Mykhaylo 🇺🇦🌻 @mryechkin

Lead Front-End Engineer @ Manulife 💻 Building design system libraries and tooling ✨ misha.wtf 🇨🇦 Ontario Joined November 2009

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Mykhaylo 🇺🇦🌻 @mryechkin

a week ago

@HarryStebbings @nico_laqua This HAS to be satire… I refuse to believe anyone is actually that stupid.

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Mykhaylo 🇺🇦🌻 @mryechkin

2 weeks ago

@devongovett @opatrickgdl @devongovett where would I find this in the docs? There are no results when doing a search for that function – I'm curious what other hidden gems there may be?

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Mykhaylo 🇺🇦🌻 @mryechkin

2 weeks ago

@kenwheeler Goddamn man, you gotta start putting an NSFW tag on these

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Mykhaylo 🇺🇦🌻 @mryechkin

2 weeks ago

@rauchg

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Mykhaylo 🇺🇦🌻 @mryechkin

3 weeks ago

@kenwheeler Kvas! 🤤👌

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Mykhaylo 🇺🇦🌻 @mryechkin

a month ago

@KevinVanCott @MaterialUI @mantinedev @shadcn @base_ui @radix_ui Awesome! 🥳 Thanks for confirming - looking forward to checking them out

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Mykhaylo 🇺🇦🌻 @mryechkin

a month ago

@arzatskis @tan_stack @devongovett +1 I'd love to see more official documentation on using both of those libraries together - especially the more complex features

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@devongovett @KevinVanCott @orlik03800930 @MaterialUI @mantinedev @shadcn @base_ui @radix_ui Can confirm, we're using v8 along with React Aria right now - it's working great so far, but it would be helpful to see official examples of the more complex features (eg. row expansion) of both libraries together.

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Mo @atmoio

a month ago

This is utterly fascinating. We’ve known code written by AI is harder to untangle. It appears this is the case with writing as well. Tricia is an editor and she says that when an author submits work that is written by AI, she has a much harder time editing it. It’s all one interconnected black-box piece of writing that is not amenable to change. Whereas she finds that human writing, while seemingly messier, is actually much more structurally straightforward. My theory as to why this is is that LLMs think one token at a time. And after every token, they essentially look back and ask, “have I said the thing the prompt wants me to say?” If not, it keeps elucidating. The result is tight chain of thought writing that requires each preceding token to make sense of the next. Whereas human writing starts from a pre-language idea in the author’s head, and looks forward many sentences and paragraphs ahead to approximate the author’s intent. It’s somewhat fuzzy. But I think LLMs fundamentally “think” in a much different way than humans. They are certainly not useless. But I think it’s a grave mistake to equate them with human intelligence.

Tricia Dearborn @TriciaDearborn

2 months ago

If you're thinking about using gen-AI to "write" books, this 🧵 is for you. I’m a highly experienced editor who’s been in the biz a long time. Recently I’ve had manuscripts come to me where the author has used gen-AI – not for writing, I’ve been assured, but for

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David K 🎹 @DavidKPiano

2 months ago

USERS care if code is messy. They care if the app is buggy. Or slow. Or if the UX is frustrating. Or if important features are missing or broken. These are downstream effects of messy, unmaintainable code.

Suhas @zuess05

2 months ago

Senior developers are currently having a massive existential crisis because Claude writes "messy code" A junior just used Claude to ship an entire feature in 2 hours. Meanwhile, the Senior is still spending 3 days reviewing code. When will y'all realize that literally nobody

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Mykhaylo 🇺🇦🌻 @mryechkin

2 months ago

@adamwathan Jesus man, that is scary 😨 Hopefully she’s OK and it’s nothing serious 🤞

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Out of Context Human Race @NoContextHumans

2 months ago

I’ve never seen anything more accurate

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Mykhaylo 🇺🇦🌻 @mryechkin

2 months ago

@AdamRackis @kenwheeler Agreed ☝️

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Mykhaylo 🇺🇦🌻 @mryechkin

2 months ago

@vladmoroz 💯

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mrdoob @mrdoob

2 months ago

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❖ Murphy @murphytrueman

2 months ago

New post! blog.murphytrueman.com/what-your-comp…

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Mykhaylo 🇺🇦🌻 @mryechkin

3 months ago

@devongovett TIL! 💡

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Product Hunt 😸 @ProductHunt

3 months ago

holy sh*t they actually did it

Google Research @GoogleResearch

3 months ago

Introducing TurboQuant: Our new compression algorithm that reduces LLM key-value cache memory by at least 6x and delivers up to 8x speedup, all with zero accuracy loss, redefining AI efficiency. Read the blog to learn how it achieves these results: goo.gle/4bsq2qI