$IOwnThemAll🦋

@codewithimanshu Claude

$2K → $12K in One Night. I'm Quitting My Job. Claude Found Arbitrage Wallets I Can't Beat, So I'm Copying Them Instead. You're still placing manual trades. I built a Claude AI agent that monitors 1,000+ wallets, finds the best arbitrage bots, and copy trades them automatically. I've made the exact step-by-step guide to build this wallet monitoring + copy trading system. Free for 24 hours. To get it: 1. Comment "Claude" 2. Like and Retweet 3. Follow me @codewithimanshu (so i can DM you) 70% win rate. 7 wallets copied right now. Bot never pauses. Never gambles. Just math. I couldn't beat the arbitrage bots. So I stopped trying. Asked Claude one prompt: "Analyze mispriced Polymarket markets, find arbitrage opportunities, and find wallets exploiting them." Claude built a monitoring terminal. Tracked 500+ wallets. Analyzed their behavior, sizing, timing, and strategies. Found 7 wallets worth copying. Connected them to a Telegram copy trading bot. This isn't a script. It's an AI agent that improves with every wallet it finds. - Fetches wallet behavior in real time - Tracks how each wallet trades - Detects arbitrage patterns and sizing - Copies winning wallets automatically $2K → $12K. One night. Zero manual trades. You're trying to beat bots with your bare hands. That's not brave. That's stupid. Find them. Study them. Copy them. Let their edge become your edge. You Must Follow me @codewithimanshu, so i can send you DM.

interesting how folks short $TAO as soon as a subnet rugs you guys do understand subnets are individual projects/companies right? shorting TAO over it is like shorting ETH because a random dapp got hacked smh

Moonshot trained a model on 15 trillion tokens of mixed vision and text data. The result scores 96.1 on AIME 2025 and 76.8 on SWE-Bench Verified. Model Spotlight: Kimi K2.5 by @kimi_moonshot 1T total parameters. 32B activated per token (MoE). 256K context. Vision baked into pretraining, so it reads documents, charts, code screenshots, and video without a separate adapter. The benchmarks put it right next to GPT-5.2 and Claude 4.5 Opus on most tasks. On a few vision benchmarks (MathVista, OCRBench, InfoVQA), it outperforms both. 78.5 MMMU-Pro (multimodal reasoning) 84.2 MathVision 76.8 SWE-Bench Verified 85.0 LiveCodeBench v6 The other thing worth knowing: Agent Swarm. You give it a complex task, K2.5 breaks it into parallel sub-tasks, assigns domain-specific agents to each one, and coordinates output. BrowseComp jumps from 60.6 to 78.4 with this approach. It can also look at a UI mockup and write the frontend code. Running on Chutes with TEE. Your prompts and outputs stay protected from GPU operators during inference. Try it here: chutes.ai/app/chute/2ff2… Have you tried any of the K2 family? Curious what use cases people are running.

What happens to your API uptime when a data center goes down? If you're on a centralized provider, you wait. If you're on Chutes, traffic routes to another miner and you don't notice. We run on Bittensor's Subnet 64. GPU operators around the world register their hardware, and our validator scores them on speed and output quality. When you send a request, we route it to the best available miner. If that miner drops, the next one picks it up. No single data center. No single point of failure. 100% uptime over the last 90 days. That decentralized compute is also why we can price models like this: MiniMax M2.5 (TEE): $0.12/$0.99 vs Sonnet 4.6: $3.00/$15.00 Kimi K2.5 (TEE): $0.38/$1.90 vs GPT-5: $1.25/$10.00 GLM 5 (TEE): $0.95/$3.15 vs GPT-5.4: $2.50/$15.00 100B+ tokens per day. Production scale, not a demo. What would you build if your inference cost dropped massively overnight?

Chinese engineers wrote a Claude script that turned 1.18 into 3.3M on Polymarket Nobody tells you about them and you still think this is a person who places bets manually. Here I’ll disappoint you this is an automated script written by Chinese engineers. They called it PHANTOM X It is fully automated through Claude. Result: $1,18 → $3,300,000 37,063 trades. Win rate 71%. The biggest win: $180,000 on a single bet. I’m copying their trades here because the PRIORITY mode allows reacting to each of their actions as fast as possible, and I haven’t found any bot that can keep up. How it bots work: The bot simultaneously tracks thousands of sports markets on Polymarket and Kalshi, finds discrepancies between the platforms, and enters positions faster than any human could physically manage. Three strategies in one: -Pairs Trading the bot sees that YES on the Rockets costs $0.62, while NO on the same match is $0.41. The total = $1.03, not $1.00. That’s a 3% risk-free profit. The bot enters automatically within milliseconds. -Sentiment AI scans Twitter/X and news in real time. If a team’s coach suddenly gets injured and 50 accounts report it, the bot recalculates the probability within 2 seconds before the market factors it in. -Calendar + Volatility 15–20 minutes before the game starts, volatility spikes. The bot takes positions early and closes them after the first major price movement. Why sports is perfect? Sports O/U markets on Polymarket have clear paired contracts OVER and UNDER for a single game. They should total $1.00, but due to different reaction speeds of traders, deviations constantly occur. This is the most predictable type of arbitrage on the entire platform. Sovereign2013 built $3.3M precisely on this. Why a human wouldn’t do this? A human physically cannot monitor 50+ markets simultaneously, react in milliseconds, stay awake 24/7, avoid emotional responses after a losing streak, and simultaneously calculate Z-scores over 60 bars of data. The bot does all of this in parallel without breaks. By the time a human opens a tab, the arbitrage window has already closed. This is why, right now, you should start learning Claude and testing different methods. Manual trading is dying. The era of automation has arrived, and whoever masters it now will thank themselves in the future. If you’re interested in writing your own bot and automating it on Polymarket: 1. Comment the word 'GUIDE' 2. Like and Retweet this post 3. Follow me @marryevan999 (so that I can message you) Within 24 hours, I will send you a full manual on how to write your own bot that can earn $3,200+ per month. One of my followers , after reading my article, wrote their own bot that is already showing results of $500 in 6 hours proof in the comments.

