The original thread can be found here: https://trashchan.xyz/robowaifu/thread/595.html --- Welcome to the Lemon Cookie thread, The goal of Lemon Cookie is to create a framework where a synthetic "mind and soul" can emerge through a "LLM as cognitive architecture" approach. This thread exists to collect feedback, ask for help & to document my progress. First I am going to try to give a high level overview of how this cognitive architecture is envisioned and the ideas behind it. I have spent time looking at cognitive architecture work, in the field there is now a consensus on how the mind works at a high level. An important mechanism is a "whiteboard", basically a global temporary memory that all the other systems read in and out of. Then there is different long-term memory systems that react to and add content to the whiteboard. Along with memory pattern matcher(s)/rules work on the content of the whiteboard. A key thing to consider is the difference in philosophy that cognitive architecture projects have, the intelligence is considered to emerge from the entire system. Compare this to LLM agent work where it's considered the intelligence is the LLM. My feelings on the general LLM space are conflicted, I am both amazed and really disappointed. LLMs possess an incredible level of flexibility, world knowledge and coherence. But everything outside of the model is stagnant. It's endless API wrappers & redundant frameworks all slight permutations on RAG & basic tool calling. I will believe that LLMs are misused as chatbots, simply put their pattern matching and associative power is constrained by chat format and shallow tooling. In the Lemon Cookie Cognitive Architecture so far here are the important aspects: 1. Memory is difficult. I do not think there is a singular data structure or method that is able to handle it all, several distinct types of memory will be needed. So far I plan for a PathRAG like system and a "Triadic Memory" inspired system for external associations (this is missing in most LLM solutions). 2. LLM as Kernel, The LLM's context window is the Whiteboard and has a REPL like mechanism. It holds structured data and logic in scripting-like format so it's both LLM & Human readable while staying easy to parse & allows for expressive structured data. The LLM's role will be to decompose data and make patterns and associations explicit as executable statements. 3. The language has to be LLM/CogArch-centric. There is a thousand ""agents"" that give LLMs a python interpreter as a tool. The two need to be more tightly coupled. Scripted behavior via pattern matching, The whiteboard is a bag of objects, this allows for programmable pattern matching (think functional programming like Haskell). It's also important to allow the LLM to observe code execution and to be able to modify state and execution flow. Data in languages have scoping rules, so should LLM context. Etc... I will go into more depth about the language in another post. 4. Another important system is the "GSR" Generative Sparse Representation and it will be a first class language & runtime type, This also needs its own post. But in general I am inspired by two things, "Generative FrameNet" paper where an LLM & an embedding model is used to automatically construct new FrameNet frames. The second source is "Numenta's SDRs"/"Sparse distributed memory" this representation has a lot of useful properties for memory (Please watch the videos under the "What the hell is an SDR?" segment in my links list for an easy introduction.) I think SDR unions & SDR noise tolerance will be especially useful. 5. A custom model, For all of the above to work well, a model will need to be fine tuned with special behaviors. I do want input on this. Baking facts & behaviors into LLM weights is costly, creating bloated models that are hard to run or train (why memorize all the capitals?), while letting authors gatekeep truth and impose "safety" detached from context. Blocking role-play "violence" or intimacy isn't protection: it's authors hijacking your AI companion to preach at you. Externalizing behaviors via whiteboard pattern matching shifts control: stabbing you in-game can be funny, but a robot wielding a knife isn't. Maybe you want intimacy privately, but don't want your AI flirting back at your friends. When put together I think this will be able to host a kind of synthetic "soul", In a living being what we call a personality is the accumulated associations, learned behaviors, beliefs and quirks molded by a unique set of experiences. I hope this will be true for this system too.

This first post is to show the 5 big milestones in the development of SPUD, the Specially Programmed UwU Droid. You can see the old thread here: >>26306 The end goal of SPUD is to provide a fairly high-functioning robot platform at a relatively low cost (free code but a few bucks for 3d print files) that can be used for a variety of purposes such as promotional, educational or companionship. All AI used is hosted on local systems: no bowing to corporations any more than necessary, thank you. Various aspects of the code are/will be modular, meaning that adding a new voice command/expression/animation will be easy as making the file, naming it and placing it in the correct folder (no need to mess around with the base code unless you REALLY want to). While I'm researching more about bipedal walking I'll be making a companion for SPUD to ride on, so it might be a while before I return to the thread.

