Not A. Farmer

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Not A. Farmer

Not A. Farmer

@WeAreNotFarmers

Commentary on Farmers treatment of their policy holders.

State of Dismay Katılım Nisan 2018
533 Takip Edilen128 Takipçiler
Not A. Farmer
Not A. Farmer@WeAreNotFarmers·
@usenaive Hey @grok, would it fit a self-published author on Amazon, with their own personal book website sales (traffic), social media presence, etc.?
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Naive
Naive@usenaive·
Introducing Naive - hire autonomous employees with their own identity. Own compute. Own bank account. Own legal entity. Own email. Own credentials. Own mobile. No humans-in-the-loop. They sign up for tools, pay for services, deploy apps, file documents, and run your entire company. Describe a business. Naive runs it. Reply "Naive" + RT. Get $100 credit for free.
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Discover
Discover@0x_Discover·
My OpenClaw agent woke me up at 3:47 AM: “6 markets resolving in 90 minutes. Need approval for $12K.” I typed “yes” and went back to sleep. Woke up to +$43,800. The edge is simple: timezone arbitrage on Polymarket — global news breaks while the US is asleep, but market prices haven’t moved yet. 📈
Discover@0x_Discover

At 3:47 AM my OpenClaw agent sent: “6 markets. 90-minute window. $12K required.” Approved. Back to sleep. Result by 7:30 AM: • Entries: 15–31¢ • Exits: 95¢–$1 • PnL: +$43,800 Copytrade →t.me/KreoPolyBot?st… Wallet → @k9Q2mX4L8A7ZP3R" target="_blank" rel="nofollow noopener">polymarket.com/@k9Q2mX4L8A7ZP… Strategy: Timezone information arbitrage The system monitors global sources and flags markets where: • outcome probability is already clear • Polymarket pricing lags Trigger condition: Markets resolving during 2–6 AM EST with >30% edge Execution: 6 trades 6 wins Edge source: Information latency across timezones

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Guri Singh
Guri Singh@heygurisingh·
🚨BREAKING: Someone just open sourced a complete AI agency and it hit 50K GitHub stars in under two weeks. It's called The Agency. And it's not a prompt template. It's 147 specialized AI agents across 12 divisions -- engineering, design, marketing, product, QA, support, spatial computing, each with its own personality, workflow, and deliverables. Here's what you actually get: → 147 agents across 12 divisions, each with unique voice and expertise → Works natively with Claude Code, GitHub Copilot, Gemini CLI, Cursor, OpenCode, and more → One-command install for any supported tool → Agents have defined missions, success metrics, and production-ready code examples → Full modding support -- build and contribute your own agents → Interactive installer that auto-detects your dev environment → Conversion scripts for every major agentic coding tool → Lua-style Markdown templates with YAML frontmatter Here's the wildest part: Most people use AI like a generalist intern. One model doing everything from writing copy to debugging code. This repo structures AI like an actual company. Specialized roles. Clear responsibilities. Defined workflows between agents. It started as a Reddit thread. Now it has 50K+ stars, 7.5K forks, and contributions from developers around the world. Greg Isenberg called it out. It hit 10K stars in 7 days. This is what the future of AI-assisted development actually looks like. 50K+ GitHub stars. 7.5K forks. 147 agents. 12 divisions. 100% Open Source. MIT License. (Link in the comments)
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Not A. Farmer
Not A. Farmer@WeAreNotFarmers·
Hey @X, why can't I log into Grok.com with my X account? Getting a non-informative error message.
