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They really are. Distance functions used on the encoded embeddings of sentences work stunningly well. While a primitive use case compared to true AI, the sheer
by fdgsdfogijq 4y ago
They really are. Distance functions used on the encoded embeddings of sentences work stunningly well. While a primitive use case compared to true AI, the sheer trajectory of the effectiveness of these models is breathtaking.
- techdragon 4y agoYes but that’s not necessarily progress towards consciousness.
- fdgsdfogijq 4y agoI argue that the effectiveness of the matrix factorizations (creations of abstractions) in the embeddings points to the fact that the math works. Meaning, abstractions that are meaningful are created. Which is a building block of consciousness.
- sweezyjeezy 4y agoIt's kind of a question of progress. Maybe being able to extract a complex abstraction through statistical means is close to 'understanding' or 'consciousness', or maybe abstractions are to consciousness what an amino acid is to a living organism. We don't understand consciousness well enough to confidently say.
- whiplash451 4y agoExcept that, as soon as you step out of the manifolds of embeddings representing the data, the model is happy to provide you with a completely clueless answer (which is bad) but even worse, is not even aware that it is being clueless (which is the really bad news).