Chamath Palihapitiya

@phact32 Why become a founder ceo at 48 vs sit comfortably from the board?Why pitch and raise from funds vs fund it myself? Because the only path to convincing brilliant people to work with you is for them to see you walk the hard path. You cannot ask them to do what you are unwilling to do…

We raised a $135M Series A! 8090’s Series A was led by Salesforce Ventures and joined by WNDR, Craft Ventures, The Production Board, and LAUNCH. We also had the support of a group of esteemed angels including Nikesh Arora, Cliff Robbins, Adam D’Angelo, Shyam Ravindran, Abhi Arun, and Thomas Laffont. We’re grateful for their support. It validates 8090’s mission and traction so far, but mostly it accelerates the work ahead. The capital will go to two places. The first is hiring more people, because the demand we have is accelerating rapidly. The second is investing in the compute and infrastructure needed to keep delivering our solutions at…

On 8090's go to market: We could have sold into easier, forgiving customers and posted a nice logo wall. Instead, we did the opposite. We went straight at the hardest, most regulated buyers we could find: healthcare, insurance, life sciences, aerospace, energy, manufacturing, financial services, and the United States government. The logic was simple. If AI can be trusted to do mission-critical work inside the industries with the least tolerance for error and the most oversight, it can be trusted with serious work anywhere. Some recent 8090 wins: - A publicly traded insurer ran a workflow its existing systems could never accommodate and t…

California’s Property Seizure Act - called “The Billionaire Tax” to fool voters is now on the ballot. @HooverInst has a short 4min video breaking it down. https://t.co/A7jqSTnbcH You should vote for this if you are comfortable handing over 5%, in cash, of all your tangible and intangible property every year. You should vote no if you don’t want to do that. If it passes, the remaining Billionaires will sue. This will take a decade to meander through the courts and will find its way to the Supreme Court where the odds it survives are low. But in that intervening decade, far fewer business builders will want to bet on California and will foc…

I am pretty convinced that there will be a path for distributed AI inference and this will create a novel way for folks who may not otherwise be in the AI economy to make money from it.

Productivity growth, not taxation, has been the most proven way to fix inequality and poverty. https://t.co/3s6HMZ6VZS

Deep Dive: Curing Aging At the Cellular Level

The top technology entrepreneurs of our generation are investing billions into reversing aging. Each is betting that the best way to reverse aging is with cellular reprogramming: the process of resetting cells without changing their identity. The theory is that aging is partly driven by changes in how cells read and use their DNA, so resetting those instructions could restore function across many tissues at once rather than treating one age-related disease at a time. But there are significant risks with this approach. Most cells in the human body are specialized. They have specific jobs: skin cells, muscle cells, and neurons, for example.…

Yup

rarely do this anymore but i did an interview...thanks dan primack and axios.

I believe this 💯. AI is the greatest economic leveler of our lifetime. It can usher true and real equality. https://t.co/mcmX35MIXL

Software Factory growth has been incredible. But one complaint has been that we haven’t included a free trial - this was not meaningful for large enterprises but it did impact the viability for smaller companies and teams to try it before committing. We have a free trial now. Please try it and let us know what you think: https://t.co/fkfTXgdfXK

At a very hi level, free cashflow = operating cash flow - capex. The hyperscalers are deep into an investment cycle so they are consuming their operating cash flow. It is incorrect to look at this and assume their FCF has collapsed because operating cash flow has collapsed. It hasn't. Capex has exploded. This cycle should be eerily reminiscent of Amazon's approach over the past 20 years when they did the same thing related to e-commerce and AWS buildout. The question should be what moat did Amazon create at the end of that cycle and what kind of moat could the hyperscalers build now related to AI after this cycle?

