wdym by that
> for daily tasks
which are?
why would I ever want 80% of the results though?
What current local models work fine for is delegating clearly-described tasks in a code base the programmer actually understands. Qwen3.6 27B and DeepSeek V4 Flash are both great little workhorses.
There's also GLM 5.2, which is kind of like "store brand Opus", and which might be considered a "near-frontier" model. I don't have as much experience with it.
also just code-that-is-not-as-shit in general
for clearly defined stuff smaller models are fine, but at that point I'd rather write the code myself
in any case, if there's a chance a cheaper model will fuck it up, is the price diff worth gambling with your time?
I get it. These models can be powerful. But will they be useful is a different question.
i would argue that no one knows answer to that yet.
Personally, I am good with the current version of Opus. It is already so strong for my uses that I can't really tell much difference with Fable.
For me, current Opus represents the model strength that can be commoditized. I am not splitting the atom that I need something much smarter.
I have gone completely risk off in the market the last month because of this. Commoditized at the low end and regulation is not going to become less of a problem as the frontier models get stronger.
I suspect 10 years from now we will look back at trillionaire Elon as an obvious tell we are the peak.
Where did you hear this? All the results I can find say the opposite that the US would buy anything.
[1] https://media.defense.gov/2026/Jan/12/2003855671/-1/-1/0/art...
[2] https://www.govinfo.gov/content/pkg/DCPD-202500170/pdf/DCPD-...
[0] https://www.reuters.com/business/openai-proposes-handing-tru...