Yousr

@rsuyoy • 2,300 subscribers

Making @CiftApp • Tech, AI and Culture • 🇲🇦 • 20 • Writing @nativestudio_

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the number change animation is lovely

the number change animation is lovely

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Videos

Anya Rossi

sweetdream.ai

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Nothing against Anthropic but let us show Apple some respect.

Nothing against Anthropic but let us show Apple some respect.

1,220,241 просмотров • 3 месяцев назад

WE NEED JONNY IVE-STYLE DESIGN VIDEOS BUT FOR SOFTWARE

WE NEED JONNY IVE-STYLE DESIGN VIDEOS BUT FOR SOFTWARE

426,396 просмотров • 1 месяц назад

Apologies, Jony Jve himself actually did that before lol This is how someone proud of the software they made demos it btw

Apologies, Jony Jve himself actually did that before lol This is how someone proud of the software they made demos it btw

282,703 просмотров • 1 месяц назад

5 things I’m particularly proud of in my app. An unscripted, spontaneous live demo from my uni dorm :)

5 things I’m particularly proud of in my app. An unscripted, spontaneous live demo from my uni dorm :)

54,345 просмотров • 2 месяцев назад

100% of the code behind this UI is LLM-generated btw. With enough prompting, Figma, and open source libraries, you can craft very tasteful things with no code. I refuse to call this “vibecoded” given how premium it looks compared to the average vibecoded slop lol

100% of the code behind this UI is LLM-generated btw. With enough prompting, Figma, and open source libraries, you can craft very tasteful things with no code. I refuse to call this “vibecoded” given how premium it looks compared to the average vibecoded slop lol

34,742 просмотров • 2 месяцев назад

UPDATE: Ended up with this cool little tool to both build and verify the training data quality; it turned out very accurate! So I am at least happy about that (tho it obvisouly was the easy part) The pipeline to produce this kind of training data (from any Warsh recitation) is in the GitHub below. The repo also documents my full exploration of the Tarteel-for-Warsh problem (and quite frankly, of the offline open source tarteel problem in general): what I tried, what's promising, what's not, and what I think the next steps worth taking are: from a non-engineer with little technical expertiste trying to figure it out. I tried to document everything so the repo might be excessively comprehensive at times. It's basically my entire convo with Claude on the subject, condensed in one repo. Please someone take this and run with it! I genuinely believe the right engineers who can make something real out of this are out there First public repo I've ever shared, so if I made dumb mistakes, please tell me! 🔗

UPDATE: Ended up with this cool little tool to both build and verify the training data quality; it turned out very accurate! So I am at least happy about that (tho it obvisouly was the easy part) The pipeline to produce this kind of training data (from any Warsh recitation) is in the GitHub below. The repo also documents my full exploration of the Tarteel-for-Warsh problem (and quite frankly, of the offline open source tarteel problem in general): what I tried, what's promising, what's not, and what I think the next steps worth taking are: from a non-engineer with little technical expertiste trying to figure it out. I tried to document everything so the repo might be excessively comprehensive at times. It's basically my entire convo with Claude on the subject, condensed in one repo. Please someone take this and run with it! I genuinely believe the right engineers who can make something real out of this are out there First public repo I've ever shared, so if I made dumb mistakes, please tell me! 🔗

37,760 просмотров • 3 месяцев назад

me when secular moroccans think i’m on their team just bc im kinda progressive (i just led yesterday’s jumuah prayer on campus)

me when secular moroccans think i’m on their team just bc im kinda progressive (i just led yesterday’s jumuah prayer on campus)

35,374 просмотров • 3 месяцев назад

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