Let's take a first look at the new ChatGPT o1 model - a state-of-the-art reasoning AI model from OpenAI that shows unmatched abilities in math, science, and coding.
What does that even mean? Neural networks have varying levels of complexity, even within the same technology. Even the same LLM model can have different number of tokens that differentiate the complexity of their operation.
So instead of using a neural network that is designed to input and output text and making it learn to output coding, which is also text, you think it’s supposed to be easier for them to make it instead analyse various video and audio input from multiple cameras, and then output the various actions that is required for it to drive a car?
Does that make sense to you?
What does that even mean? Neural networks have varying levels of complexity, even within the same technology. Even the same LLM model can have different number of tokens that differentiate the complexity of their operation.
So instead of using a neural network that is designed to input and output text and making it learn to output coding, which is also text, you think it’s supposed to be easier for them to make it instead analyse various video and audio input from multiple cameras, and then output the various actions that is required for it to drive a car? Does that make sense to you?
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Doesn’t sound like you understand it very much, like I thought so.
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Oh, you actually know what your problem is, good job.
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Says the guys who started throwing the insult. It’s nice that you are kind of self aware of your own shortcomings.
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And keep repeating those words until you’re satisfied. Maybe you can finally understand why they’re meaningless.