Start focused. Prove the speed. Scale the usage. That’s it.

Instant Inference (gpu/acc)@thinkinstant

Start focused. Prove the speed. Scale the usage. That’s it. We’re building accelerated inference with verification that doesn’t require a TEE. Once validated in production, we will embed Instant into the apps people already use as well as our own. ⚡️🧠

Quoting @sebyrubino

You can disagree, but the product builders I respect keep coming to the same conclusion: In-app ads will fund a large share of AI inference. For @thinkinstant, the path is clear. Phase one: serve 1–2 models with a clear advantage in inference speed and performance. Phase two: bring that inference into products people already use, while building our own application. Better products earn distribution. Give users a better experience, faster, at a lower cost, and you give them a reason to switch. Here’s what excites me most. We can build revenue beyond the inference API. Applications built on our subnet can direct 100% of their revenue to buybacks and burns, helping us scale burns beyond miner emissions. The goal is a deflationary alpha token: more tokens burned than emitted. We see two paths: sell premium inference at 2.5x what we pay miners, or build additional revenue streams on top of the subnet to fund a total of 2.5x miner burns. Inference can cover miners while our additio

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