Definitions of intelligence https://arxiv.org/abs/0706.3639 https://arxiv.org/abs/1911.01547 https://agisi.org/Defs_intelligence.html https://www.researchgate.net/publication/327275080_Getting_Clarity_by_Defining_Artificial_Intelligence-A_Survey https://en.wikipedia.org/wiki/Intelligence#Definitions What is intelligence? https://imgur.com/edP996M It's interesting that when people try to apply all these different definitions and measure them across all the different existing AI systems, how much diversity of classifications they can get from it. https://arxiv.org/abs/1911.01547 https://arxiv.org/abs/0712.3329 https://en.wikipedia.org/wiki/AIXI '"chain-of-thought tree-of-thought monte-carlo-tree-of-thought graph-of-thought backtracking-tokens-of-thought vector-space-of-thought oh-wait-that's-just-a-model-of-thought hilbert-space-of-thought non-euclidean-geometry-of-thought covariant-general-relativity-of-thought" https://x.com/aidan_mclau/status/1836788220719460413 ""The variety of other beings that we're going to be living with is going to be incredible." Michael Levin foresees a future of cohabitation with cyborgs, hybrots, AIs, chimeras - a breathtaking "spectrum" of minds. We must avoid the human tendency to create "in-group out-group separations" that threatens severe ethical breakdowns. "Machine versus life distinction is pernicious." