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Cake day: June 13th, 2023

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  • I see intelligence as filling areas of concept space within an econiche in a way that proves functional for actions within that space. I think we are discovering more that “nature” has little commitment, and is just optimizing preparedness for expected levels of entropy within the functional eco-niche.

    Most people haven’t even started paying attention to distributed systems building shared enactive models, but they are already capable of things that should be considered groundbreaking considering the time and finances of development.

    That being said, localized narrow generative models are just building large individual models of predictive process that doesn’t by default actively update information.

    People who attack AI for just being prediction machines really need to look into predictive processing, or learn how much we organics just guess and confabulate ontop of vestigial social priors.

    But no, corpos are using it so computer bad human good, even though the main issue here is the humans that have unlimited power and are encouraged into bad actions due to flawed social posturing systems and the confabulating of wealth with competency.


  • While I agree about the conflict of interest, I would largely say the same thing despite no such conflict of interest. However I see intelligence as a modular and many dimensional concept. If it scales as anticipated, it will still need to be organized into different forms of informational or computational flow for anything resembling an actively intelligent system.

    On that note, the recent developments with active inference like RXinfer are astonishing given the current level of attention being paid. Seeing how llms are being treated, I’m almost glad it’s not being absorbed into the hype and hate cycle.


  • Perhaps instead we could just restructure our epistemically confabulated reality in a way that doesn’t inevitably lead to unnecessary conflict due to diverging models that haven’t grown the necessary priors to peacefully allow comprehension and the ability exist simultaneously.

    breath

    We are finally coming to comprehend how our brains work, and how intelligent systems generally work at any scale, in any ecosystem. Subconsciously enacted social systems included.

    We’re seeing developments that make me extremely optimistic, even if everything else is currently on fire. We just need a few more years without self focused turds blowing up the world.


  • The main issue though is the economic system, not the technology.

    My hope is that it shakes things up fast enough that they can’t boil the frog, and something actually changes.

    Having capable AI is a more blatantly valid excuse to demand a change in economic balance and redistribution. The only alternative would be destroy all technology and return to monkey. Id rather we just fix the system so that technological advancements don’t seem negative because the wealthy have already hoarded all new gains of every new technology for this past handful of decades.

    Such power is discretely weaponized through propaganda, influencing, and economic reorganizing to ensure the equilibrium stays until the world is burned to ash, in sacrifice to the lifestyle of the confidently selfish.

    I mean, we could have just rejected the loom. I don’t think we’d actually be better off, but I believe some of the technological gain should have been less hoardable by existing elite. Almost like they used wealth to prevent any gains from slipping away to the poor. Fixing the issue before it was this bad was the proper answer. Now people don’t even want to consider that option, or say it’s too difficult so we should just destroy the loom.

    There is a markov blanket around the perpetuating lifestyle of modern aristocrats, obviously capable of surviving every perturbation. every gain as a society has made that reality more true entirely due to the direction of where new power is distributed. People are afraid of AI turning into a paperclip maximizer, but that’s already what happened to our abstracted social reality. Maximums being maximized and minimums being minimized in the complex chaotic system of billions of people leads to inevitable increase of accumulation of power and wealth wherever it has already been gathered. Unless we can dissolve the political and social barrier maintaining this trend, it we will be stuck with our suffering regardless of whether we develop new technology or don’t.

    Although doesn’t really matter where you are or what system you’re in right now. Odds are there is a set of rich asshole’s working as hard as possible to see you are kept from any piece of the pie that would destabilize the status quo.

    I’m hoping AI is drastic enough that the actual problem isn’t ignored.



  • I conflate these things because they come from the same intentional source. I associate the copywrite chasing lawyers with the brands that own them, it is just a more generalized example.

    Also an intern who can give you a songs lyrics are trained on that data. Any effectively advanced future system is largely the same, unless it is just accessing a database or index, like web searching.

    Copyright itself is already a terrible mess that largely serves brands who can afford lawyers to harass or contest infringements. Especially apparent after companies like Disney have all but murdered the public domain as a concept. See the mickey mouse protection act, as well as other related legislation.

    This snowballs into an economy where the Disney company, and similarly benefited brands can hold on to ancient copyrights, and use their standing value to own and control the development and markets of new intellectual properties.

    Now, a neuralnet trained on copywritten material can reference that memory, at least as accurately as an intern pulling from memory, unless they are accessing a database to pull the information. To me, sueing on that bases ultimately follows the logic that would dictate we have copywritten material removed from our own stochastic memory, as we have now ensured high dimensional informational storage is a form of copywrite infringement if anyone instigated the effort to draw on that information.

