The Problem With AI Bias

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NoMEC is an open source system of large language models that you can run locally on your MacBook. We also just released a large sort of acceleration of the ability that models run faster on your computer. And we're building this ground up data storage engine for at bedding called Atlas, which allows you to visualize your embeddings.

In this episode, we discuss the impact of AI with Andriy Mulyar, co-founder of AtlasAI and creator of GPT4All. We explore how running local private language models can provide competitive benefits over using public models like ChatGPT without confidential data. Additionally, we delve into the importance of embeddings in AI and their potential impact on understanding data semantically. Finally, Andriy shares his thoughts on crypto/AI overlap, specifically focusing on data provenance as a key area for collaboration.

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