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not only is the discourse a distraction from the actual AGI research, but it falls very short of the bar for basic democratic civics and international sovereignty law. if you want to regulate all the GPUs and all the computers in the U.S., be ready to contravene the 1rst, 4th, 5th, and 10th amendments in the U.S. Bill of Rights. be ready to re-litigate the Zimmerman precedent that code, even when misclassified as a military munition, is still free speech. btw, since there's a very robust community around LoRAs and debate wrt 4-bit vs 3-bit vs 2-bit quantization, how are the "AI safety" proponents going to regulate SoCs that run QLoRA? how exactly does one clawback Falcon-40B (or the quantized iterations manifesting imminently)? are we planning on tracking every garage foundry that can ship RISC-V cores? do we even have the logistics oversight to keep track of gray market compute, since we can't even seem to handle drug smuggling in global freight?
same deal with amplification research like Tree of Thoughts, AdaPlanner, and Ghost in the Minecraft. same deal with agentized LLMs like Auto-GPT emphasizing testing regimens. they want efficiency and explainability, not this "mine is bigger than yours" nonsense coming out of Microsoft, Google, or Meta (which isn't even the entire picture of the opensource ML research within those firms either). There's this idealized "neurosymbolic AI" where everyone just wants code to do a job, so there should only be so much probabilistic behavior to learn the jobs that aren't learned to begin with, but the fact remains that the actual researchers and engineers want something that is as deterministic as imperative language can be. perhaps we'll achieve functional depth, and instead of some outdated "paperclip maximizer", we summon Maxwell's demon via a "complete" Church-Turing thesis. in other words, while a "vastly superior being in intelligence" is a really bad time for anyone that has an intellect-based superiority complex, the rest of us are humble enough to utilize this information science to further explore the unknown.
same deal with amplification research like Tree of Thoughts, AdaPlanner, and Ghost in the Minecraft. same deal with agentized LLMs like Auto-GPT emphasizing testing regimens. they want efficiency and explainability, not this "mine is bigger than yours" nonsense coming out of Microsoft, Google, or Meta (which isn't even the entire picture of the opensource ML research within those firms either). There's this idealized "neurosymbolic AI" where everyone just wants code to do a job, so there should only be so much probabilistic behavior to learn the jobs that aren't learned to begin with, but the fact remains that the actual researchers and engineers want something that is as deterministic as imperative language can be. perhaps we'll achieve functional depth, and instead of some outdated "paperclip maximizer", we summon Maxwell's demon via a "complete" Church-Turing thesis. in other words, while a "vastly superior being in intelligence" is a really bad time for anyone that has an intellect-based superiority complex, the rest of us are humble enough to utilize this information science to further explore the unknown.