Ha, yeah sure, and trains will never go faster than 15mph.
Natural language computing is huge at the moment because it’s a huge and significant development in computing - yes there are lots of shitty ai girlfriend apps and the same goes for generative ai there are lots of shitty art apps but human language interfaces aren’t going away nor are generative design tools.
Even just the coding tools already available for free are a game changer, every single programmer I know and all the coding communities I’m in are using chatGPT regularly. When generative design gets into other areas such as cad and cam with natural language and problem solving (as in task based algorithms like the Go solver) then you’ll start to see the how ubiquitous and significant these technologies are.
I understand why you’d look at the first commercial computers and think that no normal person will ever have a use for them but look at where we are now. The same is true for ai, current stuff is amazing when carefully worked and it takes a lot to get it all wired in but as the ecosystem of code grows and training sets become better established everything becomes much easier which enables more effective use cases.
Ha, yeah sure, and trains will never go faster than 15mph.
Natural language computing is huge at the moment because it’s a huge and significant development in computing - yes there are lots of shitty ai girlfriend apps and the same goes for generative ai there are lots of shitty art apps but human language interfaces aren’t going away nor are generative design tools.
Even just the coding tools already available for free are a game changer, every single programmer I know and all the coding communities I’m in are using chatGPT regularly. When generative design gets into other areas such as cad and cam with natural language and problem solving (as in task based algorithms like the Go solver) then you’ll start to see the how ubiquitous and significant these technologies are.
I understand why you’d look at the first commercial computers and think that no normal person will ever have a use for them but look at where we are now. The same is true for ai, current stuff is amazing when carefully worked and it takes a lot to get it all wired in but as the ecosystem of code grows and training sets become better established everything becomes much easier which enables more effective use cases.