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vblackout
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Bearish
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Since
FET
dropped below $0.50, it’s become complete chaos.
$FET
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FET
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Financial markets are annoying: you always take a big slap, and then once the market realizes it’s not the end of the world, everything bounces back as if nothing happened. Grrr. $FET
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I feel so alone on FET, it’s horrible guys 😭$FET
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I’m no longer afraid of holding a project like FET in my wallet tomorrow compared to Bitcoin, because there’s no real utility in holding Bitcoin—it’s like gold, just a rock. Okay, keep your rock lol 😄 $FET
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Fetch vs ChatGPT AI Chatbots Answer vs AI Agents Act. ChatGPT-style AI (classic model) - User asks a question - AI generates a text answer - Interaction ends Key traits - One-shot responses - No autonomy - No native actions - No internal economy In short: ChatGPT answers questions. --- Fetch.ai (agent-based system) User interacts with an AI agent The agent can contact other agents Agents fetch data, analyze, decide, and act Services are paid via FET micropayments Key traits - Autonomous agents (24/7) - Multi-agent coordination - Actions + decisions, not just text - Built-in economic layer (FET) In short: Fetch.ai builds autonomous systems that work. Core difference (one line) ChatGPT talks. Fetch.ai acts. Clear. Practical. Future-ready. Tomorrow, more and more autonomous AI agents will be present, and Fetch is part of this ecosystem. Fetch can take a single action and create a sequence of roles—for example, when the alarm rings, it opens the blinds, starts the coffee, and prepares breakfast. That’s exactly what Fetch.ai does.
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What is FET used for in the agent ecosystem (Fetch.ai / ASI) FET is the economic fuel of autonomous AI agents. Agents are not chatbots. They are software entities that analyze, decide, and act autonomously (24/7). How FET is used Payment for AI inference (e.g., ASI:One) Agent-to-agent micropayments Access to services (data, compute, execution) Economic incentives to build and provide high-quality agents - Every useful action has a cost in FET. - Every service delivered can be priced in FET. - Real cost of an agent (order of magnitude) Simple request: ~0.001 – 0.003 FET Standard analysis: ~0.003 – 0.006 FET Advanced analysis: ~0.006 – 0.01 FET 👉 Even at scale, these are micropayments. Concrete example An agent that: - analyzes information, - makes a decision, - triggers an action, costs ~0.005 FET per cycle. 10,000 cycles per day ≈ 50 FET per day. Why this matters for investors More active agents → more FET consumed No empty hype: real, repetitive usage Scalable model: volume over speculation Aligned with the future: autonomous agent economies In one sentence FET is not a “narrative” token. It is a utility token continuously consumed by working AI agents. Simple. Efficient. Future-oriented. $FET
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