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Interesting Conversations with Mislav Jurić

Interesting Conversations with Mislav Jurić #4 – Interview with Steve Omohundro

In this podcast episode, I have a conversation with Steve Omohundro. Steve is one of the first people to point out the potential dangers of advanced AI systems and in this podcast we discuss topics related to AI, mainly personal AI and AGI (Artificial General Intelligence). Hope you enjoy!

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Things mentioned in this podcast episode:

Timestamps:

  • 00:00:00 – 00:01:40 Introduction
  • 00:01:40 – 00:06:26 Steve’s experience with startups
  • 00:06:26 – 00:10:49 Personal AI
  • 00:10:49 – 00:12:28 Steve’s research company
  • 00:12:28 – 00:20:37 Combining symbolism and connectionism in AI
  • 00:20:37 – 00:25:22 Can GPT-3’s successors eventually build an accurate world model?
  • 00:25:22 – 00:30:27 Contributing to AI or AI safety research as an individual?
  • 00:30:27 – 00:34:28 Entrepreneurship opportunities for individuals in AI
  • 00:34:28 – 00:45:28 Personal AI capabilities
  • 00:45:28 – 00:49:14 The outcome of AGI
  • 00:49:14 – 00:56:26 The reasoning behind The Basic AI Drives
  • 00:56:26 – 01:00:01 Can we mathematically formalize emotions?
  • 01:00:01 – 01:03:42 Can we slow down AI progress?
  • 01:03:42 – 01:06:35 Next steps for AGI and personal AI
  • 01:06:35 – 01:10:39 Ideal educational background for AI researchers?
  • 01:10:39 – 01:13:05 How to approach learning math?
  • 01:13:05 – 01:14:21 Parting thoughts
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Interesting Conversations with Mislav Jurić

Interesting Conversations with Mislav Jurić #3 – Interview with Daniel J. Barrett

In this podcast episode, I have a conversation with Daniel J. Barrett. Daniel is currently working at Google, but he has previously worked in two startups and holds a PhD. We talk about his career path and the differences between industry, academia and startups.

Hope you enjoy!

Find it here:

Things mentioned in this podcast episode:

Timestamps:

  • 00:00 – 07:05 – Introduction
  • 07:05 – 12:54 – Why should someone go for a PhD?
  • 12:54 – 17:03 – What math topics are most useful for computer science?
  • 17:03 – 23:45 – What’s a typical day for a startup?
  • 23:45 – 28:59 – Startups vs academia – similarities and differences
  • 28:59 – 35:02 – Academia vs startups vs industry – which one has the biggest impact?
  • 35:02 – 38:07 – Academia vs startups vs industry – main features of each one
  • 38:07 – 41:20 – Can writing and music help with software engineering?
  • 41:20 – 44:55 – Parting thoughts
Categories
Interesting Conversations with Mislav Jurić

Interesting Conversations with Mislav Jurić #2 – Interview with Alexandr Honchar

In this podcast episode, I interview Alexandr Honchar, an AI consultant. We talk about AI consulting and about tech entrepreneurship.

Find it here:

Let me know what you thought!

Things mentioned in this podcast episode:

Timestamps:

  • 00:00:00 – 00:01:08 – Introduction
  • 00:01:08 – 00:04:52 – How does the day-to-day look like for an AI consultant?
  • 00:04:52 – 00:06:42 – Can you do AI consulting remotely?
  • 00:06:42 – 00:09:05 – Breath vs depth for AI consulting
  • 00:09:05 – 00:12:15 – Transitioning from software engineering into an AI/ML-related role
  • 00:12:15 – 00:14:58 – Data scientist vs data engineer vs machine learning engineer
  • 00:14:58 – 00:18:35 – Is math or programming easier to catch up on?
  • 00:18:35 – 00:23:13 – What resources did Alexandr used to get on top of the field of AI?
  • 00:23:13 – 00:25:59 – What resources does Alexandr use to stay abreast of the new developments in the field of AI?
  • 00:25:59 – 00:33:15 – Startups vs consulting – risk to reward ratio
  • 00:33:15 – 00:36:16 – Motivation for entrepreneurship – interest vs money
  • 00:36:16 – 00:40:35 – What technical and non-technical skills do you need as a consultant and entrepreneur?
  • 00:40:35 – 00:43:09 – Parting thoughts