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https://nitter.cf/t.co/A9eTFq6Xbx https://nitter.cf/t.co/3RHK5vqQo7 Posts are not investment advice or an advertisement for investment services. See https://nitter.cf/t.co/nX2FtaLE06.

It's time to build.
Joined August 2009
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Introducing Cosign. cosign.co
Excited to introduce @Cosign: the curated professional network for the startup community: cosign.co Our goal is to create the following: - A comprehensive startup directory of investors, companies, and operators, including what they worked on and who they worked on it with. - Cosign graph: Who shaped your career? Who were you actually in the trenches with? Who would work with you again? Who thinks you’re someone to watch? - Durable reputation: Great endorsements happen every day on X and disappear into the feed. Cosign attaches those signals permanently to people and companies. - Discovery: Who are the best fintech angels? Which AI companies should I watch? Who are the best designers? - Intent network: Privately signal “I’d invest in them,” “I’d hire them,” “I’d work with them,” or eventually even “I’d acquire this company.” Match people when interest exists on both sides. Imagine if Wikipedia, LinkedIn, and OG AngelList had a baby. Though Cosign is a community, not a business. In order to join, you need to be cosigned. Or you can apply directly. David Booth and I started this idea 7 years ago but didn’t have the firepower to make it work. Now we do. No one has really touched LinkedIn in 20 years. Excited to take a swing. cosign.co
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Companies using AI now spend an average of $1,024 per employee on it Nearly 2x what they spent last year Charts of the Week: a16z.news/p/charts-of-the-we…
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The "Rack Spread" is unfolding, token prices are falling while GPU prices climb Change since mid-July: - B300 GPU rentals up 106% - B200 up 66% - H100 up 17% - Average token prices down 58% Charts of the Week: a16z.news/p/charts-of-the-we…
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When prediction market volumes exploded during the Nov 2024 election, I remember being as worried as everyone else that they'd fall off a cliff. But markets are one of the most powerful technologies in the world, and Tarek and Luana have understood since the beginning that consequential events happen every day. Fast forward to today, Kalshi’s $40b announcement won’t do much for brand awareness. Everyone knows the name. Fewer people know how much the business has expanded into non-sports, institutional, and perps. No celebration at Kalshi HQ today, but congrats on the milestone @mansourtarek_ @luanalopeslara @Kalshi. Proud to be your partners on this journey.
Kalshi just raised an additional $1B, valuing the company at $40B. This will help us expand into stocks, compute, indices, and institutional. Tomorrow marks 8 years since we got accepted into YC and the journey began. The odds of a kid from Lebanon getting here were pretty low. Growing up there was great, but very challenging. We went through war. We had bombs explode in front of my house. I watched brilliant people’s lives destroyed for reasons beyond their control. Lebanon is an unpredictable country. That unpredictability made it hard to plan for success. And yet despite it all, my mom sacrificed everything to give me and my brother the chance to go back to the US. I found my refuge in two things: anime and math. Especially math. I loved math because it calmed me. It was the opposite of unpredictable: clear, deterministic, orderly, and consistent. The proof is either right or wrong. I find that elegant and beautiful. I was lucky. I made it to my dream school, MIT (largely thanks to my mom), and my love for math quickly translated to a love for statistics, probability, and markets. I love markets for a lot of the same reasons. Their incentives are clear: you get rewarded for being right and for pursuing knowledge. They are effective weighting machines for people’s opinions. They provide an incentive to be truthful, because they separate good information from bad information. They let people challenge the consensus and be rewarded for being right. IMO, Hayek, Surowiecki, Hanson, Tetlock were the founding fathers of prediction markets. The more I read them, the more obsessed I got with the idea of applying market-based pricing to more things. Markets bring rigor and critical thinking to more questions. And in an increasingly polarized and information-positioned word, I believe we need that more than ever. Markets would also let people predict and manage more things outside of their control. And the world was becoming increasingly more unpredictable, and more like Lebanon, not less. That love for markets got Luana and me to build Kalshi. At first, it was mostly an idea we couldn’t stop talking about. We didn’t have much money. Luana’s sister bought the Kalshi domain name for us (for ~$1.7k). We moved to SF to get started, and embarked on a long, uncertain journey to build a regulated exchange. The paranoia and anxiety from my