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How Did We Get Here?

Blog post from Hugging Face

Post Details
Company
Date Published
Author
Nilky
Word Count
525
Company Posts That Month
30
Language
-
Hacker News Points
-
Post removed?
No
Summary

A Hugging Face community member reflects on their enthusiasm for open-source AI, arguing that openly available models such as Qwen and DeepSeek offer greater transparency than closed services whose privacy and security claims cannot be independently verified. Their interest in open-source software began with a Raspberry Pi and evolved from using ChatGPT and Claude to favoring DeepSeek, despite access restrictions and rate limits. Inspired by an interest in older electronics and floppy disks, they began training tiny language models, including the “Single Floppy” model and subsequent experiments, though these projects performed poorly or remained unfinished. The author is now considering purchasing a dedicated PC for model training, while commenters share advice and anecdotes about aging laptops and high-end hardware.

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