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JosefAlbers

Re:Building Pi with Pi on Tuesday May 26, 2026 @08:23AM (#48278786)
One example: earlier versions of my mlx-code's harness layer were largely a Python port/adaptation of Pi.
Re:Jmail: Gmail except it's Epstein Files on Wednesday December 24, 2025 @09:27PM (#46381529)
Really cool!
Whoa, thanks! Will definitely look into that
Thanks! I totally agree. I’m looking at ways to further tighten the pairing between Vim’s native tools and LLMs (like with :diff and :make/:copen to run the code, feed errors back to the LLM, then apply the fixes, etc). The catch is model variability—what works for Llama doesn’t always work with R1 because of formatting/behavior quirks, and vice versa. Finding a common ground for all models is proving tricky.
Thanks for the suggestion! The plugin currently supports toggling between <Leader>/<C-*> via USE_LEADER config flag. I will add a field in the config file for more customizability (e.g., "KEYBINDINGS": {"mapl":"<C-a>", "mapj":"<Leader>o", ...} in cfg.json).

Show HN: VimLM – A Local, Offline Coding Assistant for Vim

https://github.com/JosefAlbers/VimLM

VimLM is a local, offline coding assistant for Vim. It’s like Copilot but runs entirely on your machine—no APIs, no tracking, no cloud.- Deep Context: Understands your codebase (current file, selections, references). - Conversational: Iterate with follow-ups like "Add error handling". - Vim-Native: Keybindings like `Ctrl-l` for prompts, `Ctrl-p` to replace code. - Inline Commands:...

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Re:Itch.io Taken Down by Funko on Monday December 09, 2024 @09:51AM (#42366709)
It's working again now.

Show HN: RetNPhi – Phi-3.5 as a Byte-Level LM with RetNet-Inspired Efficiency

https://github.com/JosefAlbers/Phi-3-Vision-MLX/blob/main/assets/retnphi.py

I've been experimenting with transforming Microsoft's Phi-3.5 into a byte-level language model with RetNet-inspired elements. The result is RetNPhi, a hybrid model that combines the strengths of Phi-3.5 with the efficiency of RetNet.Key features:- Byte-level processing for universal file type handling- RetNet's multi-scale exponential decay and group normalization for efficient long-range...

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Show HN: Phi-3-MLX – Language and Vision Models for Apple Silicon

https://github.com/JosefAlbers/Phi-3-Vision-MLX

Phi-3-MLX is an open-source framework that brings the latest Phi-3 models to Apple Silicon using the MLX framework. It supports both the Phi-3-Mini-128K language model (updated July 2, 2024) and the Phi-3-Vision multimodal model, enabling a wide range of AI applications.Key features:1. Apple Silicon Optimization: Leverages MLX for efficient execution on Apple hardware.2. Flexible Model Usage: ...

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