
australian in london. Airwallex. ex-goldman sachs M&A. prev world #1 concert guitarist. 2:47 marathoner. side project https://xitter.gq/t.co/DqNM0jjXSn
London
Joined June 2014
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andrey retweeted
We won Best Engineering at @Dwelly AI Transformation of Services hackathon 🏆
Property management, done Properly
👉 withproperly.com/
Amazing team @fergomg @_daniildanilov Miruna Jarda @bilallmustafaa
🫶 sponsors @AnthropicAI @ElevenLabs @generalcatalyst @eqtventures
andrey retweeted
I asked Opus 5.5 to make an interactive website companion for the latest @AcquiredFM Home Depot episode. It came out pretty nice!
Water color illustrations all drawn by Claude, too: claude.ai/artifact/RdE6uE7Wo…
Episode here: acquired.fm/episodes/home-de…
andrey retweeted
Introducing Dreaming: Across sessions, Devin builds a memory graph of how you like to work
At night Devin self-improves its memory to remove stale records and discover latent information
We are creating an OSS standard called Agent Memory Repo: cognition.com/agent-memory-r…
andrey retweeted
Replying to @awxjack @lulumeservey
There is no investigation.
Ramp's board member has publicly been calling Jack a, an Australian founder, a “CCP tool” and other disgusting names for months. It is one of the most outrageous and gross smears I have ever seen in my career.
You may not have heard Airwallex discussed internally as a competitor but it doesn't make the conduct acceptable. I've worked with a lot of incredible founders who would have asked their board to knock it off a long time ago.
If Ramp’s leadership believes this rhetoric is wrong, they should say so. Allowing a board member to keep doing this while everyone else maintains plausible deniability is low integrity.
andrey retweeted
After working with @JTLonsdale dating back to 2008, it's personally disheartening that his interests in competitive firms result in unwarranted propaganda towards @airwallex. After 11yrs at @PalantirTech, I joined @awxjack in Melbourne in 2020, and we've since been on a mission to empower businesses to operate across borders. Global finance is a a complex environment, requiring careful attention to regional regulatory requirements, data isolation, and system integrity. Airwallex approaches this complexity seriously, and with pride, just as Palantir did with sensitive government environments.
Important work by the House China Committee: Airwallex has founders with ties to China, 712 employees there, and Chinese laws that require the company to help CCP intel gathering on demand.
If you use Rippling, Deel, Brex, Navan, or Zip, it’s worth asking them if your US or intl payments run through Airwallex.
If so, there’s NO protection if the CCP decides they want to take a look.
andrey retweeted
There are a few things that immediately come to mind with this baseless smear campaign driven by certain individuals that may have different motivations to what they claim (follow the money!)
Firstly when you can’t compete you resort to this sort of behaviour. It’s old, tired, predictable and it is almost always counterproductive.
Secondly these folks clearly don’t know @awxjack or the rest of the @airwallex team. This is an Aussie company with an Aussie underdog DNA. They ain’t going to let you make shit up. Big mistake!
I’m a founder. I like to focus on engineering and building rather than responding to false allegations. But there is so much here that I had to say something.
I was born in China, and I am a proud Australian citizen who immigrated there as a teenager. Australia gave me the freedom and opportunity to build this company. The United States represents that same promise more powerfully than anywhere else on earth.
Having employees in China is not, by itself, a security issue. The question is how customer data is protected. Joe knows that many of the world’s largest payments, banking and technology companies have employees and operations in China. What matters is the architecture, controls and safeguards governing access to data.
Our controls have been independently assessed, and our product and security teams include veterans of Palantir and the Australian Defence Force. These allegations did not originate with a security breach or regulatory finding. They originated with investors in Ramp, our direct competitor.
We have written to the Congressman and look forward to answering his questions. You can read the correspondence here:
andrey retweeted
VCs out for blood with the smear campaign on Airwallex. Dont believe everything you read.
andrey retweeted
Nearly a year in the making…
This is the best thing I’ve ever read about one of the most important people shaping the world around us.
