The Ledger, every show

“I do think these you know, models of OpenAI, Anthropic, Google have definitely gotten to the point where they are within a sort of hair's breadth of each other, ultimately. Yes, there are the, in domain A, one model might be better, in domain B, the other mode…”

“Now, when you're doing this kind of end-to-end thing, you are less likely to get disrupted. In fact, if you know, if anything, if the if the cloud models or codex or even Gemini models or any of these other models get a lot better at coding, these people only …”

“The number one thing before you know, you get into defensibilities, make sure that whatever it is you're building is is was impossible to build four years ago. Make sure, you know, it is a 10 X or a hundred X better than the status quo. Make sure that it has a…”

“There are so many companies now where software engineers have not had to write a single line of code in say more than six months, which is I mean, quite unprecedented, right?”

“Definitely. This is not the case with the law and a number of other law or taxes and a number of other things, but it's only a matter of time. I think the models will get there in the next probably year or two.”

“One prediction on way on which I, I'm just, I turned out to be wrong was I would have expected this kind of productivity gains to come all the way on the stack along the stack. Like I would have expected that, for example, the number of let's say good venture …”

“Yes, while this has done a lot to the execution part, it does not really seem to have speeded up the innovation and the invention part, because theoretically, imagine you speed up everything, then who cares? There are 10 times the number of venture-funded star…”

“There is also, I think, limits to how much value can be added there because ultimately there is just not too much new information. If you're telling the model itself to kind of generate, yeah, There is a, I mean, there's all sorts of things about how beyond th…”

“Where people are suddenly able to produce many tens of thousands of lines of code. Nobody has time to review. Nobody has this one. At best, people can do a sanity check and move on. I guarantee it is going to create a lot of security holes and various other so…”

“Having having the need for a meaningful services component does, for example I mean, it serves a useful purpose also today, right? Like in a manner which might not have been valued as much a few years ago, which is that It absolutely gives you a certain moat a…”

“I, even a couple of years ago, I always thought certain categories of startups, which were doing some almost like a bandaid on what is today's a hole in today's model is really not going to survive because the next version doesn't need that bandaid basically. …”

“This became pretty much like a must have. It sort of became like if you're running a model company without this component, it's like, you know trying to enter a race track with three tires instead of four basically.”

“The one thing I think that makes this business a bit of a moving target is that the models do learn pretty rapidly. Like if you are offering a certain type of this thing a certain kind of a collaboration to labs with a certain, let's say, type of talent and a …”

“Coding in general has nice spillover effects in terms of improving reasoning capabilities of models as a whole. Whereas you know, let us say the model companies prioritized something like the models getting better at medicine. I'm not too sure if that would he…”

“If the human can do at least one thing better than the model, yes, they are going to add value. That is where the costs will go. If all the other costs will go to zero, this will become, you know at least as far as micro economics goes the this is where the ye…”

“A big chunk of maybe more over half the you know software engineers in the world operate at a relatively narrow task scope.”

“While they were definitely data annotation companies that had relatively more scale low skill labelers. Yes, which is what a lot of the traditional machine learning pipelines needed. The what these LLMs and the modern foundation models needed was just somethin…”

“The, this method is the one, I think, which has a lot of legs in the, particularly the more you can operate in this particular paradigm of prompt and then these rule or rubric based verifier tuples. The, that is a very nice way for sort of creating synthetic d…”

“Generally speaking, there's less of a room for simpler tasks. The more you're doing expert level tasks the more room might be there. The more you are into some you get closer and closer to these long horizon tasks. The kind of thing that would take a human one…”

“If it's an application startup, I don't think you even need an ML researcher to begin with, right? And even an ML researcher will get frustrated.”

“If you're incremental of what is already there and you have an FD model and, you know, bad cost structure, you literally have the worst of all worlds basically.”

“And very often we do find that the right kind of agentic products built on top of existing models is the right high ROI decision for most enterprises.”

“This whole thing started when yeah, when we started helping OpenAI you know, A little over about four years ago, like, since from early 20, 20 to long before chat GPT launched and the that is how we got started in this particular area.”

“At least at the time Transformers came out, BERT came out and all that, nobody really thought this was a this was a path to emergent reasoning capabilities, a path to AGI itself.”

“I do think for example access to legal services is incredibly expensive in the U S and I'm sure this thing will play out in terms of increased demand, et cetera.”

“So they will definitely have to have to get substantially reinvented, right? Like today, very much the models in these companies have been entirely about this entirely head count related that is yeah, that model is definitely going to get a lot come under seve…”

“Palantir is a, I feel a beautiful example. Of one where they have built so much of this deep verticalized stuff that model advances have only made them a lot stronger and stronger.”