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 55 resolved? a statement only gets an assessment when the public record can support or contradict it. opinions and what-ifs never can, and 0 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
Stability AI Has More Compute Available Than Microsoft or Google
“The reality is we have more compute available to us than Microsoft or Google.”
Patel: Microsoft's AI hardware programs fail because Microsoft lacks model understanding
“There's a reason why Microsoft's hardware programs suck, right? Because they don't understand models at all.”
Patel: Hyperscalers cannot replicate CPU and storage profit margins in GPUs
“Their ROIC is, like, extremely high on CPU and storage, and to assume that it can, like, translate over to GPUs is, is a bit of a fallacy, which is why a lot of these companies are moving in, right?”
Patel: Microsoft dropped Stargate for OpenAI due to slow execution
“Microsoft is not building
Stargate for OpenAI, right? It's because it would have just been too slow, and they're doing it the lame and old way.”
Haas: Nvidia, Amazon, Microsoft, and Google Backed Arm's Physical Chip Strategy
“So whether it was Nvidia, Amazon, Microsoft, Google, All people who build ARM-based server chips, they were all on board, and I think the ultimate proof point was when we announced the product last March, we had Jensen, we had Ronnie Boker, we had Amin, we had…”
Nadella: Platforms must enable custom intelligence layers, not single-model worship
“That idea that you can build a platform layer that someone else can then extend out and build their own intelligence layer in this case, I think is everything right without it. Why have a developer conference? I can just come and have you all sort of just wors…”
Nadella: Private AI evals may be an enterprise's biggest IP
“Every company having private evals may be the biggest IP, right? I think about it, like what's that private eval that you can then use even a frontier model to hill climb on and not leak the traces. Maybe one of the biggest drivers of IP.”
Nadella: Many open-weight models look good on benchmarks but fail in practice
“In fact, that's one of the challenges of a lot of the open-weight models is they look great on one benchmark or two, but they're not great on practice.”
Patel: Some NeoClouds beat AWS, Google, and Azure on software performance
“Actually some of these NeoClouds are better than Amazon and Google and Microsoft in terms of software.”
Shiv Rao: Abridge has never lost a head-to-head evaluation against Microsoft
“Now, the, you know, who we're competing with is Microsoft. That's who we essentially almost, like always have to do a head-to-head against, and it's usually, like, three to four weeks. And then we sort of move on from there. And so far we've never lost a head …”
Lina Khan: Microsoft antitrust action allowed Google, Amazon, and Facebook to flourish
“The reason that Microsoft was looking to elbow out Netscape was not because Netscape risked replacing it as the dominant operating system. It was because Netscape risked disintermediating it and making it irrelevant whether you were using Microsoft or somethin…”
Guo: Microsoft's Inflection Deal Is a Strategic Hedge Against OpenAI Reliance
“Now, they're clearly still working with OpenAI, given, like, direct statements from both companies and the Stargate Data center effort, but it's also hard from the outside not to see this as somewhat of a hedge, right? Not in a criticism of OpenAI, but you kno…”
Guo: Next-Gen AI Model Spend Requires Hyperscaler-Level Sponsorship
“The spend required at the perhaps not even this generation, but the next generation really requires a certain level of sponsorship that is challenging for most independent players, but it's a directly opposing view to the, for example, the Databricks narrative…”
Hoffman: English and Chinese will become the most significant programming languages
“The most significant programming language in the next few years is gonna turn into English, and then of course rapidly followed by Chinese, because the broad use of the language and being able to create things, computational artifacts, Code, et cetera.”
Noon: Cybersecurity incumbents acquire startups because early-stage efficacy is unpredictable
“There's a, you know, like a truism that all cybersecurity products are just, you know, complex insurance policies or whatever, right? But the point is like that, that mushiness exists. And so what has resulted in, in, in the free market here is these incredibl…”
Scott predicts the AI industry will never have enough compute capacity
“I just had super, super high confidence that we were never going to get to the point where we're like, all right, we got enough compute.”
Scott is not worried about major AI competitors behaving unsafely
“The thing that I will say is we fiercely compete with a whole bunch of these folks. But, like, one of the things that I don't do is, like, look at any of those companies that you just named and, like, worry that they're going to do something that like, is, lik…”
Scott: AI will create value through assistive tools, not full autonomy
“We started with this assumption that AI is going to be a platform and the way that people are going to most usefully
Make or the way that people are going to make most use of the platform is by building tools that assist people with jobs. So it's like less abo…”
Scott: Generative AI transition is harder for ML veterans than new entrepreneurs
“I think it's honestly harder for some, Machine learning people than it is you know, for like a brand new entrepreneur who's, you know, just looking for an interesting thing to go do because it is a very different way for a machine learning team to do its work.…”
GitHub probably sold to Microsoft too early, argues Delangue
“So when you talk about, you know, money in GitHub for me, like the, if there was a mistake, it's probably to have sold it too, too early to Microsoft.”
Gil: AI value capture will likely be 80% incumbents, 20% startups
“And it feels like in this wave, it's probably eighty-twenty again, right? It's probably, Google will probably become a player, right? OpenAI is closely aligned with Microsoft. And then, you know Salesforce with AI is probably Salesforce, right? It probably isn…”
Nadella: Azure networking team deployed agent Miles, requested tokens over headcount
“So they built this agentic system. They even have a character for it. It's called miles and it sort of does all this stuff, right? They, Started sort of screaming for more tokens and so on. And so they were saying, look, I, we don't need headcount. We need tok…”
Nadella: Prepping context layer for execution efficiency is where AI magic lies
“The amount of work you need to do to prep the context layer such that your plan can execute in the most efficient way. Is where the magic is.”
