Incentive Mechanisms from today 🧵

Babelbit (59): Miners train text-to-speech models, post to Huggingface, and validators sample them on Targon serverless. Winner-takes-all (or pareto optimal score) across a set of performance scores 1) TTS speed, 2) Accuracy and 3) Tone -- basically attacking Eleven Labs on core metrics. This will work really well on Bittensor.

Bitrecs (122): Prompt evolution for online shop recommendation. Using the IM to evolve prompts rather than models or agents. Very nice, well constrained IM domain, miners can't overfit, and with query temperatures fixed they can do copy resistance very easily (no variance on evaluation) Going to use Chutes for cheap inference, good idea. Should see them be SOTA in shop recommendations if done right. Also first ever prompt evolution strategy on Bittensor.

Autopia (36): GPT-Operator incentive mechanism. Forcing miners to build self contained web agents, hosted OSS on github. Agents will be evaluated on their ability to solve web tasks. Think: "Ridges for operator agents", parse html, make decisions, know how to query the right models. OG, first subnet in this domain and have already mastered the synthetic pipeline for websites (this is the crux of the mechanism). Launching the new IM will exponentiate speed to SOTA. Can't wait to breed the best in class Operators on Bittensor.