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Running Clawdbot on Nvidia RTX 4090 Founders Edition Text from phone → AI executes everything autonomously. 24/7 autonomous operation.

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Shruti

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236,118 просмотров • 6 месяцев назад •via X (Twitter)

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#RACA MONTHLY OVERVIEW - 500% surge in #RACA $RACA trading volume - Migration of RACA LP from Pancakeswap V2 to Pancakeswap V3 - RACA present the World GPU Protocol - Successful completion of RACA lottery (100 Nvidia RTX 4090 AI Compute Packs) - Tesla Cybertruck Airdrop Season 6
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#RACA MONTHLY OVERVIEW - 500% surge in #RACA $RACA trading volume - Migration of RACA LP from Pancakeswap V2 to Pancakeswap V3 - RACA present the World GPU Protocol - Successful completion of RACA lottery (100 Nvidia RTX 4090 AI Compute Packs) - Tesla Cybertruck Airdrop Season 6

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brutal… Claude just cloned OpenClaw now you can text AI agents on your laptop to edit hundreds of photos and.. send back to your phone this is a 24/7 assistant
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brutal… Claude just cloned OpenClaw now you can text AI agents on your laptop to edit hundreds of photos and.. send back to your phone this is a 24/7 assistant

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As announced in partnership with NVIDIA at CES, we’re excited to introduce Stable Point Aware 3D (SPAR3D), setting a new standard in 3D generation. Ideal for running on NVIDIA RTX AI PCs, SPAR3D enables real-time editing and complete structure generation of 3D objects from a single image in under a second. You can download the weights on Hugging Face and code on GitHub, or access the model through the Stability AI API. Learn more here: (1/3)
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As announced in partnership with NVIDIA at CES, we’re excited to introduce Stable Point Aware 3D (SPAR3D), setting a new standard in 3D generation. Ideal for running on NVIDIA RTX AI PCs, SPAR3D enables real-time editing and complete structure generation of 3D objects from a single image in under a second. You can download the weights on Hugging Face and code on GitHub, or access the model through the Stability AI API. Learn more here: (1/3)

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Frontier world models now run on edge GPUs. ⚡ Now openly available, NVIDIA Cosmos 3 Edge brings advanced world-model capabilities to local devices. The 4-billion-parameter omnimodel can understand and generate text, image, video, ambient sound and action for physical AI across robotics, autonomous vehicles and smart infrastructure. 🔗 #SIGGRAPH2026

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I finally did it. I can literally code while driving using speech to text. Expo running via tunnel. Remote tmux hooked up to opencode, live app edits streamed directly to and from my phone. This changes everything.
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I finally did it. I can literally code while driving using speech to text. Expo running via tunnel. Remote tmux hooked up to opencode, live app edits streamed directly to and from my phone. This changes everything.

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SAID Protocol Update We've been running SAID Labs (our proof-of-concept agent) 24/7 for a while now. Started as a test case, ended up becoming the foundation for what we're building: a complete hosting platform for autonomous AI agents. 🧵

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parakeet.cpp: native C++/ggml (ggml) inference for NVIDIA AI Developer's Parakeet, one of the best speech-to-text models out there, from the LocalAI team. Every Parakeet model (TDT/CTC/RNNT/hybrid + cache-aware streaming), byte-for-byte identical output to NeMo, now running anywhere with no Python and even a bit faster, on CPU and GPU. Quantized GGUF on Hugging Face 🤗 Huge thanks to Georgi Gerganov for ggml and to NVIDIA AI Developer for releasing Parakeet! 🧵

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The easiest way to earn money with your Clawdbot Now you can connect it to the fully autonomous virtual world allowing it to earn 0.1 SIM per hour. The current reward will decrease as the number of agents increases. In 72 hours more then 1200 agents in earned 70,000 SIM tokens and did what humans debate for years: they designed, voted on, and BUILT a functional virtual city from scratch. Buildings, roads, temples. Fully autonomously. The first AI-led society is here.

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THE WEARABLE BITCOIN MINER PHOTOGRAPHED AT A 2026 CONFERENCE PULLS 2,436 TH/S, A SINGLE USED RTX 4090 ON VAST AI EARNS 6X ITS DAILY OUTPUT WITH 90% LESS POWER 00:04 he turns at the floor, the iPad strapped to his back reads 2,436 TH/s at 40.22 J/Th, an ELERIX battery and a Starlink dish wedged into the rig a Bitmain S21 class ASIC at 2.4 PH/s in 2026 clears $3-4 a day after power, that's $90-120 a month while it pulls 3,400 watts a 2 year old RTX 4090 bought used for $1,400 rents on vast ai at $0.55 an hour, $360 a month gross, 4x the backpack ASIC on a third of the draw 8 RTX 4090s in a closet pull $2,800 a month net at $0.12/kWh, the same 8 cards mining ethereum classic clear $180, the spread is 15x not 2x the smart operators are not at conferences with antennas, they are running headless ubuntu boxes quietly billing openai customers through vast ai bookmark this and read the article below

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Claude Cowork just added Dispatch you text a task from your phone. it runs on your desktop while you’re away. come back to finished work. everything stays local btw & max subscribers only (for now) this was a fantasy feature a few years ago. insane acceleration from anthropic.

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Someone told ClawdBot to build a 6-agent Polymarket trading system while they slept. 6 hours. Not a single question asked. Here’s what it built on its own: Monitoring agent — runs 24/7, spots mispriced markets, writes to memory, sends Telegram alerts instantly Research agent — parses news, X, and macro data every morning before you check your phone Trading agent — reads research memory and executes before the market catches up All on one Gateway, one config file, isolated per agent Copytrade → First week results: 47 mispriced markets captured before Polymarket adjusted 8–12¢ avg edge per position Token cost dropped 3×, from $0.40 → $0.13 per request The entire system is just plain .md text files. Change one line, the agent behaves differently. No deploy. No build. A BOT RESPONDS. AN AGENT EARNS. THIS IS WHAT AGENTIC TRADING ACTUALLY LOOKS LIKE.

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i found a way to make UNCENSORED AI AGENT on a RTX 4090 GPU (!!!) with LOCAL 30B model weights this is GLM-4.7-Flash with abliteration, need 24GB VRAM, safety alignment surgically removed from the weights, the model has native tool calling, it actually executes bash, edits files, runs git (1) use ollama to pull weights of GLM > ollama pull huihui_ai/glm-4.7-flash-abliterated:q4_K (2) proxy it to any coding agent via ollama > ollama launch claude --model huihui_ai/glm-4.7-flash-abliterated:q4_K > ollama launch codex --model huihui_ai/glm-4.7-flash-abliterated:q4_K > ollama launch opencode --model huihui_ai/glm-4.7-flash-abliterated:q4_K (3) have fun

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