revenue per employee tells you a lot about company culture & talent density jane street's revenue/employee only rivaled by anthropic ramp is highest among fintech startups, but still lower than goldman

🕵️ Goldman Sachs' biggest AI expense is coding tools, but spending on AI for finding security bugs could soon be on par!

I have invested in 14 $BN over the last 10 years and the one mindset trait all of them share: They have a superiority complex; they fundamentally believe they are better than others. Their success is inevitable. Combined, with this they are incredibly critical of themselves. They are never content with where they are, their own performance. They always masochistically push themselves for more. All of the best founders share this seemingly parodoxical mindset.

How can we design next-gen chips and software stacks for our next-gen workloads? For November’s SF Systems Reading Group, @AryaTschand and @aaravwattal will be leading a very timely session on Multi-Silicon Systems and Chip Design. Don’t miss this killer session on 11/10! rsvp.greylock.com/greylock/r…

Using advanced AI models @blockaid_ detected what is likely the biggest hack in the history of the world.

We are investigating a cluster of large outflows from Binance hot wallets that began at approximately 20:24 UTC on 29 October 2026. On-chain, the transfers look consistent with unauthorized movement from those wallets, but this has not been confirmed by Binance, and we cannot yet rule out an internal treasury or operational sweep. Observed chains: Ethereum, Arbitrum, and Avalanche, with related receipts also visible on Optimism. Observed scale (approximate, still being reconciled): Ethereum: about $2.5 billion from Binance 14 and Binance 16, plus an additional 780,000,000 USDC from a Binance smart account Arbitrum: about 8,426 ETH (~$19.5 million) Avalanche: about 1.81 million AVAX and 8.4 million USDT (~$24 million) Affected Binance wallets include: Ethereum Binance 14: 0x28C6c06298d514Db089934071355E5743bf21d60 Ethereum Binance 16: 0xDFd5293D8e347dFe59E90eFd55b2956a1343963d Ethereum smart account: 0xEe7aE85f2Fe2239E27D9c1E23fFFe168D63b4055 Arbitrum Binance 56 / Hot Wallet 1 / Binance 89: 0x1b5b4e441f5a22bfd91b7772c780463f66a74b35, 0xf92402bb795fd7cd08fb83839689db79099c8c9c, 0x3931dab967c3e2dbb492fe12460a66d0fe4cc857 Avalanche Binance 49 / 85 / 110 / 118: 0x9f8c163cBA728e99993ABe7495F06c0A3c8Ac8b9, 0x6D8bE5cdf0d7DEE1f04E25FD70B001AE3B907824, 0xABa2D404C5C41da5964453A368aFF2604Ae80A14, 0x3BCE63C6C9ABf7A47f52c9A3a7950867700B0158 Primary collection address (same across the affected chains): 0x5227f603C1eE34CE3C06eFe6477003BDfCCB2f8c Further destination wallets currently holding a large share of the funds include: 0x9749292D74Fd460982d0912eA9515EA24736C762, 0x0Ddf0480016e6bCb2C1F5d190D221FBA1320697e, 0x8532fa14acaf483729c449b8458aeddb900543d4, and 0x8d53903625b8e839b9DF4bd28B0EFb1CD6b8639A. We recommend treating this as unconfirmed until Binance issues an official statement. We will update as we verify more.

Strategic optimism is the way to build a beautiful future.

A retired NASA engineer who had worked on the Space Shuttle program for 25 years was hired by SpaceX at age 62. He described the first week as the most disorienting experience of his professional life. At NASA, a design change required 3 meetings, 2 committees, a review board, and 6 to 18 months of documentation. At SpaceX, his new supervisor said "if it works, build it. If it doesn't, change it by Friday." He sat at his desk after the first day and called his wife. He told her he felt like a man who had been swimming with ankle weights for 25 years and someone just cut them off. He could move. He could decide. He could build something in the morning and test it in the afternoon. The constraint that he had accepted as the nature of aerospace engineering turned out to be the nature of bureaucracy. Within 6 months he had contributed to more design iterations than he had completed in his last 5 years at NASA. Not because he was working harder. Because the time between having an idea and testing the idea collapsed from months to hours. The same brain. The same knowledge. A different operating system. He described a specific moment where he proposed a modification to a Raptor engine component. At NASA, the proposal would have entered a queue. At SpaceX, the modification was machined by the end of the day and tested by the following morning. He watched his idea become a physical object in 18 hours. At NASA, 18 hours would not have been enough to schedule the first meeting to discuss whether to schedule a meeting. He told an interviewer: "I didn't get smarter when I went to SpaceX. I got faster. The intelligence was always there. The system was in the way." The difference between SpaceX and NASA is not talent. NASA has extraordinary talent. The difference is the time between a thought and a test. SpaceX compresses it. NASA elongates it. The same engineer produces 10x more at SpaceX than at NASA because the bottleneck was never the engineer. It was the meetings about the meetings about the work.

