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Natural language processing is starting to get much more capable. Looking at the demos that they showed with Lambda, for example, and the stuff that's coming out of OpenAI with GPT three. Not just being able to speak to a computer, but have a conversation with a computer and creating a summary that an average normal human being could understand.

Steve Brown on Notion Capital — The Pain of Scale · GTM14 - Preparing for the Future, with Steve Brown,...

“Natural language processing is starting to get much more capable.”

27:31 / 28:05

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Natural language processing is starting to get much more capable. If you saw Google IO recently, I know this is going out in August so it's not that recently. But, you know, looking at the demos that they showed with Lambda, for example, and the stuff that's coming out of OpenAI with GPT three, Not just being able to speak to a computer, but have a conversation with a computer and have language models that allow us to start doing things like summarizing a complex technical research paper and creating a summary that an average normal human being could understand.

Why this clip

Provides specific examples (Lambda, GPT-3) of AI capabilities that are immediately relevant. The progression from 'speak to' to 'conversation with' computers is a clear, compelling narrative about AI advancement.

27:31 - 28:0534sDomain Expertise

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What I fully expect is gonna happen is as companies start to demand that their employees come back to work, you're going to see a ton of turnover. It could be up to 30% of people who if they're forced to go back into the office are going to wave their middle finger and go find a job somewhere else.

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People are finding that they're pretty productive when they're at home and they like that flexibility. And I think we're moving from a world of work life balance to a world of work life fusion, where the two just merge and blend together in a way that works best for the employee.

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The things I'm keeping my eye on, generative design, using AI to enhance creative talents capabilities, whether they're an engineer, an architect. We'll probably expand into a category we maybe could imagine calling collaborative AI, which is AI that's designed to support us in our jobs.

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Transcript

Why this clip

More from this episode

What I fully expect is gonna happen is as companies start to demand that their employees come back to work, you're going to see a ton of turnover. It could be up to 30% of people who if they're forced to go back into the office are going to wave their middle finger and go find a job somewhere else.

People are finding that they're pretty productive when they're at home and they like that flexibility. And I think we're moving from a world of work life balance to a world of work life fusion, where the two just merge and blend together in a way that works best for the employee.

The things I'm keeping my eye on, generative design, using AI to enhance creative talents capabilities, whether they're an engineer, an architect. We'll probably expand into a category we maybe could imagine calling collaborative AI, which is AI that's designed to support us in our jobs.

As we're getting down to the three nanometer space, that becomes pretty viable to start putting thinking about computing as an ingredient you can stir into everything. We've seen some failures with smart city efforts, but that doesn't mean that it's the wrong direction.

From the blog