I bought my first TAO at 40$ and I bought my first subnet on DTAO Day. (Feb 14, 25)
I am here to help you on your TAO journey!
To help you better understand the subnets and what they do.
I am here to help you understand any aspect of TAO and its ecosystem.
A few days ago I came across https://t.co/UK2M6ffyFX by @allan_quantifi and this is by far one of the best update pages I’ve seen for the subnets.
So much information here that I would usually miss because I’m not available 24/7 on different discords groups.
Needless to say I subscribed immediately!
And I highly recommend you to at-least take a look.
I’m not affiliated at all, just a happy costumer!
10.000$ sounds delusional, right?
With all the quality work being done on certain subnets I think this can actually be a reality.
I don’t know if TAO will go to 1.000$ or 17.000$ this coming run but I do know this!
TAO is producing a TON more quality than some of these top 10 coins and definitely deserves a fair spot on the top list.
And seeing how TAO quickly bounced back from the bloodbath on 10th of October the market is starting to realize this.
Up we go! 📈
$TAO
Thank you for reading
As @TaoAnalyst, I’m here to provide clear, easy to understand informational posts about TAO and its subnets, deep analysis etc.
And this one was a VERY simplified version of TAO to start with.
What’s your first TAO question?
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TAO 101: A Simple Introduction to Bittensor and Decentralized AI
Curious about TAO but overwhelmed by the Eco System? Bittensor (TAO) is the ‘Bitcoin of AI’—a decentralized network that rewards open collaboration on AI development. No central control, just transparent incentives for better tech. This thread breaks it down simply. Let’s get started. 🧵 ⬇️
#TAO #Bittensor #DecentralizedAI
- dTAO & Why It Matters
Introduced in February 2025, dTAO adds dynamic ownership: It lets users acquire shares in subnets, vote on improvements, and receive proportional rewards. Why does TAO matter? It democratizes AI, reducing reliance on tech giants and fostering open, efficient models. As adoption grows, so does its potential impact.