Muhammad Lucman

It’s kinda crazy to me that we melt sand down, clean it to 99.99999% purity, literal wizards have to draw it slowly into an ingot, we cut it, inscribe a hundred billion little on/off switches on it, and when you run electric current through it you can do basic arithmetic, which when you do enough of it can do any math on the planet, and which describes reality well enough that we can teach it the ontological meaning of words and their distance from each other on a high-dimensional space, and if you ask, it can tell you what word comes next and that apparently is powerful enough that if you do it a hundred billion times it’s the smartest thing to ever exist oh yeah and we use this primarily for email

Tony Xu of @DoorDash on getting rejected by investors, competing against rivals with thousands of times more capital, and how founders can tell conviction from delusion: "I had over 100 rejections in a span of over 1,000 days where the company almost constantly ran out of money... I couldn't raise a dime, and we were running out of capital." "Companies like Amazon or Uber were in the space who had way more capital than we had. Hundreds of times, maybe thousands of times of capital deployed versus the amount that we raised. So then the question becomes, well, how are you gonna win this cash-burning machine?" "This is where you as the founder have to finely tune that line between delusion and knowing that you have something that others don't understand. What are the customers telling you?" "We the founders did deliveries for almost virtually every day the first three years of the company's life... And so we had strong points of view on each side of our marketplace that could explain what was happening in the numbers." "When you have one set of facts, which is your customers, you have another set of facts, what are called opinions and perceptions, you gotta trust the facts. That's ultimately what kept us going." @t_xu w/ @speedrun GP @andrewchen

You have to kill the past; you have to forget just to go on living. Nietzsche speaks of this in his essay on history: "a thing lives by negating, consuming and contradicting itself. [...] Forgetting is essential to action of any kind."

Head of Design at Stripe on how to stop creating zombie UIs

Your doctor cuts you off about 11 seconds after you start talking. Researchers literally timed it in a 2018 study. That number is why Google's new Lancet result is bigger than it looks. In the study, 98 real urgent care patients texted with Google's AI days before their appointment. No scans, no exam, no bloodwork, just an unhurried conversation about what was wrong. That alone put the correct final diagnosis on the AI's list 90% of the time. Sounds like magic until you learn what medicine has known for 50 years. Back in 1975, a British team published a study in the BMJ tracking which part of a visit actually produced the right diagnosis. The physical exam? The labs? Nope. In 82% of cases, the patient's story alone got the doctor there. Everything else mostly confirmed what listening had already found. So the playbook for accurate diagnosis has existed since 1975. Let the patient talk. Medicine just built a system where nobody has time to run it, and an 18-minute appointment with 11 seconds of uninterrupted patient talk was the result. Google didn't build a superhuman doctor. It built the first clinician in 50 years with enough time to use the method we already proved works. And my favorite detail buried in the study... physicians who read the AI's pre-visit summary said it changed how they treated the patient in over half of cases. Hand a doctor the full story before you walk in the room and you get different medicine. Turns out the most advanced medical instrument Google ever shipped is a conversation that doesn't get interrupted.

it’s important to remember that jobs of the future won’t look like jobs of the past. they will be incomprehensible to us today. imagine explaining to a farmer from the early 1800s that your job today is to speak into a microphone and record a podcast. it simply wouldn’t compute. they wouldn’t see it as something you could get paid to do. none of us know the jobs future generations will have.

Unbelievable Wasatch Back Colors A plethora of colors that @utahsight (Trent Sayer) caught from his drone flight over some of the most beautiful Autumn colors I have seen yet this fall. I am surprised at the brilliance of colors this year, because of the hot and dry summer. We expected dull colors, but it turns out the September rain was enough to feed the trees, so they could turn into this spectacular kaleidoscope of brightness. @dan_pope_meteorologist @weathercaster @UtahWxMetGuy @youtah @dannahyer @cajaaw @Grallon @brianwusa @brian_schnee @adambcarroll @wrighthydromet @UtahWxMan @CVAirportUT10 @stevebaron @SLCScanner @Gman1035ArrowDJ @brianwusa @dannahyer

bTwo Princeton psychologists tested this on 40 seminary students, people training to be preachers, in December 1970, and the tweet holds up. Each seminarian had to walk from one building to another to deliver a short talk, about half of them on the Good Samaritan. An assistant checked his watch and told some participants that they were already behind. Other participants were informed that they had extra minutes to spare. Then the researchers placed a man in an alley who sat slumped in a doorway with his head down and eyes closed. As each participant passed by, the man coughed twice and groaned. It turned out that 63 percent of seminarians who had extra time to spare offered help to the man they passed. But only 10 percent of seminarians who were late did. The topic of their talk didn't make a statistically significant difference. The paper's authors note that on several occasions, a student preaching on the Good Samaritan "literally stepped over the victim." When interviewed after the experiment, almost all the subjects who were rushed mentioned that the man could have needed help, but many made no such realization in the moment. The psychologists were Darley and Batson, who argued that their subjects were suffering from tunnel vision and were caught in a tug of war, since someone was waiting on them. "Conflict, rather than callousness," they wrote. Batson's research team ran a replication of the experiment in 1978, this time using undergraduate students. They found that hurried students were more likely to stop when they were told that their data was not critical. The hurried seminarians who walked past the man had been late for a three to five minute talk.