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not long ago these people would have you believe that a next word predictor trained on reddit posts would somehow lead to artificial general superintelligence
So the models' accuracies won't grow exponentially, but can still grow linearly with the size of the training data.
Sounds like DataAnnotation will be sending out a lot more LinkedIn messages.
Where do these large "AI" companies think the mass amounts of data used to train these models come from? People! The most powerful and compact complex systems in existence, IMO.
not long ago these people would have you believe that a next word predictor trained on reddit posts would somehow lead to artificial general superintelligence
> The AGI bubble is bursting a little bit I'm surprised that any of these companies consider what they are working on to be Artificial General Intelligences. I'm probably wrong, but my impression was AGI meant the AI is self aware like a human. An LLM hardly seems like something that will lead to self-awareness.
The "hard problem", to which you may be alluding, may never matter. It's already feasible for an 'AI/AGI with LLM component' to be "self-aware".
> The AGI bubble is bursting a little bit I'm surprised that any of these companies consider what they are working on to be Artificial General Intelligences. I'm probably wrong, but my impression was AGI meant the AI is self aware like a human. An LLM hardly seems like something that will lead to self-awareness.
> The AGI bubble is bursting a little bit I'm surprised that any of these companies consider what they are working on to be Artificial General Intelligences. I'm probably wrong, but my impression was AGI meant the AI is self aware like a human. An LLM hardly seems like something that will lead to self-awareness.
An embodied robot can have a model of self vs. the immediate environment in which it's interacting. Such a robot is arguably sentient. The "hard problem", to which you may be alluding, may never matter. It's already feasible for an 'AI/AGI with LLM component' to be "self-aware".
> OpenAI's latest model ... failed to meet the company's performance expectations ... particularly in answering coding questions outside its training data. So the models' accuracies won't grow exponentially, but can still grow linearly with the size of the training data. Sounds like DataAnnotation will be sending out a lot more LinkedIn messages.
EDIT: here's the paper https://arxiv.org/abs/2404.04125