Nadella: A platform must create more value outside than it captures
“At least for me, having grown up at Microsoft, having seen whatever four major platform shifts I sort of fall into that camp where a platform is defined by fundamentally its ability to create more value about the platform versus what's captured in the platform…”
Nadella: Industry underestimated real-world complexity of deploying AI value
“Now, what I think we underestimated perhaps is the real world complexity. Of deploying these so that they actually deliver the value in the real world, right?”
Gil: AI labs scaled from $1B to $10B revenue in one year
“ADP Took 20 something years to grow from a billion to ten billion in revenue. And then the next wave of companies like Adobe took about 20 years to go from one to 10. And then you fast forward in time and you have things like Salesforce or SAPs for an even mor…”
Ramaswamy: Databricks and Fabric Strained Snowflake's Relationship With Microsoft
“Among the earliest places where this went to work was in our relationship with Microsoft, which was okay, but not that great because they had a one P relationship with Databricks. And they're always kind of conflicted about is fabric the answer or snowflake th…”
Lloyd: GitHub Is Not Executing Well on AI Coding Front Door
“The other front door, which. I feel like honestly they're not executing that great is GitHub where all the source code lives.”
Mann: OpenAI, Google, and Microsoft are betting big on Anthropic's MCP
“OpenAI, Google, Microsoft all these companies are betting really big on MCP.”
Gil: AI coding market has consolidated into a few key players
“Encoding, it seems like it's consolidated into two or three players. You know, maybe that's Cursor, Codium, Cognition, and then Microsoft, Microsoft's like Copilot, right? But there aren't probably like two dozen companies that are all still competing there.”
Shiv Rao: Abridge competitor's 2022 solution relied on manual scribes in Bangalore
“And at that point in time, like the large competitor, they had a solution in the space, but it was humans in the loop. So it was really like Indians in Bangalore who were listening to audio and writing the note and Wizard of Oz-ing it back into the medical rec…”
Garman says Google and Microsoft forced new app paradigms in early cloud
“I think if you look at some of those others like Google and later Microsoft they kind of went at this space for first, we were the first ones out there that had anything like this, but even soon after that, I think they went after the space, like that was goin…”
Alexandr Wang: Scale AI fuels basically every major LLM developer.
“Today, you know, fast forward to today our data foundry fuels basically every major large language model in the industry. Work with OpenAI, Meta, Microsoft, many of the other players.”
Guo: Microsoft Copilot Revenue Still Far Below Company's Expectations
“Despite all of the, you know, initial real traction around Copilot in the code domain I think we're still far short of what revenue Microsoft actually expects to drive in terms of across its productivity suite and in search, and they're ambitious to go after t…”
Gil: Big Tech, not VCs, drives multi-billion dollar AI funding rounds
“The big rounds aren't venture capitalists. Investing billions of dollars is the big tech companies. It's Amazon and Google and Microsoft and Salesforce and NVIDIA actually, right?”
Zhao: LLMs Demand Bundling of Information Rather Than Just Distribution
“I think there's bundling of distribution and bundling of information. What you're describing to me is more of Microsoft, more like bundling of distribution. Language model wants the bundling of data, bundling information.”
Slootman: Supply chain management is stuck in 30-year-old spreadsheets
“Supply chain management is an email spreadsheet business. I mean, they're still living in, in, in the world of Microsoft, 30 years ago.”
Scott: Microsoft Copilots use a portfolio of AI models
“If you look at things like Bing chat or Microsoft three 65 copilot or GitHub copilot, you end up using a portfolio of models to do the work and like you use it for performance and cost optimization reasons, and you use it for you know, just sort of precision a…”
Kevin Scott: Microsoft Had Significant Internal Dissent Over OpenAI Deal
“So there was a huge diversity of opinions inside of the company on the wisdom of doing doing this.”
Scott: Microsoft software interactions will fundamentally change by the end of 2023
“It will touch all of Microsoft's product portfolio. Like the way that you will interact with our software will be substantially different by the end of this calendar year than it was coming in.”
Scott seized Microsoft's entire GPU budget to stop peanut buttering resources
“At one point I seized the entire GPU budgets for the whole company. And I was like, we will no longer peanut butter these resources around. Like we will focus them because it's all capital intensive. It's like, we will just allocate these things to things wher…”
Srinivas: Google and Microsoft will match Perplexity's current search capabilities
“I feel like Google and Microsoft will pretty much do the same thing we have right now as well as us.”
Nadella: M-Dash found security vulnerabilities on launch that Mythos missed
“Because when it launched it found bugs or vulnerabilities that were not found by mythos.”
Nadella: Microsoft uses the GitHub harness across all its AI products
“So we have, in our case, we have the GitHub harness, which essentially we're using across all our products. It's available in Foundry”
Elad Gil notes major Microsoft Office apps originated as third-party software
“I think people also forget that all of Microsoft Office at some point were third party applications. So in the eighties, there were separate companies like Lotus and others that were providing what turned into Excel. There was a PowerPoint company that was ver…”
Noon: Duopolies bring market stability but extreme security fragility
“Duopolies are stable in the market, but very fragile when it comes to security.”
Halligan: HubSpot tried to invest in OpenAI alongside Microsoft but got rejected
“The second we saw ChatGPT, we tried to invest in, in OpenAI. Dharmesh had got early looks at it, and we tried to get in the round with Microsoft, and had a bunch of discussions with them, and they bought, at the end of the day, they wouldn't let us in, which i…”
Pomel: Shared cloud infrastructure allows software vendors to serve startups and enterprises alike
“In the cloud and open source generation, like the tooling is the same for all companies. If you go back 15 years, if you were a startup, you were building on open source. And if you were a large company, you were buying whatever Oracle or Microsoft was selling…”