Suggestions for the new thread pics. I picked someone from Prima Doll again, but maybe the new tradition should rather be to pick one from the newest good related anime. I think this might still be Prima Doll. At least the newest I've seen. I was thinking about using the girl from ATRI. Maybe next time. The other idea here was the relation between reading the news and having some coffee. In that case we would mostly be stuck with Prima Doll, at least if the girl serving is also supposed to be a robot.

>>24077 They look fine Anon. I'm perfectly fine with animu grills as the opener pic. I'd personally suggest leaving your options of choice wide open. Just that the opener have great waifu appeal, which your choice here does. >tl;dr Go for it NoidoDev! :^)

>>24080 Thanks. If people have suggestions for future opener pics I'm listening. Picrel might be it at some point. But currently it's hot in many places, so the pic of Karasuba with some iced drink fits very well.

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>>24082 > Picrel might be it at some point. I think that's fine tbh.

>>13204 The movement speed perpendicular to objects probably needs tuning due to things like tunnels and guard rails, but otherwise I think it could work great. That hyper-timid driving style might seem excessive, but you've got to consider that the biggest concern people seem to have with autonomous cars is the safety. And if it's really an issue I guess it could still be made to still decelerate safely but not necessarily comfortablely, so the gap between cars can be smaller. There are some places and times where you can go straight on a highway for hours without ever seeing another car and there there's rush hour in New York where bumper to bumper traffic keeps anyone from moving. In the case of the former, the timidness isn't really a significant negative and would mostly just stop it from hitting a deer or anything else that wanders onto the road, hence my analogy of something popping out from a wall. But it would actually help alleviate traffic jams since the reaction time to the change in the speeds of the cars around it could be really high, and if a significant number of cars followed this method, then there'd be a large group of cars all slowly creeping while leaving enough room to pass and merge lanes instead of idling and random accelerating/decelerating and people trying to figure out how to merge. Traffic would be slow, but it would stay moving efficiently. I think this video really does a good job at showing the problem it'd solve: https://www.youtube.com/watch?v=iHzzSao6ypE and at the chicken crossing the road part at 1:08, if you think of it as there being no road, just cars going in a straight line, the cars would slow as the chicken approaches to cross them, and start speeding up again as the chicken leaves, I think it could solve the problem without the cars needing to communicate with each other or eliminating human drivers entirely. The consistent driving behavior would keep the cars "in the middle" without needing to consider cars behind them.

https://insideevs.com/news/659974/tesla-ai-fsd-beta-interview-dr-know-it-all-john-gibbs/ Interview with a proponent of EVs, discussing some of the AI aspects of Tesla's self-driving cars.

Flowpilot is pretty interesting for using a phone as a car computer. https://github.com/flowdriveai/flowpilot

>>23908 Thanks Anon.

Interesting little tidbit that went into effect about a month and a half ago in Mass.: >"The open remote access to vehicle telematics effectively required by this law specifically entails “the ability to send commands.”4 Open access to vehicle manufacturers’ telematics offerings with the ability to remotely send commands allows for manipulation of systems on a vehicle, including safety-critical functions such as steering, acceleration, or braking, as well as equipment required by Federal Motor Vehicle Safety Standards (FMVSS) such as air bags and electronic stability control." Via the watchdogs over on /k/, thanks!

>>22963 I see, thanks DorothyAnon!

>>18215 I just watched a video on aigis and I am really drawn to her visible shoulder and hip servo motors. A bipedal bot would be very appealing in her revealing character design.

>>23073 >I just watched a video on aigis and I am really drawn to her visible shoulder and hip servo motors. A bipedal bot would be very appealing in her revealing character design. I agree Anon. The original designer had a great vision going for her. We'll need to take Anon's safety into account even moreso (almost unfortunately in this case haha), so we'll probably have to work out something a bit different for her joints, I'd say.

>>23073 I preferred her Older Sister units.

