1,615 karma · joined February 20, 2007
Bootstrapped family biz: elbobooks.com
Spring Science founder / CEO (now part of Genentech)
Khan Academy founding engineer / VP eng
Fog Creek early engineer / VP eng
I no longer do and blogged my updates for fear of being seen as a luddite:
https://kamens.com/blog/code-with-ai-the-hard-way-update https://kamens.com/blog/code-with-ai-the-hard-way-update-ii
^^ project with my daughter
Parallel agents debate your ideas/work: https://murderboards.ai
^^ solo project / code review agents for non-coders / inspired by Compound Engineering plugin’s code review flow
(most pinch points are gone these days, it just required a lot of edge case hunting)
To have mazes look more human drawn, cells need to be irregular and the inner walls need naturally follow the contours of the outer shape.
I both (A) found this infuriating and (B) found his understanding of what Trump is to be deeply insightful.
I am still asking a specific question: for the prediction of Trump's rise, did the critics downvoting me read his actual writing and arguments? It was not a single contrarian prediction. It was an extended, thoughtful, and informed perspective that has helped understand the world for the past 10 years.
It is hard to remember how thoroughly Trump's presidential run was seen as a joke in 2015. I bet most people can't remember and somehow think they always knew Trump stood a real chance. That is likely a lie.
Scott made specific, reasoned, unique arguments about why Trump would win, with high conviction. This was at a time when it was about as non-consensus and unpopular as possible to do so (it wasn't just that people didn't want Trump to win, there was a complete dismissal of the possibility from both sides of the aisle).
The fact that Scott was right, and continued to be right when forecasting much about politics, taught me a lot about the nature of the world we live in. Scott clearly understood something important that I did not at the time.
I also suspect it may be solvable by switching to something other than humans - we probably won’t be as weirded out by malformed cars or plants or whatever.
PS Hi Sophie!
I wrote about it: https://kamens.com/blog/code-with-ai-the-hard-way
Building on that: there's a common children's magic trick involving a flip book that magically "colors" its pages (https://www.magicinc.net/products/fun-magic-coloring-book?va...)
It works by moving your thumb to a different position while flipping the pages -- every Xth page is cut at slightly different lengths, so when you move your thumb to the next position, different pages become visible during the flip
Using this trick you could show multiple different video clips in the flipbook just by moving your thumb to a different spot
props on shipping an incredible personal project! if you ever want to geek out about diabetes tech, DM me on X @kamens
scott hanselman would probably also love to chat about your project
...and doesn't clarify that the study has absolutely nothing to do with alzheimer's / is only talking about blunt force trauma-induced damage
is like saying
"nothing about waves themselves that are bad for boats"
kinda sorta true...but turns out sailing in calm waters is a hell of a lot safer than heading into rough seas
(type 1 for 28 years)
Consider a "genome" for a tictactoe player to be a 19,682-long array that holds "next moves" at each slot in the array. For any given gamestate, look up the player's next move via their genome.
Randomize genomes originally. Make tons of them. Compete w/ each other, then play around with all sorts of fun mating/mutation strategies for swapping different moves between genomes.
Fun to see a perfect tictactoe player evolve, super approachable toy example.