Crypto got kinda hypnotized by giant AI models over the last 2 years.

Every convo turned into

more parameters

more H100s

bigger raises

who trained on more of the internet without asking lol

and yeah okay, scaling worked. hard to deny that when Nvidia went from chip company to geopolitical asset class.

but I keep thinking most actual businesses do not need some all knowing machine that can roleplay as a therapist, lawyer, anime girl, quant trader and your ex at the same time.

they need narrow models that are stupidly good at one thing.

medical imaging.

legal review.

supply chain forecasting.

whatever.

I remember when everyone said oracles were boring infra in 2021 and then suddenly every serious app depended on them. feels kinda similar here maybe. maybe not. still figuring that out.

That’s partly why OpenLedger caught my attention.

Not because of the usual AI x crypto buzzword soup. Most of that stuff still feels like agents talking to other agents so VCs can pretend there’s activity onchain.

The attribution part is what got me.

Right now the whole system is weird if you think about it for more than 10 seconds. Millions of people generate the data. Centralized labs vacuum it up. Model gets better. End users pay subscriptions. Contributors get absolutely nothing.

OpenLedger’s whole Proof of Attribution thing is basically trying to track which data actually improved a model and tie rewards back to it.

And honestly I don’t fully understand how accurate that attribution can really get at scale once models become massive mixtures of synthetic human generated data. That part still feels fuzzy to me.

But at least they’re attacking a real problem instead of pretending another chatbot wrapper is a revolution.

Feels way more grounded than half the AI coins trading at 400m FDV off a landing page and three generated demo videos.

@OpenLedger $OPEN

#OpenLedger