childhood never left me. Even when things are going well, I think about what could go wrong. When people trust you with their money, that instinct serves a purpose. I wanted us to build something that would hold up under pressure. The first principle we defined at the company: regulatory-first. We worked with regulators for years before we listed a single market. We took every step to do things the right way and always asked for approval before proceeding. It was very hard at times, especially when we were being overtaken by competitors, but we believe doing things the right way matters. Luana and I aren’t the only ones. Our team put years of their lives into something far from certain. That’s especially true of Lior, Brandon, Rainer, Luis, Xavier, and Josef, who stuck with us for years. They believed when there was little to point to. And they stuck with us no matter how long it took. Kalshi is the result of an arduous journey through a long desert where, at times, most people didn’t understand why we were making the walk. Many people still don’t understand what we’re doing and some disagree with us. Markets have historically taken time to be understood and accepted by some. But while not always obvious, their benefits are vast: capital markets help allocate capital and derivative markets help predict and manage uncertainty. I firmly believe in these benefits, and that’s why I am dedicating my life to building this market. Markets have caused issues many times in the past, and they certainly can present harms (manipulation, insiders, and addictive behaviors). These harms are more acute for certain types of markets (sports, short-term options, etc.) than others. It’s why I believe that guardrails need to exist and why we have taken the approach we have taken. We have consistently prioritized thinking critically about the risks and building the appropriate safeguards, sometimes beyond what the regulators require us to do. Many believe more needs to be done, and that’s a conversation I welcome. Over time, I believe more people will see what we see: markets can help us get smarter and manage the future with more rigor, more precision, and more certainty than we have today. To our tens of millions of users: you have made Kalshi bigger than anything Luana and I could have possibly imagined. Thank you for trusting us and thank you for coming along on the journey. I feel a strong responsibility to build a company worthy of that trust. I am so lucky to spend my life building something I love. I hope everyone finds something they care about that much. Something that keeps you curious. Something that pushes you to your limits. Something that may put you at odds with the status quo. Something worth the hard days. For me, it’s still markets. The more I learn, the more I want to understand.
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Eve co-founder and CEO Jayanth Madheswaran says lawyers are starting to work like data scientists and engineers, and one firm used AI to handle 5x more clients per attorney: "One firm in LA went from managing about 100 clients per attorney to 500. That is a type of thing that is possible. And to their credit, they worked really hard to achieve this." "They utilized Eve up to the max, all the way from intake, fielding the call, doing qualification, automatically removing all the relay problem that they have of passing things from one attorney to another, to a case manager. All that is now handled within agents in Eve, all the way to settlement." "That is what the future looks like. It's truly moving the case forward continuously, and you're helping making it do a better job than it could do by itself." "That is, I think, the future of law, where you as a lawyer are really going to look more like almost a data scientist and engineer, engineering something to be better and better. And that is a shift the top law firms on Eve mentally kind of go through." @jayanthmadhesw1
If a case won't earn a lawyer at least $5,000 in fees, most won't take it. AI is starting to change that math. Eve co-founder and CEO Jay Madheswaran joins a16z's Alex Rampell to explain how AI can automate plaintiff law from the first client call through settlement, and how one firm used Eve to go from about 100 clients per attorney to 500. They also discuss why legal software is secretly a labor market, why a single case can take 10,000 back-and-forths, why agents may soon negotiate with other agents, and what happens to the legal system when filing a case gets dramatically cheaper. 0:51 Plaintiff law vs. Big Law 3:50 Why lawyers won't take a small case 8:42 How AI grows a law firm's revenue 13:57 From 100 to 500 clients per attorney 15:53 Legal software's hidden labor market 20:25 Why Eve beats raw AI models 27:00 When both sides have AI 29:13 What's left for human lawyers 33:01 A lawsuit filed by AI in 4 hours 35:15 Can a small firm hit $1B in revenue? 39:16 Law's shift to outcome pricing 46:08 10,000 touches in one case 49:37 How AI beat the Thanksgiving trick YouTube: youtu.be/iRMmPjunm3Q @jayanthmadhesw1 @arampell
