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Training a frontier AI model cost $5M in 2020. Today it costs $1B+ The gap keeps compounding, in favour of the same five companies A decade ago, nobody believed open-source could compete with enterprise software. But then it did Bittensor (TAO) is a global open market where subnets compete to produce AI services, getting paid based on quality output This is what crypto is good at - coordinating users with shared incentives Over the past 12 months, significant progress has been made in the ecosystem; recurring fiat revenue, enterprise contracts, decentralized research and more In our TAO report, we: 1) Profile 5 subnets generating revenue across inference, computer vision, compliance, and drug discovery 2) Show how token incentive mechanics create advantages centralized companies cannot replicate 3) Breakdown catalysts and risk factors of subnets and Bittensor The link to the full report is in the next post below:

Bittensor's biggest subnet receives $52M a year in TAO emissions. It generates $2.4M in actual revenue. Without the subsidy, it would cost more than AWS.

Bittensor's biggest subnet receives $52M a year in TAO emissions. It generates $2.4M in actual revenue. Without the subsidy, it would cost more than AWS.

i’m either clicking buy here or should ignore crypto completely. i’d rather buy