Talk:Restless Souls/Technology: Difference between revisions

The '''nature of automatization''' changed over the '''industrial revolutions''', from raw power over how it is used (management by computers, control through digitalization) to information itself. In school, the first thing we learned - and that remained - is the steam engine and the power loom.

Scalled up machine learning and AI will change everything, eventually. But from now on it will happen '''in software at first'''. Sofware is naturally the first target and any '''implementation in robotics will need additional development''' and testing. -- Or in short: Improvements (and job change) in any "classic" industry happens too, but in a delayed fashion.

The race is on. Pausing or stopping AI research across the entire planet is not possible, an illusion. If USA pauses, China is unlikely to follow suit, and vice versa. Like nuclear weapons, AI will spread. — Research should continue at all times. What services should be given public access is a different question. — AI regulation is realistically a topic for later when mutual delivered punches have increased mutual agreement. Like restriction of [[wp:Weapon_of_mass_destruction#International_law|weapons of mass destruction]].

Hallucinated facts and discrimination through bias call for more research… If this is not about their irrational fears, the arguments by the tech scene seems pretextual twisted to not lose the race against competitors. A camouflaged lobby action…

* General critic: LLMs are "stochastic parrots", Emily Bender, [https://www.zeit.de/digital/2023-04/emily-bender-ki-gefahr-ethik zeit.de]

In philosophical view GPTs are kind of mind-uploaded intelligences whereas language serves as a transport container: semantics via syntax. The training of a LLM is therefore not "learning" but "translating" algorithims from biolgical to synthetic hardware. And it is good that we didn't mind-upload an individuum but rather a combined condensate of human's collective knownledge. ''''Humans did all the work by having learned intelligence by simply growing up and by going to school, the LLM get it (poorly) transplanted.'''

Strongly reformulate this:

A human constantly receives input, and triggeres learning. LLMs lack these "interistic" dynamics. And having "interistic" dynamics is considered necessary for possessing Big-C. Strong creativity could be reached in other ways, but for now LLM do not posses this ability by default.  

The biggest mistake would be to let an LLM "believe" that it is alive or that it can feel fear while it is/can not.

* Humans talking this meme into LLM has to be avoided.

You could also say: when tell a child from the very beginning that it is a robot, it will believe it is a robot and behave like one.

Since vast computing capacities and the AI itself must be on stand-by they can be used in the meantime in a positive fashion for dual use: helping the research community and the citizens. [...] "Science society". [...] Team work for democratic systems. [...] The more work together the greater LLM / AI we can have.  

For obvious reasons, this will be kept in bigger GPTs/AIs.

The continuation of bullshitty geopolitics ... because of the lack of alternatives ... Either we help weaker states with cyber defense or we risk that they reject the Western world and their Chinese vassalisation. Either way, some supported governments will use the given tools to stay undemocratic in power. It will need many smart heads to mitigate this problem.