Bittensor $TAO Is Heating Up 🚨 AI Crypto Bounce, Validator Shakeup & Subnet War Explained
Автор: BTM Crypto News Network
Загружено: 2026-07-02
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Bittensor $TAO Is Heating Up 🚨 AI Crypto Bounce, Validator Shakeup & Subnet War Explained
In this video, we take a deep look at Bittensor (TAO) — one of the leading AI cryptocurrencies — and analyze the upcoming TAO halving, its potential impact on supply, long-term tokenomics, staking, ecosystem growth, and price action. With more than 70% of TAO staked, a limited supply of 21M tokens (same as Bitcoin) and strong institutional interest, many investors are asking the same question:
Something big just happened inside the Bittensor (TAO) ecosystem — and it may explain the sudden surge in TAO’s price.
In this episode, I break down the real reason behind Bittensor TAO’s recent price spike and why it may have less to do with speculation and more to do with a major AI infrastructure breakthrough.
Bittensor’s Subnet 3 successfully trained Covenant-72B, a 72-billion-parameter language model trained on 1.1 trillion tokens of data.
Why does this matter?
Because achievements like this are usually only possible by massive tech companies such as OpenAI or Google with enormous computing resources.
But Bittensor just proved something powerful:
Decentralized networks can train large-scale AI models.
For many investors, this milestone signals that Bittensor may be evolving into a real competitor in the AI compute market — one of the fastest-growing technology sectors in the world.
Nvidia CEO Jensen Huang validated Bittensor's decentralized AI training on the All-In Podcast, and TAO surged from $190 to $290 in two weeks. I break down Templar's Covenant-72B milestone, how subnets like RESI and Chutes are already generating real revenue, and why Grayscale just filed for the first TAO ETF.
🛑 Disclaimer:
This video is for educational and informational purposes only and does not constitute financial advice. All opinions expressed are personal and not from a licensed financial advisor. Please do your own research before making investment decision
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