tired of Anthropic’s weekly limits and nerfed models? with one command and a few GPUs,
you can route Claude Code to your own local LLM Buy a GPU p.s. full video tutorial pinned at the top of my profile
@theahmadosman
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Run Claude Code Locally on Your Own GPU Setup
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ChatGPT-5 Pro Generates Custom Dev Tool Configurations
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pro tip: tell ChatGPT-5 Pro (or o3) “build me tmux/neovim/vscode configs based on my workflow from our conversations” you’ll be surprised how good it actually is
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Ollama Alternatives: LMStudio, Llama.cpp, vLLM and More
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ollama alternatives > lmstudio
> llama.cpp
> exllamav2/v3
> vllm
> sglang among many others like literally anything is better than ollama lmao -
Build Your Own Byte-Pair Encoder: LLM Engineering Fundamentals
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step-by-step LLM Engineering Projects each project = one concept learned the hard (i.e. real) way Tokenization & Embeddings > build byte-pair encoder + train your own subword vocab
> write a “token visualizer” to map words/chunks to IDs
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Monitor r/buildapcsales for AI hardware deals and computing equipment
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keep an eye on r/buildapcsales
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Open Weights Models Secured Against Permanent Loss
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open weights already backed up, boy will never retire
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Model Design Philosophy: Function Calling vs Original Purpose
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it wasn't made for function calling it was the crown jewel of that generation of models
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China Dominates Open Source LLM Releases in 2026
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China saved opensource LLMs between July 16th and today, these are the major releases: > DeepSeek V3.2 > GLM-4.6 (335B-A32B) > Qwen3-VL-30B-A3B (Instruct & Thinking) > Qwen3-VL-235B-A22B (Instruct & Thinking) > Qwen3-Next 80B-A3B (Instruct & Thinking) > GLM-4.5V (VLM,
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OpenAI Leads AI Race While Anthropic Faces Amazon Acquisition
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>people saying OpenAI won today
>maybe they did
>maybe someone else will win next drop
>it will keep changing hands >one thing’s for sure though
>Anthropic winning is NOT on the table
>theyʼre Amazon-bound
>not serious people