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I really don't understand why you think this, every large tech company is piling billions into AI projects now they've seen what ChatGPT can do, OpenAI is absol

I really don't understand why you think this, every large tech company is piling billions into AI projects now they've seen what ChatGPT can do, OpenAI is absolutely killing it, dozens of engineers from Google's AI teams have left over the last few years to do start ups and there's literally dozens of start ups in the AI space getting funded. Not to mention all the incumbents who are now jealously guarding their training data, there's no free lunch on training sets. This is probably the most difficult industry to compete in right now, not the easiest.

jhoelzel 4y ago
There are papers on it from people more knowledgeable than me but what it comes down to in ML is always the dataset. A machine that is already ready to generate datasets for you improves the quality many times. That means with every Version of ChatGPT, the datasets for other companies grow richer. My personal take is that it takes many AI's in combination with a kubernetes like control loop to reach AGI not a single big one. Take for instance programming. Given enough iteration and therefore money AutoGPT can reach "somewhat usable" code and just like in regular development the whole deal comes down to testing of what you desire. Therefore if you can find a way to "test" your dataset you can iterate automatically and that's easier for some task and more difficult for other but still possible. The common thought is that an AI model needs to "know it all" but as they thought me in business psychology, that's actually not even true for humans themselves. Furthermore, i have mentioned the new "cards" from NVIDIA who are even more powerful than what we had before So yeah i think the space is still wide open.