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This is HUGE. And this is exactly why I keep telling people to pay attention to @genesis_L1. Imagine AI agents having access to over 100 MILLION biological sequences, the entire human reference genome, and tools to search protein structures, compare 3D folds, analyze sequences and much more. Well… that’s the scale GenesisL1 is aiming for. Its blockchain explorer, GL1X, already gives AI agents access to over 1 MILLION molecular records and 43 bioinformatics tools. Also planning to add 100 MILLION+ sequences and the entire human genome on-chain. Let that sink in. genesisl1:native

Feels like a new narrative is starting to take shape. Science! AI-driven drug discovery is going to be HUGE. As AI agents become increasingly involved in scientific research, they'll need more than intelligence. They'll need access to scientific data, computational tools, reproducible results and verifiable provenance. This is where @genesis_L1 gets very interesting. Its GL1X explorer gives AI agents access to over 1 MILLION molecular records anchored on GenesisL1 and 43 bioinformatics tools. Protein structures. Sequence analysis. Molecular comparisons. Scientific literature. This could eventually become one of the most powerful narratives in crypto. Drug discovery. Biotechnology. Longevity. Open science. Think about the amount of value that could be created in these industries. Learn GenesisL1. genesisl1:native Don't be lazy.

This blockchain explorer is absolutely MIND-BLOWING. 🤯 Seriously. Take a look at the GL1X explorer. genesisl1:native This is not your typical blockchain explorer where you check transactions, wallets and validators. This is a blockchain explorer combined with a working BIOINFORMATICS LAB. Let that sink in. Over 1 MILLION molecular records living on-chain. Protein structures. Molecular data. AI models. Scientific research. And here’s where things get CRAZY. Connect Claude or ChatGPT through MCP and your AI agent gets access to 87 tools, including 43 for bioinformatics. Your agent can explore molecular structures, compare proteins, analyze peptides, search scientific literature and build datasets for AI models. All through a blockchain explorer. No API key. No sign-up. And the entire thing is OPEN SOURCE. WTF??? Now think about something. If this is what a BLOCKCHAIN EXPLORER looks like on GenesisL1… Can you even imagine what the entire infrastructure could become? And that’s exactly what I’ve been trying to explain for months. GenesisL1 is not just another blockchain trying to find a use case. It’s an infrastructure being built around science, AI, verifiable data, computation, intellectual property and machine payments. This explorer alone gives you an ideea of how much bigger this vision is than the typical crypto narrative. I believe most people have absolutely no idea what they’re looking at when they first discover GenesisL1.

The entire Human Genome on-chain. genesisl1:native Probably nothing. 👀

Did you know that you can launch your own crypto AI model with ZERO CODE, thanks to this crazy platform built on GenesisL1? 🤯 GL1F - This HUGE dApp is just a small piece of what we can build on GenesisL1. YES - You can launch your own crypto AI model with ZERO CODE. Everything on-chain runs on genesisl1:native 100% of the dApp fees are designed to be burned by whoever wants to press the burn button. Decentralization level 1000. If we think about what Pump.fun did by removing the coding barrier to launching tokens... imagine what GL1F could do by removing the coding barrier to building AI models. This dApp could become HUGE. And it doesn't have to stop at crypto. Stocks, sports, weather, finance, biotech... basically any problem that can be tackled with tabular data. HUGEEEE. But at the same time, it shows just a tiny fraction of GenesisL1's infrastructure potential. Because when we talk about GenesisL1, we're talking about: - Deterministic, on-chain AI inference: models whose computations can be independently reproduced and verified. - Tokenized AI models: turning models into ownable, transferable and potentially revenue-generating assets. - A decentralized AI inference marketplace: where mainstream AI models can be deployed and served by independent operators. - AI agents and machine-to-machine payments: autonomous agents discovering services, requesting inference and paying in genesisl1:native. - Scientific infrastructure: molecular structures, research datasets, reproducible computation and verifiable scientific provenance. - Privacy-preserving collaboration: encrypted models and scientific artifacts that can be shared with authorized parties. - A foundation for biotech, pharma and open science: infrastructure for building, tracking and collaborating on scientific research. The gap between what GenesisL1 is building and how little attention it gets so far is absolutely fascinating. Learn GenesisL1.

The man is setting the stage for the next big narrative. DeScience. And I genuinely believe no blockchain is better positioned to lead this narrative than GenesisL1. genesisl1:native Most people have no idea what’s being built.