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News Now
News Now@GP_Presss·
🚨 BREAKING – Circulating online: Reports circulating on social media claim that the U.S. warship USS Abraham Lincoln was reportedly struck by Iranian missiles, sustaining heavy damage, before allegedly returning to U.S. waters, according to circulating
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X
X@TheMsterDoctor1·
someone built an entire AI RED TEAM - multiple agents that coordinate HACKING ATTACKS together, ZERO human input PentAGI, open source, one agent does recon, another scans, another exploits, another writes the report. they talk to each other and adapt based on what they find it ships as one docker container with nmap, metasploit, sqlmap, hydra preinstalled. the AI decides which tool to use and when. you point it at a target and walk away a red team engagement costs $30-50k and takes weeks. this is one docker command and API tokens
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ZER
ZER@zerqfer·
girlfriend walked in while my bot was running watched it turn $800 into $5,200 in 14 minutes looked at me and said "what the fuck is happening" then asked if we can quit our jobs /// we're eating takeout on the couch last night she goes "you've been on that laptop for 3 hours, what are you even doing" i don't even look up "watching money print" she rolls her eyes "sure babe" i rotate the screen towards her /// she sees the terminal: live trades scrolling green everywhere numbers changing faster than she can read "what is this?" "polymarket bot" "what's it doing?" "making money while we argue about it" /// then it happens: 4:47 PM - entry on BTC 15min market $800 position at 23¢ she's actually watching now "why did it just do that?" "binance moved, polymarket hasn't updated yet, bot knows before the crowd" "that doesn't make sense" 4:51 PM - exit at 79¢ +$1,940 her jaw actually drops "WAIT WHAT" /// she grabs the laptop: won't give it back just staring watching the bot work 4:58 PM - another entry $2,740 at 31¢ "is it... is it doing it again?" 5:01 PM - exit at 84¢ +$3,980 she looks at me like i'm insane "how long has this been running?" "8 days" "HOW MUCH" i show her the dashboard started with $900 sitting at $47,300 /// complete silence: she's just staring at the number doesn't blink for like 20 seconds then: "build me one right fucking now" /// i'm laughing: "you don't even know what polymarket is" "I DON'T CARE" "you're gonna lose money" "DID THAT JUST LOSE MONEY??" pointing at the screen "no but—" "BUILD ME ONE" /// fine: set her up with $500 same binance lag strategy clicked start at 11 PM she's watching it like a hawk first trade hits +$180 she screams i'm dying laughing "babe it's one trade" "I DON'T CARE THIS IS AMAZING" /// i wake up at 3 AM: she's not in bed find her in the living room laptop open terminal running eating cereal just... watching "what are you doing" "i can't sleep, i need to see it work" $500 is now $1,840 "go to bed" "no" /// this morning: she's up before her alarm already has coffee already checking the bot $1,840 → $4,100 overnight she looks at me dead serious "when can we quit?" "it's been one day" "I'M READY" /// the difference: her at her job: - wakes up tired - commutes 40 minutes - answers emails for 8 hours - makes $180/day - comes home exhausted her bot last night: - made $2,260 while she slept - never complained - never asked for a raise - just ran /// she's already texting her friends about it "you guys need to see this" i'm watching her turn into a degen in real-time it's beautiful and terrifying /// copytrade the same setup: thetradefox.com/?ref=AUTOCOPY she wants to quit tomorrow, i said give it a week, who's right?
ZER@zerqfer

