Customer-funded demand can make decentralized AI compute tokens more valuable; usage alone can hide weak economics. Chutes reported revenue per million tokens up 37.7% and per GPU up 44.9% after cutting free and loss-making traffic, though its gains do not automatically lift TAO. Render's approved Salad roadmap could route payments and rewards through RENDER; integration and recurring customer-funded burns still need proof. Messari reported Akash leases up 27.1% despite revenue falling 45%. … Show more

TAO looks undervalued at about $3B while frontier AI labs are worth a trillion, because Bittensor subnets can already give AI power users frontier-like quality at lower prices. Subnets cover models (engy, Chutes, saygm), storage and databases (Hippius), GPUs (Targon, Lium) and search (Desearch). x.com 

Bittensor's arbitrary reward functions make its design far more complex than Pearl's MatMul focus, and that complexity works against TAO. Bittensor might still work if it got the design right; if not, repeated revisions may never reach a working end state. Pearl could get there faster and, if correct, get much bigger, though it too may fail. If, as Sebtensor says, TAO is an AI economy rather than AI money, Ethereum's struggle to accrue value to ETH is a further bearish warning. x.com  x.com  x.com 

Render looks like one of the strongest AI infrastructure plays, as accelerating demand for AI compute makes decentralized GPU networks harder to ignore. If AI stays the dominant narrative, the Render Network could have much more room to run, and the chart is starting to wake up. x.com 

Bittensor's TAO is the Bitcoin of AI, a decentralized AI marketplace with a 21 million maximum supply. History doesn't repeat, but it rhymes. x.com 

TAO could surprise to the upside in the short term on the strong AI narrative, but there is no reason to believe in it long term. x.com 

Bittensor's subnet economy could lift TAO via Alpha-token demand, but a major rally needs paying AI customers, not emission farming. About 64.2% of circulating TAO was staked as of Oct 7. At ~$3.24B, TAO is no cheap microcap. Still constructive long term, but stronger conviction needs verifiable revenue, demand above issuance, competitive AI products and institutional access. AI sentiment and crypto liquidity must also recover; Grayscale trust filings alone do not guarantee inflows. x.com 

GPU DePIN's inference opportunity is far more interesting, but its moat now depends on reliable routing and repeat paying customers rather than incentivized GPU supply. Render Network logged $539K in paid jobs and $512K in RENDER burns over 30 days, though not all jobs were inference and emissions continue. Bittensor subnet rewards do not prove customer demand either. Real utilization, retention, healthy margins and revenue without emissions will show who can sustain the business. x.com  x.com  … Show more

Bittensor's TAO suffers because the network lets subnets like SN95 extract millions in emissions without delivering. SN95 has made promises for over a year, shown no functional product or code, keeps pushing deadlines, barely communicates and raised money on the side. Its owner not selling, as @0xSunRun notes, doesn't change that: emission-inflated prices let others sell into the pool, and if the subnet is deregistered, the TAO is paid out and leaves the chain. x.com  x.com  x.com  x.com  x.com  … Show more

Bittensor is the top crypto pick, the Bitcoin of AI, with 100x potential. Its proof of useful work evolves Bitcoin's proof of work: per a piece shared by @wallstreetbets, Bitcoin miners earned $17.2 billion in 2025 burning Poland-scale power to produce nothing beyond securing transactions, while Bittensor's computation produces intelligence. That true utility gives it rare appeal to Bitcoin veterans. x.com  x.com