The Ledger
Every statement that passed quotation and attribution checks. Mix any filter with any other: certainty 1/5, debate potential 5/5, or both at once.
why aren't all 11 resolved? a statement only gets an assessment when the public record can support or contradict it. opinions and what-ifs never can, and 0 checkable ones are still open, waiting for their date. predictions held up or didn't; assertions are supported or contradicted. on every card: ▮▮▮▮▮ certainty · ▮▮▮▮▮ debate potential. speakers are clickable
Lightcap: Current AI models are honestly not that good
“I think right now expectations are extremely high. Reality is still pretty bad, honestly. These models are not that good.”
Lightcap: AI expectations will dip before rapid model improvements outpace them
“I think very quickly expectations will start to come down as people come into contact with today's models, but then very quickly also these models will get really, really good, and you'll see this inversion of expectations reality where all of a sudden then ex…”
Lightcap: Enterprises criminally underrate the ROI of granting broad AI access
“I think people though criminally underrate how important it is actually and how much like return you really get on just giving people access to the technology. And that there's this kind of, because you can'queries quite quantify exactly how it works, but like…”
Lightcap: Many enterprises mistakenly assume GPT-4 is the peak of AI
“A lot of companies think it's static, so a lot of companies think GPT-IV is the best the models will ever get. That's understandable. Every technology they've ever had to adopt has been relatively static.”
Lightcap: AI model scaling laws have held predictably consistent for six years
“I think it's how consistently the scaling of models has worked. It still breaks my brain. Like I don't, maybe I've been, if we've, I've watched the same trend line for six years now, but I still find it incredible that you can make these models bigger and they…”
Brad Lightcap: 100x model improvement is the key test for startup defensibility
“Ask the company whether a hundred X improvement in the model is something they're excited about. It's actually, we can tell pretty well because we know the companies that come to us saying, we want the next model. When is it coming out? When is it coming out? …”
Lightcap: Company-changing ideas usually come from less experienced team members
“Really that, that, like, company changing ideas actually, by and large, come from places that are not, not those hires.”
Lightcap: 25 candidates rejected the OpenAI CFO position before he took it
“I asked probably 25 people if they would want to be CFO of OpenAI, which at the time was just a small kind of non, sleepy non-profit, and I went over 25, and honest to God, the reason I'm here is because I was so embarrassed to come back Like, over 25 that I s…”
Lightcap: Enterprise AI spending is now drawn from real corporate budgets
“Well, we have real budgets and that'll help.”
Lightcap: OpenAI was surprised by AI's rapid impact on creative industries
“It caught us somewhat by surprise how important the technology is and is going to be in creative industries, for example relative to more knowledge based industries or relative to even more industrial industries.”
Lightcap: OpenAI originally focused on robotics and gaming before pivoting entirely
“We were doing robotics really early on. And so I was preparing for a world where we were working with robotics companies and building robots and working with gaming companies and building agents. And we've gone completely the other way.”