So what? Google has been plugging its phone with AI features blah blah. The vast majority dont care about AI to the extent its going to hurt Apple at all. They know that too. Hence they continue going-on and not dumping hundreds of billions into chasing AGI.
Nonsense. I have ran an experiment today - trying to generate a particular kind of image.
Its been 12 hours and all the image gen tools failed miserably. They are only good at producing surface level stuff, anything beyond that? Nah.
So sure, if what you do is surface level (and crap in my opinion) ofc you will see some kind of benefit. But if you have any taste (which I presume you dont) you would handily admit it is not all that great and the amount invested makes zero sense.
> if what you do is surface level (and crap in my opinion)
I write embedded software in C for a telecommunications research laboratory. Is this sufficiently deep for you?
FWIW, I don't use LLMs for this.
> But if you have any taste (which I presume you dont)
What value is there to you in an ad hominem attack here? Did you see any LLM evangelism in my post? I offered information based on my experience to help someone use a tool.
MSFT, GOOG et al have an enormous army of engineers. And yet, they dont seem to be continually releasing one hit product after another. Why is that? Because writing lines of code is not the bottleneck of continually producing and bringing new products to market.
Its crazy to me how people are missing the point with all this.
From outside as consumer. The end problem is that these product do not compete on price. A chat app on enterprise at the scale of customers they have should probably be 1€ a month. Not 10 or 20€.
That might not be multi billions a year business, but maybe chat app should not be one.
I think a big factor is generational. Bigcos are led mlby generations that are phone or email first. Chat is an afterthought. For orgs like that, Teams is great if chat is your least important collaboration method.
