lurkerlady

tl:dw: a fairly large canister from a nasa satellite plummeted from space into a guys house and almost killed his kid. there are some interesting new research papers about making satellites and even rockets out of tempered wood, could solve this

i guess theres an argument that the corporation provided tech doesnt actually want you to maintain your identity and would prefer to make you a complacent and productive little piggy, so lowering empathy would be good. though that should really only be for central nervous system tech, not any tech

regardless, yeah, the people i know with missing parts and surgical implants are some of the nicest people youll ever meet

Synthetic data is basically a fancy way of saying 'I'm properly formatting data and reinforcing the ai's good outputs'. Rearranging words, fixing / adding tags, that sort of thing. This is generated with various tools that usually have an LLM or VLM plugged in, though some are as simple as a regex script.

This is accurate, though I am actually going to explain why. These big model companies (Google, ClosedAI, etc) parasitize the open-weights/open-source community that actually makes good Loras, fine tunes, and research papers. Consumer hardware simply hasn't gotten good and cheap enough for very good fine tune training, and thats why this is all slowly petering out. In a couple of generations of consumer GPUs, which will be when we get consumer GPUs geared towards AI (re: super high VRAM counts of like 70gb+ for an affordable sub 700 usd cost), we might see another leap forward in this tech. Though I will say that this mostly pertains to LLMs, generative AI models like Stable Diffusion have a lot of tricks up their sleeves that can still be explored. Most of recent research and tweaking has been based around building a structure for the AI to build on, to sort of guide it rather than letting it take random stabs at things, in order to improve outputs. Some people have been doing things like hard coding color theory, framing a photograph, etc, and interpreting human language to trigger that hard code.

We've had statistical models like these since the 50s. Consumer hardware has always been the big materialist bottleneck, this is all powered by small research teams and hobbyist nerds. You can throw a ton of money at it and have a giant research team, but the performance you squeeze out of adding 400b more parameters to your 13b model or having a gigantic locked-down datacenter is going to be diminishing.

Also, synthetic data can be useful, people are hating on it in this thread but its a great way to reinforce good habits in the AI and interpret garbled code and speech that would otherwise confuse the AI. I sometimes feel like people just see something about 'AI bad' and upvote it and don't try to understand it, where it is useful and where it is not, and so on.

In the 2023 Bulgarian parliamentary election, the Party of the Bulgarian Communists participated in the coalition Neutral Bulgaria, which included the Bulgarian Communist Party and the far-right Attack party

https://en.wikipedia.org/wiki/Neutral_Bulgaria

https://en.wikipedia.org/wiki/Left_Union_for_a_Clean_and_Holy_Republic

uhhh

idk, i had a stronger emotional reaction to frieren

The sexy neurolictor model is pretty funny though

I think it's possible to have artistic nudity that is classy or interesting, and it really requires good painting skill, but most is just blatant sexual nudity and objectification.

not all workplaces, and it isnt a full on worker coop. very different.

yeah i just read it lmao

and then the magical man deng showed up and everything was better