LaurensBER
Joined 15 years ago
Joined 15 years ago
I cannot speak for everyone else but for us (20 people company) AI spending has definitely peaked and is trending downwards. We're consolidating providers and heavily experimenting with "good enough" models.
Asking questions was difficult and any difficulty questions I might ask would not get a response anyway.
Answering questions was a gamble, sometimes you would get rewarded, most of the time you would not.
It doesn't, this kind of language policing is all about control and power.
A friend of mine worked as consultant with a big bank in London. They would get weekly emails about what kind of "newspeak" is allowed or not.
They seriously banned terms such as an "all hands meeting".
Woke 1 was absolutely crazy.
You can squeeze customers quite a bit but once they go back to pirating it's incredible hard to get them to subscribe again.
This is a great summary of the entire issue with the game.
I really tried to like it but it didn't inspire any enthusiasm. I didn't really care for the plot, the stakes seemed so low compared to the previous title and none of the races/planets really scratched that explore itch.
I haven't tried this model yet but Deepseek and the GLM 5.3 series do feel like "enough" for a lot of tasks, it's pretty amazing to see that we're still getting better and cheaper models all the time.
I only wished they would focus more on wall clock time. For a hobby project I do not mind that a cheaper model takes twice as long but at work it's hard to justify using a "cheaper" model if the time per task is so much higher than the frontier models.
The amount of time that it took to complete a benchmark is almost never shown in these kind of releases.
Probably a pretty decent model for 90% of the usecases!
I've been doing a lot of hobby work with GLM 5.3 Flash and I can count the amount of times that I need a stronger model on two hands.
I have access to unlimited tokens at works and Opus is great but also often overkill if you know exactly what you need.
Not to mention that it can be very strategic to break context. E.g, after chasing a bug for a while it does make sense to summarise all the approaches that did not work so that you have more context available for newer approaches.
Getting 99% cache hit rates while providing a good user experience is the hard part!
One level deeper is all numbers though.
And eventually it's all 0 and 1s!
This just points out how incredibly incompetent everyone involved is about technical matters (I will refrain from making comments about their competency in other fields but I'm afraid that this is not a great sign).