In 2015, there was this like ravaging, I think journal, it was either journal article or some like op-ed by a very common person and basically said that within 10 years, the radiology profession is going to be done. This is not something AI and this is like sort of the frame that I always put it in. Individuals who go and use AI will still keep their jobs. It's crazy to have a good response though to the view that AI will destroy the millions of jobs that are like call centers or accounting or jobs that could become highly automated in an easy way.
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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Disclosures: This podcast is strictly informational and educational and is not investment advice or a solicitation to buy or sell any tokens or securities or to make any financial decisions. Do not trade or invest in any project, tokens, or securities based upon this podcast episode. The host and members at Delphi Ventures may personally own tokens or art that are mentioned on the podcast. Our current show features paid sponsorships which may be featured at the start, middle, and/or the end of the episode. These sponsorships are for informational purposes only and are not a solicitation to use any product, service or token. Delphi’s transparency page can be viewed here.