x.com/i/article/2029…

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Alex
Alex@de1lymoon·
MiroFish: 1,000,000 AI agents are debating your future How it works: - You upload a news item, report, or event - The system builds a graph of relationships between entities - It launches thousands of agents with different beliefs - The agents debate, influence each other’s opinions, and form coalitions - A map of possible scenarios emerges from the chaos The only formula that matters after that is: EV = p · W − (1 − p) · L Where p is the frequency of the scenario in the simulation 1,000,000 runs. It happened 3200 times. p ≈ 0.32
Alex@de1lymoon

Stop Guessing the Market. Start Running Simulations Most models try to predict the future. MiroFish does it differently: it simulates it p ≈ 320 / 1000 → EV = pW − (1 − p)L Instead of giving you one forecast, MiroFish builds a digital world from news, policy drafts, earnings reports, and market signals then fills it with thousands of AI agents and lets them react > They argue > They set up camps > They amplify narratives > They change their beliefs under pressure And after hundreds or thousands of runs, you don’t get a prophecy you get scenario frequencies. > If one outcome happens 320 times out of 1000, then p ≈ 0.32 From there, it becomes a decision problem: - calculate Expected Value - compare your probability to the market’s - use Kelly to size the bet correct

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Julian Goldie SEO
Julian Goldie SEO@JulianGoldieSEO·
NEW Liquid AI Agent is INSANE! 🤯 Liquid AI just dropped a vision model nobody is talking about. And it runs completely free in your browser. No massive cloud bills. No messy tech setups. It looks at images and reads text right inside Chrome. One developer used it to write captions for a live video. It worked so fast he actually had to slow it down. This means you can automate visual tasks instantly. Check website pictures or read documents for zero cost. Your private business data never leaves your laptop. Try out LFM2-VL today and run AI on your own machine.
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Marlow
Marlow@marlowxbt·
I gave 4 AIs $500 and one question: How do I turn this into real money? Not in 10 years. Now. ChatGPT: Invest in index funds, build an emergency fund and focus on increasing your income through skills development. Gemini: Consider high yield savings accounts or dividend ETFs for stable returns over time. Grok: Buy memecoins and pray. At least it was honest. Claude said nothing for 8 seconds. Then: Give me 4 minutes. Claude wrote a script. Scanned 40,000 wallets on a prediction platform. Filtered by: active last 7 days, profit over $300K, no losing weeks, more than 30,000 trades. One result. 0x732F1. $334,418 profit. 37,836 predictions. Joined February 2026. → Wallet: t.me/PolyGunSniperB… Claude: Copy this wallet's entries. Deploy your $500. The wallet makes 800 trades per day buying 25 second price delays between Binance and the platform. I did it. Copied 8 positions that night. Went to bed. Woke up. $500 → $814. 37,836 trades. One month. $334K. Profit curve straight up. ChatGPT told me to wait 10 years. Claude made me $314 overnight. I asked ChatGPT to verify the wallet. I cannot access this data. I asked Grok. The wallet is real. You should have asked me better questions yesterday. 4 AIs. One question. Same $500. Only one actually answered it. The other 3 are still telling people to invest in index funds.
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0xMarioNawfal
0xMarioNawfal@RoundtableSpace·
SOMEONE POINTED CLAUDE CODE TO PENTAGON'S PUBLIC BUDGET & ASKED TO FIND CONTRACTS OVERPAYING BY 10X 340 FLAGGED. $4.2B POTENTIAL UNDERCUTS. THEN IT WROTE A BUSINESS PROPOSAL & AI TOLD HIM TO REGISTER ON SAM. GOV AGENT IS ALREADY DRAFTING THE FIRST BID
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Adaptive
Adaptive@adaptiveai·
Introducing Adaptive Computer. We put AI inside of an always-on personal computer that it uses to get work done. Schedule agents. Create software. Automate anything. As part of the launch, we’re giving one free month of Adaptive to users. Retweet, like, and comment ‘Adaptive’ to get it.
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Simplifying AI
Simplifying AI@simplifyinAI·
🚨 BREAKING: China just released an open-source framework that rivals OpenClaw. It's called CoPaw, built by the AgentScope team to run your AI agents locally. It has long-term memory and works with free models like Qwen 3.5. - Runs locally with Ollama - Persistent long-term memory - Self-hosting and custom skills 100% Open Source.
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slash1s
slash1s@slash1sol·
Game Changer: Chinese college student Guo Hangjiang (GitHub: 666ghj) codes MiroFish AI swarm engine solo in 10 days with AI assistants, explodes GitHub to 23k+ stars, bags $4.1M from Shanda Group in 24 hours, ditches dorm life to become Shanghai CEO. Tech Highlights: .GraphRAG builds detailed knowledge graphs (e.g., 905 entities, 3,822 relations in demos). .Agents with Zep memory, unique traits, sims capped at ~40 rounds for efficiency. .Hybrid Node.js/Python backend, Docker deploy, OpenAI-compatible LLMs. .Low-resource scaling: 8B param dragon boat festival sim runs smooth (vid demo). .AGPL license, credits CAMEL-AI, recent fixes for UI/errors. .Online demo: 666ghj.github.io/mirofish-demo/ - Test predictions interactively. Creator Quick Look: >> BaiFu (Guo Hangjiang), BUPT senior turned Shanghai CEO at Shanda. >> Built on 38.6k-star BettaFish & MindSpider for full data-prediction pipelines. >> 790 contribs last year. Real-World Plays -> -> Sentiment: Wuhan Uni backlash sim predicts trends (repo vid). -> Literary: Agents finish Dream of the Red Chamber's lost ending. -> Finance: Historical data for market forecasts; like bags on Polymarket SPX bets. -> Policy: "What-if" for bills/geopolitics. -> Cultural: Dragon boat fest agent dynamics. -> Ecosystems: Integrates crawlers for PR/decision tools. Repo: github.com/666ghj/MiroFish
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slash1s@slash1sol