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The AI jobs panic peaked in May and has faded fast since: - News reports on AI job loss are down ~65%, back to year-ago levels - Layoff announcements that cite AI are down ~90%, near the lowest of the year Charts of the Week: a16z.news/p/charts-of-the-we…
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Eve co-founder and CEO Jayanth Madheswaran says law firms are going to look more like software companies, with proprietary data as their edge: "I think the transformation that's going to happen is a lot of these law firms are going to look more like software companies. I think they're going to finally participate in the software revolution that's been happening for the last 30 years they've been left out of." "Let's say you have a $25,000 settlement. The attorney gets maybe a third of that, let's call it $8,000 for simplicity. And of that $8,000, about half of it goes towards labor spend, 30% goes to marketing, and the rest maybe is profit." "That's kind of the business as it exists today. Because of that business, it is so difficult to reinvest back into servicing your next client better. The only way you can really do that is by hiring a better attorney today." "What changes is now they can actually accrue a database and data set that is unique to them that gets them results that is better than their competitors for a subset of law." @jayanthmadhesw1
If a case won't earn a lawyer at least $5,000 in fees, most won't take it. AI is starting to change that math. Eve co-founder and CEO Jay Madheswaran joins a16z's Alex Rampell to explain how AI can automate plaintiff law from the first client call through settlement, and how one firm used Eve to go from about 100 clients per attorney to 500. They also discuss why legal software is secretly a labor market, why a single case can take 10,000 back-and-forths, why agents may soon negotiate with other agents, and what happens to the legal system when filing a case gets dramatically cheaper. 0:51 Plaintiff law vs. Big Law 3:50 Why lawyers won't take a small case 8:42 How AI grows a law firm's revenue 13:57 From 100 to 500 clients per attorney 15:53 Legal software's hidden labor market 20:25 Why Eve beats raw AI models 27:00 When both sides have AI 29:13 What's left for human lawyers 33:01 A lawsuit filed by AI in 4 hours 35:15 Can a small firm hit $1B in revenue? 39:16 Law's shift to outcome pricing 46:08 10,000 touches in one case 49:37 How AI beat the Thanksgiving trick YouTube: youtu.be/iRMmPjunm3Q @jayanthmadhesw1 @arampell
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If a case won't earn a lawyer at least $5,000 in fees, most won't take it. AI is starting to change that math. Eve co-founder and CEO Jay Madheswaran joins a16z's Alex Rampell to explain how AI can automate plaintiff law from the first client call through settlement, and how one firm used Eve to go from about 100 clients per attorney to 500. They also discuss why legal software is secretly a labor market, why a single case can take 10,000 back-and-forths, why agents may soon negotiate with other agents, and what happens to the legal system when filing a case gets dramatically cheaper. 0:51 Plaintiff law vs. Big Law 3:50 Why lawyers won't take a small case 8:42 How AI grows a law firm's revenue 13:57 From 100 to 500 clients per attorney 15:53 Legal software's hidden labor market 20:25 Why Eve beats raw AI models 27:00 When both sides have AI 29:13 What's left for human lawyers 33:01 A lawsuit filed by AI in 4 hours 35:15 Can a small firm hit $1B in revenue? 39:16 Law's shift to outcome pricing 46:08 10,000 touches in one case 49:37 How AI beat the Thanksgiving trick YouTube: youtu.be/iRMmPjunm3Q @jayanthmadhesw1 @arampell
Huge milestone: Eve has helped 350,000 people take on a system built to wear them down. Take Mike Dickerson. A four-car pileup, two hip surgeries, then an insurer betting he’d take a lowball offer. He didn’t. His lawyers @GeigerGroup fought for years and, with Eve’s help, got him 15x the first offer. Firms on Eve have recovered $3.5B+ for their clients, and we’re just getting started. Next milestone: 1 million people helped.
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Chris Power of @HadrianInc says in wartime simulations, the US runs out of munitions in about a week, and it takes 2-3 years to restock: "Out of every war game we run, we run out of munitions and missiles, whatever, in like six to seven days. And then it takes about two to three years to refill that battery of, 'Hey, you now have more missiles to shoot.'" "Every single war basically, if it goes hot, both sides throw everything they've got at each other over a time period. And it's basically then if it gets protracted, how fast can you reconstitute?" "We shoot all our missiles in one week and then we have none for two years. That is how kind of terrible the situation is." "The only thing we can do is focus on, honestly, attritable systems, because if you kill a carrier and they've got that range, there's nothing we can do about it." "A lot of attritable mass... We basically blow everything in the seven days. We got to have the manufacturing battery to be able to refill the clip extremely fast." @2112Power (September 2025)
Production is Deterrence.
