TFenrir t1_ird090m wrote
Reply to comment by [deleted] in Google & TUAT’s WaveFit Neural Vocoder Achieves Inference Speeds 240x Faster Than WaveRNN by Dr_Singularity
The nature of these research papers are
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That they often come out of private companies research. So much of the data used to train or the models that come out of the research are, understandably, not just available for anyone to use.
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The research papers often are reproducible - the mechanisms and the architecture from them directly contribute to open source efforts. Take a look at the stable diffusion subreddit, a research paper came out a few weeks ago, from Google, and now the techniques from that are being applied. I just saw another research paper that came out less than a week ago from Google being applied to create 3d models.
[deleted] t1_ird11zt wrote
Sure, I agree 100%. And perhaps it's just me harping on the OpenAI thing. A company promises open everything, gets a billion dollars in funding, then releases a GPT-3 API instead of source code release.
And the SD point is well taken, something to be said for a group that can take any of these research papers and then release an open source model as a result. I think they are now raising $100m with a $1b valuation, good for them.
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