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 18 resolved? a statement only gets an assessment when the public record can support or contradict it. opinions and what-ifs never can, and 1 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
Agarwal: Prompt engineering will be automated by domain-specific bots
“My thinking is that even that will become a bot that will start to prompt based on the domain area that, that I am, that it's able to go and feed that information. So right now, obviously prompt engineering, because then you can get the answer the way that you…”
Agarwal: Humans hallucinate just like AI when answering without precise knowledge
“When we talk about hallucination, even human hallucinate, right? Hallucination is like, okay, you don't know the answer, but you try to like relate it to something else and try to go and answer something. And which simply means that, okay, it's not a precise a…”
Agarwal: AI is outperforming human workers across many law firm jobs
“We already see on the legal side that it's making quite a bit of an impact already. You can go and talk to the lawyers. They are already talking about, okay, there are so many jobs right now in the company that the machine is able to do much, much better job v…”
Agarwal: Humans will become copilots to autonomous enterprise machines
“The thing is that when machine has the data and if machine is able to do the work, can you let machine do it? And when machine doesn't know how to do that work, can it call the human to do the work? So in that sense, human can act like a copilot to machine.”
Agarwal: ChatGPT succeeded by giving pre-existing LLMs a consumer interface
“And chart GPT was nothing but a UI representation or UI interface through which that human could go and interact with the LLMs or GPT models. That's what it provided a mechanism because prior to that, that, okay, through the APIs and you, by writing the code a…”
Agarwal: Information retrieval jobs will be the first displaced by AI
“If you're not producing something yourself, and most of the time that, okay, a question is being asked to you, and you have to go and look up for that information, search for that information, or you read about that information. That's what you are going on an…”
Agarwal: Many sales development rep tasks can be automated by AI
“Even like the jobs that what in the sales development trip that they do, in fact, take the information and they just have to go and speak to the customers, like do a lot of dial and a lot of email and a lot of campaign and so on. Many of these things that can …”
Agarwal: AI regulation will create internal corporate compliance and ethics jobs
“The very first thing, like just the tons of regulations. That means that every company will require people. More regulators inside of ethical committee and compliance, and I mean, tons of jobs that will just right there will get created inside the company itse…”
Agarwal: AI brings an inversion of control where machines learn human language
“Inversion of control is previously for machine to be able to go and do the work. We had to go and write the, ah, language in which machine can understand it, which is like the programming languages that we had to go and write. That's the only way that machine …”
Agarwal: Gen Z Uses ChatGPT Over Google for Search
“Instead of going to Google to search for the information, they're searching on ChatGPT. They're just going and searching on the ChatGPT now, or asking the question and getting the more precise answer. And even for learning things that they're going more to thi…”
Agarwal: Most Enterprises Will Train Domain LLMs Over General Models
“So most enterprises that you will see that they will just do it that way. In many cases that you'll also see that especially for the enterprises again, that they will go and train the LLMs with the data set for their domains, with their data. Instead of just g…”
Agarwal: Indian tech satellite teams now build primary products over maintenance
“Every extension of the team or company that they were getting built here, they were doing maintenance work mostly. They are not building product. You'll see that the one dot of the product is built somewhere else. It's always like the, maybe enhancement, a sma…”
Agarwal: Indian engineers now choose technical tracks over management roles
“Previously people wanted to become manager very, very fast. So I have three years, five years of experience. Now I want to become manager, which was like the social pressure that the people had. And that also had changed dramatically. Now people wants to stay …”
Agarwal: Creating a billion developers requires AI-driven conversational interfaces
“When we say there are going to be a billion developers, let's say that's what Mr. Vinod Khosla is saying. And that simply means that how do you really go and create a billion developer? The only way that can happen is when you make the interface so simple, rig…”
Agarwal: Centralized conversational interfaces routing backend apps will arrive much sooner
“From the user perspective, they can just come and ask and it has to leave then transfer to the right app... You're right. That's like, okay, I can come to the Google. I can ask a question and it should just figure it out. Like, okay, which app and how to get t…”
Agarwal: Enterprises will adopt AI only within strictly bounded datasets
“What like every enterprise, the way that they're going to go and adopt the AI is like, okay, here is this, you just, I want you to just play within this boundary. Here is the information that I'm providing you. If you can get the answer, then answer it. If not…”
Agarwal: Nutanix hit $1.6B software revenue by 2020 departure
“In 2020, when both Dheeras and I, we left the company, it was at 1.6 billion dollar in software revenue.”
Agarwal: Nutanix spent $1B on sales to generate $1.6B revenue
“Nutanix itself, like, 1.6 billion dollar that we were bringing revenue. We were spending close to four hundred million dollars just in R&D product side. Hundred million dollar in customer support, close to a billion dollar in sales and marketing, let's say.”