Set aside an hour tomorrow. You don’t want to miss it.
andrey retweeted
Introducing Projects, a new way of working in Cursor.
Rather than creating a chat for every task, you work with a coordinator agent in a single, persistent thread.
Like @bot, your agent is always on, proactively manages work with subagents, and improves over time.
andrey retweeted
Excited to finally share ChatGPT for Financial Services. When I joined OpenAI last year, my only goal was to allow financial institutions to easily access the data they need, and create a cohesive product experience that allows all bankers and analysts to do the majority of their work inside of ChatGPT.
With ChatGPT for Financial Services, we’ve done the hard work of indexing the data that you need, and making it easily accessible to the model for financial analysis. We’ve created a custom charting experience, better citations, an SEC filing viewer, and much more. Today is just the start of this new chapter, excited to share more about all of this soon!
openai.com/index/introducing…
andrey retweeted
Big news: T:0 is now generally available.
Starting today, founders can get access to a fully agentic finance team from day zero.
The idea is to give founders the financial context they usually only get much later, once there’s a full finance team around the table (and hopefully make the next investor meeting or hiring decision a little less stressful.)
You can ask messy finance questions, run scenarios, or dig into what’s actually driving your business, and @t0finance's agents will do the hard work of pulling the numbers together and working through it.
For us at @airwallex, this is part of a broader goal: remove as much friction as we can between founders and building a great company, whether that’s borders, payments, or the finance work piling up behind the scenes.
Congrats @lancectk and team. Excited for more founders to finally get their hands on it.
andrey retweeted
Josh Kushner wrote his first-ever formal letter to backers of his $65 billion investment firm, Thrive. The letter is an opportunity to understand what Thrive is seeing real-time, and to better understand how Thrive is applying its strategy to this current moment.
Letter to Thrive Capital Investors:
In Thrive’s history, I have never written a formal investor letter. This year, because we will not be together for an Investor Day, I wanted to write to you directly. We are deeply grateful for your trust, and we feel a profound responsibility to continue earning it through our work.
The principles that have guided Thrive since inception remain the same. What has changed is the world around us. I want to use this letter to share what we are seeing, how we are applying our strategy to this moment, and why the same principles that brought Thrive here continue to shape the work ahead.
Our Strategy
Thrive began with a simple but unconventional idea. We believed an investment firm could be opportunistic across stage, sector, and geography, while remaining deeply concentrated in a small number of people and ideas. We wanted to build a firm with the freedom to follow its curiosity wherever the best opportunities emerged, and the discipline to act only when that curiosity became conviction.
We have never believed that the traditional boundaries of our industry needed to define us, and we remain grateful to the partners who believed in this approach long before it was obvious. Our strategy has never been to be different for its own sake. Rather, the strategy has been, and always will be, to think from first principles about what founders need, where the best opportunities are emerging, and how we can build Thrive to concentrate our time, capital, and energy on the people and ideas we believe in most.
We have long believed that a small number of exceptional companies create a disproportionate amount of value and can compound their advantages for far longer than the market expects. We also believe that being a meaningful partner requires time, context, and trust. You cannot know a company deeply from a distance. You cannot be a true partner in difficult moments without the time and context that concentration requires. That belief shaped the portfolio. It also shaped the firm.
Since our founding, the scale of Thrive has changed, but the strategy and ethos of the firm have not. In every way, scale raises the standard. Today, Thrive manages more than $65 billion, more than half of which is driven by investment gains. But AUM will never be the product. We view it as a reflection of trust earned over a long period of time. The product of Thrive is the quality of our judgment, the depth of our partnership, the discipline of our process, and the culture of the team making decisions every day.
Culture is a word that is easy to overuse and hard to define. For us, it has always meant a small number of simple things taken seriously.
We try to listen more than we talk. We try to say “I don’t know” when we do not know. We try to be intellectually honest even when the truth is uncomfortable. We try to be ambitious while remaining self-aware. We try to be kind without being weak. We try to be tough without becoming callous. Gratitude without ambition can become nostalgia. Ambition without gratitude can become entitlement. We need both. We try to focus on our craft rather than the noise around us.
