- green_goglin@thelemmy.clubEnglish2 hours
Advanced AI tools trained by AI agent predecessor(s) which were largely trained with Reddit shitposts.
- magnue@lemmy.worldEnglish3 hours
I missed fable 5. Was nice to use in the 3 days I had access as long as it didn’t refuse.
- pinball_wizard@lemmy.zipEnglish4 hours
Pencil pushers gonna push pencil.
I’ll be surprised if we learn there was actually no dark web back room deal providing this stuff to anyone who didn’t appreciate the law getting in the way.
VaalaVasaVarde@sopuli.xyzEnglish
15 hoursUntil the next deranged post, when it’s another model that is banned.
Valmond@lemmy.dbzer0.comEnglish
15 hoursYeah if Europe stops buying it, you gotta sell it elsewhere I guess?
- Joe@discuss.tchncs.deEnglish14 hours
There is also a commercial aspect…
Bigger models are more expensive to train and serve…
Inference is currently insanely profitable if you have the hardware and the automation in place to support and serve it. At that point, it’s a money printing machine, and you want to squeeze as much out of it as you can.
While training new models is extremely expensive, and serving them probably makes less profit (at least initially).
Having an external brake applied to the frontier labs is likely good for their bottom line, while increasing hype and directing customers’ annoyance away from them.
It’s likely only a temporary benefit, though. The dragon will catch up and apply more pressure, both on inference price and capabilities.
- Dran@lemmy.worldEnglish9 hours
Can you cite your source on the claim that “inference is currently insanely profitable”? Everything I read suggests that openai and anthropic lose money on their plans.
- Alex@lemmy.mlEnglish5 hours
I suspect it’s profitable in the abstract - and their accountants would be bad at their jobs if they couldn’t work out what utilisation rate you need to pay for the server runtime.
However how aggressively you amortise the cost of the training is the key, especially if you keep releasing new models every 6 months.





