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Your Undivided Attention

Behind the DeepSeek Hype, AI is Learning to Reason

Your Undivided Attention

Center for Humane Technology

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4.81.5K Ratings

🗓️ 20 February 2025

⏱️ 32 minutes

🧾️ Download transcript

Summary

DeepSeek's breakthrough in AI sent markets reeling. But behind the headlines lies a crucial shift: AI that can actually reason and think. As labs race toward self-improving AI, the real question isn't how fast we can go, but how to steer this power for the benefit of us all.

Transcript

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0:00.0

Hey everyone, it's Aza. Welcome back to your undivided attention. So today we are going to be doing actually a bit of a special episode. It's going to be me here with our co-founder Randy Fernando, who was at Nvidia for seven years. And what we really want to do

0:22.3

is give you some insights into the latest set of AI models that came out. So these are

0:28.8

Open AIs 03, Deep Seaks R1, and actually they're following on Open AIs 01 from a little, a couple

0:36.3

months ago. And we want to talk about what makes them a big deal,

0:41.3

why we have switched into a new paradigm

0:44.1

and how these models get trained

0:45.5

and what's going on behind the scenes.

0:47.7

So first, Randy, thanks for joining me.

0:50.1

Glad to be here.

0:51.5

First place to start is, you know,

0:52.9

this new model from China, deep sea car one, it dropped.

0:56.1

And it ended up creating this frenzy in media.

1:00.0

It shook global markets.

1:02.9

The hype is quieted down.

1:04.3

And actually, you know, I think that the drop in global markets was very irrational.

1:09.8

But let's talk a little bit now about what makes this a key inflection point in AI tech.

1:17.6

I think there were several things, right?

1:20.4

And I'm not sure exactly which order to go, but I'll just name a few.

1:25.0

One was low-cost, high-performance reasoning. Like, it actually performed well and people

1:30.8

used it and that was really impressive. Now, there are some asteris about the cost because

1:38.0

the cost didn't account for the GPUs, the salaries.

1:42.0

Just to jump in, there's a widely reported number that between $5 to $6 million,

...

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