How to launch your first crypto AI model on GenesisL1. NO CODING REQUIRED! 🤯 Here’s a quick guide to GL1F Crypto 👇 1️⃣ CHOOSE YOUR DATA Open crypto.gl1f.com → Create Crypto AI model. Select: • Exchange: where the data comes from. • Market: the coin you want to study. • Candle: data resolution - 15m means one candle every 15 minutes. • Start / End: the historical period your model will study. For this example: Binance → ETH → 15m candles → six months of completed history. 2️⃣ DEFINE YOUR QUESTION Use these example settings: • Direction: Up • EMA baseline: 5 • Target: 1% • Stop: 0.5% • Horizon: 5 hours EMA is a moving average that gives more weight to recent prices. “5” means five candles. Your question becomes: “Will ETH reach 1% above EMA5 before reaching 0.5% below it, within the next five hours?” Both levels are measured from the EMA baseline. The model learns from historical yes/no outcomes. 3️⃣ CHOOSE YOUR SIGNALS Signals are the information the model can see: price changes, volatility, volume, momentum, BTC movements and more. Start with the “Optimal” preset. More signals don’t automatically mean a better model. Click “Build dataset” → “Continue to training”. 4️⃣ TRAIN YOUR MODEL For your first experiment, keep the default model settings and use “Walk-forward” validation. That means learning from earlier data and testing on what happened next. The main settings: • Trees: how many learning steps the model can take. • Depth: how complex each tree can become. • Learning rate: how much each tree contributes. • Min leaf: minimum examples supporting a final tree decision. • Final test %: the latest data reserved for evaluation. Keep early stopping enabled: it stops adding trees when validation stops improving. Train, inspect the results, then save your .gl1f file. 5️⃣ BACKTEST WITH COSTS Use the final test period and include fees and slippage. “Entry threshold” is the minimum probability required for a simulated signal. 0.60 = at least 60%. Start with 1× leverage for this exercise. Check drawdown, trade count and the full equity curve - not just the final return. Avoid repeatedly changing settings to make the same final test look better. 6️⃣ RUN INFERENCE Inference means asking your trained model to evaluate a new completed candle. A result of 0.72 means: “The model estimates a 72% probability of the specific event you defined.” It is an estimate, not a guarantee. 7️⃣ OPTIONAL: PUBLISH When deployment is available, you can mint your model as an NFT on GenesisL1, choose its license and configure free access, tips or paid usage. Pick a market. Define a question. Build. Test. Learn. No code required. Fees are burnable. Experimental research software. Backtests are simulations; the platform explicitly excludes live trading and automated execution. 🤝 genesisl1:native

The craziest dapp is live on Genesis genesisl1:native. Pumpfun for machine learning! You can literally launch your own crypto AI model. No code. No server. No sign-up. Everyone will learn how to burn $L1 tokens to launch crypto price prediction models for any crypto asset - bittensor:native , ethereum:0x4a220e6096b25eadb88358cb44068a3248254675 , zcash:native and so on - and eventually monetize them on-chain. 🤯 The game will eventually expand - stocks, sport, weather, whatever, any tabular problem. Be ready for the moment the mass will wake on this. ⏳ Working on a tutorial so everyone can understand how easy can you launch AI models with GL1F. This can get addictive. So be ready to burn $L1 tokens on a daily basis. Learn GenesisL1. 🤝

Why is genesisl1:native up 180% in the last week? Because a few people have started to find out what Mike is cooking. More and more will follow. The hottest thing atm is GL1F. You can think of it like Pumpfun for machine learning. If Pumpfun went that crazy by breaking the code barrier for launching tokens, where 99.99% of them are rugs, imagine what GenesisL1 can do by breaking the code barrier for launching your own GBDT AI model. Then tokenize it and eventually monetize your work. No coding skills required. Everything settled in $L1 The collected fees? BURNED. 🔥 But hey… that’s just a small piece of what can be done on this infrastructure. As I’ve always mentioned in my posts: Learn GenesisL1. Don’t be lazy.

Pumpfun for machine learning. ⏳ It’s being built now, and it will burn genesisl1:native tokens. I know this is HUGE, but at the same time, it’s just a little piece of what can be built on the GenesisL1 infrastructure. Learn GenesisL1.

Something HUGE is being built on Genesis genesisl1:native as we speak! Market cap can literally teleport. This is not hype. Is real demand. The craziest Web3 infrastructure I’ve ever seen.

At this point, I’m convinced some VCs and big players are quietly accumulating genesisl1:native 🫢 This infrastructure could be worth trillions to science.

Who's ready to mine bittensor:native from space?

The more AI enters real science, the more reproducibility and provenance matter. Which exact model produced the result? Which version? Can another researcher reproduce it? AI can accelerate discovery. GenesisL1 can help make the computational path verifiable and reproducible. The intersection of AI with infrastructure like Genesis genesisl1:native could dramatically accelerate the research cycle itself.

Today, I’m publishing an article about a project that deserves x10000 attention. GenesisL1. genesisl1:native An incredible infrastructure opening up massive possibilities in a world where AI and data are becoming so important. GenesisL1 isn’t something you can explain in a single sentence. So I wrote an article to capture as much of the essence of this infrastructure as possible…what has already been built, what it enables, and where it could lead. GenesisL1 puts blockchain technology to work where it can actually matter. Not blockchain for the sake of blockchain. Blockchain where ownership, verifiability, transparency, and trust actually have a purpose. Full article within the next two hours. 🤝

This could get stupid real quick. We are not ready. bittensor:native