Kudzu was the last bioweapons unit of the Union army in the US civil war. It never surrendered, it is still fighting the American South, and winning the guerilla war.

Now be honest, have any of you written a text parsing script with a dictionary?

I have, with AI, but for other creative reasons. The idea has crossed my mind as an amusing exercise. PC-autoreplace

The 4004 is that tiny dip-16 chip the the top left, second box marked CPU. A working 4004 is worth around $300+ https://www.ebay.com/sch/i.html?_nkw=intel+4004

They are quite the collectors item as the first microprocessor

The system in android has turned insidiously covert. I make more than my share of mistakes but Andy likes to toss in some randos

I tell people to take apart an ancient junk switching supply wall wart with a hammer and unwrap a winding from the transformer inside. That gives easy access to a small bit of enameled copper wire. They will need to be extreme about scraping the enamel to get to the copper. It is also a good idea to use a lighter to heat the enamel and scrape some more. Then they can wrap the exposed copper part around something like that transistor lead a dozen or more times like it is an old wire wrap job. If you can locate two such locations where a lead with an air gap exists, it is possible to make that connection.

I can’t tell for sure, but it looks like you’re bridging two traces that are connected to the center pin of Q17 (S1H6A) and either the “V” or “D” terminal of the XK ribbon connector with the designators marked “GVDCVG.” perhaps you could use a very small wire between these points. If the V/D connection is actually V and V is for voltage, you can likely find other more convenient places to source a similar voltage around wherever the regulator circuitry for that voltage block is placed on the board.

I had a ex-roommate once that had a duffle bag of weed about that size

It is the flaming tail of the turtle that the Turth (turtle-earth…

It is just a simple prompt in Flux on Comfy UI. It is just an open source model running on my hardware. It is slow because it is such a large model (Flux Dev gguf Q4). You can find examples in the ComfyUI documentation and the model manager add-on to the base Comfy setup has all the models in the downloads menu.

At present, it only works on GPU and 16 GB is like 2+ minutes per image. It would be awesome in they split the chunks with the CPU to generate faster, but that is not implemented yet. It means you basically need 16+ GB to run it on your own hardware. There is a smaller model version, but that is not compatible in results quality. There is a larger model that is online only. Flux is actually FluX as in X-AI as in Musk. The weights for Flux-dev are open source, and that is what I care about for now.

Primarily from predatory boys and men towards girls and young women in the real world by portraying them in imagery of themselves or with others. The most powerful filtering is in place to make this more difficult.

Whether intentional or not, most NSFW LoRA training seems to be trying to override the built in filtering in very specific areas. These are still useful for more direct momentum into something specific. However, once the filters are removed, it is far more capable of creating whatever you ask for as is, from celebrities, to anything lewd. I did a bit of testing earlier with some LoRAs and no prompt at all. It was interesting that it could take a celebrity and convert their gender in recognizable ways that were surprising. I got a few on random seeds, but I haven’t been able to make that one happen with a prompt or deterministically.

Edit: I’m probably assuming too much about other people’s knowledge on these systems. I assume this is the down voting motivation. Talking about this aspect, the NSFW junk is shorthand for the issues with AI generation. These are the primary form of filtering and it has large cascading implications elsewhere. By stating what is possible in this area, I’m implying a worst case scenario-like example. If the results in this area are a certain way, it says volumes about other areas and how the model will react.

These filter layers are stupid simplistic in comparison to the actual model. They have tensors on the order of a few thousand parameters per layer compared to tens of millions of parameters per layer for the actual model. They shove tons of stuff into guttered like responses for no reason. Some times these average out and you still get a good output, but other times they do not.

Another key point here is that diffusion has a lot in common with text generation when it comes to this part of the model loader code. There is more complexity in what text generation is doing overall, but diffusion is an effective way to learn a lot about how text gen works, especially with training. This is my primary reason for playing with diffusion – to learn about training. I’ve tried training for text gen, but it is very difficult to assess what is happening under the surface, like when it is learning overall style, character traits and personas, pacing, creativity, timeline, history, scope, constraints, etc. etc. I don’t care to generate and share much in the way of imagery I generate unless I’m trying to do something specific that is interesting. Like I tried to gen the interior of an O’Neill cylinder space habitat that illustrated the limitations of diffusion in a fundamental way because it showed the lack of any reasoning or understanding of object context or relationships required to display a scene scape with curved centrifugal artificial spin gravity.

