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These models inherently cannot be truthful because there is no intelligence behind them that can have any sort of intent at all.

It’s literally monkeys with typewriters pressing keys randomly.

Until we get new models which have true understanding, they will never be truly useful.

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This gets repeated by the cynics every time like prayer, but it shows a very poor understanding of the current state of research.

Can you explain or share what research is being done on getting machines to understand the meaning and intent of the data and prompts they are given?

Here is just one recent example: https://arxiv.org/abs/2210.13382

If you actually follow the literature, you'll find that there is tons of evidence that the seemingly "simple" transformer architecture might actually work pretty similar to the way the human brain is believed to work.

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