Скачать или смотреть NeurIPS Reviewer Explains: Real AI Happens on Bittensor, Not in Papers

WanderingWeights, a PhD researcher and NeurIPS reviewer, explains how building inside the Bittensor ecosystem—especially with the Gradients subnet—completely shifted his perspective. Instead of the slow academic loop of theory and peer review, he highlights the raw speed, competition, and real-world validation that happens when miners and subnet developers push models live in a decentralized setting.

We cover:

How diffusion noise, vectors, and training incentives differ between academic AI and Bittensor

Why miners out-iterate academic papers by exploiting edge cases in the real world

Academic rigor vs. shipping working models fast

The culture shift from “researcher” to “engineer”

Gradients Subnet — how miners compete to produce the best tuned models across instruct, DPO, GRPO, and diffusion tasks

Why real value in AI comes from builders who ship, not papers that sit

If you’re into decentralized AI, subnet strategy, or the philosophy shift happening in machine learning—this one hits deep.

#Bittensor #AI #DecentralizedAI #Gradients #MachineLearning #TAO