Topic
6 facts from 4 episodes, in date order. These are what speakers said on the shows, each linked to the moment it was said. They aren't independently verified.
2023
Ethan Mollick says the models went from D-minus to B-minus performance with ChatGPT, and an A-minus level with an internet-connected model like Bing.
“Suddenly, they became B minus students in classes, and now, if you use a even more advanced model like Bing that's connected to the internet, now they're A minus students.”
2023
Ethan Mollick gives the example of using Bing AI to learn Porter's five-forces framework and research the precision agriculture industry, saving about twelve hours of work.
“you could tell it to learn how to do a Porter's five-forces analysis and then look up everything about the precision agriculture industry”
Undated
Calacanis says Microsoft's Bing was an early sponsor of his podcast, buying ads at $3,000 each in packs of ten.
“I was like, $3,000. And like, okay, per ad. I was like, yeah, but you have to buy 10.”
Undated
Perplexity initially used Bing as its search engine and OpenAI models to quickly build its first product.
“we initially used Bing, uh, as a as a search engine, and then uh, also obviously open aI models kind of like, uh, hacked quickly something.”
Undated
Walter Sun started Bing Predicts at Microsoft, a product that used big data for predictive analytics.
“I actually started a new product called Bing Predicts, which was to use big data to do predictive analytics”
Undated
Walter Sun says Bing Predicts used aggregated, anonymized web search traffic to predict political affiliations.
“We're actually predicting political affiliations based off of aggregated and anonymized web search traffic.”
Episodes