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Andre Mulyar is the co-founder of Novik, a company that makes tools to make AI more accessible. He spoke with us about running large language models locally on your own laptop and training them using your data. Andre believes embeddings will be an important way for computers to understand data semantically. And he thinks people should have control over their data when it's being used in algorithms.

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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