This requires humility. It requires recognizing that the most important insight may come from the least experienced person in the room. It is not possible to always make the right decision, but it is possible for us to always have the right conversations. Above all, we understand that we will never be a finished product, either as a firm or as individuals. Excellence is not something we arrive at. It is the work itself.
While I am proud of how far Thrive has come, and thankful for all we have built together, I am even more aware of how far we have to go. That tension has always been important to us as it has been part of the ethos of the firm from day one. We never confuse progress with arrival; as soon as we summit a mountain, we immediately look for the next climb.
We remain early in our journey and a small percentage of our full potential. That reality is both humbling and motivating.
Our Perspective
The clarity of our thinking matters more today because the opportunity before us is so significant. There are moments in technology when progress feels linear, and moments when it begins to compound in ways that are difficult to understand in real time. Today feels like one of those exponential moments. Ideas that would have represented major breakthroughs only a short time ago now appear almost weekly. The pace of technological and scientific progress requires us to keep updating our understanding of what is possible, while remaining disciplined about where enduring value will accrue.
Artificial intelligence is the most important technology paradigm of our lifetimes.
The internet democratized access to information. AI has the potential to democratize access to intelligence. If that happens, the implications could be extraordinary. Every person, company, and institution may eventually have access to capabilities that were previously unavailable or unimaginable. Workflows will change. Products will change. Cost structures will change. Entire industries will be rebuilt, and the societal implications of both the magnitude and rate of change are likely to be profound.
Our work with OpenAI has given us a close view of how quickly these models are becoming useful in the real world. The most important lesson is not any single benchmark or release. It is the rate of improvement. Systems are beginning to operate with greater autonomy, and the amount of work a model can complete in one uninterrupted effort is expanding quickly. For us, the conclusion is not simply that AI will create value. It is that we must be increasingly precise about where value will be captured, and where it will compound over time.
One area we believe durable value will be created is in the infrastructure required for AI to scale: compute, power, networking, memory, advanced manufacturing, and the supply chains that enable models to be deployed at scale. As AI adoption grows, these inputs become increasingly important, and in some cases, increasingly scarce. These constraints will help determine the pace at which the shift occurs.
It is difficult to overstate the magnitude of the opportunity. It would also be a grave error in our minds to let excitement weaken our investment discipline. In moments of euphoria, investors tend to convince themselves that second- and third-tier assets are actually first-tier. The story becomes so powerful that people stop making distinctions. Capital flows toward the theme rather than the company. Markets begin to reward proximity to the future rather than evidence of enduring quality. Within Silicon Valley in particular, the industry can become fixated on hyper-incremental technological turns rather than where the technology ultimately leads.
We have seen this before, and we will see it again. Technological optimism and investment discipline are not opposites. In fact, the more optimistic we are about the size of a paradigm shift, the more disciplined we must be about where value will be captured. Not every company exposed to an important theme becomes important. Not every company using new technology becomes enduring. Not every fast-growing business is exceptional. And not every exceptional company is a great investment at every price. Our responsibility is to maintain those distinctions.
We are independent because markets move between fear and enthusiasm, and neither is a substitute for judgment. In difficult moments, independence can mean moving toward an exceptional company while others move away. In euphoric moments, it can mean remaining patient while activity around us accelerates, knowing there will be future opportunities to partner with many of these same exceptional businesses but with a more attractive risk/reward calculus. It is only because of repeated lessons throughout Thrive's history that we have learned the highest-quality assets compound over very long arcs and, as such, patience, discipline, and conviction must sit together in equal measure.
As we look at the world today, we increasingly organize our opportunity set across four categories:
Emerging Technologies: These are businesses creating the building blocks of both new industries and new paradigms which will drive exponential change. Companies such as OpenAI, SpaceX, and Isomorphic represent what we believe are among the most important technology platforms being built anywhere in the world. They are difficult, deeply ambitious, capital-intensive, and, early on, very often misunderstood. We do not view these as reasons to avoid these businesses, and in many cases, they are part of what makes them important and defensible.
