Databricks

“You know, think of, you know, the SpaceX's, the ByteDance, the Databricks, the Stripes of the world, all the companies people are waiting to see when they're going to come public. They all fit that profile. They don't need the public markets to provide the liq…”

“UiPath came out and said their growth slowed down to six percent. Salesforce came out and said their growth slowed down to seven percent. And I think for a company like Snowflake, it came in at 26% and Databricks is rumored to still be growing well in excess o…”

“We've recently sold two companies in our portfolio. One was reported by the Wall Street Journal for a billion to two billion dollars to Databricks called Tabular.”

“I think we may have four IPOs in the pipeline in the next four to six months. The rumors out there around companies like Cerebris and CoreWeave and Databricks, those are all in our portfolios.”

“Data processing represents the vast majority of the world's CPUs today. It still completely runs on CPUs. You know, if you go to Databricks, it's mostly CPUs. If you go to Snowflakes, mostly CPUs. SQL processing at Oracle, mostly CPUs. Everybody's using CPUs t…”

“Some of our fine tuning work, building, building models for a specific use case within our product, like, you know, didn't really pan out for us. And ultimately the choice was that, you know, we can go with already built models, whether they are small open sou…”

“In healthcare, we have you know, customer Merck that in the life science space created a model called TEDDY. TEDDY stands for Transformer Enabled. Drug discovery. And this is a transformer model, kind of just like large language models that can predict the nex…”

“The biggest problem is that you bake a model, and that's where it's learned everything it needs to learn, and then you freeze it, and then you launch it, and then maybe you give it some context, but that's it. It's frozen. So therein lies the problem that, you…”

“It really comes down to your company. What data does your company have that's special? That your competitors don't have. Can you leverage that? And can you build AI that really understands that data? Because that's not a commodity. There's not an AI out there …”

“We have the AGI we need. Let us just focus on solving the actual problems inside the organizations, and I think we can already, that's enough to automate a lot of the tasks and get huge economic value out of it. We don't actually need superintelligence for tha…”

“Royal Bank of Canada built agents with us that basically take, As soon as an earnings report comes out. So equity research analyst, their job is to put together these, you know, reports that say, like, you know, this is a buy, this is a, you know, hold, and so…”

“Databricks is a big, you know, 6000 person go to market org and three, 4000 person R&D org, and then there's some back office stuff.”

“There has been many startups that have failed in the generative AI. We're going to replace RPA with generative AI models. There's many startups that failed actually that I know of, like pretty some high profile ones.”

“Yeah, look, I think the LLM is a commodity. People are not saying that, but it is a commodity. Like, and, you know, when I took econ classes, commodity was when it's interchangeable. Like, you can get gas from this gas station, or you can get gas from that gas…”

“I think we have AGI. I think we have artificial general intelligence. We really have it. We absolutely have it. It's like, Anyone who says we need to get to AGI, that's like, it's a, it's false premise to start with. We already have AGI.”