The Ledger, every show

“Look, I think the biggest one is just the view that synthetic data will take over, and you just will not need human feedback.”

“You've seen Gartner saying 40% of enterprise projects will likely be canceled by 2027, and I think the reason for that is externally driven builds are two X as effective as internal team builds.”

“I think that whole process is in the first inning in the enterprise. I think it's going to take a decade, not two years.”

“Salesforce AI research released this report that if you take if you test a lot of the out of the box agents on single-term and multi-term workflows, they're about 58% accurate on single-term and 33% accurate on multi-term workflows, which means they don't real…”

“That is my view on where, where this whole industry goes, is you move from SaaS, out-of-the-box SaaS, to much more hyper-personalization using the specific data of an individual customer”

“If you're building something where the hardest part is getting adoption and workflow embedding, and you need to actually change the way a company works, then yes, forward deployed engineers are the only way to do it.”

“For a multi-stage reasoning test that requires a PhD in multi-different languages, and, like, human feedback is going to be important in that for the next decade.”

“I think an enterprise uptake depends on trust and precision on specific tasks at 99% accuracy, not generalizability.”

“There was actually a report AWS came out with today, it's interesting, that like, 70% of agents are actually not even, ah, AI agents, as you think of it. Like, most of the agent, agentic processes today are actually traditional script writing and just traditio…”

“MIT just released this report that five percent of Gen AI deployments are working in any form.”

“In the AI world, at least, strategy is a somewhat overrated concept, and what I mean by that is...”

“I was talking to an e-commerce retailer that had built an agent to handle their returns process. And they spent twenty-five million bucks building this agent. And at the end of it... What ended up happening was a couple months later they shut it down and moved…”

“One misconception is that that, that leader has to be highly technical to make that decision, and I would actually argue they don't at all.”

“Figure out the list of three to four things that move the needle for your business. Focus on those three to four. Don't spend money on a thousand science projects. Take your best four operational leaders and put them on those four things. Don't locate it in th…”

“I think you could kind of argue that out of the box software has always been a lie to some degree. Ah, it's a weird thing to say, but they always had a ton of configuration and they just dressed it up to some degree.”

“I actually find a lot of the people coming out of college right now are some of the highest adopters of this and the most useful for these kind of tools, and so we're hiring more and more people of that profile, not less.”

“I think I call out Palantir because I think they realized 10 years before the rest of the kind of tech market that forward-deployed engineering and customization would be important, and I think that was a very countercultural leap at the time. You know, I, cau…”

“I think it is revenue. I think that your, the rate you get on every project is different. The margin you make on every project is different. So I do think it is revenue”

“And so the only way to actually do the fine-tuning process consistently And to get it accurate for any specific context is RLHF.”

“We've now, we initially announced a hundred, actually right now raised a hundred and thirty million, and so I'm investing very heavily in technology, so we will not be profitable this year, no.”

“I think robotics is another one that will take longer, but will be really interesting when it works. But by the way, I think even in that case, you'll need more task specific robotics, not just broad based.”

“The average bank spends 93% of its cost, of its tech cost, on maintain initiatives. Seven percent go into building new things.”

“When you recruit a great person, I don't think about role most of the time. Meaning I think people are very role focused of like, I will hire this person and they will only do oil and gas as an example, right? But the reality is like really good people will ru…”

“Five-year strategic planning is not a useful exercise right now.”

“Look, I think their tech is great. And I think that it's interesting in a lot of ways, the most useful foundation for AI is really good Databricks infrastructure.”

“Some of the most interesting new businesses are actual businesses using AI in the physical world that are AI native and that will be highly disruptive.”

“If you look at Y Combinator's recent class, I think it's like the largest, it's two X the revenue of any prior class.”

“I think over the next two years you're going to see the CFO function put different guardrails on how this stuff is built and say, what is the ROI?”

“So what's happening now is we're starting to realize that the Gen AI adoption paradigm in the enterprise works the same way that ML does.”

“I actually think AI training will be used next in banking and healthcare, and then after that in, in many other different enterprise contexts.”

“We worked with SAIC, Vantor, and the US Navy on fine tuning a model for underwater drone swarms”

“We we're serving one of the largest agricultural conglomerates in the US on herd safety. So actually like monitoring risk factors. When should you send a vet for their herd of cows basically? And that whole process relies us on us actually sending forward depl…”

“And so I think physical world interaction patterns are the, some of the most interesting growth vectors for this. But they do take time and money to invest in. Robotics being another big part of that.”

“70% of the software in America is over 20 years old.”

“In the last two years, you've seen public software multiples go from 20 X to 10 X, partly because of growth changes, and partly because they've tried, as they move profitable, their growth slows materially”

“Johns Hopkins has released this thing, this stat that 25, 2250 thousand deaths a year happen because of avoidable errors.”

“When I started, we had about a hundred engineers total in firm. By the time I left, we had 7000.”

“If you look at all the public benchmarks, models have increased 40 to 60% in performance over the last two years.”

“KBMG had this report that 60% of consumers use this on a weekly basis”

“Historically Invisible had only raised seven million of primary capital in its entire nine-year journey.”

“We spend 14,000 14,000 per capita per year on patients in the U.S. So that, that's like a rough spend. That's two to three, two and a half to three, like Germany and Canada spent as an example.”