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Big Technology Podcast

Mark Zuckerberg’s Personal Superintelligence, Layoffs and Payoffs, Writing With AI — With M.G. Siegler

Big Technology Podcast

Alex Kantrowitz

Management, Religion, Politics, Entrepreneurship, Business News, News, Investing, Marketing, News Commentary, Social Sciences, Science, Society & Culture, Religion & Spirituality, Business, Tech News, Philosophy, Government, Technology

4.7596 Ratings

🗓️ 4 August 2025

⏱️ 60 minutes

🧾️ Download transcript

Summary

M.G. Siegler is the author of Spyglass. He joins Big Technology podcast for the latest of our first Monday of the month discussion about Big Tech strategy and AI. Today we cover Mark Zuckerberg's vision for personal superintelligence and whether it's more of a recruiting play or a real difference in the way the company builds AI. We also cover the massive bets on AI and whether they'll ever pay off, how interlinked big tech is with AI, and whether you should outsource your writing to AI. --- Enjoying Big Technology Podcast? Please rate us five stars ⭐⭐⭐⭐⭐ in your podcast app of choice. Want a discount for Big Technology on Substack + Discord? Here’s 25% off for the first year: https://www.bigtechnology.com/subscribe?coupon=0843016b Questions? Feedback? Write to: bigtechnologypodcast@gmail.com Learn more about your ad choices. Visit megaphone.fm/adchoices

Transcript

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0:00.0

Mark Zuckerberg wants to build personal superintelligence, but does the term have meaning beyond marketing hype?

0:06.4

We're seeing $100 million payouts and lots of layoffs in big tech. How does that work?

0:11.6

Plus, should you use AI to write? That's coming up right after this.

0:15.7

Capital One's tech team isn't just talking about multi-agentic AI. They already deployed one. It's called

0:22.4

chat concierge, and it's simplifying car shopping. Using self-reflection and layered reasoning

0:28.6

with live API checks, it doesn't just help buyers find a car they love. It helps schedule a

0:35.2

test drive, get pre-approved for financing, and estimate trade and

0:39.5

value. Advanced, intuitive, and deployed. That's how they stack. That's technology at Capital One.

0:47.4

Welcome to Big Technology podcast, first Monday of the month edition where we talk about everything

0:52.2

happening in Big Tech and AI with the great

0:54.9

m g Siegler of spyglass you could find his writing at spyglass got org and we have so much to speak

1:00.7

with you about today including what super intelligence actually means whether people are actually

1:06.2

worth a hundred million dollars as big tech companies are laying folks off and of course whether you

1:11.7

should use artificial intelligence to write mj it's great to have you back on the show welcome

1:16.6

back thanks for having me Alex as always and yeah there is so much going on right now so i'm

1:21.4

excited to dive into it a bit definitely all right so we're going to discuss the definition of

1:26.7

super intelligence on this show or the lack of definition of super intelligence on this show.

1:32.1

I think the first way for us to get into that is just looking at this document that Mark Zuckerberg has laid out about personal super intelligence.

1:41.2

So I'll just start off.

1:42.7

He says over the last few months, we have begun to see

1:45.2

glimpses of our AI systems improving themselves. The improvement is slow for now, but undeniable.

1:52.1

Developing superintelligence is now in sight. Okay, so before we get into exactly what Mark Zuckerberg

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