This is the best summary I could come up with:

He wants to take on Microsoft and Google in the enterprise software market by making docs and email and other productivity tools like chat.

You’ll hear him describe how he thinks one of the big benefits of AI at work will be letting us all create something he calls a “digital twin” — essentially a deepfake avatar of yourself that can go to Zoom meetings on your behalf and even make decisions for you while you spend your time on more important things, like your family.

You read emails, send a chat message, make a phone call, have a whiteboard session, schedule something with external third parties.

I personally have the doubt: “Okay, maybe this underlying technology, the large language model, isn’t as stable a foundation to build the vision that you’re describing.” How do you overcome that?

Even as fast as model capabilities are increasing, I don’t know that hallucinations going down is a metric that anyone can see a Moore’s law-type approach to, where we know it will hit an acceptable point.

Suppose in our meeting client’s workplace six-star release, we have a very cool feature I play around [with], which is to leverage AI to generate the virtual background.

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