> People are excited because there's so much room to improve
That is hype due to OpenAI's excellent marketing and it is clearly overrated. Microsoft essentially has acquired OpenAI and is using AI safety and competition excuses to close source everything and sell their AI snake-oil.
> these are still early days.
Neural networks is not an early concept and LLMs still share the same eternal problems as neural networks. Neither is the way that they have been trained on which still hasn't changed for a decade. Even so, that explains the lack of transparent reasoning and more sophistry that it generates all for more data, more GPUs to incinerate the planet to produce a black box 'AI' model that can easily get confused due to adversarial attacks.
No , but the first MLPs from the 1960's famously couldn't solve the XOR problem , they threw a hidden layer in there and fixed it, and now we're in the 'how many layers can we jam in there' phase.
My point being although neural networks are not new, they keep adding fun new things to it to create novel new features.
That is hype due to OpenAI's excellent marketing and it is clearly overrated. Microsoft essentially has acquired OpenAI and is using AI safety and competition excuses to close source everything and sell their AI snake-oil.
> these are still early days.
Neural networks is not an early concept and LLMs still share the same eternal problems as neural networks. Neither is the way that they have been trained on which still hasn't changed for a decade. Even so, that explains the lack of transparent reasoning and more sophistry that it generates all for more data, more GPUs to incinerate the planet to produce a black box 'AI' model that can easily get confused due to adversarial attacks.