This is only true if they can't saturate token production with a model that does less superfluous things. Given that they can (they're hilariously compute strained), having a model that solves tasks more quickly adds way more perceived value to users.
replyWell they decide what a token is. So they can do less superfluous things and backfill with a weaker model.
replyOnly if the customer is paying per token. If it's by subscription they're burning their own money
replythe subscriptions all have limits. when you hit the limit you again start paying per token.
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replyAgreed although the differences between the effort and reasoning is massive. I generally ship 40 hours in three with AI. I could not figure out why my delivery was behind until I started going through the logs. The thinking was extensive, the effort was beyond the original request by a magnitude of 50x
replyHow do you even know that it's consistently 40 hours in 3? What kind of developer ever had that kind of estimation accuracy (unless it's really repetitive) or even focuses on productivity rather than the problem like that? This sounds more like factory work than design or development. I really don't get it.
reply> I generally ship 40 hours in three with AI.
replyYou ship 3 hours in three with AI. The old number is meaningless now.
Just like me fr fr
replyA.k.a. theft.
replynice conspiracy theory, but it doesn't hold. these companies won't last long if people don't get actual work done.
replyThere's a big chance these companies won't last long
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