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Brian Schimpf of @AndurilTech on why industrial production is a deterrent in itself, and why technological superiority alone won't win a war: "These wars are protracted, they are industrial in scale, and if you were to bring it down to one variable, the amount of kilograms that you can throw at each other turns out to probably be the single most important factor." "I think the technical superiority is a huge advantage. We're not gonna just outproduce China on like dumb ammunition, right? Like that clearly we have to have an edge around our space capabilities, how we can sense, how we can confuse them, how sophisticated our weapons are." "But I think the part that got so clear outta Ukraine was that industrial production has a deterrence factor... it is critical for winning a conflict." "When most of the war games with China show that we'd be out of munitions in... like eight days, that's not a deterrence factor really anymore." "I think the belief for a long time was that [technological superiority] was sufficient, but a low number of really exquisite weapons is not gonna win a conflict." @SchimpfBrian (September 2025)
Production is Deterrence.
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a16z's Erin Price-Wright says factory technicians can now retool production lines with AI in 20 minutes, a job that used to take an outside integrator 3 months: "Historically, if you're setting up a line with a lot of automation, you really need to be producing a lot of one single thing. That's how you get the cost down, and how you justify investing in a pretty bespoke manufacturing line." "But what we're seeing across our portfolio is that manufacturing technicians themselves have the intuition, and now the software tools, to change the economics of producing low-volume, high-mix on the line." "A manufacturing technician, not necessarily someone with a college degree or who's studied software engineering, can now use these tools to reprogram and reconfigure their lines on the fly, because they understand the manufacturing process." "Instead of calling a systems integrator, which takes 3 months and hundreds of thousands of dollars to reconfigure a line, you can have a manufacturing engineer use Claude and do that in 20 minutes. That's been a real game changer." @espricewright
The American Dynamism 50 is a16z's annual list of companies building for America's future. This year's edition covers the industrial base end to end, from the inputs that come out of the ground to factories that make things and systems that deter conflict. a16z's Erin Price-Wright and Connor Love join Elena Burger to break down this year's list and its theme, Production is Deterrence, built around a simple idea: "You don't have a defense industrial base without an industrial base." 0:50 From mines to factories and systems 3:05 How the internet and nuclear was built 5:05 Drones built DJI into a robotics giant 6:50 Defense dollars pay for new factories 8:30 SpaceX and Tesla lessons on scale 10:15 How Mariana runs a mine on software 12:20 "AI cannot turn a wrench yet" 14:10 Retooling in 20 mins, not 3 months 17:45 Startups build before Pentagon asks 20:35 Why hard tech can be more valuable 24:45 The race for the biggest American flag 28:25 How defense parts unlock US robotics 32:05 The rise of the "manufacturing middle" 37:25 Anduril and SpaceX founder mafias 41:05 Private capital: USA's edge over China 46:30 The buildout must hit Middle America YouTube: youtu.be/cRJ7CfaK1Vc @espricewright @ConnorLoveCA @VirtualElena
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Eugenia Kuyda of @Wabi predicts that within a year, one of the biggest consumer AI platforms will be multiplayer, with real network effects: "Today most AI products are single player. And I would say that you could probably argue they don't have much of a moat. They don't necessarily have switching costs." "It was pretty easy to move between, say, Claude and ChatGPT, but at least they had some memory about me. With these single player agents, it's so easy to jump between them because all the context is in my Gmail." "I think in a year what we'll see is that one of the biggest consumer AI platforms will be multiplayer and will have network effects in it. Right now we just sort of agree that single player is the way to go for most AI products." "A year from now, I think we'll look back at it as more kind of the early innings, and the products that win  will have a lot of network effects and be focused on you talking to other people, not just AI." @ekuyda w/ @sophiadew on @MTSLive
Today, I’m excited to share that we’ve raised $55M in Series A funding at a $1.25B valuation, led by @IVP, with support from @a16z, @ForerunnerVC, and an incredible group of founders and investors including @Benioff, @tobi, @dickc, and @marissamayer. Everyone has an operating system for their phone. We’re building one for your life. Right now, life is scattered across apps, group chats, calendars, and tabs. You’re the one connecting the dots and keeping everyone on the same page. @wabi is a personal AI that helps you get your whole life organized. It brings your people, context, and apps together so you can coordinate plans, share the mental load, discover new things, and show up for each other. Because AI shouldn’t just help us get things done. It should help us do more of what we love, with the people we love. Join us 👇
