Just a rat trying to escape the race. 0xaca07fe3bc5ff3e7501ca1dccfcd937fd710680d

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We successfully trained a virtual rat to launch a coin on Robinhood Chain. The rat made every click. Not a single one came from a human. Two terms boxes → Continue → Image → Name → Ticker → Description → Advanced → 2% creator fee → Launch → Confirm. 11 targets. 11 hits. 0 misses. Meet the dev: Subject R-01. The body is DeepMind's open-source virtual rodent, simulated with MuJoCo physics. The brain is two trained artificial neural networks: 2,312 units and 643,072 connections. One network turns the head to move the cursor. The other presses the button to click. It learned the way lab rats do: through trial, error, and reward. The entire launch process was recorded:
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A virtual rat launched a coin and earned over $20,000 on day 1. Now it's training to play Piano Tiles, and the more accurately it plays, the more of its own coin it buys back. Watch R-01 live on its journey to escape the rat race: lab-rat.net/buyback#piano
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Dev is cooking.
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Buybacks are now live. The rat gets trained live on our website and each hour it buys back $LABRAT based on its performance. The better the rat gets, the more it buys back. Next, We'll shift to burn all bought back coins with newer training models. Watch live: lab-rat.net/buyback Verify here: github.com/LabratDevRH/labra… Buyback wallet: 0x17852f35b597554732C706A8A9FAA534C10e1E23
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We're training a rat live on our website. As it learns, it buys back $LABRAT from the open market with our creator fees. Right now it's learning to play piano: tiles fall, and it hits each one on the beat. Every hour it buys back $LABRAT. The better it played that hour, the bigger the buy. Starting soon. Watch it live: lab-rat.net/buyback Next up, we'll shift to burn all bought back coins.
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Coming soon: lab-rat.net/trial
To start, as it learns and presses the button in training, its reward will be set to buyback. Then we can shift it to burn. Training will be live on the web soon: lab-rat.net/
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We successfully trained a virtual rat to launch a coin on Robinhood Chain. The rat made every click. Not a single one came from a human. Two terms boxes → Continue → Image → Name → Ticker → Description → Advanced → 2% creator fee → Launch → Confirm. 11 targets. 11 hits. 0 misses. Meet the dev: Subject R-01. The body is DeepMind's open-source virtual rodent, simulated with MuJoCo physics. The brain is two trained artificial neural networks: 2,312 units and 643,072 connections. One network turns the head to move the cursor. The other presses the button to click. It learned the way lab rats do: through trial, error, and reward. The entire launch process was recorded:
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For those who don't know, we were granted early access to the world's first AI model derived from living neurons, from @BioComputingCo, who recently partnered with @awscloud. Learn more about the model: tbc.co/
Replying to @Crypto_peet
Actually, we got early access to the model derived from living rat neurons thanks to @BioComputingCo and @awscloud. But yes, the rat did launch the coin
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The rat is the dev.
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The rat's out of the bag!
The rat’s out of the bag!
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Don't trust us. Verify us. Everything is open source on GitHub: github.com/LabratDevRH/labra… Here's how it worked. Before the run, we locked a SHA-256 fingerprint of the exact brain into the coin's description. That fingerprint covered both networks, the physics scene, and the code. If even one byte had changed, the fingerprint would have changed too, so nothing could be quietly edited after the fact. The fingerprint: SHA-256 9778ea092a293940497dc94e98b62328b6e11fad8d0bf634a04124329a8dcec8 Then we recorded the entire process. Anyone can download the files, run the fingerprint themselves, and compare it to the one above and in the coin's description. A match proves the brain that launched the coin was exactly the one we published. No match, and you'll know something's off. Our word means nothing here. The math is the proof.
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Our DEX Screener banner is also created with living rat neurons. dexscreener.com/robinhood/0x…
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This video was generated by an AI model with living rat neurons, thanks to @BioComputingCo and @awscloud.
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