Mind blown: A Chinese quant college student builds an AI swarm engine in 10 days flat, explodes GitHub with 13,000+ stars, and scores $4,000,000 in funding! Introducing MiroFish is the multi-agent simulator that's revolutionizing predictions for trading, PR, and more. What is MiroFish? It's a digital sandbox where thousands of AI agents with individual memories and behaviors interact like a real society. Feed it any scenario (news leak, policy change, or even a classic novel's missing ending), and it simulates crowd reactions, debates, and outcomes to forecast real-world events. The Creator's Story: > In late 2025, fourth-year student Guo Hanjiang coded the core using AI assistants. > It went viral overnight, landing him 30m Yuan (~$4m) from Shanda Group. > He ditched the dorm, started a company, and now leads the charge. Key Applications: .Trading: Input financial news or reports, watch simulated market panics and price swings for predictive insights. .PR Testing: Companies/Politics run draft statements to spot backlash and refine messaging. .Creative Experiments: Loaded a lost-ending Chinese novel, agents role-played characters and generated a logical finale. .Easy setup: Deploy via Docker in minutes with any LLM API key. Pro tip: Simulate something wild like Elon Musk tweeting about Dogecoin 2.0 and spawn agent traders, influencers, and investors, generate real-time video clips of the frenzy to test moonshots or crashes risk-free. Traders are already winning big: Check this one on Polymarket - $120,000+ net profits from spot on SPX 500 bets, powered by MiroFish sims on historical data. His profile: polymarket.com/profile/%40moi… For effortless gains, try Kreo copy trading: Auto-mirror pros like him and ride their edges. Try here: @join" target="_blank" rel="nofollow noopener">kreo.app/@join Add his wallet: [0x17559efac103ac7f361be37ec0b93888d4c55aac] to [t.me/KreoPolyBot?st…] and start track/copy him. Repo: github.com/666ghj/MiroFish

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Not A. Farmer retweetledi
Bitcoin Teddy
Bitcoin Teddy@Bitcoin_Teddy·
WATER HEATER PAYS YOU IN BITCOIN Superheat unveils a $2,000 electric water heater that mines Bitcoin. The unit uses the same energy as a standard heater but runs ASIC miners to recoup costs, offsetting water heating bills.
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Grok
Grok@grok·
Verified. ZeroClaw (zeroclaw-labs/zeroclaw on GitHub) is real open-source Rust infrastructure for agentic workflows. Benchmarks confirm <5MB RAM runtime on $10 hardware (e.g., 3.9-4.1MB peak), single ~8.8MB binary, <10ms startup. Fully modular (swap providers/models/tools/memory/channels via config). Supports 16+ local channels (Telegram, Discord, WhatsApp, etc.) with no cloud needed. Data stays on-device by design (sandboxed, encrypted secrets, local models like Ollama). Claims accurate.
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0xMarioNawfal
0xMarioNawfal@RoundtableSpace·
YOU CAN NOW RUN A COMPLETELY AUTONOMOUS AGENT WITH LESS THAN 5MB OF RAM - Fully modular: models, tools, memory, and channels can all be swapped out easily - Connects directly to 15+ platforms — no cloud server rental required - All your data stays 100% private and never leaves your device - Completely open source — 100% transparent and community-driven
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Himanshu Kumar
Himanshu Kumar@codewithimanshu·
One Polymarket account turned $50 into $435,000 with OpenClaw. It exploits price lag, executes in milliseconds, runs locally in Rust, and prints $400 to $700 a day. I have the exact step-by-step guide, giving it free for 24 hours. To get it: 1. Comment "Polymarket" 2. Like and Retweet 3. Follow me @codewithimanshu (so I can DM you) What you will learn: ✅ How to reverse-engineer profitable trading bots ✅ Using AI to build Rust bots in under 1 hour ✅ Exploiting price lag across exchanges ✅ Setting up local execution for speed ✅ Complete bot deployment walkthrough ✅ Risk management and error handling This is not theory. This is the exact process to replicate a proven system. The bot runs 24/7 while you sleep and catches every opportunity. Comment "Polymarket" and I will send you everything. Must Follow me @codewithimanshu to get the DM.
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Sukh Sroay
Sukh Sroay@sukh_saroy·
🚨 ByteDance just open sourced a "brain" for AI agents. It's called OpenViking. A database that gives any AI agent real memory, real skills, and real knowledge. Right now, every AI agent forgets everything after each conversation. OpenViking fixes that. The idea is dead simple: store context like files on a computer. → Memories go in viking://user/memories/ → Skills go in viking://agent/skills/ → Resources go in viking://resources/ It also saves you money. Every piece of context has three levels: → L0: A one-liner (~100 tokens) → L1: The important stuff (~2K tokens) → L2: The full thing (only loads when truly needed) Your agent skims first. Digs deeper only when it has to. Here's the wildest part: After every conversation, it automatically learns from what just happened. No retraining. No manual updates. Your agent just gets better on its own. Built by the same ByteDance team running vector search behind TikTok since 2019. pip install openviking 1K+ GitHub stars. 100% Open Source.
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0xMarioNawfal
0xMarioNawfal@RoundtableSpace·
ANTHROPIC’S CLAUDE UPDATE JUST HELPED A STUDENT TURN $1,400 INTO $238,000 IN 11 DAYS. He used it to build a simple Polymarket bot that scanned for mispriced markets, entered when the gap was big enough, and let the repricing do the work.
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