disiplus

i sometimes use it when i give it an LLM to crosscheck yt videos. like give it a link and do a crosscheck especially on history and financial videos

I don't think there's another way. Everybody is being spammed with Gen AI outputs and the only even to it seems like a paradox way to fight it is with LLMs of some kind or go around it like what the EU is trying to do with watermarking and then detect AI and have different processing for it. I kinda think we could end up there, but we are still not there.

usb not required android adb works wirelessly

no its not, one is you dont resolve anything for the country and therefore dont operate in it, the other is you operate in the country and the block you implemented does not work for my customer. similar how a lot of the US pages blocked europeans from accessing because they did not want to follow the cookie laws.

no, its different, in german case they served germany as a whole but for queries that where supposed to be blocked in germany they did not serve those to germans.

so you operated in germany and your "tricky" way to follow the regulations did not work. if you dont resolve to german customers at all, like you dont exist then nobody can theoretically say you are operating in german. so that is the difference for me.

You stop serving anything for french ips. Its like you dont exist.

this is properly bad as you can run glm on 6000pro, at (in my eyes) pretty good quant, and a q2 on a 5090. im suprised at how good 5.3 flash is at some parts. i still think ds4.1 flash is better but it is more demanding. i hope meta pushes something in a range of 300-400b with a 15-20b active parameters. i know its a crowded space. but it would be fast and probably mostly good enough.

i run opus on medium, sonet on high, and haiku on high for implementation based how complicated is for planing and specing and review opus is on high usually, except if if the task is contained.

did not try to run it on low, will have to try it.

>> "It is difficult to get a man to understand something, when his salary depends upon his not understanding it."

I have both, 6.1 sol is no where near 5x more efficient then opus in day2day. Without numbers i would not even entertain that though and with numbers i would look closly if its the same code. I put it to work on the same repo so i have somewhat of a comparison. Not to mention that opus 5.5 is way better in most of the tasks. Currently openai gives you less for worse idk how did they think that could work.

Was this post generated with LLM, did he properly mention anywhere why exactly did it fail with example or i have trouble reading.

you are not false, but there is still difference. its just that the better models are correct more of the time and will better validate its own steps. glm sometimes will understand the plan start implementing and then forget part of it and then say it finished. or then take a wrong turn somewhere and not correct. but they will all happily proclaim they are correct till you question it.

I would suggest you to hook fable or 5.6 to check it regularly and its work because it gets lost easily on stuff it was not trained on. I'm doing some custom inference engine optimization and it's a workhorse but it can easily lose its way and if you don't recheck it you will get wrong answers in the end.

I also have a legacy pro plan and the only limitation is if you are trying to work in the morning from Europe because you are in the 3x usage overlapping China time but after 12 or so you basically can run it at least for me at least 3 parallel sessions all the time.

Sure, but they are replacing same generation model to another not just switching opus to gpt.