Bittensor (TAO) subnet explorer What if AI belonged to no one?

When you ask an AI a question, a computer somewhere has to run the model to answer. These subnets do that job, like ChatGPT's API, but on thousands of independent computers.

Like: OpenAI API, Together AI, Groq

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Renting computing power (graphics cards) by the hour to run or train AI, like on Amazon Web Services, but from an open network of providers.

Like: Amazon Web Services, CoreWeave, RunPod

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Building and improving AI models. Instead of a single lab, people all over the world compete to produce the best model.

Like: OpenAI, Mistral AI, Hugging Face

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Collecting, cleaning and searching the information AI needs: web pages, social networks, labelled examples.

Like: Scale AI, Bright Data, Perplexity

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AIs that don't just answer but act: write code, do research, complete a task from start to finish, like an autonomous assistant.

Like: Claude Code, Devin, Cursor

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Predicting the future: crypto prices, event outcomes, trading signals. The best forecasters get rewarded.

Like: Bloomberg Terminal, Kalshi, Numerai

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Spotting what is fake or dangerous: deepfakes, AI-written text, security holes in code.

Like: Reality Defender, GPTZero, HackerOne

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AI for research: finding new medicines, reading DNA, forecasting the weather, solving maths.

Like: AlphaFold (Google DeepMind), Recursion, Insilico Medicine

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Creating and understanding images, videos and 3D objects with AI, like Midjourney does.

Like: Midjourney, Runway, Adobe Firefly

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The pipes of the internet: storing files, moving data around, private connections.

Like: Dropbox, Cloudflare, NordVPN

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Teaching robots and cars to understand and move around in the real world.

Like: Waymo, Figure, NVIDIA Isaac

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