Short answer: because chat is a shortcut to anthropomorphization in folks' brains. It's much easier to assign personality and intent to a chat than a floating head that needs to be 99.999% lifelike in order to not feel completely fake.
Depends what you mean by 'cycle', I suppose. The current hype-cycle _really_ started with ChatGPT; that was the point where people started getting super-excited and declaring that it would replace all human work by next Thursday.
Chat is perhaps the cheapest implementation you could ever build. It's a linear interaction, easy to test, and arguably the easiest to encode/decode (with a fixed set of inputs too). As an added bonus, it has a familiar, well-understood interface.
It is now but it hasn't always been easy to make a computer chat naturally like a human without using canned responses. Chess positions are a much easier interface to implement because it's a closed set and very structured (grid position + piece). But humans don't speak in chess moves so it would be difficult for us to speak to an AI that does.
I'm curious about: alpha go, Watson, and the AI that "conquered" chess. Are those outliers, or part of a larger story? It feels to me a contemporary history of AI would mention those milestones.
Uhm… The boom in AI with LLMs wouldn’t have happened without about a decade of major focus on images (both generative models and DNN models that blew traditional image processing out of the water), and planning/optimization type problems (alpha go, chess, etc.). Seems incorrect to claim that chat starts every cycle.
nameless912|1 year ago
random_i|1 year ago
AndrewKemendo|1 year ago
AI cycle in 2012 started with alexnet
AI cycle in 2019 started with Stable Difffusion
rsynnott|1 year ago
unknown|1 year ago
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NBJack|1 year ago
wildzzz|1 year ago
alan-hn|1 year ago
seadan83|1 year ago
P_I_Staker|1 year ago
porcoda|1 year ago