Notes from liquidity:

Companies should own their "edge". One way to do this is to use Software Factory to capture the expert and tribal knowledge that differentiates your company. When you capture this knowledge into Software Factory, you can build software from it and keep it as the north star that shapes behavior. This is what the best companies in the world do and now its available to everyone. Change the knowledge and the software and actions change automatically. Change the behavior and you get redlines to the knowledge so you can approve exceptions and understand why deviations are happening. This is one way how AI can be used productively for everyone. …

From 2011-2018, I was an institutional investor, managing my own capital alongside capital from some exceptional Limited Partners. Even though I don’t manage outside capital any more, every quarter I still get on the phone with these LPs and update them. I had the tremendous honor of working on behalf of some amazing institutions like Mayo Clinic and Memorial Sloan Kettering. It’s great to keep making money for people like that. PS - only DPI matters. Everything else is bullshit.

Do you think vibing the UI of Google search would even scratch the surface of helping you understand the complexity that sits beneath it?? For what important app would vibe coding a simulation help? Just seems like yet another case of busy work masquerading as tokenmaxxing.

All In #14 in America, All Categories. https://t.co/H5hTsu7Ves #11 yesterday. https://t.co/AMUKPxcEln

Doomers have been wrong betting against human progress, productivity growth and screaming of job apocalypses of all kinds since time immemorial. This time is no different. Well, actually the only difference this time around is that a portion of the Doomers are also some of the people making the progress in the first place which is very odd.

The new status is no symbol.

There are many “simple” features that are more complicated than they look on the surface because of a cascade of dependencies. For complex, enterprise systems, this is true of most features. 8090’s Software Factory is built to handle this flawlessly. We first help write requirements, expand and frame dependencies and then execute with a more global knowledge of the problem. You can learn more here: https://t.co/fkfTXgdfXK Also, I’m completely in love with our visual system. 😍

Deep Dive: The Federal Reserve Explained

Newly confirmed Fed Chair Kevin Warsh chaired his first FOMC meeting this week. In his first decision as Chair, Warsh held the benchmark rate at 3.5–3.75% in a unanimous vote, but the Fed’s own projections now show nearly half the committee expecting a hike before year-end, as seen in the chart below. Warsh abstained from submitting a dot, signaling a potential change to the future Summary of Economic Projections (SEP). Understanding why any of this matters starts with understanding how the Federal Reserve actually works. You probably have a vague sense of what the Fed does. They raise and lower rates. They focus on employment. But most …

This is an excellent essay in the NYT that highlights the unresolved question of why the makers of AI constantly whine and cry that the world will come to an end because of AI. Hint: it won’t. https://t.co/gRxs5CWCyU

The honor of my working life thus far had been the team I recruited and led at Meta - three of them who are still there and have risen to become COO, CMO, CXO. That is until now. This is the best team I’ve ever recruited. Based. Cracked. Humble. Wicked smart. Honorable. Much of the team start as interns and then graduate into an MTS after several arduous terms auditioning. But some, like Sai, we snipe from outside because his specific expertise is rare and hard to find. All are equals. All are excellent. Please consider working with us if you like what you hear. https://t.co/0syoXMLbxo

It may be overfit so it’s a bit early to declare any sort of victory but it is really good to see open-weight models catch up to the closed source labs so quickly after their latest releases. With recursive RL, the delta in time between a closed source model and an equivalent open weight (and ideally open source) model will shrink considerably over the next few years. Without distinct data sets to train over and specifically narrow use cases to build expertise on, convergence seems at hand for this class of model architecture.

Come check out 8090’s Software Factory - the emerging control plane for enterprises.

Regulatory capture at its finest. Who won? Politics. Who lost? Our kids.

$60Billion. This is the first, but not the last, big exit at the application layer of AI. As product value accrues and accelerates upwards, the focus over the next few years will be firmly on the “control plane”: What gives organizations who want to go all in on AI the governance, control, auditability and business continuity across models and across time that they will need to firmly make the leap. This is the next big phase of AI value creation that the SpaceX/Cursor merger is highlighting.

Good POV from Katie…

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