In this episode, Idan Gazit, Senior Director of Research at GitHub Next, discusses his role in exploring strategic technologies and incubating long bet projects. He explains how the GitHub Next team chooses research projects and the process of exploration and theme selection. Idan also shares insights into the ML focus at GitHub Next and the challenges of evaluating the impact of AI products. He reflects on his journey into the AI space and provides advice for testing AI products in smaller organizations. Finally, he shares his thoughts on the future of AI interfaces.
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Timestamps:
00:00 Introduction and Background
00:56 Choosing Research Projects at GitHub Next
06:09 ML Focus in GitHub Next
10:52 ML Work and the Leaky Abstraction
13:16 Idan's Journey into the AI Space
17:54 Evaluating the Impact of AI Products
24:36 Testing AI Products in Smaller Organizations
32:52 The Future of AI Interfaces
40:01 Transitioning from Prototype to Product
46:45 Challenges in the ML/AI Space
56:03 Recommendations
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➡️ Idan Gazit on Twitter – https://twitter.com/idangazit
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