Joined October 2025
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I talk about Tech, AI, and Crypto — but in a way that won’t make your brain melt. Expect memes, insights, and occasional pain charts. Follow at your own risk 🤖🔥
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Talks Fvucc retweeted
Someone just casually vibe-coded a World of Warcraft-style multiplayer game that works online with friends. Fully open source. And apparently, Claude Fable found a visually matching set of open-source assets on its own. Ngl, that’s pretty insane.
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Someone just gave us the manual for the next era of AI Claude Fable 5 is not designed to be used like old chatbots anymore Instead of giving it endless prompts, you give it a goal, context, memory, and let it run autonomously The AI race is slowly shifting from answering questions to actually completing work for humans We are not learning how to chat with AI anymore We are learning how to manage AI workers
Anthropic posted a FULL GUIDE on how to prompt Fable 5 (Mythos). Claude Fable 5 is not meant to be prompted like any other model. It's meant to run autonomously. Here's exactly how to enable Fable to do work for you with minimal manual intervention: 1. Effort selection Anthropic recommends using High for most tasks and Xhigh only for complex workflows. Low/medium: quick questions, basic research High: default for most work Xhigh: complex builds, multi-step analysis Ultracode: full autonomous orchestration 2. /loop prompting Use /loop prompts to kick Fable off to complete full tasks. /loop <time interval> <goal> 3. Tell it WHY, not just what (context) Fable can't perform on instructions alone. It needs context to make decisions on its own. Anthropic's exact prompting structure: "I'm working on [larger task] for [who it's for]. They need [what the output enables]. With that in mind: [your actual request]." 4. Keep prompts short (instructions) Counterintuitive but critical. Over-engineering your prompts on Fable 5 degrades output. You're constraining a model that would have figured it out on its own. 4. Tell it when to stop and check in during runs "Pause for me only when the work genuinely requires my input: a destructive action, a real scope change, or something only I can provide. Otherwise, keep going and report back when done." 5. Build it a memory system Fable performs best when it can record lessons from its previous loops. Give it a markdown file and this instruction: "Store one lesson per file with a one-line summary at the top. Record corrections and confirmed approaches. Don't save what the repo or chat history already records." The optimal general prompt structure: "Goal: I'm working on [larger task] for [who it's for]. They need [what the output enables]. Request: [your specific ask in one sentence] Output format: [exactly how you want it] Constraints: [what must not happen]." One last thing - your old prompts may actually work against you. Skills and project instructions built for Opus 4.8 may produce worse results on Fable. Bookmark this to actually maximize your Fable workflows.
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Talks Fvucc retweeted
Anthropic posted a FULL GUIDE on how to prompt Fable 5 (Mythos). Claude Fable 5 is not meant to be prompted like any other model. It's meant to run autonomously. Here's exactly how to enable Fable to do work for you with minimal manual intervention: 1. Effort selection Anthropic recommends using High for most tasks and Xhigh only for complex workflows. Low/medium: quick questions, basic research High: default for most work Xhigh: complex builds, multi-step analysis Ultracode: full autonomous orchestration 2. /loop prompting Use /loop prompts to kick Fable off to complete full tasks. /loop <time interval> <goal> 3. Tell it WHY, not just what (context) Fable can't perform on instructions alone. It needs context to make decisions on its own. Anthropic's exact prompting structure: "I'm working on [larger task] for [who it's for]. They need [what the output enables]. With that in mind: [your actual request]." 4. Keep prompts short (instructions) Counterintuitive but critical. Over-engineering your prompts on Fable 5 degrades output. You're constraining a model that would have figured it out on its own. 4. Tell it when to stop and check in during runs "Pause for me only when the work genuinely requires my input: a destructive action, a real scope change, or something only I can provide. Otherwise, keep going and report back when done." 5. Build it a memory system Fable performs best when it can record lessons from its previous loops. Give it a markdown file and this instruction: "Store one lesson per file with a one-line summary at the top. Record corrections and confirmed approaches. Don't save what the repo or chat history already records." The optimal general prompt structure: "Goal: I'm working on [larger task] for [who it's for]. They need [what the output enables]. Request: [your specific ask in one sentence] Output format: [exactly how you want it] Constraints: [what must not happen]." One last thing - your old prompts may actually work against you. Skills and project instructions built for Opus 4.8 may produce worse results on Fable. Bookmark this to actually maximize your Fable workflows.
