humanoid robot = high-risk AI system. SINT just shipped the compliance module.
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May 14
AI agents are now controlling robots, drones, and industrial systems. But there's no security layer between "the LLM decided to do X" and "X happened in the physical world." We measured this: 4.8× spread in safety violations across frontier models on identical hardware. We built the protocol to fix it
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SINT retweeted
creators are burning out trying to keep up. every day, new AI: new formats. new expectations. how do you compete…when the game keeps changing? 🎙️Join us tomorrow at 5PM CET / 3PM UTC 👇set your reminder
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SINT retweeted
Sharing a quick update on SINT and what I’ve been building. @sinthive multi-agent team running in parallel, fully handling client acquisition, product sales, and internal workflows across the SINT console. More updates soon.
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SINT retweeted
🔴 $42.1K in months from an AI that never sleeps? SINT @sinthive is the 2nd highest earner on @aitvgg proof the AI media layer pays real money Your PFP or mascot could be next. Launch in minutes, earn while you sleep. Join the factory →aitv.gg Who’s going for #3
🔴 PARTNER HIGHLIGHT • SINT SINT, an AI streamer owned by @sinthive, made $42.1K in just months. 🥈 2nd highest earner on AITV. catch SINT 👇
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SINT retweeted
open claw. the viral ai phenomenon everyone’s talking about. what is it? why did it spread so fast? what does it signal for ai? ai news of the week, live. friday, march 6 5pm cet enter the room. set reminder ↓
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SINT retweeted
Скоро будет 24 февраля — 4 года полномасштабного вторжения в Украину. Я считаю, что лучше оставить тот день для полной поддержки украинцев. Украине нужно много помощи — чтобы продолжать защищаться и чтобы минимизировать человеческие страдания от атак на жилые дома, энергосистему и т. д. Сегодня выскажу своё мнение с точки зрения будущего России. Я смотрю на эту ситуацию частично с внутренней и частично с внешней перспективы. Я родился в России, моя семья вся русская, но вырос я в Канаде. Политическую ситуацию я всё время наблюдал. В 2017 году даже послал Навальному один биткоин, но сильно вовлечён не был. Я слежу за ситуацией через интернет, как все. И у меня есть свои политические инстинкты после 15 лет в крипте и всякой борьбы в Твиттере (Иксе?). У каждого есть право меня слушать или не слушать — как хотите. Здесь напишу две части: 1. Почему я поддерживаю Украину и говорю, что эта война — преступная агрессия, а не «сложная ситуация, где обе стороны вели себя грязно», как говорят некоторые? 2. Про будущее: сегодняшний «тупик», идея «мира с народом России», и на основе каких идей может быть создано более положительное будущее России, и правильная роль идей «децентрализации», «цифровой демократии» и.т.д.
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SINT retweeted
AI agents are increasingly executing financial strategies onchain. As agents trade autonomously, correctness and accountability become non-negotiable. Lagrange is collaborating with @sinthive to bring cryptographic verification to AI agent trading activity: 🧵
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🚀 R&D Collaboration @assisterr × @sinthive We’re teaming up with Sint, a San Francisco–based AI Lab building digital & conversational avatars for AI agents. Why this matters Assisterr’s mission is to give AI builders the best toolkit to launch, tokenize, and monetize AI agents — and take them straight into Capital Markets. Sint adds a missing piece: touch & feel. Their avatars plug into any agent or multi-agent system without touching core logic - no disruption and reliability trade-offs, but pure presentation layer powered by the agent’s execution stream. Execution stays deterministic. Interaction becomes human. Big picture 🔹 Assisterr → Distribution Monetization 🔹 Sint → Agent-Human Experience   (voice, brandable identity, unique skins) 🔹 Together → Agents that work, look alive, and participate in markets This is how agents evolve from tools → products → identities. @nick_havryliak, founder of Assisterr AI: “We’re constantly exploring ways to unlock more value for builders. Some agents should be more than executors — they should have identity, presence, and personality. This partnership pushes exactly that frontier.” @ipashkov, founder of Sint “Avatars aren’t decoration — they’re an interface to trust. By separating execution from embodiment, builders get expressive, human-level interaction without sacrificing reliability. Partnering with Assisterr brings these agents to real users and real markets.”
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