i think extrapolating that 2024 will bring at least one advancement in AI is a pretty reasonable bet
RESEARCH
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SAS Academy for Data Science: Elevate Your Skills March 21
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Elevate your skills using SAS + keep pace with the most innovative tech. Join us on March 21 to learn more about the SAS Academy for Data Science. http://
2.sas.com/6012nYq6s #DataScientist -
Unsettling AI Prompt Engineering Science Fiction Story
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An extremely unsettling science fiction story about prompting AI, told in the format of a Wikipedia article from the future (
@qntm is pretty good at unsettling science fiction stories). Also an absolutely amazing reference in the title. -
AI-Human Collaboration Reshaping Clinical Medical Evaluations
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Many healthcare practitioners expect generative tools to become increasingly adopted in medical evaluations. But how will they fit into clinical settings? A new study suggests a future where human doctors and AI collaborate to improve patient outcomes. https://
stanford.io/3TgGelF -
Failed Attempts at Advanced AI Development by Leading Researchers
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I agree, but only in the sense that we have created several Frankensteins (dedicated guys with big labs), but none of them has succeeded in creating a decent monster
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1-Bit LLMs: New Era in Language Model Quantization
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The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits Ma et al.: https://
arxiv.org/abs/2402.17764
v1
… #ArtificialIntelligence #DeepLearning #MachineLearning -
Mind Upload Limitations: Connectome Data Proves Insufficient
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In practice, if you want a faithful substrate based copy, the connectome is not sufficient. You may have to get data from the soma of cells, scan a lot of RNA and need to digitize not just your nervous system. Substrate based upload may not be a realistic path.
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Do Frontier LLMs Actually Reason? New Evidence Suggests Yes
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It is fascinating that, over a year after ChatGPT released, we still don't actually know when, if, and how well frontier LLMs "reason." There have been some papers suggesting limits to reasoning, but this new work finds that LLMs, while not as good as humans, can do reasoning. https://t.co/PlMiNE2RFJ
— Ethan Mollick (@emollick) 28 février 2024It is fascinating that, over a year after ChatGPT released, we still don't actually know when, if, and how well frontier LLMs "reason." There have been some papers suggesting limits to reasoning, but this new work finds that LLMs, while not as good as humans, can do reasoning.
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Mind Uploading and Substrate Independence Theory Debate
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I think there is nothing wrong with what Andy Clark says here. At least in theory, it should be possible to extract the substrate configuration that gives rise to your experience of yourself, and implement it on a different substrate (= upload).