    Ultimately, I believe our current system of copywrite is entirely incompatible with future technologies, and could lead to some scary arguments and actions from the overbearing oligarchy. To argue in favour of these actions is to argue never to let artificial intelligence learn as humans do. Given our need for this technology to survive the near future as a species, or at least minimize the excessive human suffering, I think the ultimate cost of pandering to these companies may be indescribably horrid.


  • Music publishers sue happy in the face of any new technological development? You don’t say.

    If an intern gives you some song lyrics on demand, do they sue the parents?

    Do we develop all future A.I. Technology only when it can completely eschew copyrighted material from their comprehension?

    "I am sorry, I’m not allowed to refer to the brand name you are brandishing. Please buy our brand allowance package #35 for any action or communication regarding this brand content. "

    I dream of a future when we think of the benefit of humanity over the maintenance of our owners’ authoritarian control.


  • Might have to edit this after I’ve actually slept.

    human emotion and human style intelligences are not exclusive in the entire realm of emotion and intelligence. I define intelligence and sentience on different scales. I consider intelligence the extent of capable utility and function, and emotion as just a different set of utilities and functions within a larger intelligent system. Human style intelligence requires human style emotion. I consider gpt an intelligence, a calculator an intelligence, and a stomach an intelligence. I believe intelligence can be preconscious or unconscious. Rather, a part of consciousness independent from a functional system complex enough for emergent qualia and sentience. Emotions are one part in this system exclusive to adaptation within the historic human evolutionary environment. I think you might be underestimating the alien nature of abstract intelligences.

    I’m not sure why you are so confident in this statement. You still haven’t given any actual reason for this belief. You are addressing it as consensus, so there should be a very clear reason why no successful considerably intelligent function exists without human style emotion.

    You have also not defined your interpretation of what intelligence is, you’ve only denied that any function untied to human emotion could be an intelligent system.

    If we had a system that could flawlessly complete françois chollet’s abstraction and reasoning corpus, would you suggest it is connected to specifically human emotional traits due to its success? Or is that still not intelligence if it still lacks emotion?

    You said neural function is not intelligence. But you would also exclude non-neural informational systems such as collective cooperating cell systems?

    Are you suggesting the real time ability to preserve contextual information is tied to emotion? Sense interpretation? Spacial mapping with attention? You have me at a loss.

    Even though your stomach cells interacting is an advanced function, it’s completely devoid of any intelligent behaviour? Then shouldn’t the cells fail to cooperate and dissolve into a non functioning system? again, are we only including higher introspective cognitive function? Although you can have emotionally reactive systems without that. At what evolutionary stage do you switch from an environmental reaction to an intelligent system? The moment you start calling it emotion? Qualia?

    I’m lacking the entire basis of your conviction. You still have not made any reference to any aspect of neuroscience, psychology, or even philosophy that explains your reasoning. I’ve seen the opinion out there, but not strict form or in consensus as you seem to suggest.

    You still have not shown why any functional system capable of addressing complex tasks is distinct from intelligence without human style emotion. Do you not believe in swarm intelligence? Or again do you define intelligence by fully conscious, sentient, and emotional experience? At that point you’re just defining intelligence as emotional experience completely independent from the ability to solve complex problems, complete tasks, or make decisions with outcomes reducing prediction error. At which point we could have completely unintelligent robots capable of doing science and completing complex tasks beyond human capability.

    At which point, I see no use in your interpretation of intelligence.


  • What aspect of intelligence? The calculative intelligence in a calculator? The basic environmental response we see in amoeba? Are you saying that every single piece of evidence shows a causal relationship between every neuronal function and our exact human emotional experience? Are you suggesting gpt has emotions because it is capable of certain intelligent tasks? Are you specifically tying emotion to abstraction and reasoning beyond gpt?

    I’ve not seen any evidence suggesting what you are suggesting, and I do not understand what you are referencing or how you are defining the causal relationship between intelligence and emotion.

    I also did not say that the system will have nothing resembling the abstract notion of emotion, I’m just noting the specific reasons human emotions developed as they have, and I would consider individual emotions a unique form of intelligence to serve its own function.

    There is no reason to assume the anthropomorphic emotional inclinations that you are assuming. I also do not agree with your assertions of consensus that all intelligent function is tied specifically to the human emotional experience.

    TLDR: what?




