And we've trained it on a corpus of 2,000,000,000,000 words from the Google search index. This thing is so large, it takes it twelve hours to translate a sentence. So the way the DARPA challenge worked in this case was you got a set of sentences on Monday, and then you had to submit your machine translation of those set of sentences by Friday.

And we've trained it on a corpus of 2,000,000,000,000 words from the Google search index.

20:48 / 21:21

And we've trained it on a corpus of 2,000,000,000,000 words from the Google search index. This thing is so large, it takes it twelve hours to translate a sentence. So the way the DARPA challenge worked in this case was you got a set of sentences on Monday, and then you had to submit your machine translation of those set of sentences by Friday. Plenty of time for the servers to run. Yeah. They were like, okay. So we have whatever number of hours it is from Monday to Friday. Let's use as much compute as we can to translate these couple sentences.

Why this clip

The absurd scale (2 trillion words, 12 hours per sentence) creates a vivid contrast with today's instant AI responses. The DARPA context adds credibility and the numbers are mind-boggling.

20:48 - 21:2133sDomain Expertise

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What they said next

So throughout twenty twenty one, twenty twenty two, Google's working on the Lambda model and then the chat interface to it. In May 2022, they do release something that is available to the public called AI test kitchen, which is a AI product test area where people can play around with Google's internal AI products, including the Lambda chat interface. And all fairness predates ChatGPT.

2:30:44 - 16s · Business Mechanics

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