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INTRODUCTION The development of advanced AI models has become increasingly centralized , requiring massive computational resources that only large corporations can afford.
This concentration of power threatens innovation and limits who can contribute to AI progress, nearly guaranteeing that the systems built adhere to a closed entity's vision for "alignment."
Meanwhile, enormous amounts of computing power sit idle or underutilized worldwide.
Psyche changes how we develop AI by creating a decentralized infrastructure that allows anyone to participate in training large language models.
Rather than requiring massive infrastructure with thousands of accelerators in a single location, Psyche coordinates training across distributed, heterogeneous hardware worldwide.
The abundance of underutilized hardware, which grows daily, provides an opportunity to train and use LLMs without high investment costs.
The development roadmap consists of two main stages → …