When attackers use new sophisticated #AI, enterprise defenders cannot rely on legacy #cyber with AI only bolted on top. I’m excited about what @CylakeAI is building from the ground up, with customers keeping full control of their data and infrastructure. Thanks René Bonvanie for the insightful conversation.

One of the worst predictors of founder success we've tracked is how well someone pitches; the correlation between pitch quality and outcome was often negative. Zuckerberg was so awkward in early investor meetings that VCs wondered if he could ever manage anyone, and Larry Page refused interviews and earnings calls for years. Bezos had to pitch 60 different investors to raise his initial $1 million. Highly articulate people are great with the 30min process of telling a story to strangers, but this is a pretty different skill to building a company. Founders who spend years optimising to be persuasive have often optimised away from the building skills that compound over the 10yrs of execution that come afterwards; it’s incredibly hard to do both well. The articulate founder will impress your partners but the awkward one will return your fund.

Age when they started these companies: Michael Dell, Dell: 19 Jim Casey, UPS: 19 Steve Jobs, Apple: 21 Thomas Burberry, Burberry: 21 Walt Disney, Disney: 22 Arthur Davidson, Harley-Davidson: 22 Paul Allen, Microsoft: 22 Gerard Heineken, Heineken: 23 Whitney Wolfe, Bumble: 25 Larry Page, Google: 25 William Hewlett, HP: 25 Richard Schulze, Best Buy: 25 Sergey Brin, Google: 25 Akio Morita, Sony: 25 Phil Knight, Nike: 26 Steve Wozniak, Apple: 26 David Packard, HP: 26 Sara Blakely, Spanx: 27 John Mackey, Whole Foods: 27 Fred Smith, FedEx: 27 Steve Case, AOL: 27 Pierre Omidyar, eBay: 28 Sandra Lerner, Cisco: 28 Katrina Lake, Stitch Fix: 28 Eugene Schueller, L’Oréal: 28 Charles Walgreen, Walgreens: 28 Charles Rolls, Rolls Royce: 29 Dee Hock, Visa: 29 Elon Musk, SpaceX: 30 Jeff Bezos, Amazon: 30 Erling Persson, H&M: 30 Jensen Huang, Nvidia: 30 Fusajiro Yamauchi, Nintendo: 30 Chester Carlson, Xerox: 31 Scott Cook, Intuit: 31 Leonard Bosack, Cisco: 31 Werner von Siemens, Siemens: 31 Robin Li, Baidu: 32 Oprah Winfrey, Harpo: 32 Armand Peugeot, Peugeot: 32 Travis Kalanick, Uber: 32 Jerry Sanders, AMD: 32 James Gamble, P&G: 33 Larry Ellison, Oracle: 33 Jack Ma, Alibaba: 34 William Procter, P&G: 35 William Boeing, Boeing: 35 Marc Benioff, Salesforce: 35 Rowland Macy, Macy’s: 36 J.C. Jacobsen, Carlsberg: 36 Reid Hoffman, Linkedin: 36 Reed Hastings, Netflix: 36 Namihei Odaira, Hitachi: 36 Doris Fisher, The Gap: 37 Milton Hershey, Hershey: 37 Hugo Boss, Hugo Boss: 38 Masaru Ibuka, Sony: 38 Tory Burch, Tory Burch: 38 Wayne Hughes, Public Storage: 38 Rich Barton, Zillow: 38 Henry Ford, Ford: 39 Cher Wang, HTC: 39 Gordon Moore, Intel: 39 Vera Wang, Vera Wang: 40 Jeffrey Brotman, Costco: 40 Gustaf Larson, Volvo: 40 Robert Noyce, Intel: 41 Christian Dior, Christian Dior: 41 Asa Candler, Coca-Cola: 41 Eric Yuan, Zoom: 41 Chip Wilson, Lululemon: 42 Soichiro Honda, Honda: 42 Jerry Baldwin, Starbucks: 42 Robin Chase, Zipcar: 42 Diane Greene, VMware: 43 Charlie Ergen, Dish Network: 43 Charles Geschke, Adobe: 43 Ralph Roberts, Comcast: 43 Macon Brock Jr., Dollar Tree: 43 Sam Walton, Walmart: 44 Jim Kimsey, AOL: 44 Thomas Edison, GE: 45 Jim Sinegal, Costco: 47 Adi Dassler, Adidas: 48 Marcus Goldman, Goldman Sachs: 48 Tony Ryan, Ryanair: 49 Leo Goodwin, Geico: 50 Bernie Marcus, Home Depot: 50 Harold Stanley, Morgan Stanley: 50 Gordon Bowker, Starbucks: 51 Gary Burrell, Garmin: 51 Chung Ju-Yung, Hyundai: 51 Ray Kroc, McDonald’s System: 52 Joseph Campbell, Campbell Soup: 52 Henri Nestlé, Nestlé: 52 Yoshisuke Aikawa, Nissan: 53 Bill Porter, E*Trade: 54 Sheldon Adelson, Las Vegas Sands: 55 Arianna Huffington, Huffington Post: 55 Ferdinand Porsche, Porsche: 56 Kawasaki Shōzō, Kawasaki: 59 Charles Flint, IBM: 61 Colonel Sanders, KFC: 62 Dave Duffield, Workday: 65 Lisa Gable, Strap-Mate: 70

