This week I received Paige Bailey, Lead product manager at Google DeepMind and previously working at Microsoft GitHub building Copilot. In this episode, we discussed the democratization of AI, advancements in AI-assisted coding, and the ethics of innovation. Discover how AI is subtly reshaping our everyday experiences and the realm of software engineering.

Follow Paige Bailey on all platforms, https://twitter.com/DynamicWebPaige

Timestamps:

01:27 Introduction of Paige Bailey

03:29 External coding assistants vs In-built copilots of IDEs

08:10 Problem:  Beginners using ChatGPT without a core understanding of the subject

15:08 Solving hallucination (At least trying!)

19:29 Does size matters for models?

22:12 Making small products competent for big products (SAFELY!)

26:57 Paige's role as a Product manager in DeepMind

29:46 Paige shares what it's like to work in a constantly innovating space as a product manager.

33:36 When should you establish an AI research team in your startup?

35:45 Using GPT-4 to finetune your smaller models for commercial use isn't allowed (But it's good tho!)

37:48 Paige's suggestions for Model Fine-tuning

41:42 AI will not increase the gap b/w rich and poor (Hopefully!)

44:33 AI's effects on job roles and eligibility requirements

48:56 Master's or PhD degree may not be as relevant in the AI age

51:19 Paige's advice for AI newcomers

54:31 Is having theoretical knowledge of the technology behind models relevant?

56:13 Paige's tips for good team communication

59:20 Communication tips for job-seeking newcomers

01:01:15 Paige shares the kind of features she wants in the AI

01:03:11 Paige suggests skills for beginners who want to enter MLOps.