Jack Kingdon

345 posts

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Jack Kingdon

Jack Kingdon

@jdysn4

Katılım Mart 2021
117 Takip Edilen15 Takipçiler
Robotbeat🗽 ➐
Robotbeat🗽 ➐@Robotbeat·
Vibe-coding a porkchop plot generator for Mars missions (instead of bothering Casey Handmer, my previous method). I love living in the future.
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Jack Kingdon
Jack Kingdon@jdysn4·
@ramez Whats the best up to date overview of solar costs?
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Chandhana
Chandhana@chandhana01·
just remembered that my middle school taught the first cs class in BASIC. can I now say I know an ancient language
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Hipernova
Hipernova@HipernovaStar·
@Robotbeat It means you don't need SLS at all. Just put Orion atop s New Glenn and be done with it. Or even better, ditch Orion. 24 people launched directly by starship or bust.
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Jack Kingdon
Jack Kingdon@jdysn4·
@Robotbeat Have you read Rolt's biography of Isambard Kingdom Brunel? Nuts naval activity was happening in mid 19th century Britain
Jack Kingdon tweet media
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Lulu Cheng Meservey
Lulu Cheng Meservey@lulumeservey·
Curious for your opinion: The post you quoted is pure claudeslop (which I’m sure you easily discerned), without even traces of human intervention… Yet it was a good topic and its lessons are useful. So reading it felt like drinking wine from a styrofoam cup How much do you think “delivery” matters? Your essays for example, combine clear ideas with elegant writing - would they be as compelling if the writing were bad? Do you think quality function can overcome sloppy form?
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Paul Graham
Paul Graham@paulg·
Hamming's talk is so important that I reproduced it on my site. It's one of the only things on my site written by someone else. paulgraham.com/hamming.html
Ihtesham Ali@ihtesham2005

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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CobsonLovesStarship
CobsonLovesStarship@StarCobShipSon·
"SpaceX used to show their failures" MF's in shambles rn. We got close ups of S36 explosion and B18 explosion. And more in depth explanation of aborted tests.
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Jack Kingdon
Jack Kingdon@jdysn4·
@Robotbeat Ok yes you are probably right I just wanted to see more 2021 style Starship flights
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Robotbeat🗽 ➐
Robotbeat🗽 ➐@Robotbeat·
@jdysn4 There are tons of ways to do it. A gazillion weather balloons (made of a biodegradable plastic film and hydrogen lifting gas) would be pretty cheap.
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Robotbeat🗽 ➐
Robotbeat🗽 ➐@Robotbeat·
Quite literally change this world and others. Might be the vehicle used for partial terraforming of Mars (and geoengineering Earth).
Tom Mueller@lrocket

@SpaceX Joe P quote was right on, "people have no idea how this rocket is going to change the world"

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Jack Kingdon
Jack Kingdon@jdysn4·
@Robotbeat Yea I thought that was what you were getting at but SAI aircraft is not a properly solved problem as there are few aircraft that can get into the stratosphere at the equator (17km)
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Robotbeat🗽 ➐
Robotbeat🗽 ➐@Robotbeat·
@jdysn4 Mirrors. A little more expensive than sulfur aerosols, but fewer drawbacks. You can even choose to only reflect infrared, meaning you don't reduce photosynthesis or photovoltaics.
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Jack Kingdon retweetledi
Casey Handmer
Casey Handmer@CJHandmer·
@jared_western They are burdened by our society's dependence on fossil fuel.
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Jack Kingdon
Jack Kingdon@jdysn4·
@KenKirtland17 Presumably header tank boiloff & battery capacity are limiters right now - its still effectively just a rocket second stage
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Ken Kirtland IV
Ken Kirtland IV@KenKirtland17·
Wow! Will probably watch again soon to pick out more info. Please keep these coming SpaceX, really great to see the hardwork. Probably missed a lot but something new I heard is 48 hour on orbit initial capability for Starship V3.
SpaceX@SpaceX

Three years since the first flight of Starship, the next generation is here. New ship. New booster. New engines. New pad and new test site. SpaceX engineers are working to solve one of the most difficult engineering challenges in history: developing a fully, rapidly reusable rocket

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Peter Hague
Peter Hague@peterrhague·
The idea of instantly having full closure on the habitat is an absolute strawman for a start. I wrote about it here, and I want to get round to refining this model planetocracy.org/p/funding-colo…
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Jack Kingdon
Jack Kingdon@jdysn4·
@mattparlmer Are there any good reasons for the US to fare worse than other rich countries?
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mattparlmer 🪐 🌷
mattparlmer 🪐 🌷@mattparlmer·
You should worry much less about AI taking your job than the increasingly likely scenario in which the American govt can’t borrow money
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mattparlmer 🪐 🌷
mattparlmer 🪐 🌷@mattparlmer·
I’m really optimistic about life in 2040 but I’m increasingly confident that 2030 is gonna be extremely shitty for almost everybody
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Jon Jameson
Jon Jameson@3kwords·
@peterrhague I can't understand why people are getting so snooty about this. It's an incredibly common misconception about percentages and anyone listening in good faith would understand that they're referring to a 6-fold increase versus a 6-fold decrease.
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