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Typically, we expect to be able to run "open source" software ourselves. If you open-source your C compiler, I can compile a C program with it. In a few recent
by quotemstr 4y ago
Typically, we expect to be able to run "open source" software ourselves. If you open-source your C compiler, I can compile a C program with it. In a few recent high-profile cases though, companies have "open sourced" ML systems without releasing the model weights. This practice is just like your releasing the builds scripts for your C compiler, but not the compiler itself. While more transparency from social media will be enlightening, calling a release like this (or LLaMA) "open source" feels like equivocation. I'd love to see more full releases, weights included.
- vonmoltke 4y agoRunning this code would require a lot more than just the exported models. There are a large number of code and system dependencies missing.
- quotemstr 4y agoOf course --- but without the model parameters, even stubbing those systems would be useless. My point is that while this release gives the public some information about how Twitter ranks tweets, it doesn't tell the story because huge pieces of "the algorithm" are missing. For example: the NSFW classifier "open source" release doesn't tell us anything about what Twitter considers NSFW and what it doesn't.