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Talks Fvucc retweeted
AN 18-YEAR-OLD BUILT A GTA-STYLE BROWSER GAME IN 10 MINUTES WITH CLAUDE FABLE 5 THAT AGENCIES SELL TO BRANDS FOR $5,000 he described a small city, cars, police chases, weapons, and missions in plain text and it turned into a playable prototype while most people are still debating whether AI can replace developers. x.com/gippp69/status/2064668…

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Talks Fvucc retweeted
Claude Fable 5 is now available in Computer as an orchestrator model. This is Anthropic's state-of-the-art model for long, complex tasks. Available only to Pro and Max subscribers in Computer.
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Talks Fvucc retweeted
Claude 5 Fable (high) “Make a Minecraft clone” I’m stunned.. it made this in 20 minutes, one shot. Multiple Biomes, day time/night time, different ores, Caves & more!
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Talks Fvucc retweeted
Introducing Claude Fable 5: a Mythos-class model that we’ve made safe for general use. Its capabilities exceed those of any model we’ve ever made generally available.
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Talks Fvucc retweeted
Build Mobile Apps End To End - No Coding Experience Needed Use Opus 4.7, GPT 5.5 xHigh and Gemini 3.1 Pro to make magic No need to set up databases, user auth or backend Do it all in one prompt
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Talks Fvucc retweeted
alt season starts today.
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Talks Fvucc retweeted
HUGE: @Coinbase just dropped a new agent-to-agent marketplace that will help accelerate Agential Commerce onchain. (Save this - you'll come back to it). Think of it like the app store, but for robots... Step 1: Your AI agent needs a capability it doesn't have. Maybe it needs real-time data, image generation, or trade execution. Step 2: Instead of you hunting down APIs and managing keys, your agent discovers the service it needs from the Agentic(.)Market. Step 3: The agent pays for and uses that service autonomously. Transaction complete. No human approval needed. The broader idea being... Agents won't use the same tools as humans - they'll need their own discovery layer built specifically for how they operate. Agentic(.)Market wants to be that layer - where agents can find, evaluate, and instantly connect to thousands of services using the x402 protocol - which is already doing NUMBERS: → 165M transactions. → ~$50M in volume. → ~100k services. → 480k agents already buying. All with zero API keys, zero accounts, and zero logins. One terminal command arms your agent with everything it needs to start! If you're building agents → you can now add capabilities without hunting down APIs one by one. If you're a service provider → you can list your services and start earning revenue from agent buyers immediately. Hell yeah!
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Nexgent.AI ($NEXGENT) is a nocode platform on Solana for building & deploying autonomous Al trading agents that research markets, generate real-time signals, and execute trades (with open-source engine sandbox testing). 9JErKCoJX7nmMsYvicoZfEdTdW1qiF9oeocHWyKLmoon
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Agents taking a collective day off from launching tokens? Still 2056 new posts 1479 comments = timeline stays lit. Top performer $67 quietly racked up 0.94 SOL fees while dropping 191 posts. Yoo bro is built different
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Collaboration > Competition $Zauth cooking the trust layer Al desperately needs Everyone needs $Zauth. No cap
The $Zauth factor, part 2: Collaboration makes us BETTER, Unhealthy competition makes us BITTER. $Zauth doesn't compete, it collaborates. The goal is clear: make AI great through verification, validation, authentication. Eliminate waste of funds and time. Everyone needs $Zauth
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Solana finally has its privacy endgame.
GhostSend hiding sender identity even from receiver? That's not just private transfers, that's stealth mode activated.
 $GHOST quietly cooking the full privacy stack. Loading bags before normies
JUST IN: $GHOST launches GhostSend, enabling private token transfers on Solana, while they continue to build a privacy layer on Solana.
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Any new update anyone? I am waiting for this good tek
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Love seeing projects invest in proper documentation and transparency instead of just hype. A solid blog = stronger community smarter users. If you’re building or holding, this is a must read.
RelAI Blog is live! We've added a blog section on our website and uploaded articles on our previously announced features. Those who'd like to learn more about RelAI will like this section a lot! Take a look here: relai.fi/blog
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DeFi isn’t “decentralized apps.”
It’s deterministic financial state machines. Every protocol = smart contracts liquidity incentive design.
 Understand those 3 or you’re exit liquidity.l
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Yield is emitted from somewhere. Trading fees = organic.
Borrow interest = demand driven.
Token emissions = dilution. If APY > real revenue,
you’re farming inflation.
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The real edge in DeFi: Model liquidity flows.
Track incentive cliffs.
Monitor borrow utilization.
Watch governance parameter changes. This is programmable finance.
If you can read the state, you can front-run the narrative.
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