I've been thinking recently about how to organize and describe personas. While text generation AI is capable of working with unstructured text, AI in general seems to work better when the data is given some sensible structure for the task at hand. Even if a good structure isn't directly necessary for text generation, it's useful for understanding exactly what sorts of things can go wrong and what sorts of data you need to provide to get results you want. I ended up settling on 8 questions that seem to be good for getting a very comprehensive understanding of people: 1. What are they receptive to? 2. What kinds of thoughts do they have? 3. What kinds of goals do they set for themselves? 4. What do they believe? 5. What roles do they take on in life and in interactions? 6. What do they have strong emotions about? 7. How do they act on their emotions? 8. How do they believe things should work? I think questions like these can be useful for being very specific about what an AI gets right or wrong about a persona. It might even be possible to collect data on each of these 8 aspects. On thinking about what the most useful first steps would be for creating AI with a personality, any initial steps towards data collection seems like a great step forward. I don't know exactly how the data collection would work, but maybe there's a way to use natural language processing to extract candidate answers to these questions from fanfictions, show transcriptions, community discussions, and so on. It'd be really cool if that would let us create some sort of "persona dataset" for classifying and generating personas. From what I understand, it's not too difficult for an ML researcher to integrate basically any dataset into a text generation model. If anyone else has a different set of questions, it's be great to see that. (The download link in >>12299 seems to be broken.) Anything that helps us be more specific and more comprehensive about what exactly constitutes a persona seems worthwhile, especially since there seems to be so little academic work on the topic.

>>17248 Thanks, I had a similar idea, I guess. I was mainly thinking about personas in regards to limit the stored data on persons she knows. The robowaifu mind would have a concept of different personas and then forget details about persons she met over time, but keep them categorized as a certain type of person, or within a range of close types. This might of course also help from the start. Having a guess which kind of person someone is, and then adapting her behavior accordingly. >Anything that helps us be more specific and more comprehensive about what exactly constitutes a persona seems worthwhile Try not to overplan things. It just needs to be a framework which can be extended. It should of course also include race, gender, political tendencies, heritage and nationality, religion, etc. I'm sure we can find an article on Facebook and advertisers where they list what kinds of factors they care about, then some psychological classifications, sociological mileus, ... From there we can weed out the more important factors.

>>17257 >Try not to overplan things. It just needs to be a framework which can be extended. Part of this is just me trying to figure out my own thoughts on the topic. I think part of it is also that we have different use cases in mind. I'm thinking more of a one-on-one chatbot, where things like race, politics, heritage, nationality, and religion don't play a big role, at least not for me. Do these play a big role in one-on-one discussions for other people? >I'm sure we can find an article on Facebook and advertisers where they list what kinds of factors they care about Keep in mind that they'll deliberately avoid using or suggesting some important things for legal and reputation reasons. Some big ones not on your list include age, parental status, income, occupation, and education. The search term for this is "demographics". When it comes to creating lists like this, I find GPTs to be very useful. I gave https://20b.eleuther.ai/ this input: >Best demographics for targetting a message: >- Gender >- Politics >- Cultural background >- Religion >- Age >- Parental status >- Income

>Give me an exhaustive list of all psychological traits and personality traits, which are being used to describe and diagnose humans. ChatGPT: Describing an exhaustive list of all psychological traits and personality traits used to describe and diagnose humans is challenging, as there are numerous theories, models, and assessments in the field of psychology. However, I can provide you with a comprehensive list of commonly recognized traits: 1. Extraversion 2. Introversion 3. Neuroticism 4. Emotional Stability 5. Openness to Experience 6. Conscientiousness 7. Agreeableness 8. Honesty-Humility 9. Empathy 10. Resilience 11. Assertiveness 12. Self-Esteem

>>23495 >>Give me an exhaustive list of all psychological traits and personality traits, which are being used to describe and diagnose humans. Excellent prompt, NoidoDev. GG.

>>23238 Because polygons are triangles. When you delete vertices you're left with pointy triangles. :^)

>>23391 Neat. Thanks.

>>23393 New one, going to be Copyleft once finished.

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Here my current plan for AI hardware: - I ordered a used K80 with 2x12 GB recently, a used one of course, for 100$/95€ shipping included. It's an old GPU, only supported by older CUDA versions and might not run quantified models. Uses much energy, but it's two GPUs with 12GB each. I plan to pair this one after a while with a RTX3060 (12GB, 300€ used or 400€ new I think) in one home server. Context: https://technical.city/en/video/Tesla-K80m-vs-GeForce-RTX-3060 - That one, will then run my 12GB models. For fine tuning, or models which don't run on the K80, I would use the 3060. I don't know yet if I can somehow joint them together and use 3x12GB through the bus. It just seems to need some software support in these programs for running models at home. - I plan to use online services like Colab to learn about how to run these things, but have the K80 for more private data and learning how to do these things at home. - Then I'll get some SBCs, most likely Orange PI's, which can run small models of Whisper (speech regocnition). Also, another small home server with a Intel Arc380 (140-160€), which is fast enough to run the big and better model of Whisper at the speed of one fast human speaker. It does this quite energy efficient. These devices will not run anything else, for security reasons, and be connected to microphones which will be always on. The server will receive the audio through the SBCs from all rooms using the home network (likely on a VPN using Tinc). All of them will send the transcripts to some server in my network which can then decide how to respond. Most likely filtering first for which data is more sensitive than others. - Some small device, like a Raspi, will maybe handle responses based on AIML or using some small model. - Questions which don't contain private information might be send to OpenAI or another service. - The next step up will be getting a M40 (180€) and then a used RTX3090 (700-800€ right now I think), putting them in another home server at some point. Of course I might use this one for gaming till I get even the next GPU. These can handle the models which need 24 GB. The 3090 will do the fine tuning if I want to do that, since it has more power, while the M40 doesn't need as much energy. Context: https://technical.city/en/video/GeForce-RTX-3090-vs-Tesla-M40-24-GB - Then the next step might be getting a AMD XTX (1k-1.2k€) if it's supported well enough for AI by this time. I can use this one for gaming and then put the 3090 in a home server with the M40. If it's possible to combine cards using PCI express, then it might be interesting to think about getting another XTX later, and have 48GB vRAM. - But I hope that either Intel or AMD will come out with a prosumer or consumer card for AI at home, which is rather slow but has 48GB and is not too expensive. (If you buy K80 or M40 on Ebay make sure not to buy the 12GB versions by accident while only looking at the price. They aren't much cheaper. K80 should have 2x12GB and the M40 24GB.)

