a few serious and IMPORTANT words > "Buy a GPU" wasn't meant to be serious
> but the problems were having been deep in the local AI trenches for a few years
> from lurking, to building, to modding r/LocalLLaMA
> to the whole "Buy a GPU" thing, to launching x/LocalLLaMA
OPEN SOURCE
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Local AI Development: GPU Hardware and Community Building Journey
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Organized Strategy Needed for Local LLM Adoption
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I really think this is the way. We need very focused, organized guidance to get people to take Local LLMs seriously. DMs are open if you have any ideas, potential collaborations, or anything related.
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AI Engineering Weekly Tutorials and Open Source Repos
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If you're interested in ML, LLMs, and AI agents and want to receive weekly tutorials and open-source repos, subscribe to AI Engineering (it's free):
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China’s Open Source AI Advantage
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Open source is a wedge — and China will press it. Fast, cheap models at ~1/10th cost change the game. Use what ships, wherever it comes from. Next, small models on the edge: token prices down >90%; edge spend heading toward $378B by 2028; SLM market from ~$930M → $5.45B by
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Qwen3-VL 235B Vision-LLM Monster Released Today
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Plus notes on the 5 (!) new things Qwen released today, the most exciting of which is the first in their Qwen3-VL vision-LLM series, a 235B 471 GB Apache 2 licensed monster!
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Running DeepSeek Locally: VRAM Requirements and Privacy
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is there any site like this to download VRAM? i wanna run DeepSeek locally (for privacy reasons – don't wanna give my data to china)
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Qwen 235B Vision Language Model Released Under Apache 2.0
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NEW: Qwen 235B A22B Vision Language Model is OUTT! Apache 2.0 licensed and upto 1 Million context length
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Open Source Revenue Sharing and Legal Framework Considerations
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Then if the book later makes money you can pull the list of sponsors from GitHub (there's an export CSV button) to share proceeds with them Setting up a legal framework around this would be a whole lot more work though
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Anthropic’s Closed Model Strategy: Profit Over Open Source
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Dario Amodei contorts himself into a pretzel to justify why Anthropic’s models aren’t open source. (The real reason is that he needs to make money, but that doesn’t play well with the “save the world” pitch.) https://t.co/hbc4cMvGFL
— Pedro Domingos (@pmddomingos) 23 septembre 2025Dario Amodei contorts himself into a pretzel to justify why Anthropic’s models aren’t open source. (The real reason is that he needs to make money, but that doesn’t play well with the “save the world” pitch.)
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Nvidia Nemotron’s Superior Performance Influences Llama Model Improvements
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Historically Nvidia’s Llama Nemotron models always outperformed the official Llama variants, and I am sure the llama team took a look at what they did to improve their own pipeline. I am sure they benefited from this, and this wouldn’t have been possible without open source.