I spent late night scrolling X again. Not for dopamine - but out of curiosity. Grok kept throwing "AI agent" use cases at me. Smart. Generic. Safe. So I pushed it harder. "Show me what's actually going viral in trading right now." That's when the tone changed. Not academic anymore. Not theoretical. Real screenshots. Real numbers. Real bravado. Real risk. Here's what kept surfacing over the last four days. 1) The Weather Bot that shouldn't work - but does People are letting agents watch NOAA weather data and Polymarket odds every two minutes. Not once. Not twice. All day. The pattern is simple, almost boring: - Buy when the market looks "dumber" than the forecast. - Sell when the crowd corrects itself. And yet - thread after thread shows small wins stacking up.Not lottery tickets. Not moonshots. Just quiet, mechanical consistency. It felt less like trading… more like patience automated. 2) The 15-Minute Crypto Bot - a machine that never blinks Then came the scalping stories. Bots trading BTC and ETH prediction markets every minute. Thousands of tiny decisions a day. Screenshots of six-figure numbers. Screenshots of life-changing claims. Screenshots of pure automation. No genius trader. No secret insider call. Just speed, repetition, and compounding. It made me ask: "Is this intelligence… or just relentless execution?" 3) The 'Bot Wars' everyone whispers about Some agents aren't trying to "predict" - they're trying to outreact. Scanning hundreds of markets. Placing thousands of micro trades. Clipping tiny edges humans would never notice. People joke about "bot wars," but beneath the memes is a serious truth: If you're slow, you're food. 4) The $10 hardware that changed the vibe Then a tiny RISC-V board appeared on my feed. OpenClaw running on something that costs less than lunch. No cloud. No server. Just a pocket-sized agent. That's when it stopped feeling like software… …and started feeling like a movement. 5) 'Clawdia' - the agent that felt too human

This video wound up being longer than I thought it would. 🤷‍♂️ 1. Most of you will be able to use the very first installation method and be done in 90 seconds. 2. If you don't see the extension available in your VS Code extension marketplace, use method two. 3. If you like doing things the hard way, stay with me to the end and use method three.

Right now, AI enthusiasts can’t stop talking about Clawdbot - a "digital agent" that supposedly manages your life 24/7, controlled with natural language. Sounds amazing. But here’s the reality: THE CLAWDBOT HYPE 🤖 Most "brand-new" launches are basically public beta tests. And "beta" is just a nicer word for: ✅ exciting ❌ unstable ❌ unclear limits ❌ unpredictable outcomes If something breaks, leaks, or messes up your setup… you deal with the consequences. WHEN YOU SHOULD TEST ON DAY 1 ✅ If you’re: - a creator - a news channel - a true power user (time + technical depth + patience) Then yes - testing early can make sense. Everyone else? You’re spending time for very little upside. WHY WAITING WINS 🧠 Give it a few weeks and you'll get: - clearer info on what it actually does - real use cases (not just demos) - fewer bugs and broken flows - honest reviews For most people, I see zero advantage in installing Clawdbot today (or this week).

I'll go first: Claude Code. Why (my POV): - It feels like the most reliable coding partner when you use it correctly: clear task framing, tight scopes, and constraints. - I’m treating my dev work like a product: versioned releases on Git, plus a personal learning.md for decisions + "memory context". - I started this product as vibe coding, but now it’s turning into a production product - and Claude Code helps me keep structure while still shipping fast. Tradeoff / reality check: Even with good hygiene, I’m seeing 50K context usage out of a 200K window just for it to scan and understand files sometimes. Worth it for speed, but the context budget is real. My take: Claude Code wins when you don’t treat it like magic—you treat it like an engineer: - give it a mini-PRD, - curate context (learning.md, changelog, release notes), - force small, testable steps. Now your turn 👇Pick ONE tool and defend it. If nothing comes to your mind just pick from these: what's your bottleneck - context budget, accuracy, refactors, tests, or review quality?

People are reporting Anthropic warnings/bans when using Claude OAuth (Pro/Max) through third-party tools like Clawdbot (instead of API access). I'm dropping the few links below - anyone here hit by this, and what workaround are you using (API key / different model / different tool)? https://x.com/elijahsystems/status/2016201425273958453