>>23346 I hope the K80 works for you. I was thinking of getting two but the support for them seems abysmal. They used to be $200 used before shipping. Colab isn't what it used to be either. The free version will boot you off in 30 minutes sometimes or a few hours into training with Pro unless you pay big for compute credits. You're much better off running your own JupyterLab notebook or renting an instance off vast.ai or runpod.io if you don't have access to a GPU.

>>23351 >support for them seems abysmal. I think you need old versions of the software, but I also remember some people taking care of that, to support old GPUs. I might need to compile some of it myself, though. I hope it works out, but the risk isn't very high. >They used to be $200 used before shipping. They're down to $60-70 before shipping now. Some recommend to go straight for the M40, which is much newer, but $120-130 before shipping. >JupyterLab notebook or renting an instance off vast.ai or runpod.io if you don't have access to a GPU. Right, I forgot about those while writing this.

>>23346 Good luck, NoidoDev!

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I went to google, in desperation, a last resort, and used their translate. He has a site at the school with his publications listed but...no links to the code. I tried searching for the book + code and all sorts of variations. I'm usually reasonably good at finding things but...a big blank on this code. It's also not on the internet archive. There's a possibility that his code, though not exactly conforming to the book, is in his papers as his book seems to be a summation of his papers. You can find his papers here, http://libgen.rs/scimag/?q=Eduardo+Bayro-Corrochano So whatever code you are looking for match the subject with the paper and maybe the code will be in the paper. Or at the least a mathematical representation of what the code is supposed to do.

More searching and I find a page full of software for Geometric Algebra, not his unfortunately but lots. Even in C++. https://ga-explorer.netlify.app/index.php/ga-software/

And look at the publications page for this. It's all about integrating GA with computing and how to go about it. Interesting blurbs, "...Geometric Algebra (GA) in diverse fields of science and engineering. Consequently, we need better software implementations...For large-scale complex applications having many integrating parts, such as Big Data and Geographical Information Systems, we should expect the need for integrating several GAs to solve a given problem. Even within the context of a single GA space, we often need several interdependent systems of coordinates to efficiently model and solve the problem at hand. Future GA software implementations must take such important issues into account in order to scale, extend, and integrate with existing software systems, in addition to developing new ones, based on the powerful language of GA. This work attempts to provide GA software developers with a self-contained description of an extended framework for performing linear operations on GA multivectors within systems of interdependent coordinate frames of arbitrary metric. The work explains the mathematics and algorithms behind this extended framework and discusses some of its implementation schemes and use cases..." another paper, "...Designing software systems for Geometric Computing applications can be a challenging task. Software engineers typically use software abstractions to hide and manage the high complexity of such systems. Without the presence of a unifying algebraic system to describe geometric models, the use of software abstractions alone can result in many design and maintenance problems. Geometric Algebra (GA) can be a universal abstract algebraic language for software engineering geometric computing applications. Few sources, however, provide enough information about GA-based software implementations targeting the software engineering community. In particular, successfully introducing GA to software engineers requires quite different approaches from introducing GA to mathematicians or physicists. This article provides a high-level introduction to the abstract concepts and algebraic representations behind the elegant GA mathematical structure. ..." https://ga-explorer.netlify.app/index.php/publications/ I'm getting the feeling that using this framework GA you can repeat it over and over. Saving computing resources and making all computing in one big scheme that can be repeated with far less resources. Now this is VERY MUCH like that Rebol programming language that I blathered so much on. One of it's BIG strengths is this unifying character of "series list" and the manipulation of them. It's why Rebol can make all these different functions in the software package and still be a megabyte. I see this sort of thing all over the place. I want to emphasize I'm not a math wiz, or even a fizzle, but I'm ok at recognizing patterns. I see a lot of computing doing this sort of thing. Like Plan 9 operating system and the QNX operating system. They use to great effect the idea of making everything in the code pass messages instead of a mish mash of pointers and other such drivel. A counter to show the difference. Linux is old school, mish mash, so it's a huge hair ball of mass and dreckage, While QNX and Plan 9 are light tidy things. L4 microkernel family does this also. In fact it was a dog at speed until they changed it to pass messages then it took off. I think they use a version of this in F-16's as the OS. Now I also know next to nothing about AI but I do know it's a huge mass of matrix manipulations. And it's very likely, like Maxwell's Quaternion calculations, that GA can whittle it down to size. It may be that the same sort of resource compaction can be done in the case of AI with GA also. Or maybe not. One more link https://hackaday.com/2020/10/06/getting-started-with-geometric-algebra-for-robotics-computer-vision-and-more/

