The Ledger, every show

“I think there are dozens of companies that are poised to eat Salesforce's lunch. But those companies, despite the distribution disadvantage, are positioning themselves to do so.”

“Our belief is that the most successful AI startups of the future will be those that are able to build a moat by building a unique context graph.”

“Existing systems of record are not the natural owners of the context graph, and so they will capture a declining share of the value that's created by technology.”

“So I think there will be the trillion dollar plus opportunity will get captured by a hundred plus winners in context graphs.”

“I believe that four years from now, The winners and losers on the SNP or the Nifty in India, the winners and losers will be separated by their ability to embrace context graphs.”

“First and foremost, every organization will have multiple Context Graphs. There is no one world model or one world context graph in any organization.”

“And every global 2000 company will build many context graphs in house.”

“There is an intermediate abstraction Which we call context graphs, which is the accumulation of decision traces. And this incumulated abstraction, in our opinion, will be the one that will matter the most over the next decade. It's the enduring layer for the m…”

“Two, I think the enabling infrastructure stack for context graphs would be well-defined. And there will be variations and flavors, but, you know, I totally anticipate that this time next year we'll be writing, okay, here's, here's the way, here's the best prac…”

“In a world where the cost of the activity comes to close to zero, because an agent is doing the activity, the infrastructure to enable the activity will all have to change. So I think that's what's underway today. And that is going to cause us to reinvent the …”

“I anticipate that over the next five years, we will see the same level of progress that we saw over a decade in the internet.”

“I also think that open source has demonstrated that while it can't compete with the SOTA models, it's only six to 12 months away.”

“You know, I think Databricks will be a trillion dollar company one day.”

“I think many more Decacorns will get created over the next decade than over the last decade.”

“So depending on the role, depending on the person, maybe it's 20%, maybe it's 80%, but somewhere between 20 and 80% of the questions you have are answerable by a digital twin in that case, because that twin has built an institutional memory of you, the individ…”

“We think context graphs, because they have to emerge from the automation of a specific set of tasks or business processes. Like no one's going to do or can do the work to say, let me capture all the decision tracing organization and put them in one universal c…”

“Look, we believe that a year from now, You will actually have hundreds of context graphs in production at scale.”

“Maybe in a decade, maybe in two, I think Bangalore is an interesting ecosystem. I think in a decade or two, I think Bangalore, you know, has a shot at being there.”

“So look, obviously this varies from customer to customer, but the common pattern we're seeing is we're seeing a 30 to 80% reduction in exceptions.”

“Most people give it access to email. They give it access to their Google Docs, or SharePoint, or Box, Dropbox folders. Most people don't want to start out by giving access to all Zoom calls. Or phones.”

“You know, in the last six weeks since we talked about context graphs SaaS stocks have collapsed 30 to 40%.”

“Tessera won a twenty-five million dollar contract from a Fortune 50 corporation, and they went from zero to twenty-five million dollars in bookings.”

“The context graphs of three years of, you know, from now would be 10 to a hundred X better than today's context graphs, because the enabling technology will make them better. And the decision traces you capture will make them better.”

“First and foremost, the world we're headed to is each one of us will have one or multiple personal agents.”

“If you look at current payment systems, if you look at Stripe, and all of Stripe's fraud analytics and fraud systems, they're designed to test for a human being, and is there human fraud happening?”

“Today, you're seeing that chat GPT consumption in India is actually simultaneously with the U.S. I think there is as much consumption, perhaps more.”

“Mohit Aron, who's starting a new company, ah, going after, you know, sales tech, Siphon, and this is his third company. And Mohit's had two Decker coins, and, you know, this will be his third.”

“Look there, Meta will spend well north of fifty billion, I think some number between 50 and seventy billion dollars on the underlying data set, on GPUs, essentially.”

“If you look at, ah, code generation tools, where there has been the most zero to a hundred, you know, the fastest zero to a hundred ramp have been code generation tools.”

“We were the first investors in Solana.”

“I mean, Databricks started in 2013, but it took three, four years, and a lot of going around in circles for them to get to the point where they had product market fit.”