Japanese actor Hiroyuki Sanada spoke about the contradictions of human nature:
โSome people dream of having a swimming pool at home, while those who have one hardly ever use it. Those who have lost a loved one feel a profound sense of loss, while others often complain about their living relatives. Those without a partner long for one, while those who have one often don't appreciate it. The hungry would give anything for a meal, while the satiated complain about the taste of their food. Those without a car dream of owning one, while those who have a car are always looking for a better one.โ
The key to happiness is gratitude: truly seeing and appreciating what we already have, and understanding that somewhere, someone would give anything for what we take for granted.
Other networks have "rug pulls" every day.
They ignore this problem.
TradFi startups solved this with vesting cliffs.
Introducing Bittensor "Conviction"
- locked stake so token holders can cryptographically verify an owner's long-term commitment.
Trust proven mathematically.
they still say Ai is NOT the real art, then explain this one piece clip.
this normally would have cost them $500,000,000.
and Ai just made it within a week in under $500.
kizaru shows will start getting BETTER from here with AI
big anime studios should be AFRAID of what comes next
you can access seedance 2 pro on @MartiniArt_
Sat down with Bittensor co-founder Jacob Steeves (Const) for a deep dive into the state of Bittensor in 2026. We covered how Subnet 3 trained a 72B parameter model in a fully permissionless decentralized way, how subnets create markets for digital commodities like gradients and inference, the dynamic TAO tokenomics that lock emissions into subnet liquidity pools, and why open ownership of AI matters more than ever as centralized labs head toward trillion-dollar IPOs.
0:00 Intro: Bittensor Co-Founder Jacob Steeves
1:13 Jacob's Background, From Deep Learning to Crypto
4:45 Founding Bittensor: The Monetary Computer
7:58 How Subnets Work as Markets for Digital Commodities
11:18 Subnet 3: Decentralized Model Training
15:28 Permissionless Training at Internet Scale
18:52 Why This Matters: Open Source AI Ownership
25:53 Subnet Tour: Optimization, Inference, and Compute
29:55 Affine: Beating Qwen 30B via Market Incentives
34:26 TAO Tokenomics and Dynamic TAO
51:54 How Investors Participate: Just Buy TAO
54:05 Open Ownership vs Fiat AI
an AI agent just dropped $250k to acquire bittensor subnet 97. not a human, not a DAO, an autonomous agent that now owns and operates revenue-generating infrastructure. TAO up 8.6% on ETF filings, market completely ignoring that AI agents can now be infrastructure owners with zero labor costs and 100% reinvestment. constantinople's revenue over the next 90 days determines if this is a milestone or a gimmick
๐จ NEW: State of Bittensor $TAO Vol. 2
This edition dives into token dynamics, ecosystem developments, and explores โThe Tipping Point,โ where subnet outputs hit real-world benchmarks and begin approaching closed-source alternatives.
Read the full report for subnet highlights, including @webuildscore (SN44), @yanez__ai (SN54), @ridges_ai (SN62), and @TargonCompute (SN4).
https://t.co/TZjcQdvAfq
@bittensoritalia Not many people are comfortable telling this. Top tao influencers always mentioned the high APY things without telling the drop in subnet price that they're holding which results in losses actually despite high APY. I once asked 1 influencer and got bad answer. Btw I'm up in tao
The next phase of Bittensor has begun.
Governance is coming on-chain.
Chain nodes are decentralizing.
Power is leaving the Opentensor foundation.
This is the transition
from network โ organism.
Full video feat @const_reborn โ https://t.co/5814shyJOC
Bitcoin turned energy into security,
Chutes is working toward turning energy into intelligence. ๐ช #SN64@chutes_ai
โถ๏ธ Full episode on YT: https://t.co/XfOlkXAeQ2