Marc J. Schmidt
@MarcJSchmidtBuilding robot minds, @deepkitIO, freelance software/ml engineer
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The first (?) interactive TypeScript type debugger. Primarily built for the byte-code/VM of the new type checker, but is actually already quite useful to debug types by simply stepping through it.💪 I will compile it to WebAssembly in the next days to let it run in the browser.
A data scientist isn't a scientist, a prompt engineer isn't an engineer, machine learning doesn't learn, artificial intelligence isn't intelligence, and agents don't have agency. This industry is so full of shit.
I open my window and listen to the forest, mother nature
What music do you listen to when you’re writing code and tryna lock-? For me it’s either dnb or smooth jazz
I live deep in the woods and I'm glad I don't know anyone who codes here. It's like finally being free
I love SF I was walking down the street and someone recognized me And they shouted: “Zack! Merge my PR on tyvm!” This type of thing only happens here
OK Boomers In this iPhone video by @JCyrier from our vantage point to the south, you can see the sonic boom in the air at 20 seconds and hear it BOOM at 47 seconds. Incredible body feel. “A sky scraper went into space, returned to earth, and parallel parked” - Sylvia Smith
€ 1 million profit in the bank now. nice growth. people love wood I can tell you
Nice achievement: we made € 1 million in sales in December alone. We are on track to double this in December 2024 🫡
node 22.9 is crazy fast, so close to c++ speed
btw the optimal speed (c++ driver) for postgres fetching 10k rows is ~2.1ms in this particular case. Deepkit is at ~3.7ms, with almost zero cost strings we are down at ~2.6ms. not that bad
Wow. More great learning based bipedal control from Disney research. Doing this on low cost hardware is even more impressive.
Fan Ho's rare colour photographs of Hong Kong in the 1950s and 60s
Deepkit doesn't do ads because our target audience isn't sitting around watching memes
btw the optimal speed (c++ driver) for postgres fetching 10k rows is ~2.1ms in this particular case. Deepkit is at ~3.7ms, with almost zero cost strings we are down at ~2.6ms. not that bad
next Deepkit ORM will be faster than manually written SQL and up to an order of magnitude faster than other ORMs fetch-10k - SELECT * from table - 10,000 records fetch-1 - SELECT * from table LIMIT 1
wasm stringref standard will change the game and makes deepkit probably as fast as code in c/c++
next Deepkit ORM will be faster than manually written SQL and up to an order of magnitude faster than other ORMs fetch-10k - SELECT * from table - 10,000 records fetch-1 - SELECT * from table LIMIT 1
Each cephalopod's chromatophore organ comprises an elastic sac containing pigment of different colors with a set of obliquely striated radial muscles. When excited, the muscles contract, expanding the chromatophore, enhancing that color [📹 SaltyFlyTying]
ORMs are slow not because of some inherent law of nature, but because authors have not prioritised performance. It could be faster than raw SQL if they wanted to
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