@marryevan999 Guide

@LarkDavis Send it

𝗜 𝗸𝗻𝗼𝘄 𝘀𝗼𝗺𝗲 𝗼𝗳 𝘆𝗼𝘂 𝗺𝗶𝘀𝘀𝗲𝗱 𝘁𝗵𝗲 𝗰𝘂𝘁 𝗹𝗮𝘀𝘁 𝘁𝗶𝗺𝗲. 𝗦𝗼 𝗜 𝗮𝗺 𝗿𝗲𝗼𝗽𝗲𝗻𝗶𝗻𝗴 𝘁𝗵𝗶𝘀. Most people will spend 2026 reacting. A small group already knows what's coming. The wealth gap forming right now isn't just about stocks or crypto. It's about who controls the stack. AI infrastructure. Energy dominance. Hard assets. The 10 things that actually matter. I put together a full breakdown, and for a limited time, I'm giving it away for free. Comment “Send it” and I’ll DM the link. First 50 only.

The only hope for crypto are the big three: 🟡 $BTC ⚫️ $ETH 🟢 $TAO

Bittensor SN3 :: @tplr_ai // @covenant_ai 72B "If intelligence is the most powerful thing, then decentralized training is humanity's last dance. it's the same thing we fought for, for ages." "It's what the internet tried to do. It's what Bitcoin tried to do - how do we reclaim agency? It was always, can we renegotiate the social contract with the Leviathan." "We can turn the Internet into a data center... But what for? The fight is to create optionality..." -@DistStateAndMe Novelty Search is a weekly community call hosted by Bittensor co-founder @const_reborn

@s_mohinii CLAUDE

🎉ALERT: Claude Certified Architect – Full Course 🎉 Want to level up your AI skills and become a Claude Certified Architect? Here’s your chance to get the full course step by step — for FREE I’m giving away access to a complete learning path covering: • Foundations of Anthropic’s Claude AI • Prompt engineering & advanced workflows • Real-world AI use cases • Step-by-step guidance to certification How to enter: Like this post Comment “CLAUDE” below Repost and Follow is MUST If you're serious about building in AI, this is a great place to start. #Giveaway #AI #ClaudeAI #Learning #Tech #CareerGrowth

@Suryanshti777 Agent

Everyone’s talking about AI agents... but 99% haven’t actually studied how they work. I’m giving away the complete "Agentic Design Patterns" guide (424 pages) — covering prompt chaining, routing, multi-agents, MCP, RAG, memory, guardrails, and more. This is basically a full roadmap to building real AI agents. If you’re serious about AI, you don’t want to miss this. How to get access: • Follow me • Like + RT this post • Comment "agent" I’ll DM you the access. First come, first served. 🚀

INSIGHT: $TAO is trending #1 today as it briefly reclaims $260 for the first time since January.

We just completed the largest decentralised LLM pre-training run in history: Covenant-72B. Permissionless, on Bittensor subnet 3. 72B parameters. ~1.1T tokens. Commodity internet. No centralized cluster. No whitelist. Anyone with GPUs could join or leave freely. 1/n

Another step forward for $TAO and Grayscale. 90 days ago, Grayscale Bittensor Trust became an @SECGov Reporting Company, which means today its private placement holding period has been reduced from 1 year to 6 months. Grayscale Bittensor Trust is open to eligible accredited investors seeking exposure to $TAO here: grayscale.com/funds/grayscal…

🚨 NEW: State of Bittensor $TAO Vol. 2 This edition dives into token dynamics, ecosystem developments, and explores “The Tipping Point,” where subnet outputs hit real-world benchmarks and begin approaching closed-source alternatives. Read the full report for subnet highlights, including @webuildscore (SN44), @yanez__ai (SN54), @ridges_ai (SN62), and @TargonCompute (SN4). hubs.li/Q045HS7w0

Everything you need to know about Bittensor $TAO latest and greatest, in one place

While labs compete for government contracts, we're building something they can't bid on: AI that no single entity controls. No Department of War deals. No supply chain risks. No centralized redlines. Just decentralized intelligence, running on Bittensor. τ