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 56 resolved? a statement only gets an assessment when the public record can support or contradict it. opinions and what-ifs never can, and 2 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
Midha: Top VC investors should be forced to retire to protect decision-making
“Venture capital is a business about outliers, and when somebody succeeds, their opinion, and I think their decision-making gets over-indexed on their successes, which often, as you know, are outliers, and it's hard to generalize from a single outlier, and my b…”
Midha: Human alignment is a bigger challenge than technical AI alignment
“AI alignment, don't get me wrong, is hard, but not the hardest problem. Human alignment is really the problem right now.”
Midha: Recursive Self-Improvement in AI Is Already Happening
“Some people would call that recursive self-improvement totally happening.”
Midha: 21 of 22 Sand Hill Road VCs Rejected Anthropic
“So I introduced them to 22, you know, friends up and down Sandhill road. And so there's some investors there and we got 21 no's, right?”
Midha: Anthropic is the fastest-growing business of all time
“Tell them to give me a call when they'd like to be investors in the world's fastest growing business of all time, and then they can lecture me about public benefit governance and market share adoptions.”
Midha: Trump Is Providing Necessary Regulatory Freedom for US AI Innovation
“Now, president Trump is actually, I think trying to do his best from what I can tell in at least giving America enough freedom to innovate that these standards can even be discovered in our labs here. Because first you need somebody to actually pioneer and fig…”
Midha: VCs Are Burning Hundreds of Millions on Redundant Inference Startups
“It's not clear to me that we need 50 inference companies, and it's not clear to me that VCs are smart enough to realize that they're just lighting hundreds of millions of dollars on fire in a category where having four or five really good inference trusted pro…”
Midha: Venture Capital Community Has Forgotten How to Build Businesses
“The commercial community has forgotten how to build businesses, and they've forgotten the difference between first principles and marketing.”
Midha: VC managers are misallocating public capital into non-viable startups
“There's a huge misallocation of public capital into venture managers who didn't, are not capturing enough value in Frontier AI. Instead, they're investing in a bunch of stuff that's not going to exist, and the public's going to be mad.”
Midha: In five years, most people will spend their time offline
“I believe that most people five years from now will spend the bulk of their time offline, not online.”
Midha: West Needs an 'Iron Dome' for AI Inference to Keep Lead
“If we don't secure frontier model inference, or what I call state of the art inference behind a coordinated iron dome, I don't think we have a sustainable shot at staying at the frontier over the next decade.”
Midha: Compute scaling yields super-exponential gains in superconductor discovery
“And I can tell you throwing more compute at the problem is probably having super exponential gains right now per iteration. So it depends on which domain you're talking about, which modality. There's no saturation in superconductor discovery, for example, at a…”
Midha: Claude and Gemini Failed Badly at Physical Science Benchmarks
“About a year ago, as an example, I realized there was a lot of talk about models being good at physical physics and chemistry, AI for science. And I was a visiting scientist at the applied Physics department at Stanford. And we started benchmarking these model…”
Midha: Unique context feedback loops create superior AI moats
“Context feedback loops where you are, you have unique and differentiated access is where progress will be most legible to you. And if there are other teams who don't have access to that context, it'll also be where you have a superior business model.”
Midha: Sovereign data needs open cloud market to startups after 15 years
“Because the context, the mission-critical context of those workloads is so important to be run locally that you can't run them on Amazon, AWS, GCP, or Azure, and it's the first time In 15 years that the sort of hyperscaler dominance is up for grabs for startup…”
Midha: AMP provides billions in compute infrastructure at cost
“We're actually giving away most of our compute at cost. Now, if you're a shareholder, you'd go, wait on, do you have billions of dollars of compute infrastructure you're giving away at cost? Yes, because we think that's the right thing for humanity.”
Midha: Frontier AI Labs Are Running Compute at Half Capacity
“And many of them are running their own generators in their backyards at half capacity. And I'm going, this makes no sense. Let's all pull our generators so that a shoe factory can spike up during the day, a steel factory can spike up during the night, and then…”
Anj Midha: Compute infrastructure requires an electrical grid-like coordinating mechanism
“Well, obviously in the world of infrastructure, I think we need something like the grid. For, in the compute infrastructure. So that's what I've spent most of my days on, which is a coordinating mechanism for that, that allowed this, the, not the commoditizati…”
Midha: AMP Is Securing 1.3 Gigawatts of Compute Infrastructure
“We have started securing about 1.3 gigawatts of computer infrastructure. That's roughly forty billion dollars of cloud spend over the next four years. And that is financed roughly, you know, between with about 20% of equity. The remaining is debt. So 20%, that…”
Midha: Europe needs Google-scale compute infrastructure for AI sovereignty
“Like that's roughly what the continent needs for full sovereignty, right? To have as, at least as much infrastructure locally as there is within the alphabet holdings sort of pool. Over the next four years.”
Midha: Tech Is in a GPU Wastage Bubble, Not an AI Bubble
“We're not in an AI bubble for sure. I'll tell you that, which is the question I keep getting asked. We are definitely in a GPU wastage bubble where there are stranded pockets of compute, like billions of dollars of compute that are sitting unutilized.”