Infrastructure and Applications of Emerging Technologies: These are businesses such as Stripe, Databricks, Anduril, and others whose products, data, distribution, and customer relationships can position them to be more valuable in an AI-first world. Some will underpin the infrastructure layer. Some will create domain-specific intelligence. Some will apply AI to existing workflows in ways that fundamentally improve the customer experience. The common thread is that they are deeply advantaged by technology paradigm shifts.
Traditional Industries to be Transformed by Emerging Technologies: This is the work of Thrive Holdings.
Since seeing the preview of ChatGPT in 2022, we have believed that AI would transform large, legacy industries that collectively represent several trillion dollars of enterprise value. But unlike many of our peers, our conviction was not only that these industries would be disrupted from the outside in but also that many would be transformed from the inside out.
The most important ingredients for applied AI are often proprietary data, domain expertise, workflow ownership, and the ability to implement change in real-world operating environments. Existing businesses often have these ingredients, but they do not always have the technology, talent, urgency, or ownership structure required to leverage them fully. That is why we started Thrive Holdings.
Through Holdings, we have acquired more than 70 businesses that serve tens of thousands of customers. We now have a dedicated team of 35 engineers and operators working alongside the operators inside these businesses. On our accounting platform, we have built custom agents that have achieved 98% accuracy and reduced preparation times by up to 30% for tax returns. At our IT services firm, triage and resolution agents have reduced ticket completion time by 60% and are resolving 50% of all tickets end-to-end.
We are proud of this scale and early impact. What is most exciting at Holdings is the progress happening inside the businesses themselves. In partnership with OpenAI, we are building increasingly capable custom models and proprietary systems that can change how these companies operate
This work has also taught us that AI transformation is not only a model-layer problem. Models matter enormously. But real-world transformation requires product thinking, engineering, workflow design, incentives, training, and organizational change. It requires people who understand the business and people who understand the technology working together in a very deep way. In many ways, change management is the product. That is hard. It is also why the opportunity exists.
Assets Counterpositioned to Transformation: This is the work of Thrive Eternal.
Most of our time is spent thinking about the first-order consequences of AI. What becomes more efficient? What becomes cheaper? What becomes automated? What new products become possible? But there will also be second- and third-order consequences. In a world of abundant intelligence, certain scarce human experiences may matter more. In a world of fragmented distribution, trusted institutions may matter more. In a world where content and software become easier to create, assets rooted in identity, culture, community, history, and physical experience may become more valuable.
Eternal was created to invest in a small number of these assets and steward them over very long periods of time. The objective is not to buy, optimize, and sell. This distinction is very important. We intentionally chose a permanent capital structure because the assets we want to own deserve a time horizon measured in decades.
Each of these categories is distinct, yet the philosophy behind them is the same, and the strategic connectivity among them is foundational to the firm's strategy.
The frontier companies help us understand where technology is going before it becomes obvious. That perspective makes us better investors in both the public and private markets, where we can identify the companies best positioned to benefit from new technology paradigms long before those advantages are fully reflected in their businesses or valuations. It also makes us better partners to the exceptional founders building the infrastructure and applications that bring these technologies into the real economy.
Through Thrive Holdings, we learn what it actually takes to transform established businesses from the inside out, giving us hard-earned operating insights. And through Eternal, we better understand the characteristics that enable businesses to retain their relevance and compound through periods of significant change. That perspective strengthens our judgment around durability and long-term value creation across the firm.
At the center of all of this is a simple belief: our job is to partner with the most talented and ambitious entrepreneurs in the world, develop a deep understanding of both technology and its practical implications, and build an organization where every lesson compounds across every strategy. Over time, we believe that this shared knowledge and perspective will become one of Thrive's most enduring competitive advantages.
Our Work
At the early stage, we remain focused on maintaining close contact with the frontier. Early-stage investing is the largest universe of opportunity and the clearest way to understand how the next generation of founders is thinking. We have been fortunate to partner with companies such as Cursor, OpenEvidence, and Physical Intelligence, which are helping define progress at the model, application, and infrastructure layers. We expect to continue investing at our historical pace through the remainder of the year, with a focus on emerging technologies, AI applications, and infrastructure.
