There was a lot of speculation whether or not the model would use them or even if it would attempt to use them and they noted this months ago. Now they have clear evidence of them doing so. Seems reasonable.
it performs well with composition, however it seems SD and SDXL excels in capability and quality when intermixed with pipelines and workflows, this doesn't do much to talk about that comparison and whenever i see things like this i think about the overall workflow, like cool you do good composition but you don't fit within the workflow or ecosystem that surrounds that tool and thus i have low expectations around adoption
the biggest issue i've had for things like this is that ai doesn't understand context very well, anything that is beyond a context window creates hallucinations and it starts making up things that may exist in one location but it tries to apply it to a completely unrelated scenario, would be curious if this does understand the connected pieces appropriately and catches things that break those connections, otherwise it's just another linter?
Definitely! Giving the AI the ability to fetch the context it needs was a big challenge (since larger codebases can't all fit in an LLM's context window) – it's not perfect yet, but the tools it has does give it a remarkable amount of insight into the overall codebase
can't believe I was baited into reading this slop
/jk
good post actually, and a fair point
I do think many people will argue that you can just not review things though.
reply