Thoughts on waifus which remain 2D but have their own dedicated hardware. This is more on the artistry side though ai is still involved. An example of an actual waifu product being the Gatebox.
gatebox.ai/sp/

My favorite example is Ritsu, she's a cute ai from assassination classroom who's body is a giant screen on wheels.

Textual/Multimodal LLM & Chatbot General v2 Models: huggingface.co/ >How to bulk-download AI models from huggingface.co? ( >>25962, >>25986 ) Speech >>199 Vision >>97 Previous thread >>250 Looking for something "politically-incorrect" in a smol, offline model? Well Anon has just the thing for you >>38721 Lemon Cookie Project >>37980 Non-LLM chatbots >>35589

This thread is to discuss the ethics and methods of merging and AI and biology. All biocomputing, bioethics, AI medicine, medical, nootropic, and transhumanism posts belong here. The discuss of spirituality, biology, and AI is also welcome here! Previous thread >>41257 >=== -edit subj -add/rm 'lock thread' msg

Why is it that no philosophers are interested in building an AGI? we need to change this, or at least collect relevant philosophers. discussion about philosophy of making AGI (includes metaphysics, transcendental psychology, general philosophy of mind topics, etc!) also highly encouraged! Ill start ^^! so the philosophers i know that take this stuff seriously: Peter Wolfendale - the first Neo-Rationalist on the list. his main contribution here is computational Kantianism. just by the name you can tell that he believes Kant's transcendental psychology has some important applications to designing an artificial mind. an interesting view regarding this is that he thinks Kant actually employed a logic that was far ahead of his time (and you basically need a sophisticated type theory with sheaves to properly formalize). Other than that he also thinks Kant has interesting solutions to the frame problem, origin of concepts, and personhood. CONTACTS: He has a blog at https://deontologistics.co/, and also has posted some lectures on youtube like this one: https://www.youtube.com/watch?v=EWDZyOWN4VA&ab_channel=deontologistics Reza Negarestani - this is another Neo-Rationalist. he has written a huge work (which I haven't read yet ;_;) called "Intelligence and Spirit". It's massive and talks about various grades of general intelligence. this includes sentient agents, sapient agents, and Geist. this guy draws from Kant as well, but he also builds on Hegel's ideas too. his central thesis is that Hegel's Geist is basically a distributed intelligence. he also has an interesting metaphilosophy where he claims that the goal of philosophy is the construct an AGI. like other Neo-Rationalists, he heavily relies on the works of Sellars and Robert Brandom Recc: Ray Brassier (recent focuses) - I dont think he is working on artificial general intelligence, but his work on Sellars, and in particular rule following is very insightful! Hubert Dreyfus - Doesn't quite count, but he did try to bring Heidegger to AGI. He highlighted the importance of embodiment to the frame problem and common sense knowledge. I personally think Bergson might have explicated what he wanted to achieve but better, though that guy is like way before AI was even a serious topic, lol. Murray Shanahan - This guy has done some extra work on the frame problem following Dreyfus. His solution is to use global workspace theory and parralel processing of different modules. Interesting stuff! Barry Smith - Probably the most critical philosopher on this list. He talks about the requisite system dynamics for try strong AI, and concludes that our current methods simply don't cut it. One of the key stressing points he points out here with a colleague is that our current AI is Markovian when fleshed out chat dialogue would be a non-Markovian task (you can find the arxiv link of his criticism here: https://arxiv.org/abs/1906.05833). He also has knowledge on analytic ontology (and amongst other thing has some lectures about emotion ontology). I think his main genius however is in coming up with a definition of intelligence that puts a lot of the problems with our current approaches into context (which can be found here: https://www.youtube.com/watch?v=0giPMMoKR9s&ab_channel=BarrySmith) CONTACTS: He has a yt channel here https://www.youtube.com/watch?v=0giPMMoKR9s&ab_channel=BarrySmith

