Inbal Shani: prediction

Transcript context

…Do you have an opinion on whether large language models are the end all and be all of where all this goes and just continue to add in compute and data? Or do you think there's another, I don't know, something on the horizon that's going to again completely transform the transformer model of AI? I think we've pivoted very hard towards a generative AI and generalized AI can solve everything. I believe that the future is going back to scale back a bit to the niche AI. So we will live in a hybrid world where you still have specific AI models that are solving very specific problem where the generative AI will have its limitation. It's a general purpose tool, so it can be as good as the data sets, but it also try to find some statistical recommendation. Is it good? Is it not good? So it's limited by the training set that it has and it's trying to be everything for everyone. There are going to be areas where you still need to train models. For example, I spend my time in the aerospace industry and in the automotive industry. I don't see self-driving car models that requires so much delicate, specific models, tuning, high safety regulation, all of that being developed on the ChatGPT. I might be wrong, but I think that eventually we will find ourself in the world of hybrid models and multi-models where there will be several LLM models coming together because each one of them will have their own benefit. And then there's going to be a niche AI or a more configurable customized model for specific use cases. So that's my prediction of the future. But in 10 years from now, we'll all be smarter. Yeah, the future hard to predict.…

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