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Introducing: SEDA Sophon Sophon is specialized oracle infrastructure designed for Hyperliquid HIP-3 markets. Sophon can reduce latency on SEDA Core by over 300%, marking a major step towards sub-second updates.

SEDA

43,744 subscribers

27,884 次观看 • 11 个月前 •via X (Twitter)

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BUIDL breaks new ground on and Deribit 💥 The BlackRock USD Institutional Digital Liquidity Fund, BUIDL, issued via Securitize, is now accepted as collateral on Crypto.com and Deribit, two of the world’s top crypto exchanges. This marks a major step forward for tokenized securities becoming core infrastructure in global crypto markets.

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NSTRIKE

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this creator just built a zero-delay auto-aim system on an $8 microcontroller he deployed a custom local AI algorithm on a cheap ESP-32 to track human movement with absolute 0-pixel accuracy. the system completely eliminates standard computation delay. it processes the bounding box and moves the sniper reticle instantly, locking onto the target in real time. the next step is hooking it up to a physical robotic arm. it proves you don't need a massive GPU rig to run complex computer vision. 1. runs locally on a microcontroller 2. local AI inference for zero latency 3. 100% targeting precision when an eight-dollar chip can track movement with zero latency, AI becomes dangerous local infrastructure. this article breaks down exactly how the ESP-32 is powering this physical hardware shift.

this creator just built a zero-delay auto-aim system on an $8 microcontroller he deployed a custom local AI algorithm on a cheap ESP-32 to track human movement with absolute 0-pixel accuracy. the system completely eliminates standard computation delay. it processes the bounding box and moves the sniper reticle instantly, locking onto the target in real time. the next step is hooking it up to a physical robotic arm. it proves you don't need a massive GPU rig to run complex computer vision. 1. runs locally on a microcontroller 2. local AI inference for zero latency 3. 100% targeting precision when an eight-dollar chip can track movement with zero latency, AI becomes dangerous local infrastructure. this article breaks down exactly how the ESP-32 is powering this physical hardware shift.

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1,164,688 次观看 • 4 天前

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Recogard

41,760 次观看 • 1 个月前

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MESSIER | M87

11,044 次观看 • 9 个月前

We’re thrilled to launch on Genesis at Virtuals Protocol and want to share what’s next on the technical side. > AI Sniping Engine: In final testing for ultra-fast on-chain reactions to large buys/sells with sub-second execution. > Strategy Scripting: Enhancing natural language parsing so users can define complex market-making strategies more easily. > Wallet Management: Upgrades for dynamic splitting, stealth rotation, and batch execution to reduce detection risk. > Dashboard: Coming soon with advanced analytics, strategy templates, and real-time monitoring. > AI chat: Now the AI can learn your personal responding style in a single conversation. Currently, Dessistant is not yet 100% autonomous. We’re improving it step by step. Starting tomorrow, we’ll be collaborating with other projects to test market-making using small LP allocations on Virtuals-based tokens. This will let us refine the agent in real-world conditions before a broader rollout. Our goal is to continuously improve Dessistant into a fully autonomous AI market-making agent that is adaptive, transparent

We’re thrilled to launch on Genesis at Virtuals Protocol and want to share what’s next on the technical side. > AI Sniping Engine: In final testing for ultra-fast on-chain reactions to large buys/sells with sub-second execution. > Strategy Scripting: Enhancing natural language parsing so users can define complex market-making strategies more easily. > Wallet Management: Upgrades for dynamic splitting, stealth rotation, and batch execution to reduce detection risk. > Dashboard: Coming soon with advanced analytics, strategy templates, and real-time monitoring. > AI chat: Now the AI can learn your personal responding style in a single conversation. Currently, Dessistant is not yet 100% autonomous. We’re improving it step by step. Starting tomorrow, we’ll be collaborating with other projects to test market-making using small LP allocations on Virtuals-based tokens. This will let us refine the agent in real-world conditions before a broader rollout. Our goal is to continuously improve Dessistant into a fully autonomous AI market-making agent that is adaptive, transparent

Dessistant

42,252 次观看 • 1 年前