this post was submitted on 11 Feb 2024
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Throwing that kind of stuff at an LLM just doesn't make sense.
People need to understand that LLMs are not smart, they're just really fancy autocompletion. I hate that we call those "AI", there's no intelligence whatsoever in those still. It's machine learning. All it knows is what humans said in its training dataset which is a lot of news, wikipedia and social media. And most of what's available is world war and cold war data.
It's not producing millitary strategies, it's predicting what our world leaders are likely to say and do and what your newspapers would be saying in the provided scenario, most likely heavily based on world war and cold war rethoric. And that, it's quite unfortunately pretty good at it since we seem hell bent on repeating history lately. But the model, it's got zero clues what a military strategy is. All it knows is that a lot of people think nuking the enemy is an easy way towards peace.
Stop using LLMs wrong. They're amazing but they're not fucking magic
The thing that surprises me is people think human brains are significantly different than this. We are pattern recognition machines that build perception based on weighted neural links. We’re much better at it, but we used to be a lot better at go too.
I agree that a lot of human behavior (on the micro as well as macro level) is just following learned patterns. On the other hand, I also think we're far ahead - for now - in that we (can) have a meta context - a goal and an awareness of our own intent.
For example, when we solve a math problem, we don't just let intuitive patterns run and blurt out numbers, we know that this is a rigid, deterministic discipline that needs to be followed. We observe and guide our own thought processes.
That requires at least a recurrent network and at higher levels, some form of self awareness. And any LLM is, when it runs (rather than being trained), completely static, feed-forward (it gets some 2000 words (or 32000+ as of GPT-4 Turbo) fed to its input synapses, each neuron layer gets to fire once and then the final neuron layer contains the likelihoods for each possible next word.)