tensorcash:native aims to go beyond proof-of-useful-work by turning AI inference into both a market and a way to secure a blockchain....
@enrico_otta explains how @Tensorcash differs from other protocols by using the same proof of actual LLM inference to enable a decentralized AI inference market while powering the network's proof-of-work mechanism
Rather than proving an operation used to run AI, the protocol uses proof tied to the inference itself, combining two functions in one system
“TensorCash is kind of more of a superset of what a simple proof-of-useful work chain is doing.”
Today on MCG
$TSC | @Tensorcash w/ @samjavadi ,@enrico_otta
Tensor Cash is the verification and settlement layer for global AI inference
Highlights include:
00:58 – Introduction to Enrico and Samad
03:53 – AI compute is becoming a commodity
06:23 – Model substitution and quantization problem
07:36 – A commodity needs verification
08:53 – What Tensor Cash is
09:50 – L1 where proof of work is inference
11:03 – Bitcoin turned electricity into money
15:48 – Verification by replication
17:27 – Cheating caught: FP8 passed off as FP16
19:57 – Aims to be an open protocol
22:14 – InferenceFi: order book vs OpenRouter
23:57 – Equity in InferenceFi, contributors to Tensor Cash
26:47 – Live: frontier model mined, billed in USD
28:35 – Next: marketplace and flywheel
30:16 – Receipt for every inference
30:48 – How to mine
33:24 – Closing pitch vs overpriced IPOs
34:20 – Host takeaways
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