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Open-source AI explained

2 parts

What open means for models: weights, licenses, and the homework of running things yourself. Not a free lunch.

Start with part 1 →

  1. 1 What open means: weights, license, not a free lunch "Open" in AI is three different claims: open weights you can download, open source under the OSI bar, and a free chat box. This part names the gap, why Llama-style licenses are not MIT, and why local is a control choice, not a free lunch.
  2. 2 Hosted open models vs download to your machine Hosted open models and a download to your machine are different places for the same weights. This part splits Groq, Together, Fireworks, and chat UIs from Ollama, LM Studio, and llama.cpp, and it flags the trap where one app has a cloud toggle.
  3. 3 Model size, quantization, and will my laptop run it? Rafi pulled llama3.1:70b onto a 16 GB M2 Air, where the library listed 43 GB at Q4, the fan became a leaf blower, and the first token took 4 minutes. Parameter counts are clothing sizes, quantization shrinks the file, and RAM decides whether the laptop can talk. Scheduled · September 14, 2026
  4. 4 Privacy reasons normal people care A local desktop runner can still ship your prompt to a host if cloud mode is on. This part maps what leaves (text, files, metadata), when local is worth the heat, and when a $20 work chat is the honest privacy move. Scheduled · September 15, 2026
  5. 5 Quality without benchmark theater A Slack screenshot with a model two slots above Llama is not a quality test. Run five real tasks from your week, score pass or fail, and ignore a 0.3 point LMSYS jump when the file you load is 4-bit and the board ran something else. Scheduled · September 16, 2026
  6. 6 Safety: random models on the internet A GGUF from a random Hugging Face account is software you run on your machine. Prefer official orgs and known converters, read the model card, match file size and license, and skip mystery installers before you load anything. Scheduled · September 17, 2026
  7. 7 When ChatGPT, Claude, Gemini, or Grok is simply easier Open weights are a download you can run, not a writing personality, so everyday drafts, tools, and memory still belong on a Plus or Pro chat around $20 as of writing. Local still wins when files cannot leave, when you are offline, when volume is huge, or when the lesson is the stack itself. Scheduled · September 18, 2026
  8. 8 Open-weight vs open-source software vs free to use Nia told legal a Llama download was open source, and counsel printed a 14-page acceptable-use pack on Friday. Open-weight, open-source software, and permission to use a model at work are three different sentences, and a free chat UI is none of them. Scheduled · September 19, 2026
  9. 9 Reading a model card without getting lost Pavel downloaded a 70B GGUF onto a 16 GB laptop because the first badge on the Hugging Face card looked official. Read a model card like a spec sheet: publisher, license, chat vs base, file size, and intended use, and skip the giant eval table on the first pass. Scheduled · September 20, 2026
  10. 10 Chat APIs for open models: Groq, Together, Fireworks Yara pasted a Groq key into a script named grok_client.py and watched the console hit $11.40 before standup. Hosted APIs for open weights bill by tokens, still send the prompt off your machine, and a $20 chat seat is a different product. Scheduled · September 21, 2026