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Writing it off as a fad is rather ignorant. Sure there’s a lot of hype and bullshit surrounding AI, but it already has strong use cases and earns a profit for the companies involved. It’s still the early years for the tech too, so it is reasonable to expect it to improve in the coming years, both in terms of accuracy and performance.
I’m sitting here really hoping that models hit a plateau in capabilities soon. Continuing to get smaller/more efficient would be great, but if the capabilities of our best models would plateau for a bit and give society time to adjust to the impact I would be very happy.
We’re already seeing a slight leveling off compared to what we had previously. Right now there is a strong focus on optimization, getting models that can run on-device without losing too much quality. This will both help make LLMs sustainable financially and energy-wise, as well as mitigate the privacy and security concerns inherent to the first wave of cloud-based LLMs.