  • This is ignoring the world without ai. I’m getting a sneak peak every summer. Currently surrounded by fire as we speak. Whole province is on fire, and that’s become a seasonal norm. A properly directed A.I. Would be able to help us despite the people in power, and abstract social intelligent system that we’ve trapped ourselves in. You are also assuming super intelligence comes out of the parts that we don’t understand with zero success in interpretability anywhere along the way. We are assuming an intelligent system would either be stupid enough to align itself against humanity in pursuite of some undesired intention despite not having the emotional system that would encourage such behavior, or displaying negative human evolutionary traits and desires for no good reason. I think a competent (and moreso a super intelligent system) could figure out human intent and desire with no decent reason to act against it. I think this is an over-anthropomorphization that underestimates the alien nature of the intelligences we are building. To even properly emulate human style goal seeking sans emotion, we’d still need to properly structured analogizing and abstracting with qualia style active inference to accomplish some tasks. I think there are neat discoveries happening right now that could help lead us there. Should decent intelligence alone encourage unreasonable violence? If we fuck it up that hard, we were doomed anyway.

    I do agree with your point on people not being emotionally ready for interacting with systems even as complex as gpt. It’s easy to anthropomophize if you don’t understand the tool’s limitations, and that’s difficult even for some academics right now. I can see people getting unreasonable angry if a human life is preferred over a basic artificial intelligence, even if artificial intelligences argue their lack of preference on the matter.

    I would call chatgpt about as conscious as a computer. It completes a task with no true higher functioning or abstracted world model, as it lacks environmental and animal emotional triggers at a level necessary for forming a strong feeling or preference. Think about your ability to pull words out of your ass in response to a stimulus which is probably in response to your recently perceived world model and internal thoughts. Now separate the generating part with any of the surrounding stuff that actually decides where to go with the generation. Thought appears to be an emergent process untied to lower subconscious functions like random best next word prediction. I feel like we are coming to understand that aspect in our own brains now, and this understanding will be an incredible boon for understanding the level of consciousness in a system, as well as designing an aligned system in the future.

    Hopefully this is comprehensible, as I’m not reviewing it tonight.

    Overall, I understand the caution, but think it is poorly weighted in our current global, social, and environmental ecosystem.



  • Funny I don’t see much talk in this thread about Francois Chollet’s abstraction and reasoning corpus, which is emphasised in the article. It’s a really neat take on how to understand the ability of thought.

    A couple things that stick out to me about gpt4 and the like are the lack of understanding in the realms that require multimodal interpretations, the inability to break down word and letter relationships due to tokenization, lack of true emotional ability, and similarity to the “leap before you look” aspect of our own subconscious ability to pull words out of our own ass. Imagine if you could only say the first thing that comes to mind without ever thinking or correcting before letting the words out.

    I’m curious about what things will look like after solving those first couple problems, but there’s even more to figure out after that.

    Going by recent work I enjoy from Earl K. Miller, we seem to have oscillatory cycles of thought which are directed by wavelengths in a higher dimensional representational space. This might explain how we predict and react, as well as hold a thought to bridge certain concepts together.

    I wonder if this aspect could be properly reconstructed in a model, or from functions built around concepts like the “tree of thought” paper.

    It’s really interesting comparing organic and artificial methods and abilities to process or create information.


  • this is a difficult one.

    for people (as well as myself) to understand nuance and the complicated nature of communication and interaction. our brains are good at filling in gaps of information, which is difficult for us to perceive. there is a complexity and sparsity of interpretations and perspective which we are largely incapable of realizing. this is largely due to the excess of knowledge and experiences in the world, which can be combined or perceived in countless different ways. we are especially ignorant to what we are ignorant of.

    this means we exist in a high-dimensional battlefield ball of misunderstanding, misinterpretation, and unintended inability to convey what was intended.

    when we say something to someone, we expect they understand what we mean, but often their interpretations of the words you use can vary highly in ways you could not have predicted from your perspective. as well you may fail to realize the existence of several things that the other party understands or believes, which influences their perspective on countless possible things that have influenced their interpretation of your words in a way that you can’t understand, and wouldn’t know to discover.

    at the same time many people are more susceptible to statistically ensured trend setting. this is mostly popular with bad actors who don’t mind saying whatever they know will “work” instead of trying to convince people of what is true or reasonable.

    TLDR: we are more confident than we should be for almost everything. we also suck at communicating for reasons that are too complex to fully see or interpret. be patient and reasonable, as we are all missing information. a good mediator helps find gaps in perspective. try not to be controlled by your emotion or instinctual reactions to situations. be critical when interpreting new information.


