Zack Kass

speaker

2,920 appearances 4 recordings 4 series first heard Jan 2026 last heard 5 Jul

Zack Kass’s voice in public audio — every appearance, attributed to the second.

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recordings per month · last 12 months

Recordings per month over the last 12 months — 4 in all, peaking in Jan 2026 with 2.

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Sonia and Simon · Why The AI Revolution Is The Greatest Opportunity In Human History | Zack Kass · 5 Jul 2026 podcast

So this ultimately, I think, is the great tension that people are starting to experience.

And I do think we're going to see this actual sort of regression back to companies that are rewarded for saying things that are actually kind of unpopular to the public market, that are willing to commit to things because they are successful.

attached to a much sort of higher calling and win accordingly, win on a basis of trust and win on a basis of brand perception.

I can.

I think about it fondly often.

I was pretty sure that this technology was going to matter.

And at the time, it was all statistical machine learning.

The models were very expensive and they were not very good.

And the best thing that you could hope for was a personalization engine or a slightly better search engine.

And then in 2017, eight Google researchers wrote this very important paper that I actually talk a lot about because I think it's important for people to know the history.

And they proposed that we were building models all wrong.

That instead of building statistical machine learning models, which think in straight lines, basically millions of if this, then that rules.

Turn left, then turn right.

And eventually you build this like pretty smart looking thing, but it's actually just a set of rules, hard coded almost.

That we should instead build models that think in parallel.

And the parallelization of information is basically born from the human brain.

It's a neural network.

So actually, you don't have to think in straight lines.

You can constantly build new relationships, neurons effectively, between pieces of information.

And that paper, which came out in 2017, was sort of the defining moment in modern AI.

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