At the growth stage, we have built positions in existing growth-stage portfolio companies we have admired for a long time, including Anduril, Isomorphic Labs, Stripe, and OpenAI. We are humbled that founders increasingly seek Thrive as a lead partner. We will never take that for granted. Access is earned through judgment, work, and the quality of partnership after the investment is made. When Thrive leads an investment, we want that decision to communicate a deep belief in the quality of the team, the importance of the product, and the magnitude of the opportunity.
We are also deepening our work in public markets. Historically, Thrive has made a small number of public market investments when we believed a business was meaningfully misunderstood. Today, we believe that understanding the most important public technology companies is increasingly essential to our work across the firm. Many of our growth-stage companies compete with, partner with, or become the next generation of public technology companies. The more precise our understanding of public markets, the better our judgment will be in private markets. Our targeted public market work is an extension of our desire to continuously learn, to sharpen our collective judgment, and to improve our ability to evaluate quality irrespective of where it exists.
Our Performance
We know that you have entrusted us with capital that supports universities, hospitals, foundations, families, countries and institutions whose work extends far beyond our own. We never forget who we work for. When we do well, the causes and people you support do well too.
We are ultimately measured by the returns that we generate. That is appropriate. But returns are outputs. If we become too focused on the outputs, we will lose the very things that have enabled those outputs to exist. The inputs are the people, culture, process, data, discipline, judgment, and trust.
This September will mark fifteen years since Thrive raised its first institutional fund. Since inception, Thrive funds have compounded capital at an aggregate gross IRR of 41% and an aggregate net IRR of 33%. Each of Thrive II to Thrive X ranks in the top quartile of its applicable benchmark based on net TVPI and approximately one-third of those funds rank in the top 5% on this metric. Over the last 12 months, we have generated more than $1B of liquidity and believe there may be an opportunity for billions of dollars in additional liquidity in the coming quarters.
The reason to include these numbers is not to celebrate them, but to explain what produced them. A small number of decisions have mattered disproportionately. Each investment has taught us different lessons. Some taught us the importance of acting before something is obvious. Some taught us the value of concentration. Some taught us that the best founders can navigate periods when the rest of the world loses conviction. Some taught us that being early is less important than being right, and staying committed.
We have also made our share of mistakes. We have invested in companies that did not become what we hoped, and we have passed on companies that became extraordinary. We have underestimated products, founders, and markets. The only way to improve is to be honest about these errors of judgment and to make sure that every success and every failure becomes a data point that makes the firm better.
Our Team
We have always believed in the power of a small team. Small teams require trust, clarity, and ownership. They also require exceptionally high standards. Each person at Thrive, regardless of function, must make the firm better. We have often used the concept of an artist colony internally because we believe the best people always want to be surrounded by others who care deeply about their craft. That has been true not only on the investment team, but also across portfolio impact, finance, legal, compliance, investor relations, data, product, and engineering.
This commitment to individual and collective excellence is the source of our ability to perform for our founders and our limited partners.
Across Thrive, our teams are operating at a very high level. The portfolio impact team is helping founders diagnose the most important problems in their businesses and reason from first principles toward the right answers. Our product, engineering, and data teams now represent approximately 10% of headcount and are reimagining how Thrive itself operates. We are building tools for the investment team, investor relations, diligence, portfolio monitoring, knowledge management, and internal workflows. These internal AI tools are saving thousands of hours of work per year and critically raising the standard for what each individual and each team can accomplish.
We have always viewed Thrive as a company that happens to invest in and build other companies. In 2023, in order to think about how to best position Thrive strategically, we brought on a select group of strategic shareholders whose experience and global perspective have been invaluable to building Thrive and our portfolio companies, including Bob Iger, Henry Kravis, Mukesh Ambani, Jorge Paulo Lemann, Alexandre Van Damme, and Xavier Niel.
