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[return to "Ask HN: Is anyone else getting AI fatigue?"]
1. rythms+D6[view] [source] 2023-02-09 11:55:06
>>grader+(OP)
https://en.wikipedia.org/wiki/Gartner_hype_cycle
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2. krona+k8[view] [source] 2023-02-09 12:06:08
>>rythms+D6
I think Machine learning already went through the trough of disillusion around 2016-2018 in computer vision and around 2018-2020 for voice assistants.

I think we're now past that and people can see that tools like ChatGPT are powerful enough to be applied in many pre existing contexts and industries in unpredictable and inventive ways without huge amounts of manual configuration, which makes it more exciting.

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3. qsort+la[view] [source] 2023-02-09 12:18:40
>>krona+k8
Machine learning is way too generic of a term. Everything from linear regressions to neural models is technically "machine learning".

Language models are right now at the very top of the peak of inflated expectations. It's still too early to tell what the real impact will be, but it won't be even remotely close to what you read on the headlines.

Far more impressive technology (like Wolfram Alpha) has existed for almost a decade now, and it's directly comparable to language models for many applications.

My guess is they will end up being something like Rust. Very cool to look at, little impact on your day-to-day.

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