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Cake day: December 14th, 2023

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  • However, history is poised to repeat itself with a similar outcome of chaos and disillusionment. The misguided belief that language models can replace the human workforce will yield hilarious yet unfortunate results.

    Even if AI can’t be much better than what has already been demonstrated, which I don’t think is the case but let’s consider it, there are already quite a few jobs which can be at least partially automated and that can already change the world by so much, even if only by having permanent unemployment at above 10-20% for every country, or by the bourgeoisie accepting to reduce worked hours to only a few so the system doesn’t collapse.


  • I disagree a little with the 5 years part as I can see a small chance of “a collapse” happening within that time, but as for the 30 years part it seems possible too.

    As they have to steal ever more from their own populations and can steal less from the Global South they will become weaker and fractured, and if, for example, this happens in some parts before others it can lead to fascism in some countries in Europe which might see their neighbors in better shape as enemies, potentially leading to western infighting and an acceleration of their own collapse.

    Hopefully such a scenario the conflicts stay internal instead of going global and they only weaken themselves while the rest of the world prosper. And in such a scenario we could even see Global Sout countries with enough power to massively influence western countries perhaps even leading to imperialism against them as the Global South is unlikely to go communist so fast.

    Other scenarios might be more plausible though…



  • The Journal says the cause for delay involves a temperature-regulating part called a heat exchanger. Boeing had been getting them from a supplier in Russia, but when that country launched a full-scale invasion of Ukraine and trade restrictions were put in place against Russian goods, Boeing started getting them from British and American suppliers. But they haven’t been able to make as many. The heat exchanger is one of “a few key parts” that Boeing has told staff is behind a 787 slowdown in a memo last week. Combined, the 787 and the also-delayed 737 Max make up 98% of the planemaker’s current order backlog.

    Hopefully it gets worse.


  • New robots are also using LLMs both for understanding their enviroment with cameras, rather than complicated sensors that might not understand the world as we do, and for controlling movement by basically taking in the data from the robot and what other LLMs understand from the enviroment and predicting what inputs are needed to move correctly for movement or doing any tasks.

    As the LLMs get better they can also come up with better strategies too, which is already being used to some extent to have them create, test and fix codes based on output and error messages and this should soon allow fully autonomous robots as well that can think by themselves and interact with the world leading to many advancements, like full automation of work and scientific discoveries.



  • This could be simply because having more researchers to do the videos will make the pro US bias of the group stronger, giving less chances to disagreeing opinions to show through. Although it could also be about youtube showing info, true or not, about talking about the US generating more views and things like that or the sponsors having some demands regarding these things, like not sponsoring videos in favor of Palestine, which may have been fed to them by the government and such, or even just the capitalists only putting money where their points of view receive the spotlight.




  • That all looks quite nice, just wonder how much change this will bring but it might not be much for now. They haven’t even set a number for how many employee representatives would be on the border of directors. But nevertheless, having the workers in positions of power should begin to change things and give other employees a taste of how things could be.

    And an advantage of the law still being somewhat loose is that it should be easier to improve it later this way, by looking at what workers do, rather than setting something with problems that is then hard to go back on. Though they do need to improve on it.





  • LLMs would probably be best used in systems, like multiple LLMs and normal programs each with their strenghs covering the other’s weaknesses. And perhaps having programs, or even other LLMs that shut it off if anything goes wrong.

    Something weird happened to a robot?

    The brain or part of it (as there can be multiple LLMs toghether each trained to do one or a few things only) or a more powerful LLM overseeing many robots identifies that and stop it, waiting for a better LLM offsite or a human to say something.

    I mean, if the thing happening is so weird that there is no data about it available then perhaps not even a human would be able to deal well with it, meaning that an LLM doesn’t need to be perfect to be very useful.

    Even if the robots had problems and would bug out causing a lot of damage we could still take a lot of people away from work and let the robots to do it if the robots can work and make enough to replenish their own losses by themselves. And with time any problem should be fixable anyway, so we might as well try.





  • Actually the biggest problem with (humanoid) robots is and always has been power. Batteries only last so long and take up space and add weight.

    Kinda. If the robots are good enough that they can do all sorts of tasks with a humanoid robot it wouldn’t be hard to make them switch their own batteries, which isn’t very different of humans and their need to eat and such, or the can just plug themselves to be powered up when needed.

    Indeed that might not be very convenient or the most efficient but it could be done by robots alone without human input. As the tech needed for these robots means that industrial robots, many of which can be plugged in all the time, could also produce much more and cheaper, leading to the possibility of simply having many batteries cheaply. Not the best solution but it is a solution.

    It’s not the CPU.

    It is the CPU to some extent, but recently software has been biggest part of it and one that is being improved a lot recently.

    We’ve always been able to make robots that can perform certain tasks and with enough effort you can make robots that can perform many tasks.

    The robots in industry so far were mostly just a complex machine doing a simple task. They couldn’t try to improve themselves or do anything beyond their programming. For example, a machine taking a part in an assembly line and putting it somewhere else can only really take something if it is where it expects it to be (to the mm) when it expects it to be there. With newer but no so new tech they might be able to recognize a QR like symbol on it and and reorient themselves but they can’t do anything other than what they have been programmed to do.

    But the newer robots with newer AIs will soon be able to do anything a human can. For example, if you ask one to clean the house and the neighboorhood they don’t just goes around the floor vaccuing while perhaps missing some parts, they could see that becoming a doctor and buying more robots to clean everything is a solution and they will think about it. That’s the level of difference in task making here.


  • The biggest problem with robots for a long time has been the brain, but now with LLMs, and other things, being good enough to fully control robots, even if using multiple specialized AIs, the tendency is that more and more will be invested in this direction.

    Yes the first generations of robots might be slow and have problems, but that will be used to train the newer AIs for both embodied tasks and also for fully in-computer based tasks, meaning that by the time they can finally be produced cheaply and in mass they will be ready for many jobs.

    This may also soon lead to less humanoid designs, like robots with multiple arms and no legs, leading to both generalist and specialized robots that can work very fast to take all manual labor jobs with ease in decades or less. Hopefully the people in the capitalist countries can manage to organize to work for changing the system into one where the people can benefit from the full automation that is to come.

    The new average of global robot density in the manufacturing industry surged to 141 robots per 10,000 employees – more than double the number six years ago.

    The following is a very basic calculation with many assumptions, of course, but if it continues doubling in six years as stated that would be less than 40 years for full automation. And that’s before taking into account more focus on making robots as they get better or robots getting better to the point they can make more robots faster and cheaper by themselves.


  • It’s indeed much better.

    I already had a good grasp on reality before becoming a communist by looking at things more scientifically, but having a proper understanding of and giving more emphasis to class struggle was a huge boost to my understanding of society. It was also nice knowing there were ideas/systems more advanced than what I had come up with as pretty much nothing that came out of pro-capitalism writings and media was any good.