3 ms·
Progress on machine learning at Google has been extremely slow relative to their potential capability. I wonder how much of that lethargy can be attributed Goog
by infoseek12 4y ago
Progress on machine learning at Google has been extremely slow relative to their potential capability. I wonder how much of that lethargy can be attributed Google employees who feel the same way as the author.
- JohnFen 4y ago> relative to their potential capability Since none of us can know what the potential capability is, how can we know that progress has been slow relative to it?
- aix1 4y ago> Progress on machine learning at Google has been extremely slow relative to their potential capability. When you say this, do you mean ML research, the use of ML in products, or something else? Google's definitely behind on the LLM front, but that's just a tiny sliver of the ML landscape (if all the rage at the moment).
- infoseek12 4y agoDefinitely ML in products, Google has made very impressive contributions to ML research. Google’s backwardness in terms of product development is very obvious in regards to LLMs but I think it’s pretty much true across the entire ML board.
- aix1 4y agoThere's a ton of ML in Google products (too much if you ask me). Are there particular areas where you feel more would be of benefit? Or are you thinking ML itself as a product (e.g. through Cloud APIs, that sort of thing)?
- infoseek12 4y agoThere is lots of machine learning baked in behind the scenes in nearly all their projects but there’s a gaping void when it comes to projects where emerging machine learning techniques take front and center. The kind of capabilities we are starting to see from ChatGPT and Stable Diffusion. And in areas like image recognition, they’ve nerfed their offerings so badly companies like Yandex have pulled ahead.