Midha: Integrated Huawei Chips Rival Top US AI Chips
“Huawei chips are able to produce capabilities improvements today in China that rival some of the best chips here when integrated up and down the stack.”
Midha: Compute shortages will prevent top AI labs from hitting revenue targets
“I think if there's any reason why OpenAI, Anthropic, Gemini, and so on don't hit their revenue targets over the next few years, it's because they won't have access to enough compute.”
Midha: Many Future Frontier AI Companies Will Pass $100B Valuations
“Oh, so many. I'm saying periodic is one.”
Midha: AI infrastructure projects will continuously raise capital without end
“As long as the capabilities frontier keep moving and we want a healthy, independent ecosystem, we'll just keep Raising more capital. There's no end to that. I don't really, the day machine learning stops working as a systematic way to give humanity more capabi…”
Midha: AI tools allow one person to achieve what required 50 people four years ago
“What would have taken 50 people to do four years ago, now with the right AI tools, you can do with one person.”
Midha: Late-entrant platforms will disrupt and displace incumbent VC firms
“I think that venture capital is going to go the way of past financiers of creative mediums where usually you have, you know, the early folks end up being pretty comfy execs because they took a risk on the industry and on early creatives when there weren't too …”
Midha: Early hires invest far more in startups than VCs do
“I do think team members are making early hires are making way more of an investment than investors are because they're investing not just with capital, but their time, their family, their reputation, their resume”
Midha: Real-time 3D multiplayer worlds are the true spatial computing revolution
“My belief is the real revolution that's happening here is in real time, three D rendering and in multiplayer Real-time three D worlds.”
Midha: Coding AI benchmarks are super-saturated, yielding diminishing gains
“In, in certain domains that are well explored, like coding, for example, yes, there's an increasing amount of compute required to get an incremental gain in some eval that's super saturated.”
Midha: Algorithmic innovation in AI is primarily driven by company culture
“Algorithmic innovation, I think, is a function of culture, basically, because if you have the right culture, you get to attract the best researchers, the best research talent, then wants to work on pushing the frontier, and algorithmic innovation just falls ou…”
Midha: AI has reached superhuman capabilities in domain-specific tasks
“Within coding, within material science, within each of these domain distributions, we are seeing capabilities that are superhuman.”
Midha: Investment thesis for Mistral AI is a fully independent European stack
“Independence at scale, at every part of the AI infrastructure stack, like land, PowerShell in Europe, that's sovereign, it's local. Compute infrastructure, that's local. And models that are trained locally, by the way, fully open, so they can be deployed and c…”
Midha: Anthropic's mission has always been aligned with US national interests
“Anthropic, I will say, you know, the mission and vision has always been very I think it's always been very American aligned, right? They've always said, hey, America is, The crown jewel of the world in terms of innovation. This is where we're located. Anthropi…”
Midha: Anthropic Cut Initial Seed Target From $500M to $100M
“Remember we originally tried to go out and raise five hundred million and then had to re-anchor to only raising a hundred million dollar seed round”
Midha: Tech companies will increasingly adopt public benefit charters
“We need more public benefit charters in Silicon Valley and in technology, and I think we will get there.”
Midha: Traditional VC and Company Incubation Models Cannot Coexist in One Firm
“I think it's very hard for them to coexist inside of one person, and it's very hard to coexist sometimes inside of even one firm”
Midha: Google operates 12 to 15 gigawatts of compute infrastructure
“I think Google Is roughly at 12 to 15 gigawatts of that I'm aware of infrastructure for internal and external deployed needs.”
Midha: Optimal tech market competition consists of three or four key players
“The optimal competition set set up is you have three or four teams. In every frontier that are making extraordinary progress. And so if you invest in them, you get extraordinary returns, but they're not so comfortable as to be a monopoly such that they can sto…”
Midha: General-purpose AI models will be made available to everyone
“So if you have a general model that's good for everybody, it will be available to everyone.”
Midha: Kleiner Perkins' highest IRR investment was Juniper Networks, not Google
“When I was actually studying Kleiner Perkins' returns history, when I was at the firm in the year, the nineties and the 2000, I think one of the highest IR investments that Kleiner ended up ever making was not Google. It was not Amazon. It was Juniper networks…”
Midha: Index, Benchmark, and First Round operate as service providers, not financiers
“And all three of these firms, index, benchmark, and first round operate as if they're being evaluated as a service provider. Not as financiers.”
Midha: Winning spatial computing platforms will bridge AR, VR, web, and mobile
“The companies that will end up building massive standalone businesses here will figure out how to leverage the uniqueness of AR and VR and iOS and web and Android to give multiple viewers different viewing perspectives and interactions with the same content.”
Midha: Superconductor discovery shows no signs of saturation
“There's no saturation in superconductor discovery at all.”
Midha: Scientific AI is bottlenecked by data locked in physical labs
“If you need physics and science, That's a real bottleneck because that data is locked up in national labs and academic labs. It's locked up in physical you know, semiconductor manufacturing plants.”
Midha: US Cloud Act gives US government access to American-managed data
“The, you know, the US Cloud Act says that, hey, if there's mission, if there's any data workloads, infrastructure, cloud workloads running on infrastructure that is managed by an American company, then the US government has to be able to access that data.”