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The reality is we all would love an AI that improves on its own. Look at all those chatgpt examples that were shared because it got something wrong. If only we
by josho 3y ago
The reality is we all would love an AI that improves on its own. Look at all those chatgpt examples that were shared because it got something wrong. If only we could make gpt learn then it would only get it wrong once that would make it so much more useful.
And therein is the problem we all want this. But as soon as we allow the AI to learn on its own we have introduced the alignment problem. And of course on day 1 nobody will see gpt correcting itself on simple questions as an issue. But on day 365 after it’s been learning at an exponential rate and we’ll have all realized that it’s too late because it’s learned faster than we have.
- __loam 3y agoHas anyone thought about what it would actually take to make gpt learn at an exponential rate? GPT4 from 3 was already starting to see diminishing returns. GPT3 cost $4.6 million dollars to train. 4 cost $100 million, an order of magnitude more, and required an enormous amount of data. All these training algorithms are O(n^2). Do we actually expect these things to grow exponentially or is it more realistic to expect we're going to spend a lot of compute and treasure only to see disappointing results?