So Tenzai is #1 on @Hacker0x01's business VDP leaderboard - for the second quarter in a row. Here's the news: this time we did it using an open-weight model anyone can download. Same result as the frontier model, ~30% cheaper per report, and only 3.5% false positives. And here's the real news: These models are highly capable to power offensive AI operations at scale. Attackers can and will build malicious agents with these models. The write-up: tenzai.com/blog/an-open-weig…

The only AI list you need in 2026 Founders, researchers & builders. FRONTIER LAB FOUNDERS @sama— OpenAI CEO @demishassabis — Google DeepMind CEO @darioamodei — Anthropic CEO CHINA'S OPEN-WEIGHT WAVE @Kimi_Moonshot — Moonshot AI / Kimi (Yang Zhilin's lab) @jietang — Zhipu co-founder & chief scientist @JustinLin610 — built the Qwen series at Alibaba THE PIONEERS / GODFATHERS @ylecun — Turing Award, pioneer of CNNs @fchollet — creator of Keras @karpathy — Anthropic, AI educator @AndrewYNg — Coursera co-founder RESEARCHERS WORTH READING @ch402 — Chris Olah, interpretability (Anthropic co-founder) @ai_explorer25— Researcher, AI commentary @leopoldasch— "Situational Awareness," ex-OpenAI Superalignment @thsottiaux— leads OpenAI Codex

Recommended reading for the weekend: 1. @alexandr_wang — Why I'm Building Muse 2. @gregisenberg — AI-native services: a $100B opportunity 3. @FranklnTempletn — Macro Views: Growth Holds, Pressure Builds 4. @Google — Behind Project Suncatcher, our moonshot to put AI in space 5. @EpochAIResearch — The plunging price of thought 6. @AnthropicAI — Measurements for understanding the pace of AI development inside frontier labs Hope everyone has a great weekend!

hey @boardyai analyze my profile and tell me the most useful person in your network I should meet next, and why

Nvidia CEO defines what it means to be smart and importance of seeing around the corners

NEWS: Greylock just raised a $1.5B fund. Despite making its biggest-ever investment in Anthropic last year, the firm says it's still betting that the biggest AI companies of the next decade haven't been founded yet—and is doubling down on leading first checks. I sat down exclusively with @saammotamedi & @chandna bloomberg.com/news/articles/…

Today, we are officially announcing Greylock 18, our new $1.5 billion early-stage fund. @chandna and @saammotamedi sat down with Natasha Mascarenhas(@nmasc_) from @business to share our take on this moment in AI, our concentrated approach to backing founders, and why we believe the biggest companies of this wave are still ahead. Link to the article in the comments.

Today, we are announcing Greylock 18, a new $1.5 billion early-stage venture fund. A company begins when a founder sees a future others cannot yet see. There is no team, product, or revenue. Only a deep insight and the courage to start. Being early is lonely work. For years, being right can look exactly like being wrong. Greylock has spent more than six decades partnering with founders through those earliest moments to build enduring companies. Airbnb, Facebook, and Palo Alto Networks all began as improbable ideas driven by founders determined to make them inevitable. AI has made the map blank again. Every part of the economy is now open to reinvention. We believe many of the defining AI companies do not yet exist. We invest selectively and partner deeply with the founders we back. Each Greylock partner makes only one or two new investments a year because the work demands depth. We bring the full attention, network, and resources of Greylock to every partnership. We are builders backing outliers. Founders have their choice of investor. When a founder chooses to partner with Greylock, we understand the weight of that choice and the profound responsibility that comes with it. We seek to be a founder’s first believer and long-term partner. Greylock 18 is our commitment to what does not exist yet.

Most people think character is something you're born with. It isn't. It's the residue of five decisions you keep making — usually without noticing. 1. What you pay attention to. Attention is the raw material of experience. William James said it a century ago: my experience is what I agree to attend to. The phone in your hand isn't stealing your life. It's revealing what you keep choosing to look at. 2. What you tolerate. The behaviors you don't push back on become the behaviors around you. From your own procrastination to a colleague's interruption — silence reads as consent. 3. What you commit to in writing. A value you haven't put on the calendar is a preference. Timeboxing your day is how you turn intention into identity. Schedule builders, not to-do list makers. 4. Who you spend time with. You don't rise to the level of your goals. You fall to the level of the people whose discomfort you've learned to share. Pick carefully. 5. What you do with discomfort. This is the one underneath the other four. Every distraction, every broken commitment, every avoided conversation traces back to an unwillingness to sit with a feeling. Time management is pain management. None of these are personality traits. They're decisions. Which means tomorrow you can make different ones.