💥 Introducing Warp Sciences, a new company applying AI and robotics to help the world develop new medicines faster. We’ve raised a $215M Series A led by @lightspeedvp to bring frontier AI out of the browser and into the lab, and build scientific capacity here in America. I co-founded Warp with my long-time friend @dpatil, FAIR co-founder @manohar_paluri, and drug hunter Sol Reisberg. The early team is full of incredible people like @bkspears9, who helped achieve Q>1 fusion at LLNL.

Imagine having 350+ days of comfortable weather every year.

New @ThePeelPod with @bznotes! Bilal's spent 18 years investing hard tech, most of it as a GP at Lux ($7B AUM), before starting @RedGlassVC in 2025 to bet on AI that touches the physical world. Bilal was making defense tech investments 15 years ago, and he led the Series A in Applied Intuition, now a $15 billion company. We hung out for a few hours and he shared everything he's learned investing in hardware, why hardware is still hard, why the deployment layer is the most attractive area of physical AI, taking a 90% pay cut to start Red Glass, "AUM as a moat", how to become a billionaire off management fees, and why consensus investing is mostly a circle jerk. Full episode here + links below Timestamps 0:00 Leaving $7B to bet on physical AI 0:51 What most people get wrong in physical AI 4:17 Why a startup has to become a business 11:31 Hardware is still hard, so what changed? 15:40 How government went from SBIR mills to real customer 17:48 Robotics goes from hard-coded to probabilistic 23:34 Where value accrues: full stack, then wedges 25:24 How Applied Intuition became a $15B company 28:03 The deployment layer is the real prize 32:22 OpenAI and Anthropic hint what will happen in physical AI 36:14 Why customers have all the downside 37:56 The best founders paint a picture and execute 40:53 Why it's called Red Glass (founders chew glass) 42:17 Every founder hates fundraising, even Travis 44:29 Red Glass's four core values 50:49 Why founders really take your call (the $250k effect) 53:28 What Bilal looks for in a founder 58:44 Why technical founders underrate fundraising 1:00:26 The Tiger Global era 1:04:02 From $10B to $100B, the goalposts moved 1:06:21 Is this a bubble? Portfolio construction 1:08:55 Building a firm that outlasts him 1:12:13 From Nobel-lab chemist to Zero-to-One investor 1:13:45 Are small funds just outsourced associates? 1:16:35 When AUM becomes the moat 1:18:34 How big funds choke off SPV money 1:21:24 The risk of VCs backing competitors 1:23:31 Why fund economics push everyone bigger 1:26:20 Consensus investing is a circle jerk 1:29:51 You can be a billionaire on fees alone 1:33:09 Equal carry and the right to win 1:35:55 Why good ethics in VC matter

We are introducing Beam today, a 500b open model that excels in coding, agentic, and scientific workloads. Beam is very token-efficient, pre-trained from scratch, and scaled with the largest RL run documented openly we are aware of. Getting here was challenging, rewarding, and personal. I immigrated to the USA during childhood when my parents got jobs as scientists at PNNL, a national lab located in a rural town in Washington state. Growing up, I developed an interest in physics because it was grounded in simple principles, was foundational, and had long-term impact. Physics was the foundational science of the 20th century. The first general computer (ENIAC), the transistor, GPS, and much of modern technology had its roots in physics. In 2016, during my graduate studies, I noticed the birth of a new foundational science - Artificial Intelligence. AlphaGo, the superintelligent Go agent developed by DeepMind, had come out and made me feel what was about to come. A neural network, trained to imitate human players, and then improve itself through trial and error, mastered the most intellectually challenging board game in the world. What surprised me about AlphaGo is how it was conceptually simple, general, and scalable. The system could in principle improve itself forever, it was just a function of compute. This is when I became “AGI pilled” as they say. I switched from physics to AI because I thought this would become the root node science of the 21st century, much like physics was the root node science of the 20th century. I believe that working on foundational science is not enough on its own. Foundational science must also remain open and widely accessible. We remember Newton for his contributions to physics, but he was also an alchemist. Alchemy was done in secret, because the artificial production of gold was deemed lucrative but also dangerous with the potential do destroy entire economies. Newton even wrote his alchemy notebooks in cypher. On the other hand, Principia was published in the Philosophical Transactions of the Royal Society, the knowledge was made widely available, passed down for generations in what we now call Newton’s laws. The computer, transistor, GPS were possible to build because physics as a science was open. Openness creates an ecosystem of innovation. The notion of openness, which is a core tenet of scientific discovery, has also become a guiding principle for how foundational technology gets built and distributed. The internet was built on open protocols. The most widely used operating systems are open. The field of cybersecurity exists because strong encryption protocols were made open in the 1990s. Open also means safer. The best defence is a distributed one. Commonly used open source software is robust and battle-tested because it is inspected and patched by a community of developers. AI is different but also similar to software in many ways, though with a much larger surface area of vulnerabilities. It is impossible for a small group of safety researchers working in secrecy to remediate all of the potential issues regardless of their intentions. It is like entrusting a handful of white blood cells to protect your body. AI is both foundational as a science and a technology, and the safest way that also ensures the benefits of AI are distributed evenly is by making it open. I’m excited for what developers and scientists build and learn from this model, and for Beam to play a small part in ensuring that AI is made widely accessible, safe, and beneficial to all.

Why Amazon is blocking Instinct & Muse, and one potential path forward

“My vision is a decade from now, you walk down downtown Norman, Okla., and every storefront is open because Faire has made it so easy for these retailers to open up shops and to succeed.” @MaxRhodesOK I’ve always loved this business because this team chose to tackle the hard things first. Building a marketplace connecting independent retailers and brands sounds simple. It isn’t. Wholesale means bulk orders, inventory risk, logistics, and handling returns well , all while making the experience seamless for both sides. Faire took on that complexity from day one. @faire_wholesale has the ingredients to be a great public company because of the team behind it: meticulous attention to detail, an incredible command of the business, and a relentless ability to deliver. It’s one of those investments where you invest the money and go to sleep knowing the team will do the work.

Hallelujah. The @flySFO delays should get much shorter! The runway repaving project is ahead of schedule. It'll reopen by Sept. 29. Combined with the FAA's revised parallel landing procedures, 45-48 flights will be allowed to arrive each hour. (Down from a max of 54.)

$META’s Muse has already climbed to #4 on the App Store less than 24 hours after launch.

NEW: SFO just approved private bedrooms, showers, and a speakeasy inside Terminal 1 and Terminal 3. The Wait N’ Rest concept is built for travelers who want a few hours of hotel-grade privacy without leaving the terminal. -Private bedrooms planned near Gate B6 and Gate E3 -Individual showers for long layovers and between-flight resets -Hidden speakeasy bar for pre-flight drinks -Nikkei-inspired food and cocktails Targeting September 2027 opening.