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Nothing will happen, we already have kind of translation activities happen between "incompatible views" in real life, it works.

Besides, in weights there are no real incompatibility can happen, all is unified with same math chain through architecture. Different set of local minimums/maximums can have different strong/weak consequences but nothing incompatible.

Different consistent representations also mean that model probably can be simplier for the same task, sign of excessive capacity, imho

Very educative, thanks for sharing the story!

They are used a lot, and modern edit models kind of support base cases - depth, canny, openpose - as a reference image. I mean they understand "use image 2 as depth map", result indeed have same depth, etc. But interpretation sometimes arbitrary to model.

For the tasks where several control nets should be adhered (depth and canny and segmentation) dreaded SDXL is still unmatched. SDXL also the only one handling influence weight for each control net normally, this ability completely vanished on modern models

Control nets in early post-SDXL models like ZIT or Flux kind of work too, but still much worse in quality when combined. I suspect pure diffusion architecture of SDXL is really favorable to mixing control signals with precision, DITs probably can be trained to similar level for mixing signals - but it is much harder and never seen in practice. At least every post-SDXL model I tried is trained with single one in mind, judging from my attempts. This rant is from personal expirience.

Great explanation, thanks! Would be cool to see this for people BSky instead of ex-Twitter

To understand hate against Adobe one have to experience attempt to stop Adobe subscription from renewing. This is truly life-changing experience.

Drone units of occupation forces of Russia are primary taegets for AFU and due limited control distance for FPVs, Russian drone units are serving at the zero line, actually. So they are sent to actual front lines constantly (despite what Russia officially claims)

May be Ethereum should fund 10000 agents to pursue new crypto math with provable strongness/hardness

Also Krita

Yes, why not. "If then ..." Is for "harness", but the answer to prepared question is for jev-like cheap and fast service

Worth to mention that with Claude and GPT this can be result of tournament sampling, which is part of text watermarking. Same answer for all Claude models kind of confirm it, imho.

So not something internal to model thinking.

> AGI is here

If AGI is "Attractions to Get Investments" then yes, it's happening

Well said!

Great, this is unique trait and helpful one - Firefox is here to stay

This "hidden knowledge" is fun to read but pain to remember and use, especially when working with multi-platform environments //

Switched from bash to plain python scripts for shell stuff everywhere several years ago, and never looked back into bash zoo anymore. Stable syntax across Win/Mac/Linux, no bash/zsh/msys2 obscure differences, normal errors and Clause writes scaffolds quick and flawless anyway