Dwarkesh Kheterpal

Going back to the AI conversation, you're mentioning how big of a bottleneck the physical infrastructure can be.

Related to other open source models like DeepSeq and so forth, DeepSeq right now has less compute than a lab like Meta, and you could argue that it's competitive with the Lama models.

If China is better at physical infrastructure, industrial scale-ups, getting more power and more data centers online, how worried are you that they might beat us here?

Premium products attract a ton of fake account signups, bot traffic, and free tier reviews.

And AI is so good now that it's basically useless to just have a captcha of six squiggly numbers on your signup page.

Take Cursor.

People were going to insane lengths to take advantage of Cursor's free credits, creating and deleting thousands of accounts, sharing logins, even coordinating through Reddit.

And all this was costing Cursor a ton of money in terms of inference compute and LLM API calls.

Then they plugged in WorkOS Radar.

Radar distinguishes humans from bots.

It looks at over 80 different signals from your IP address to your browser to even the fonts installed on your computer to ensure that only real users can get through.

Radar currently runs millions of checks per week.

And when you plug Radar into your own product, you immediately benefit from the millions of training examples that Radar has already seen through other top companies.

Previously, building this level of advanced protection in-house was only possible for huge companies.

But now with WorkOS Radar, advanced security is just an API call away.

Learn more at WorkOS.com slash Radar.

All right, back to Zach.

So Sam Altman recently tweeted that OpenAI is going to release an open source SODA reasoning model.

I think part of the tweet was that we will not do anything silly, like say that you can only use it if you have less than 700 million users.

DeepSeq has the MIT license, whereas LAMA, I think a couple of the contingencies in the LAMA license require you to say built with LAMA on applications using it, or any model that you train using LAMA has to begin with the word LAMA.