Are there at least 100 academic papers that argue AGI is impossible?
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This market resolves YES if someone proves the existence of at least 100 academic papers arguing that smarter than human AI is impossible. It resolves NO if nobody has presented evidence when the market closes.

Academic paper as used above is defined as any paper published in an academic journal.

Evidence could be for example by linking to the papers.

Different versions of the same paper counts once in total.

If an author makes multiple different papers they count 1 each.

Examples could include but is not limited to papers that argue in this vein:
- Godel's incompleteness theorems make it so computers can't know stuff we can know.

- You need feelings to for many types of cognition, and computers can't have feelings.

- Chinese room shows us machines are just doing mechanistic processing which obviously doesn't have consciousness, therefore they will never be able to surpass the human intellect.

- Humans think in stories while computers think in math. The equality operator is symmetric in its arguments, therefore computers can't model causality which is what you need to do planning and take over the world. Humans however have neurons that fire with directionality, thus they can model the universe's causal structure.

- *Says in the abstract that AGI is impossible which means we don't have to worry about it. Then later down in the paper defines AGI as "being literally identical to a human" in some verbose indirect way. Then proceeds to use this definition to argue why AGI is impossible because computers are made of silicon which is not what humans are made of. Then concludes that smarter than human AI is impossible*

- Computers will never be smarter than humans because they need to be programmed, which means they don't have free will. Without free will you have no intentional volition, which is a prerequisite for a moral agency. Clearly if you have no moral agency you don't have feelings etc.

- Computers will never be energy efficient enough to power a smarter than human AI.

- The halting problem shows that computers can't compute everything, this means they can't be smarter than humans.

- Brains are analog and computers are digital, so computers will never capture the nuance and continuity of human thought.

- Evolution took billions of years to make human intelligence. Since computers don’t evolve biologically, they can never reach that level of sophistication.

- Intelligence requires embodiment in the physical world. Since computers don’t have bodies that grow, feel pain, or die, they can never have humanlike cognition.

- True creativity requires "breaking the rules." Since computers always follow rules, they can’t be creative.

- Human thought is non-algorithmic because Gödel/Turing proved limits of formal systems. Since computers are formal systems, they cannot think the way humans do and won't compete with us many domains.

- Computers can only do what they are told (mechanical symbol shuffling), whereas humans can think about what they are thinking, so they are fundamentally different in what they're able to do.

- Consciousness is irreducible, and because computers lack it, they cannot achieve true intelligence no matter how complex they are.

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You should probably tighten the resolution criteria a bit by saying "published in an academic journal indexed by (WebOfScience or Scopus or Semantic Scholar or OpenAlex). Pick one depending on how strict you want the criteria for what counts as an academic journal to be. I've listed 4 main indexes, roughly in terms of how stringent their inclusion criteria are.

Note that I have not included Google Scholar, as the criteria for being included in Google Scholar are: a) Be a PDF b) Have a title, list of authors, and a references section c) Be publicly available on the web. As such, there are all manner of things that are not legit academic journals in Google Scholar (and thus in all the major LLMs too, caveat quaesitor).

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