yeah! We should all get together and do a bunch of free work so the big companies can leverage it without having to pay. Who's with me!
hmm, maybe I'm a pessimistic misanthrope.
hmm, maybe I'm a pessimistic misanthrope.
They were talking about making models in a more collaborative fashion, which is a non-obvious problem. Models are heavy, single-task oriented and expensive to train from scratch.
That's the great thing about open source. It's for everyone without discrimination.
edit: i'm probably being a bit hyperbolic about the usecases for ML. But the hyperscaler thing still holds: most of the interesting usecases i know of could be done more lowtech with more expert knowledge, with more parcimonious usage of stochastic optimization.