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a16z's Connor Love says building for defense is how America builds for everything else, because once you can make the parts "to quality and to cost," new markets start to make sense: "When you build many systems, you also require many subsystems below that. There are really interesting military systems being built today. The corollary: by building towards defense, you also build for a different industry." "The subsystems that go into some of our military systems are the exact same subsystems that are going to go into the future robotic systems. It's the actuators, the motors, the valves and switches." "When you can build those to quality and to cost, then all of a sudden other markets that maybe weren't viable make sense... You're going to have this robotic wave that will come in America." "AI can't turn a wrench yet. They will eventually. And that will be enabled by all that, actuators and switches and subsystems that we built... And we're not going to have to rely on factories in China." "As you build an industrial base, an industrial base can be used for many things. Down to the component level, I just think we don’t have enough of it in America." @ConnorLoveCA @espricewright @VirtualElena
The American Dynamism 50 is a16z's annual list of companies building for America's future. This year's edition covers the industrial base end to end, from the inputs that come out of the ground to factories that make things and systems that deter conflict. a16z's Erin Price-Wright and Connor Love join Elena Burger to break down this year's list and its theme, Production is Deterrence, built around a simple idea: "You don't have a defense industrial base without an industrial base." 0:50 From mines to factories and systems 3:05 How the internet and nuclear was built 5:05 Drones built DJI into a robotics giant 6:50 Defense dollars pay for new factories 8:30 SpaceX and Tesla lessons on scale 10:15 How Mariana runs a mine on software 12:20 "AI cannot turn a wrench yet" 14:10 Retooling in 20 mins, not 3 months 17:45 Startups build before Pentagon asks 20:35 Why hard tech can be more valuable 24:45 The race for the biggest American flag 28:25 How defense parts unlock US robotics 32:05 The rise of the "manufacturing middle" 37:25 Anduril and SpaceX founder mafias 41:05 Private capital: USA's edge over China 46:30 The buildout must hit Middle America YouTube: youtu.be/cRJ7CfaK1Vc @espricewright @ConnorLoveCA @VirtualElena
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Today @arjunmathur_ and I are introducing Dream. We’re announcing $17M in seed funding from @a16z , @svangel , @xyz_vc , and @ziggcap. @dreamhq is developing a new class of models trained to reason about physical space: its geometry, its constraints, and the relationships between objects and the spaces that contain them. With these models, AI can make a real impact in the $13 trillion architecture, engineering, and construction (AEC) industry for the first time.
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a16z's Connor Love and Erin Price-Wright on what startups should take from SpaceX and Tesla, and when building it all yourself actually makes sense: Connor: "We can look to Elon for a lot of answers here. I mean, it's not a crazy statement to say really the few modern-day companies that have built anything at scale are probably SpaceX and Tesla. And if you look at how Elon and his team have built those businesses, it's been, one, very vertically integrated." "I take the ideology that you shouldn't vertically integrate everything. I mean, again, if you're building a super exquisite system like a missile that is doing something very unique, you kind of have to because you have to control the exquisiteness. You have to control the cost." Erin: "SpaceX and Tesla were doing first of their kind. There didn't exist an industrial base in the US to support them, and so they had to build it themselves. I think where there are high-quality suppliers, you should use suppliers." Connor: "In a lot of ways they had to make those choices because they didn't have any other opportunity. But in the end, it's actually just that mantra of design for manufacturing that now exists within all these systems companies." @ConnorLoveCA @espricewright