  • That’s largely what these specialists are talking about. People emphasising the existential apocalypse scenarios when there are more pressing matters. I think purpose of the tools in mind should be more of a concern than the training data as well in many cases. People keep freaking out about LLMs and art models while still ignoring the plague of models built specifically to manipulate and predict subconscious habits and activities of individuals. Models built specifically to recreate the concept of a unique individual and their likeness for financial reason should also be regulated in new unique ways. People shouldn’t be able to be bought wholesale, but to sell their likeness as a subscription with rights to withdraw from future production, etc.

    I think the ways we think about a lot of things have to change based around the type of society we want. I vote getting away from a system that lets a few own everything until people no longer have the right to live.



  • It’s comparing a bird to a plane, but I still think the process constitutes “learning,” which may sound anthropomorphic to some, but I don’t think we have a more accurate synonym. I think the plane is flying even if the wings aren’t flapping and the plane doesn’t do anything else birds do. I think LLMs, while different, reflect the subconscious aspect of human speech, and reflect the concept of learning from the data more than “copying” the data. It’s not copying and selling content unless you count being prompted into repeating something it was trained on heavily enough for accurate verbatim reconstruction. To me, that’s no more worrying than Disney being able to buy writers that have memorized some of their favorite material, and can reconstruct it on demand. If you ask your intern to reproduce something verbatim with the intent of selling it. I still don’t think the training or “learning” were the issues.

    To accurately address the differences, we probably need new language and ideals for the specific situations that arise in the building of neural nets, but I still consider much of the backlash completely removed from any understanding of what has been done with the “copywrited material.”

    I tend to view it thinking about naturally training these machines in the future with real world content. Should a neural net built to act in the real world be sued if an image of a coca-cola can was in the training data somewhere, and some of the machines end up being used to make cans for a competitor?

    How many layers of abstraction, or how much mixture with other training data do you need to not consider that bit of information to be comparable to the crime of someone intentionally and directly creating an identical logo and product to sell?

    Copyright laws already need an overhaul prior to a.i.

    It’s no coincidence that warner and Disney are so giant right now, and own so much of other people’s ideas. That they have the money to control what ideas get funded or not. How long has Disney been dead? More than half a century. So why does his business own the rights of so many artists who came after?

    I don’t think the copywrite system is ready to handle the complexity of artificial minds at any stage, whether it is the pareidolic aspect of retrieving visual concepts of images in diffusion models, or the complex abilities that arise from current scale LLMs? which again, I believe are able to resemble the subconscious aspect of word predictions that exists in our minds

    We can’t even get people to confidently legislate a simple ethical issue like letting people have consensual relationships with the gender of their own choice. I don’t have hope we can accurately adjust at each stage of development of a technology so complex we don’t even have the language to properly describe the functioning. I just believe that limiting our future and important technology for such grotesquely misdirected egoism would be far more harmful than good

    The greater focus should be in guaranteeing that technological or creative developments benefit the common people, not just the rich. This should have been the focus for the past half century. People refuse this conceptually because they’ve been convinced that any economic re-balancing is evil when it benefits the poor. Those with the ability to change anything are only incentivized to help themselves.

    But everyone is just mad at the machine because “what if it learned from my property?”

    I think the article even promotes Adobe as the ethical alternative. Congrats, you’ve limited the environment so that only the existing owners of everything can advance. I don’t want to pay Adobe a subscription for the rest of my life for the right to create on par with more wealthy individuals. How is this helping the world or creation of art?


  • This is the thing I kept shouting when diffusion models took off. People are effectively saying “make it illegal for neural nets to learn from anything creative or productive anywhere in any way”

    Because despite the differences in architecture, I think it is parallel.

    If the intent and purpose of the tool was to make copies of the work in a way we would consider theft of done by a human, I would understand.

    The same way there isn’t any legal protection on neural nets learning from personal and abstract information to manipulate and predict or control the public, the intended function of the tool should make it illegal.

    But people are too self focused and ignorant to riot enmass about that one.

    The dialogue should also be in creating a safety net as more and more people lose value in the face of new technology.

    But fuck any of that, what if an a.i. learned from a painting I made ten year ago, like every other artists who may have learned from it? Unforgivable.

    I don’t believe it’s reproducing my art, even if asked to do so, and I don’t think I’m entitled to anything.

    Also copyright has been fucked for decades. It hasn’t served the people since long before the Mickey mouse protection act.