🤖 WHY BITTENSOR $TAO CAN 100X - The Undisputed A.I. Crypto Leader

Summary

In this podcast episode, the hosts dive into decentralized AI solution Bit Tensor and why its native token TT could see exponential growth. They explain Bit Tensor's architecture of 32 specialized subnets that allow AI models to learn from each other, creating a snowball effect in technological advancement. They highlight innovative subnets like medical image analysis, financial prediction models, and procedurally generated 3D world creation for gaming. With exponentially increasing subnets and capabilities, Bit Tensor appears poised to become a dominant player in AI and machine learning, which could drive TT to substantially rise from its current $7 billion market valuation.

Takeaways

• 😊 Bit tensor is a decentralized AI solution, similar to how Bitcoin is a decentralized finance solution
• 👨‍💻 There are 32 subnets working on specialized AI tasks that share learnings with each other
• 💡 Subnets like Noose are advancing natural language models using techniques like continuous fine-tuning
• 📈 TOI prediction models subnet focuses specifically on bitcoin price forecasting up to 8 hours ahead
• 🤝 Associations like with multi-billion dollar company Hugging Face bring legitimacy and connections
• 💰 Miners are financially rewarded for contributing models and data to subnets like TOI
• 🔮 Predictive models will be used across industries like finance, healthcare, science etc.
• 😷 Decentralized healthcare AI will help save lives by enabling access to expertise globally
• 🎮 404 Mission subnet works on 3D content generation for gaming, metaverse and digital assets
• 👍 Competitive element ensures subnets continue generating value after getting a spot

Q & A

What is Bit Tensor and how does it work?

Bit Tensor is a decentralized AI network built on blockchain. It allows anyone to contribute computing power to train AI models. In return, contributors earn rewards in the form of the Bit Tensor utility token (TT).

What are subnets and what is their function?

Subnets are specialized groups within the Bit Tensor network focused on developing AI solutions for specific use cases like computer vision, natural language processing, etc. They allow the AI models to share learnings and advance faster.

How many subnets exist currently and what determines which subnets are part of Bit Tensor?

There are 32 subnets currently. New subnets must compete to join the network. Existing subnets also compete to remain part of Bit Tensor - they must continually generate activity and contribute value to stay in the network.

What are some examples of existing subnets and their use cases?

Some examples are Noose (for improving AI language models), TOI Prediction Models (for Bitcoin price forecasting), Subnet 31 (decentralized healthcare and medical imaging diagnosis) and Subnet 32/404 Mission (AI-generated 3D art and assets).

How does the Bit Tensor token (TT) gain value and utility?

The Bit Tensor token is used to reward miners and validators who contribute computing power, data, AI models and other resources to train and improve the decentralized AI. As Bit Tensor's capabilities improve, demand for the token increases.

What major companies are partnered with or investing in Bit Tensor subnets?

Major companies partnering with Bit Tensor subnets include Coinbase, Hugging Face (partnered with Noose) and Nvidia. Their support validates the real-world applicability of Bit Tensor's decentralized AI solutions.

How could Bit Tensor's healthcare solutions (like Subnet 31) impact the world?

Decentralized AI healthcare solutions can democratize access to quality diagnostics and care globally by reducing costs and needing fewer skilled healthcare professionals on-site. This could greatly benefit developing nations.

How will Bit Tensor change video games and metaverse worlds?

Bit Tensor subnets focused on 3D and video rendering (like Subnet 32) could dynamically generate metaverse environments, avatars and other assets for substantially less cost. AI will also allow infinite unique video game levels.

What is the long-term disruptive potential of Bit Tensor's decentralized AI network?

Bit Tensor could lead to AI solutions that are more powerful, less biased and accessible to anyone due to decentralization. Over time it aims to disrupt Big Tech's domination of AI research and solutions.

Why does Bit Tensor's architecture lead to a powerful flywheel effect for its AI capabilities?

As each subnet evolves AI solutions for its niche, it shares those advancements with all other subnets. So every subnet's capabilities improve exponentially over time - leading to rapid compounding growth.