Alan Veeck (@aveeck) header
Alan Veeck (@aveeck) profile picture

Founder, Summit Procurement @ https://xitter.gq/t.co/8f8Aft19I1 & host of REBUILD pod @ https://xitter.gq/t.co/GI02P2lbpB

Pittsburgh PA USA
Joined May 2007
Photo by Alan Veeck (@aveeck)Photo by Alan Veeck (@aveeck)Photo by Alan Veeck (@aveeck)Photo by Alan Veeck (@aveeck)Photo by Alan Veeck (@aveeck)Photo by Alan Veeck (@aveeck)Photo by Alan Veeck (@aveeck)Photo by Alan Veeck (@aveeck)
Alan Veeck retweeted
He was a wise man
Lee Kuan Yew explained this… "In multicultural societies you don't vote in accordance with economic or social interests. You vote in accordance with your race and religion."
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Alan Veeck retweeted
FYI, have used visualization with both pro level athletic and business clients (for pitches, talks, etc.) and it's so incredibly effective. Looks nuts, but backed by science and improves performance.
Watch the Navy Blue Angels choreographing their air show performance. It’s that precise! Absolutely zero wiggle room involved in performing these maneuvers. Crazy.
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Alan Veeck retweeted
The right kind of ambition is to compete against yourself. To be the best version of yourself.
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Alan Veeck retweeted
Underrated life skill: Listening without waiting to talk. You’ll be shocked by how much people tell you if you actually let them finish. What folks want isn’t advice. It’s your attention. You don’t win people over with your story. You win them over by letting them finish theirs.
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Alan Veeck retweeted
A mathematician who shared an office with Claude Shannon at Bell Labs gave one lecture in 1986 that explains why some people win Nobel Prizes and other equally smart people spend their whole lives doing forgettable work. His name was Richard Hamming. He won the Turing Award. He invented error-correcting codes that made modern computing possible. And he spent 30 years at Bell Labs sitting in a cafeteria at lunch watching which scientists became legendary and which ones faded into nothing. In March 1986, he walked into a Bellcore auditorium in front of 200 researchers and told them exactly what he had seen. Here's the framework that has been quoted by every serious scientist for the last 40 years. His opening line landed like a punch. He said most scientists he worked with at Bell Labs were just as smart as the Nobel Prize winners. Just as hardworking. Just as credentialed. And yet at the end of a 40-year career, one group had changed entire fields and the other group was forgotten by the time they retired. He wanted to know what the difference actually was. And he said it wasn't luck. It wasn't IQ. It was a specific set of habits that almost nobody is willing to follow. The first habit was the one that hurts the most to hear. He said most scientists deliberately avoid the most important problem in their field because the odds of failure are too high. They pick a safe adjacent problem, solve it cleanly, publish it, and move on. And because they never swing at the hard problem, they never hit it. He said if you do not work on an important problem, it is unlikely you will do important work. That is not a motivational line. That is a logical one. The second habit was about doors. Literal doors. He noticed that the scientists at Bell Labs who kept their office doors closed got more done in the short term because they had no interruptions. But the scientists who kept their doors open got more done over a career. The open-door scientists were interrupted constantly. They also absorbed every new idea passing through the hallway. Ten years in, they were working on problems the closed-door scientists did not even know existed. The third habit was inversion. When Bell Labs refused to give him the team of programmers he wanted, Hamming sat with the rejection for weeks. Then he flipped the question. Instead of asking for programmers to write the programs, he asked why machines could not write the programs themselves. That single inversion pushed him into the frontier of computer science. He said the pattern repeats everywhere. What looks like a defect, if you flip it correctly, becomes the exact thing that pushes you ahead of everyone else. The fourth habit was the one that hit me the hardest. He said knowledge and productivity compound like interest. Someone who works 10 percent harder than you does not produce 10 percent more over a career. They produce twice as much. The gap doesn't add. It multiplies. And it compounds silently for years before anyone notices. He finished the lecture with a line I have never been able to shake. He said Pasteur's famous quote is right. Luck favors the prepared mind. But he meant it literally. You don't hope for luck. You engineer the conditions where luck can land on you. Open doors. Important problems. Inverted questions. Compounded hours. Those are not traits. Those are choices you make every single day. The transcript has been sitting on the University of Virginia's computer science website for almost 30 years. The video is free on YouTube. Stripe Press reprinted the full lectures as a book in 2020 and Bret Victor wrote the foreword. Hamming died in 1998. He gave his final lecture a few weeks before. He was 82. The lecture that explains why some careers become legendary and others disappear is still free. Most people who could benefit from it will never open it.
