I'm using kimi-k3 on a real high level dev & analysis task at the moment (with Gemini flash for fast implementation) and it is fantastic.
I think we have passed the point where frontier intelligence is commoditized.
Fable-1m-max-thinking output, despite being incredibly slow and expensive, feels like it bucked a trend towards superficial loquaciousness in their models that had been building since 4.6.
I'm a bit of a luddite when it comes to upgrading models, fable was the first one to make me give up Opus 4.6-1M-max.
* https://github.com/HarbourMasters/Shipwright/pull/7047
* https://github.com/HarbourMasters/Shipwright/pull/7070
just need to give it clear direction, guide it about how to properly use hooks / preserve decomp code, rewrite all the comments, go back & redo things when it spits out some ugly hack, ...
but this does save time, especially considering this is working with decomp code where many functions are random hex addresses
If you look at the hiring marketplace, being just marginally better than your peers can be very lucrative.
If you’re competing on speed or capability as a company (or as an employee), you’re probably going to be willing to pay for the frontier.
I would say that in software this is completely false.
Someone straight out of college, not very useful, makes 75-100K.
Top level senior outside of FAANG is making twice that at best (and at least 10x more capable).
Good enough with a lower price will win the masses