>>23145 There's a library for that called opencv. You can do it from scratch if you want though.

>>23143 >>23144 Thanks Grommet! We'll keep looking from time to time. :^) >>23147 Thanks for the info Anon. OpenCV is pretty amazing IMO.

not sure what this link was, but without any context and using a url shortener im assuming its cp if this was something on topic, my apologies, but with all these cp bots trying to advertise here we have to be careful

>>22974 Its literately google drive

>>22974 I take it you rm'd a link for us? That's fine if it was suspicious looking, thanks! :^) So, if you were a legitimate poster from our board, please at least explain what a link is, if it's otherwise unclear to an uninitiate. Thanks. >>22975 >Its literately google drive Not having seen it, I can't confirm this one way or another. But I'm uncertain that 'it's G*ogle' is a solid validation Anon.

>>22975 If it was, my bad, since it was behind a link shortener I couldn't tell. Just a single line of text explaining what it was would have been enough for me to tell it was human though. >>22978 Yeah just a single link run through a link shortener, many of which we've outright filtered at this point simply because of how badly the cp posters abuse them. While we obviously won't ban link shorteners, if you're gonna use them making clear it's posted by a human is a good idea, since otherwise it looks nearly identical to the cp bots.

>>22979 Got it. Thanks Gator. :^)

>>22890 >pages are now execute only or no execute. For the uninitiate you could say that this helps keep corrupt (ie, 'hacked') code from executing. So Nagisa, off-topic; but what do you think would be involved in a practical sense of creating a robowaifu system based on OpenBSD? Remember that we have several hard-real-time constraints (though most isn't under this restriction). By this question I mean primarily her onboard systems, not just a home server setup.

>>22891 OpenBSD is the worst OS for real time among the ones I've used, its task scheduler has really bad fairness guarantees and big locks in the kernel can cause most of the kernel's functionality to block while one program uses it. The audio system defaults to 160ms latency and still gets audio drops, on Gentoo Linux I could get ~17-19ms with ALSA and no realtime tweaking. We all have much to gain from portability though. OpenBSD's strong memory protections can catch memory bugs that go unnoticed on every other OS. And while doing that, it's still fast enough that you can actually run your program and test it, you can't use e.g. Valgrind on a typical video game because then it will run at sub-1fps. OpenBSD's pthreads implementation catches destroying mutexes with waiters, mpv has that bug all over, Linux libcs don't do this. This goes for other platforms too, for instance, the diet libc for Linux warns when you use a libc function that makes binaries large, it's good for when you're optimizing binary sizes. I've fixed bugs in programs that I found because I ported the program to MSVC and Microsoft's compiler correctly warned where no other compiler warned.

I'm going to make the flashing leds either tomorrow or the day after tomorrow again.

>>22892 Thanks Anon! Yes that makes sense about realtime. I'm sure we'll figure things out in the end, but r/n it's a big giant puzzle. >We all have much to gain from portability though. Excellent point. It's certainly something to strive for in all our code, to the extent feasible. Certainly during R&D prototyping, I'd say it's a high priority to attempt testing on a wide array of systems. >I ported the program to MSVC and Microsoft's compiler correctly warned where no other compiler warned. They do have a really good debugger system. Ofc some would claim they needed to heh. :^)

>>22895 Please let us know how it goes Anon! :^)

>>21953 There's an amazing variety of cute Emmys!

>>21954 there really is

>>22450 Second image appears to be from a different artist?