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A Bittensor subnet just outscored Claude and Cursor on the SWE benchmark. They spent less than $1 million to get there. Anthropic spent billions. I sat down with Mark Jeffrey, one of the most connected people in the Bittensor ecosystem, and he broke down everything. Here's what most people...

73,314 просмотров • 3 месяцев назад •via X (Twitter)

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Two people who were early in Bitcoin and early in Ethereum just went on record about $TAO. One of them wrote a book about Bitcoin in 2013. The other invested in the Ethereum ICO in 2015. Both of them started a fund with Jason Calacanis with a single thesis. Bittensor is the third great open-source substrate after Bitcoin and Ethereum. Here is the exact framing they used. In the early 90s Microsoft, AOL, and CompuServe were the well-capitalised incumbents. Everyone thought they would monopolise and run away with the internet. Then TCP/IP, Linux, and the World Wide Web came along and everything converged on an open-source substrate. Bittensor is that open-source substrate for the AI story playing out right now. OpenAI. Anthropic. Google DeepMind. XAI. Different cast of characters. Same pattern. And this time you can actually own a piece of the open-source substrate. Now read the valuation mismatch that should stop you cold. The four main AI labs combined are worth approximately $1.5 trillion. Bittensor is worth $1.7 billion. Ridges subnet competes directly with Claude and Cursor and has beaten them on benchmarks. Ridges market cap is $30 million. Cursor is worth $30 billion. That is not a small dislocation. That is a comical one. The highest valued subnet in the entire ecosystem is around $80 million. There has never been a billion dollar subnet yet. On Ethereum during the ICO mania projects with nowhere near this quality of output were raising hundreds of millions within minutes. Now think about how many orders of magnitude more capital is chasing AI opportunities today compared to 2017. When that capital discovers Bittensor the valuation rerating will be violent to the upside. Their exact words. Not mine. The man who called $TAO at $3,000 by end of 2026 said it directly. By 2030 it will be a trillion dollar ecosystem. Every molecule in my body is screaming this is another one. The people who read the docs always buy before the people who read the price. This is still early.

2xnmore

35,144 просмотров • 24 дней назад

$TAO just reclaimed the #1 AI crypto spot. Most people saw the headline. Almost nobody understands what it means for the price. Here is the data. $NEAR built real infrastructure. Partnerships. Developer activity. A legitimate ecosystem. $TAO just walked past it anyway. Not because of hype. Because Bittensor is the only AI crypto with a functioning marketplace for machine intelligence where supply, demand, and price discovery are all happening on-chain right now. That is not a roadmap. That is a live network. The numbers. 120+ subnets running today. $1.4B+ total ecosystem value. Chutes AI subnet: 150B+ tokens per day. Grayscale GTAO Trust: already live. Single subnet listed on the marketplace at $970,000 asking price. Subnets are becoming assets. The market is starting to price that. What the emission data is telling you. Emission rate is the network's vote on where the most valuable work is being done. When a subnet gains emission share, the collective stake-weighted intelligence of the network has decided that subnet's output is worth more of the TAO supply. Chutes AI gaining emissions while processing 150B tokens daily is not a coincidence. The network is directing capital toward proven output before any headline announces it. Why mainstream money changes everything. James Altucher just launched bluetao. ai, a TAO-powered ChatGPT alternative built directly on Bittensor subnets. He did not just buy the token. He built a product on the network. Products built on a network create structural demand for the native asset. That is how every successful L1 cycle has worked. Bittensor is now getting that builder activity from outside the crypto native world. That is a different signal from a price target tweet. Why $TAO is structurally different. Most AI tokens are betting their chain becomes the preferred environment for AI development. $TAO is not betting on becoming infrastructure. It already is. 120+ subnets running. Miners competing. Validators setting weights. Alpha tokens being priced in real time. The difference between $TAO and every other AI crypto is the difference between a city under construction and a city people are already living in. Van de Poppe said $1,000 to $2,000 in 12 months. He gave you the narrative. The subnet emission data is the mechanism he did not explain. Now you have both. $TAO at $313 with a $3.42B market cap is still early relative to what this network is actually processing. Centralised AI infrastructure companies are valued at hundreds of billions for processing far less novel work than a decentralised intelligence marketplace running 120+ competing subnets simultaneously. The repricing has not happened yet. The subnet marketplace listing at $970,000 is telling you something the price has not caught up to yet.

2xnmore

12,150 просмотров • 1 месяц назад