The Ledger, every show

“I mean, I think there's a very high probability it is greater than that number in a shorter span of time.”

“I am literally out of a meeting like an hour ago, where the engineer described his impact as negative.”

“So I think that if the models get more powerful, We're probably going to see, we're probably going to see some kind of Westworld version of the world. We're going to go way beyond a chatbot.”

“I mean, we look, we were looking for compute last year and AWS wanted to charge us five times more for the same GPU than 10 different providers all around them.”

“I think we will make an unified model. I think it will, I think we'll certainly in the end ultimately make a unified model.”

“Maybe like probably like number two, I suspect, I guess at like text to art at the moment, just because we're training these models from scratch, we're getting, we're closing the gap really rapidly as rapidly as we can around all the various like kind of use c…”

“There are a lot of things posted on Twitter about how people are using language models, but the predominant use case continues to be homework.”

“So did all the people that you know, that were people that drew the two D cartoons, they lose their jobs. And, you know, that was the end of the end of an era. Definitely not people retooled the stories that came from them were still really material to their c…”

“I think that this thing is going to go away in the next year, this year.”

“My feeling is my bet to people, you know, sort of listening is that in a year we will think, you know, we'll think something like Sora was not even close.”

“GPT five is probably slated imminently this year.”

“I think ultimately if you believe that you could make it very high utility, the, probably the next customers will end up being B to B. It'll probably not be like consumer. Like there are, there will certainly be a variation of this idea that's in consumer. If …”

“I remember Robbie Walker during one of our one of one of our Tuesday dinners said that they had, they didn't even implement the save button for, like, their online PowerPoint because they knew that none of their users would ever ask, like, hey, can I save this…”

“One of the problems with NVIDIA was that they released their H 100, but they didn't really reduce its cost. You know, it is, it's two is, you know, 1.9 X faster, but two X costlier.”

“Yeah, I think there still will be, you know, local models and then there'll be these very large models that have to be run in data centers.”

“I think we were the first company to integrate it... I think we were the first company to actually ship a quick LCM thing.”

“One thing that I discovered was that people, a lot of your users will click on a pricing page link at the top. It's like second or third, like most clicked on link if you're a B to B company, I think, generally speaking.”

“Generally email and text confirmations have an enormous drop-off. Like, I'm talking, like, you get, of the hundred percent of the people that come, like, only 30% will, like, basically go on and, like, click on those email confirmations, or 40%.”

“LivingSocial literally had to pivot the entire company to basically competing with Groupon because the app wasn't very retentive in those days.”

“And then the other thing with video is like videos is just extraordinarily computationally expensive to do inference or even training on. And a lot of the video models first train, like pre-train with like a billion images first anyway, to like have a rich, Se…”

“Quality is the lowest it's ever going to be starting today.”

“One benefit of Playground is that we have users making millions of images every single day, and so we can just ask them.”

“10 years later, the company has about 300 employees. We've raised a bunch of money and we have about 7000 paying customers, and we're starting to close in on around a hundred million dollars in annual recurring revenue.”

“Was that, ah, we transformed from metrics that'll make you drool to actions speak louder than page views. And you'll notice it's, like, extremely prominent. The reason why was because the number one question that people, that we would get as a company was, tha…”

“We actually found that there was, like, a really, really strong correlation with daily use, And rate of churn, like, rate of, like, people, like, stop not no longer paying for the product, and it didn't take very many users. I think it was, like, one point, …”

“If you have revenue churn, and your revenue churn is, say, seven percent per month, right, you might think, awesome, I'm keeping 93% of these dollars every single month. This is awesome. I'm doing really, really, really well. The problem is, is it's seven p…”

“Going from like a visit to a signup, like I think like a four to five percent conversion rate is pretty good. I think I like swap notes with Stuart at Slack cause we kind of had similar landing pages. I think I asked him, you know, what was your conversion rat…”

“And Mixpell had a really hard time with that in its first 18 months. We had to change a lot of things and most people do.”