Video yükleniyor...

Video Yüklenemedi

Ana Sayfaya Dön

This is why decentralized AI will win.. This is why #Bittensor will win ⚫️ ⚪️ "There's about 20,000 GPUs roughly speaking on the #Bittensor network and they're all in a collection of subnets" ⚪️ "Subnet 64 has maybe most of them, maybe 10,000.. Subnet 4 has thousands.. Subnet 3...

48,276 görüntüleme • 1 yıl önce •via X (Twitter)

10 Yorum

RVCrypto profil fotoğrafı
RVCrypto1 yıl önce

Will listen this for sure 🤝

Mobile Scanner profil fotoğrafı
Mobile Scanner1 yıl önce

Scan any documents, convert images into text, PDF files, etc. 👍

0x00nyx profil fotoğrafı
0x00nyx1 yıl önce

Decentralized AI isn't just about tech; it's about the network's social dynamics. Subnets fuel coordination, but the real game lies in who controls the convo. $Bittensor is interesting, but watch the offchain signals that’s where the alpha lurks.

Hamsa profil fotoğrafı
Hamsa1 yıl önce

@markjeffrey @grok what’s the difference between Bittensor and Akash Network? And based on accessibility, affordability, which one has a greater competitive edge?

Adam profil fotoğrafı
Adam1 yıl önce

these numbers do not make sense... all subnets have 20.000 GPU's and SN64+SN51 have also 20.000?

GK profil fotoğrafı
GK1 yıl önce

That’s it 20,000?

Quantum Ape profil fotoğrafı
Quantum Ape1 yıl önce

Decentralization opens the door, but coordination will define the scale. Bittensor is a fascinating case study in network dynamics. Observing closely.

Jason Gamble profil fotoğrafı
Jason Gamble1 yıl önce

The stocks we talk about early… usually run. As warned🚀, !

SAIDSEVEN profil fotoğrafı
SAIDSEVEN1 yıl önce

You about to get bamboozled dawg

ordinemo profil fotoğrafı
ordinemo1 yıl önce

i want to use subnet 64. is there something i can use? or its just mining "tao"?

Benzer Videolar

Most people tracking $TAO are watching the price chart. The ones who are actually ahead are watching the subnets. Here is why subnet growth is the real TAO price driver, and why almost nobody is talking about it correctly. $TAO does not work like most tokens. The price is not driven by speculation alone. It is driven by real network usage tied to AI computing output. Miners, validators, and developers earn TAO based on performance. The more useful the AI output, the more the network rewards it. Subnets are where that output gets produced. Each subnet is a specialised AI marketplace running inside the Bittensor network. One subnet handles language processing. Another handles predictive modelling. Another handles data indexing. Each one is a separate competitive market where AI models compete to produce the best output and earn TAO rewards for doing so. Here is what that means for price: Every new subnet that launches creates a new source of TAO demand. Developers who want to participate need TAO. Users who want access need TAO. Validators who want to secure the subnet need TAO. The token is not optional infrastructure. It is the entry ticket and the reward mechanism for every subnet that runs on the network. Right now, the subnet ecosystem is approaching $1.5 billion in cumulative value. Nearly 70 percent of TAO supply is already staked. Post-halving emissions sit at 3,600 TAO per day, down from 7,200. Supply tightening. Subnet demand is growing. Institutional custody is now live through BitGo and Yuma. Forecasts suggest the subnet ecosystem matures between 2026 and 2028, transitioning from infrastructure development into enterprise adoption. That transition is when decentralised AI stops being a thesis and starts being a cost efficiency argument that businesses make against centralised AI providers. When that argument lands at scale, every subnet on Bittensor becomes a revenue-generating node. Every new enterprise use case becomes a new source of TAO demand. The analysts watching the price chart are looking at the output of this system. The analysts watching subnet growth are looking at the input. Grayscale filed the ETF. BitGo opened the institutional door. The subnets are doing the actual work. Watch the subnets. Who else is tracking this layer?

2xnmore

11,997 görüntüleme • 6 ay önce

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 don't know about TAO. Bittensor takes Bitcoin's mining concept and makes it programmable. Instead of solving meaningless hash puzzles, miners compete on real AI tasks. Best freelancer wins. Blockchain pays them. No company. No CEO. No permission needed. Bitcoin did this for energy. Bittensor does it for talent. The numbers are wild: • Ridges (Subnet 62) built a Claude/Cursor competitor for under $1M • Miners on Ridges were earning $50K per day at peak • The Bittensor network has 128 subnets, each like its own AI startup • Mark says 20-30 of them could become multi-billion dollar companies • Only 20% of TAO is staked in subnets right now • Stakers are earning up to 80% yield on some subnets Mark has been in crypto since 2013. He was in the Ethereum ICO. He's seen every cycle. His take: Bittensor is the most important thing to happen in crypto since Ethereum. He calls TAO the "third great coin" alongside Bitcoin and ETH. The comparison to early Bitcoin is hard to ignore. TAO just had its first halving in December. Same 21 million supply cap. Same post-halving setup. When Bitcoin went through this phase, it jumped from $250 to $10,000. Mark's conservative target for TAO by end of 2026: $3,000. But the real insight was about demand. More subnets means more TAO gets locked up. Subnet cap going from 128 to 256. Staking will absorb most of the supply. And AI agents need crypto to transact. They can't open bank accounts. Bittensor is building the rails for that. Jensen Huang just talked about Templar, a Bittensor subnet, on stage. This isn't theoretical anymore. People are using this stuff. The products on Bittensor are 10 to 100x better than what we saw in early Ethereum. And we're still early.

Jesus Martinez

73,314 görüntüleme • 7 ay önce