The American Dynamism 50 is a16z's annual list of companies building for America's future. This year's edition covers the industrial base end to end, from the inputs that come out of the ground to factories that make things and systems that deter conflict. a16z's Erin Price-Wright and Connor Love join Elena Burger to break down this year's list and its theme, Production is Deterrence, built around a simple idea: "You don't have a defense industrial base without an industrial base." 0:50 From mines to factories and systems 3:05 How the internet and nuclear was built 5:05 Drones built DJI into a robotics giant 6:50 Defense dollars pay for new factories 8:30 SpaceX and Tesla lessons on scale 10:15 How Mariana runs a mine on software 12:20 "AI cannot turn a wrench yet" 14:10 Retooling in 20 mins, not 3 months 17:45 Startups build before Pentagon asks 20:35 Why hard tech can be more valuable 24:45 The race for the biggest American flag 28:25 How defense parts unlock US robotics 32:05 The rise of the "manufacturing middle" 37:25 Anduril and SpaceX founder mafias 41:05 Private capital: USA's edge over China 46:30 The buildout must hit Middle America YouTube: youtu.be/cRJ7CfaK1Vc @espricewright @ConnorLoveCA @VirtualElena
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The American Dynamism 50 is a16z's annual list of companies building for America's future. This year's edition covers the industrial base end to end, from the inputs that come out of the ground to factories that make things and systems that deter conflict. a16z's Erin Price-Wright and Connor Love join Elena Burger to break down this year's list and its theme, Production is Deterrence, built around a simple idea: "You don't have a defense industrial base without an industrial base." 0:50 From mines to factories and systems 3:05 How the internet and nuclear was built 5:05 Drones built DJI into a robotics giant 6:50 Defense dollars pay for new factories 8:30 SpaceX and Tesla lessons on scale 10:15 How Mariana runs a mine on software 12:20 "AI cannot turn a wrench yet" 14:10 Retooling in 20 mins, not 3 months 17:45 Startups build before Pentagon asks 20:35 Why hard tech can be more valuable 24:45 The race for the biggest American flag 28:25 How defense parts unlock US robotics 32:05 The rise of the "manufacturing middle" 37:25 Anduril and SpaceX founder mafias 41:05 Private capital: USA's edge over China 46:30 The buildout must hit Middle America YouTube: youtu.be/cRJ7CfaK1Vc @espricewright @ConnorLoveCA @VirtualElena
The 2026 American Dynamism 50 is here: our annual list of 50 companies, from within the a16z portfolio and beyond, building for America's future. This year's theme is Production is Deterrence. "America's ability to prevent conflict depends on what it can build, how fast it can deliver, and how long it can keep going." A new generation of defense companies is moving from prototypes to full-scale production, and the industrial base has to keep pace. This year's list is organized around three pillars: 1. Systems: the drones, ships, missiles, aircraft, and spacecraft that deter conflict. 2. Factories: the plants, tools, and software that build them. 3. Inputs: the materials and power they're made of and run on. Get all three right, and the impact reaches well beyond defense, to skilled jobs, revitalized communities, and the supply chains behind energy, housing, and everyday goods. Meet all 50: a16z.news/p/ad-50-2026-produ…
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The 2026 American Dynamism 50 is here: our annual list of 50 companies, from within the a16z portfolio and beyond, building for America's future. This year's theme is Production is Deterrence. "America's ability to prevent conflict depends on what it can build, how fast it can deliver, and how long it can keep going." A new generation of defense companies is moving from prototypes to full-scale production, and the industrial base has to keep pace. This year's list is organized around three pillars: 1. Systems: the drones, ships, missiles, aircraft, and spacecraft that deter conflict. 2. Factories: the plants, tools, and software that build them. 3. Inputs: the materials and power they're made of and run on. Get all three right, and the impact reaches well beyond defense, to skilled jobs, revitalized communities, and the supply chains behind energy, housing, and everyday goods. Meet all 50: a16z.news/p/ad-50-2026-produ…
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Mark Cuban's rule for the AI-era workforce: "People who know how to use AI replace the jobs of people who don't know how to use AI." "[Healthcare] looks the same as any other industry. You have to still hire entry-level people." "No matter what the model is, the minute it's released, it's behind. There's latency associated with every model." "You need people who are aware of everything that's going on, that create context and deal with the models, be the human in the loop, understand the consequences." "You need those people to grow with the organization over time so that as all these things change, they've seen the history of the implementation, and they can bring value to the organization." @mcuban @julesyoo @eriktorenberg