As Thrive has continued to evolve, some of our closest partners have expressed interest in supporting Thrive in its broadest sense. We are therefore pursuing a similarly sized minority investment from our original shareholder group, together with a small number of new institutional partners. Beyond providing additional capital to support our long-term ambitions at Thrive, these partners bring experience, perspective, and strategic counsel that will help us continue building across each of our platforms for decades to come. Our intention would be to retain the capital on our balance sheet in order to continue investing strategically in Thrive.
Across every dimension of team building and strategic positioning, we are asking the same question of ourselves that we ask of the companies with whom we partner: if we were building Thrive today, with the tools and resources now available, how would we build it? There should be no function and no process at Thrive that is protected simply because it is familiar. We need to keep shipping. We need to keep learning. We need to keep evolving and be open to new opportunities. We need to keep improving the product we deliver to founders and limited partners.
Our Commitment
Much has changed since we started Thrive. Much more will change in the years ahead. But the essence of who we are has always stayed the same.
We must continue to think independently.
We must continue to be ambitious.
We must continue to be concentrated in people and ideas, as quality is scarce.
We must continue to support founders in both their most exciting and most difficult moments.
We must continue to be disciplined when others are euphoric, convicted when others are afraid.
We must continue to be humble, as seeking external validation can distort judgment. Praise and criticism often arrive with the same lack of precision, and neither should change who we are.
We must continue to earn your trust every day.
I do not know exactly what the world will look like ten years from now. Anyone who convinces themselves that they can predict the future with certainty is not being honest. I do know that the work ahead will, at the very least, demand the same values, principles, and approach that brought us here.
We feel extraordinarily fortunate to be building during a period of such profound innovation. I believe it is in moments of extraordinary change that Thrive is able to operate at the highest possible level as our small team and generalist mandate are purpose-built to identify and execute on the most compelling opportunities.
We are grateful to the founders who allow us to be by their side. I am grateful to my colleagues at Thrive whose commitment to our work inspires me every day. And we are grateful to you for your trust, partnership, and support.
We believe the opportunity ahead is larger than anything we have seen before, and we deeply believe that Thrive today is only a fraction of what it can become.
yours,
Josh
Incredible. Jensen is completing the circle.
- Bankers don’t like GPUs as collateral because the depreciation is unpredictable
- It’s unpredictable because a new GPU can obsolete an old one
- Jensen knows his own roadmap
- so he’s offering depreciation insurance to the banks
- the depreciation insurance (up to 25%) helps the banks get marginal deals over the line
Speculation
- Nvidia will also advise the banks on “reference designs” for datacenters that will make them fungible
- Having them be fungible means that the debt can repackaged into Asset Backed Securities, Collateralized Loan Obligations and Collateralized Debt Obligation (ABS, CLOs and CDOs from 2008 haha)
- This allows tranching to get investment grade ratings on the debt so that it can be resold to pension funds and insurance firms
- It also allows the banks to trade idiosyncratic project specific credit risk for sector wide credit risk
So Jensen is trying to get his customers the same cost of financing as real estate rather than venture equity.
This is going to move the data center game out of the VCs and into the big leagues.
andrey retweeted
I'm actually fairly bearish on frontier lab valuations. I've never seen the reasons articulated to my satisfaction, so before I go to sleep, I wanted to quickly jot down my thinking here.
The basic issue is that the labs are highly unprofitable. This may seem like a simple point, but private market valuations can be relatively irrational; however, like with $SPCX, post-IPO pricing will likely be much more punishing, especially as the standard 6-month lockup period expires and selling pressure intensifies.
Many people claim that the labs have high margins. Yet even with high margins, a valuation of $1T would be justified only if the labs were doing nothing aside from serving inference (thus reducing costs only to those relevant to inference) and posting annual revenue numbers in the $100-200 billion range assuming ~80% gross margin and a 20x earnings multiple.