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Alan Veeck retweeted
.@geckorobotics is at the frontline in remaking the Rust Belt--located in a former mall across from the still standing walls of the Pennsylvania Canal--which contributed to the boom of the Rust Belt during the Industrial Revolution--one of my favorite stories this year
Gecko Robotics a Pittsburgh startup located in an old mall just landed a $71 million defense contract to deploy artificial intelligence & robotics to assess and maintain the health of the assets of the Navy. Robots, energy & AI are remaking the Rust Belt washingtonexaminer.com/opini…
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Jason Paige recorded the Pokémon theme song in a single take, unaware it would go on to become one of the most iconic intros of all time.
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We spend time chasing money, then spend money chasing time.
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Alan Veeck retweeted
Did you know? NASA only uses 15 digits of π for calculating interplanetary travel. At 40 digits, you could calculate the circumference of a circle the size of the visible universe with an accuracy that'd fall off by less than the diameter of a hydrogen atom. π Day 2026
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Replying to @aveeck
Being that first hire at 100M would be both stressful and sweet. Lots done wrong for a long time, but so much savings to capture! Prob $5-10M+
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I remember in 2018 when Apple was the first to hit $1T and ppl went crazy Now Apple is $4T and there are 10 others public companies >$1T…wild
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Black Friday is more PsyOps than good deals
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Less than 2% of their workforce. This alone is not as dramatic as the news is making it
*ACCENTURE LAYS OFF 11,000 EMPLOYEES, WARNS MORE JOB CUTS ARE COMING DUE TO AI
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The enhance meme from Bladerunner, except the AI is asking the computer to enhance.
Replying to @emollick
And another one exactly right from GPT-5 Thinking. I especially like how it did image processing to try to read distant text.
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This study is being massively misinterpreted. College students who wrote an essay with LLM help engaged less with the essay & thus were less engaged when (a total of 9 people) were asked to do similar work weeks later. LLMs do not rot your brain. Being lazy & not learning does.
"Over four months, LLM users consistently underperformed at neural, linguistic, and behavioral levels. These results raise concerns about the long-term educational implications of LLM reliance." However worried you were about the impact of AI on education, you weren't worried enough.
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No signs of an end to rapid gains in AI ability at ever-decreasing costs yet I did my best to update my chart to take into account the price drop in o3 & the new models released by Google. GPT-4 was 2.25 years ago,so its worth noting the trend when considering the future of AI.
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Why give one supplier 100% of your business and risk 100% of the failure? The most successful sourcing managers arent putting all their eggs in one basket. They're "load balancing" their spend across multiple suppliers to maximize resilience AND leverage. Here's how they do it:
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Alan Veeck retweeted
Anduril has a bunch of open roles in Pittsburgh, probably opening an office 👀 Pittsburgh is home to unicorns Skild AI, Gecko Robotics, Abridge, Stack AV + recent publics Duolingo and Aurora
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The older I get, the more I realize: • No is a full sentence • Being unbothered is a skill • Silence is a response • Most "urgent" things can wait • Respect > Attention • Apologies are empty without action • Movement is medicine • You're not for everyone, and that's fine
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"o3, show me a photo of the most stereotypical X and LinkedIn feeds as seen on a mobile device. Really lean into it."
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