In this episode, Brian sits down with Martin Goodson, CEO and Chief Scientist of Evolution AI, to discuss his journey into the field of data science and AI, the evolution of AI methodologies, and the future challenges and opportunities. 

Martin shares insights into his childhood fascination with AI, his professional path, and the development of machine learning technologies at Evolution AI. The discussion also delves into the limitations of LLMs, the impact of hallucinations in AI, and the critical importance of handling errors and maintaining high accuracy, especially in financial applications. 

The conversation concludes with thoughts on the future of AI, the need for better-trained professionals, and how technology might transform business processes in the coming years.

Time Stamps:

• *(01:12) How Martin Got Here
• *(05:02) ML and Proto-organisms
• *(08:43) LLMs and How Animals Learn
• *(12:30) Not-so-conventional Neural Networks
• *(16:09) Making Models "Happy"
• *(21:56) Adapting to the Next New Thing
• *(25:11) No Errors, Ever?
• *(30:18) Hallucinations and Confidence Scores
• *(38:00) Resolution Issues
• *(45:30) If you had a magic wand…
• *(51:41) The Post-Fix

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Solving for Tomorrow is sponsored by Geisel Software. We help you create products that seamlessly automate the physical and virtual worlds using robotics, machine learning, and so much more. Find out more at geisel.software.

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Links:

Follow Martin on LinkedIn

Evolution AI

Follow Brian Geisel on LinkedIn

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