Attention artists, graphic designers, marketers, social media personalities, writers, and poasters! Your skills will be needed! The task of building and designing a robowaifu is a herculean quest. As great as this community is, /robowaifu/ always needs more talent. We also need to spread the very idea of robowaifus to the masses. Luckily for us there are several communities on the internet that we could find new recruits or allies to help us build our waifus: >MGTOW - These guys know all about the legal pitfalls of marriage and the dangers of feminism. There is already a lot of talk about sex robots in MGTOW communities. It shouldn't be a hard sell to get them to come here. <However, some of these guys would rather spend all their time bitching on the internet about "MUH WOMENZ" than actually getting a hobby other than lifting heavy objects and putting them down again. MGTOW is literally Feminist Separatism for males. >Incels - Guys that can't get laid. The opportunity for love and companionship should be enough to bring some of these guys over. <However, we need to be careful when recruiting from some of their communities, since most of them are defeatists that balk at an actual solution, and they may be compromised by spies and derailers, both governmental and NGO/individual. We don't want to attract negative attention. >Monster girls/nekomimi/HMOAF/mlpol - The only way these guys are going to be able to have their harpy/elf/goblin/anthro/pony/whatever gf is with a robowaifu. Many have an interest in seeing us succeed. <However, there exists a very wide variety of communities under this umbrella, and there is a notable overlap between communities who would want robowaifus and communities that are morally compromised, such as furries, so care should be taken when looking into them. Romanticists and waifu enthusiasts have a tendency to congregate since they all want/create the same type of content, so looking for those subgroups would be the most efficient path. >Otakus - Many men in these communities want to see their waifu/favorite character come to life, which will realistically only happen with robowaifus. <However, many of those communities are drowning in the LGBT alphabet soup and Covid Tourists. Special care should be taken when looking into them. >Male STEM students - Generally these guys aren't going to get laid until after they have established themselves. A robowaifu could really help them.

Cameras, Lenses, Actuators, Control Systems Unless you want to deck out you're waifubot in dark glasses and a white cane, learning about vision systems is a good idea. Please post resources here. opencv.org/ https://archive.is/7dFuu github.com/opencv/opencv https://archive.is/PEFzq www.robotshop.com/en/cameras-vision-sensors.html https://archive.is/7ESmt >=== -patch subj

A thread for links, examples, & discussion for software development & instruction; primarily intended to focus on Python & C++ & C (incl. Arduino). Additionally, other systems-oriented (eg, Forth, Ada); and other scripting-oriented (eg, Lua), &tc., programming language discussions are welcome. * Try to keep it practical! (ie, realworld-oriented) (eg, not the Scratch language [which might conceivably be a scripting paradigm, but not a systems one], or similar) Obviously the endgoal here ITT being discussing/providing the crafting of quality code & systems for our robowaifus. --- > threads-related: ( >>19777 ) ( >>12 ) ( >>159 ) ( >>14409 ) ( >>18749 ) ( >>4969 ) ( >>86 ) ( >>128 ) --- * Corpo-tr*on languages (+ other corpo & 'coffee du juor' languages) will be yeet'd ITT! (They have no place in serious opensource robowaifu systems discussions.)

Power & Energy Robots require some form of energy to power them. We need to understand how to store energy in a way that will provide her with all the power she’ll need. To clarify, “energy” is a system's capacity to do work over time. This is measured by Wh, or Watt hour. Closely related is “power” the rate at which work is done. This is measured as W, or watts. As an example, we could have a robot with a 80Wh Lithium Ion battery and two DC gear motors that consume 10W when working. You do not need to rely solely on batteries and motors. We can use other methods of storing energy. This can include compressed fluids, thermal energy, and light, among other things. For instance, glow in the dark paint is useful for storing energy to use at night for safety. Solar panels or a generator can provide power through the energy of long distance nuclear fusion or extracting energy from some reaction. Being part of a robot means we need to consider safety, mass, and volume. How will her energy and power system fit inside her? How will she deal with the mass? What happens when she runs out of energy? How can you minimize her energy use? What alternatives can be used to lower her cost of production and ownership? These rhetorical questions are all important when contemplating how to build a robot.