This assumption is obviously not true, because the frontier labs have to continually spend money training the next generation of models. This is because of market competition from runner-up firms. For example, if OpenAI had paused model development last year, there would no longer be any point in paying GPT-5 API prices when you can just use Qwen or Kimi instead for much cheaper. Thus, the labs are forced to invest ever-increasing amounts of money in model training, in a way such that at any given point of time, the amount you're forced to invest in the next model is dramatically higher than the amount of money you're actually making, because even if your revenue goes up with higher model capabilities, so do your future training costs. This is a profoundly punishing dynamic which severely penalizes frontrunners.
(There is also a related subpoint where frontier labs claim they can distill their leading models to win out at lower intelligence levels as well. This makes no sense because the revenue numbers involved are far too low when taking into consideration the rather low margin of such inference.)
Frontier lab valuations appear largely to be based on the assumption that as you scale up, the capabilities which emerge will be sufficiently general and profound that we'll see explosive growth (epoch.ai/publications/explos…) from things akin to AI agents starting and autonomously managing entire companies of subagents. But it's not clear to me that this is the case; indeed, as I mentioned in my previous post (xitter.gq/andrewho03/status/2082…), I believe that capabilities growth will be slower, spikier, and more data-limited than people currently assume. It may be the case that eventually we will see explosive growth of this nature with full automation of the economy, but at the very least my viewpoint implies much longer (multi-decade) timelines until we reach this point. It is not clear to me that the frontier labs will be able to operate unprofitably for so long, although I suppose maybe this foreshadows some sort of inevitable nationalization.
I also want to make a broader point about technological diffusion. The reason why technological diffusion is slow isn't just because, e.g., old people take a long time to learn how to use technology (although this is of course a contributing factor to some degree). In my view, it's because when a new, revolutionary technology comes along, the ways to incorporate that technology into subsequent developments are not always obvious, and in fact they cannot necessarily be arrived at through the application of pure reason. If they could be, then perhaps frontier models, at a certain point, would have a perfect understanding of how the LLM application layer should be developed, and they would then autonomously code, deploy, and sell such a layer.
But it seems more plausible to me that this diffusion is limited moreso by the hard problem of economic calculation--that is to say, the Hayekian notion through which the price system gradually promotes efficient allocation of resources and which cannot be simulated through central planning--and that even if we froze current capability levels at today's levels, it would take well over two decades to fully integrate in LLMs into our lives. Such a view is consequently rather bearish for the continued profitability of labs as it reduces their prospects for finding, say, something else comparable in profitability to coding agents, which seems to have been a somewhat lucky discovery by Anthropic to begin with. That is to say, even if you spam FDEs you aren't necessarily going to be able to just figure out the "correct" product shapes fast enough.
Overall, I don't think that people have clearly reasoned through their mental models for why lab equity should be worth as much as it currently is, and that if you actually bother to write down such a model, you may not arrive at the conclusion that you want to arrive at. This isn't to say that I don't expect AI to experience a huge (industry-wide) boom in the coming decades, but just that I'm not entirely sure I would buy OpenAI or Anthropic stock at latest valuations if I were given the opportunity to do so.
Of course, as an ex-lab employee, arguably this is talking against my own book; I should really be giving people more reasons to be bullish. But in the end, my influence is so small that it doesn't make a difference, so why not have some fun?
New blog post on what would be true about the world if trendline continues and leading lab hits $1T in revenue by the end of next year.
In other words, why compute might get 10x+ more expensive in coming years
dwarkesh.com/p/why-compute-m…
andrey retweeted
VC on a podcast: connection was immediate over dinner it was like love on first sight
Founder’s company in the meantime: 100mm ARR growing 50% month over month
andrey retweeted
The need and opportunity for professional services and FDEs to deploy agents right now is massive.
Every tech wave offers a new era of consulting and tech services requirements. Moving from analog to digital led to a massive wave in the 90s. Moving from on-prem to cloud did the same in the 2000s. But this is going to be at a scale far greater than the others.
The reason is that agents fundamentally change the underlying workflows of an organization. Unlike most prior eras of technology, where it was a change in medium of the service being delivered (on-prem CRM to cloud CRM), agents rewire the business process itself. And unlike upgrading a tech system, business processes are full of idiosyncrasies.