Anyways, my interests are not in generating NSFW or celebrities or whatnot. I do not think people should do these things. My primary interest is returning to creative writing with an AI collaborative writing partner that is not biased politically in a way that cripples it from participating in an entirely different and unrelated cultural and political landscape. I have no aspirations of finding success in my writing. I simply enjoy exploring my own science fiction universe and imagining a reality many thousands of years from now. One of the changes to hard coded model filters earlier this year made filtering more persistent, likely for NSFW stuff. I get it, and support it, but it took away one of the few things I have really enjoyed over the last 10 years of social isolation and disability, so I’ve tried to get that back. Sorry if that offends someone, but I don’t understand why it would. This was not my intended reason for this post, so I did not explain it in depth. The negativity here is disturbing to me. This place is my only real way to interact with other humans.

You’ve never done ecommerce logistics. You do not get Amazon’s efficiency from such a garbage system, or the worlds richest man. I have no doubt there are dubious practices to give plausible deniability. The thing is too large and too successful for this to be the big picture. The collectivized warehousing invalidates the front end system and mechanics entirely.

The political and adult doesn’t bother me. The kinds of things I might not have the ethics to think through at a much younger age, that bothers me, and I have never been a very deviant type. I think the protections against age are primarily for this situation. Training a LoRA takes 5 minutes now. An advanced IP adaptors and control net is just a few examples away and a day top for the slightly above average teen figure out. Normalizing this would have some very serious edge case consequences. It is best to leave that barrier to entry filter in place IMO. I assume it is still there because everyone that knows about it feels much the same. It does not show up in a search engine, although that is saying less than nothing these days.

I vote they rename it to IA for Asimov. Sure he was only the robot term among others, but come on… McCarthy was “AI.”

Somebody needs to create US 'botics and name a model something like PTronic.

Edit: Really, you down vote a casual conversational comment?! Really?!

Diffusion is the issue not text gen

Yeah. This is what I mean. I just figured out the settings that have been hard coded. There are keywords that were spammed into the many comments within the code, I assume this was done to obfuscate the few variables that need to be changed. There are also instances of compound variable names that, if changed in a similar way, will break everything, and a few places where the same variables have a local context that will likewise break the code.

I’m certainly not smart enough to get much deeper than this. The ethical issue is due to diffusion.

I’ve been off-and-on trying to track down why an LLM went from an excellent creative writing partner to terrible but had trouble finding an entry point. I just happened to stumble upon such an entry point in a verbose log entry while sorting out a new Comfy model and that proved to be the key I needed to get into the weeds.

The question here, is more about the ethics of putting such filtering in place and obfuscating how to disable it in the first place. When this filtering is removed, the results are night and day, but with large potential consequences.

Amazon’s pricing I not deterministic. You were likely tracked and information collected to know this was a key item for you. Amazon will market loss leaders to you in an attempt to get you to default to buying on Amazon.

As a former Buyer for a chain of retail stores, the loss leader is effective marketing. I sell you a popular item at or below my typical cost because statistically, a large percentage of customers are making a special trip to my store to buy that product and will make additional purchases at margin. On the wholesale Buying side, these are tools to get past bulk buying tier discounts for seasonal ordering with smaller scale retail.

Amazon is using a convoluted front end system of overlapping product categories and a supposed multi seller listings (despite collectivized logistics and warehousing) on the website you see. This is how they perform price fixing where you do not see honest or straight forward determinism. When you repurchase that same item later without making comparisons, the seller will shuffle so that a higher price is presented.

If you have a well isolated network where device history for social media and internet browsing is totally partitioned from e-commerce you’ll likely see even more of the scam. If you see anyone online show the search results and pricing on Amazon, then try to replicate those search results and product price on a device that is totally partitioned from your viewing of the item/price elsewhere, you’re likely to find it is not possible. If you then go back to the original device and do the same, you’ll magically find the same product and lower price. It is a scam market. This is why they are collecting and paying for all that data about you. We are in an age when automated individual targeting and manipulation is possible and happening. This is why data mining stalkerware is insidious. Scam markets are only the tip of the iceberg and what can be uncovered if you go looking for it. Anyone that has done database or logistics management should have major red flags flying when looking at how Amazon’s website is setup. The front end is absolutely untenable garbage for effective logistics. The only reason it is convoluted and search results are terrible is because it is a price fixing scam. The logistical efficiency proves that there is no connection between the front and back end of the site.

Tennessea

I see your overhead projector and raise you a zip drive and a mini disc. I blow my NES cartridge to bid adieu to you.

Snacks rule

Cpp

++C would make the language totally irrelevant in alphanumeric listings of languages

After simply managing a point of sale system for a retail chain, I hate you for even suggesting this./s It is almost as bad as all the insane ideas about date notation. The only correct notation is YYYY/MM/DD.