vlad_kalinkin

5 ms·

1.
Show HN: Train 300M/32-Layer Model in 1.5GB RAM on Base M1 Mac
3 points by vlad_kalinkin 1mo ago|0 comments
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Show HN: Ullis – Local Ternary Moe-Kan Training and Inference Engine in Rust(github.com)
3 points by vlad_kalinkin 2mo ago|0 comments
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Kakehashi Update: Running Apple Clang build and lowering overhead to 1.24x
3 points by vlad_kalinkin 2mo ago|0 comments
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by vlad_kalinkin 2mo ago
It's not on the list of goals yet (so far only CLI and a stable basis), but of course if I went to GUI, it would be nice, since I work in Logic Pro :) By the way, has anyone checked if the utility works on Asahi Linux (or on real non-M
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by vlad_kalinkin 2mo ago
Wow! Best of luck with your project. It's truly amazing how our ideas mirrored each other perfectly :)
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by vlad_kalinkin 2mo ago
Based on the commit history, it took about 6 days of active development. As for the AI assistant, I used Grok 4.5 in Build (Medium, no sub-agents, just standard chats and Plan Mode). I can't track the exact hours, but I spent several f
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by vlad_kalinkin 2mo ago
Haha, thanks for the comment! My previous project had a more traditional name: WIE (Wie is Emulator), which was an attempt to run PE64 binaries on macOS via Cranelift JIT. It was an ironic joke nod to WINE (and it still survives in the GitH
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by vlad_kalinkin 2mo ago
Thanks! What I meant is that Kakehashi doesn't require a custom Linux kernel module (LKM). Kakehashi operates completely without root privileges or kernel-level modifications. By "proprietary components," I meant that in my p
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by vlad_kalinkin 2mo ago
That's true. But if we can achieve support for the current stable version, it will be much easier to add new features later or rework the ones that were replaced (unless Apple changes everything on purpose :)
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by vlad_kalinkin 2mo ago
Thank you very much!
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by vlad_kalinkin 2mo ago
Well, of course, most of all I would like to achieve full-fledged support for Xcode Tools (including building iOS applications) and the macOS version of Homebrew. But, of course, there is still a lot of work ahead to get to this point. Than
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by vlad_kalinkin 2mo ago
Thanks for the comment! You guessed it, I did use LLMs during development. While the strict definition of a "clean room" design can be debatable when AI is involved, I'd consider this a "light-gray room" approach. T
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by vlad_kalinkin 2mo ago
Hi HN, I started developing an experimental project with the goal of running macOS CLI binaries natively on Linux ARM machines. As of now, we have working prototypes for: - 7-Zip: Passes multi-threaded compression tests on an 8k-file tree.
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Show HN: Kakehashi – Experimental userspace to run macOS binaries on Linux ARM(github.com)
255 points by vlad_kalinkin 2mo ago|64 comments
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by vlad_kalinkin 2mo ago
I remember using an old 2018 Intel MacBook Air with 8GB of RAM about two years ago. That thing was noisy. Every time I tried to compile a larger project or work in Logic, the RAM would fill up and the fans would go full blast. Now I am on a
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Show HN: WIE – Windows x64 Emulator Prototype for Apple Silicon in Rust
1 points by vlad_kalinkin 3mo ago|0 comments