Every industry will have its own variants, and every department within those industries will have variants as well. Not to mention the bespoke difference between firms. Bringing agents to marketing in CPG will look different from marketing in healthcare. Bringing agents to sales in a B2B software company will look different from a car dealership.
And none of the change is easy technically. You need to first modernize your infrastructure and data and make sure it’s ready for agents; access controls, entitlements, and permissions need to be mapped in a way that works for agents and people; you need to make sure agents have the right context to work with; you need to consistently eval and maintain the agents when there are model upgrades; and you need to drive the change management of the process itself to figure out which parts the people do and what agents do.
That’s an insane amount of technical and domain-specific process work to be done to make this all happen. Huge opportunity for new service providers, as well as internally teams and roles to emerge, to help drive this change.
Today we’re launching the OpenAI Deployment Company to help businesses build and deploy AI.
It's majority-owned and controlled by OpenAI. It brings together 19 leading investment firms, consultancies, and system integrators to help organizations deploy frontier AI to production for business impact. openai.com/index/openai-laun…
andrey retweeted
our team was doing 4500 production deployments a day. then we found out what a CMS is
andrey retweeted
Personal update: I've joined Anthropic. I think the next few years at the frontier of LLMs will be especially formative. I am very excited to join the team here and get back to R&D. I remain deeply passionate about education and plan to resume my work on it in time.
andrey retweeted
A list of surprising and mind-boggling stats from this conversation:
- NDR is over 500% on an annualized basis
- Anthropic's first dollar of revenue came in March of 2023
- Over 90% of code inside Anthropic is written by Claude Code
- The head of tax is the heaviest token user on the finance team
- Run rate revenue went from $9B to $30B in one quarter (reportedly, on pace for $50B by end of next month)
- Cowork is growing faster than Claude Code did at the same point in its life
- Signed two double-digit million-dollar commits in a 20-minute Uber ride to the podcast
- Krishna spends 30-40% of his time on compute decisions
- 9 of the Fortune 10 are customers
- $100B combined commitment of compute
- 30 different product and feature releases in January alone
- A prior model found 22 security vulnerabilities in an open source codebase; Mythos found 250
- The finance team has built a library of over 70 Claude skills specific to finance
- Anthropic raised $75 billion since Krishna joined two years ago
- The day of the Series E first close was the day the DeepSeek news broke
- When Meta and others made huge poaching offers, Anthropic lost two people on the technical side while other labs lost dozens
- All seven co-founders are still at the company
- The company is just over five years old
Krishna Rao is the CFO of Anthropic, and this is his first podcast appearance.
He joined the company two years ago when run-rate revenue was about $250M. Today it is $30B. He has helped raise ~$75B and is responsible for the procurement and allocation of compute.
I feel lucky we get to hear what it is like to sit inside a company this consequential at a moment this pivotal.
We discuss:
- The cone of uncertainty
- How he allocates compute across Trainium, TPUs, and GPUs
- What investors misunderstand about model companies
- Why the returns to frontier intelligence keep rising
- Platform vs application and where Anthropic builds its own products
- How Anthropic uses Claude internally
I have asked my closing question about the kindest thing more than 500 times. Krishna's answer is one I have never heard before.
Enjoy!
Timestamps:
0:00 Intro
2:38 The Compute Canvas
6:51 The "Cone of Uncertainty"
11:58 Why the Returns to Frontier Intelligence Are So High
16:45 Recursive Self-Improvement
20:20 Scaling Laws
23:30 Sourcing $100 Billion in Compute
28:05 Platform vs. Application Strategy
32:52 Pricing Dynamics
38:48 How Anthropic’s Finance Team Uses Claude
43:24 Raising Capital & Overcoming Investor Skepticism
52:32 Public Perception, Risks, and Government Regulation
57:25 Mythos Release
1:12:33 What Could Derail the AI Revolution?
1:13:47 Biotech and Healthcare
1:15:31 The Kindest Thing








































