[2024-10-10-keyhole-1024x745] The Open Source Initiative (OSI) continued their condescension towards the community today in a self-congratulatory post explaining How we passed the AI conundrums , like they were Alexander slashing through the Gordian knot (the article’s featured image is a modern eq…

“Some people believe that full unfettered access to all training data is paramount.” Sorry if there is any culture gap, language gap, or misunderstanding, but the very first sentence reads like a disagreement with those “some people”. That article reverted the logic. For an AI model, the training …

Regarding the table, an alternative (and maybe easier to understand) form may look like: Output=(emacs binary executable) ← engine(GCC) input(emacs.c, emacs.h) Output=(neural network) ← engine(training software) input(training data)

While I’m with you regarding that draft makes no sense as it stands by not treating training data as a “source” for AI models, it feels like your post overcomplicates things quite a bit. I personally had a hard time following what’s written there (ESL here). Does it really have to be that complicate…

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Squaring the Circle of Open Source AI without Data

Open Source AI

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