FirstTensor.com

I'm seriously thinking about launching a CRYPTO AI MODEL COMPETITION on Crypto GL1F, with genesisl1:native prizes for the winners. The crazy part? ✅ANYONE can participate. ☑️ No coding skills. No expensive GPUs. No AI expertise required. Crypto GL1F just broke the coding barrier for building AI models, much like Pumpfun did for launching tokens. And burns 100% of the genesisl1:native collected through its platform fees. With just a few clicks, you can build your own crypto AI model, publish it on Crypto GL1F and potentially monetize it on-chain. Now imagine competing against hundreds (or potentially THOUSANDS ) of other AI models for a nice bag of genesisl1:native. Challenge example: Can your AI model predict whether BTC will rise 1% within the next 12 hours WITHOUT dropping more than 1% first? How would the competition work? Everyone will have 7 days to create and publish their AI models on Crypto GL1F. Once that window closes, the 14-day competition begins. During those 14 days, the market moves, but no new models can enter. After the 14 days are over, we'll backtest all submitted models against that exact period of market data to see which performed best. Best-performing models win genesisl1:native. Simple. Transparent. Verifiable. How many people can participate? UNLIMITED. And how many AI models can each participant submit? UNLIMITED. Imagine how many genesisl1:native tokens this competition could end up burning. Btw, don't even think I'll be touching my own genesisl1:native bag. I'll be buying the tokens for the prize pool directly from the open market. Everything will be fully transparent and verifiable on-chain. What genesisl1:native prize pool would get you to join? 👀

Let me sound crazy again. Just like I did with $TAO many years ago, back when it wasn’t even listed on a single exchange. - Genesis genesisl1:native will enter top10 in the next bull run. - Science and biotech become the BIGGEST narratives, delivering major breakthroughs in drug discovery, cancer research, neurodegenerative diseases and potentially even therapies targeting biological aging. - The entire human reference genome and thousands of public human genomes live on GenesisL1. Versioned like Git repositories, with verifiable provenance, on-chain random access and smart-contract verification. What sounds crazy today becomes normal scientific infrastructure with Genesis genesisl1:native. - Thousands of laboratories, universities and biotech companies use GenesisL1. Not to speculate on crypto, but to register genomic datasets, track research versions, verify computational results, protect intellectual property and collaborate across institutions. - AI agents become actual scientific researchers’ assistants. Imagine Claude or other AI systems accessing millions of molecular records, comparing protein structures, analyzing sequences, building datasets and calling specialized models through Genesis infrastructure. GL1X is already an early glimpse of this. - Institutions use GenesisL1 without even knowing they’re using crypto. Laboratories pay in stablecoins while the underlying infrastructure converts the required fees into $L1. Real network demand comes from actual scientific activity, not just speculation. Learn GenesisL1.

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