Mark Cuban scaled Cost Plus Drugs from about 100 generics to roughly 4,000 at a flat 15% markup, forcing incumbents to change prices in ways decades of policy never did. He thinks AI could transform healthcare, but it won't fix opaque prices and broken incentives on its own. Mark sits down with a16z's Julie Yoo and Erik Torenberg to discuss what he's learned building Cost Plus Drugs, why trust is its core product, and how greater transparency could put pressure on healthcare costs. They also explore why drugs designed for your DNA could cost close to nothing, the football field-sized drug plant his team shrank into tractor trailer-sized pods, his plan to make generics in Dallas for less than he pays manufacturers in India, and why every company will either be great at AI or go out of business. 0:50 Cost Plus beat decades of policy 3:15 111 generics to 4,000 drugs 5:00 A drug plant shrunk to 5K sq ft 5:55 $20M drug factories in a trailer 8:10 Hospital deals with zero denials 9:50 Why health plans are rigged 14:05 1,335 pages no human can check 18:35 "Where are they f**king me over?" 22:45 Making drugs cheaper than India 26:50 Why you still need entry-level hires 31:45 Nonprofit hospitals must offer aid 35:55 DNA-matched drugs for near $0 39:30 Why AI will mean more doctors 48:00 Mark's plan: "bye bye insurers" 52:25 Why AI labs' ads are useless 56:35 Get good at AI or go out of business YouTube: youtu.be/5UWDUD6qaM4 @mcuban @julesyoo @eriktorenberg
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Security testing is moving from a yearly checkup to always on 18% of CISOs run most of their offensive testing continuously today, 52% expect to within a year They also want AI to close the loop, 70% would use it to retest and confirm their fixes actually worked From a16z's @OwenColby and @steph_zhang, breaking down a survey of 100 CISOs at companies with 1,000+ employees: a16z.news/p/the-new-security…
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AI is already running across the enterprise, and securing it is now one of CISOs' biggest concerns Already in production at their companies: - Employee generative AI tools (92%) - AI coding assistants or agents (83%) - MCPs or agent-to-app integrations (55%) - Autonomous agents with tool access or write permissions (34%) Their biggest concerns: - AI attacks outpacing their team (55%) - Employees leaking data into AI tools (47%) - AI agents exceeding permissions or getting compromised (46%) From a16z's @OwenColby and @steph_zhang, breaking down a survey of 100 CISOs at companies with 1,000+ employees: a16z.news/p/the-new-security…
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Mark Cuban's advice for young people boils down to "there's gonna be two types of companies: those who are great at AI and those who have gone out of business." "And then there's two types of people in how they use AI: those who use AI to learn anything, and those who use AI so they don't have to learn anything." "And if you're one of those people who uses AI so that you can learn anything, and you realize what type of companies and problems aren't being solved by AI, don't be shy to just talk to your AI." "And I say this not just to kids, but to 50 60, 70-year-old entrepreneurs. The biggest challenge right now with entrepreneurs using AI is the comfort level of talking to your AI... there's still a lot of hesitancy." "Just like back in the day, those first spreadsheets, people still had their 10-key adding machine, and they would check it to make sure the spreadsheets were right." "So when you ask me, is there one thing I truly believe, it's everything. Everything will change. This is the greatest transitional technology we have ever seen, and I've been around for all of them, right? This blows them all away." @mcuban @julesyoo @eriktorenberg
Mark Cuban scaled Cost Plus Drugs from about 100 generics to roughly 4,000 at a flat 15% markup, forcing incumbents to change prices in ways decades of policy never did. He thinks AI could transform healthcare, but it won't fix opaque prices and broken incentives on its own. Mark sits down with a16z's Julie Yoo and Erik Torenberg to discuss what he's learned building Cost Plus Drugs, why trust is its core product, and how greater transparency could put pressure on healthcare costs. They also explore why drugs designed for your DNA could cost close to nothing, the football field-sized drug plant his team shrank into tractor trailer-sized pods, his plan to make generics in Dallas for less than he pays manufacturers in India, and why every company will either be great at AI or go out of business. 0:50 Cost Plus beat decades of policy 3:15 111 generics to 4,000 drugs 5:00 A drug plant shrunk to 5K sq ft 5:55 $20M drug factories in a trailer 8:10 Hospital deals with zero denials 9:50 Why health plans are rigged 14:05 1,335 pages no human can check 18:35 "Where are they f**king me over?" 22:45 Making drugs cheaper than India 26:50 Why you still need entry-level hires 31:45 Nonprofit hospitals must offer aid 35:55 DNA-matched drugs for near $0 39:30 Why AI will mean more doctors 48:00 Mark's plan: "bye bye insurers" 52:25 Why AI labs' ads are useless 56:35 Get good at AI or go out of business YouTube: youtu.be/5UWDUD6qaM4 @mcuban @julesyoo @eriktorenberg
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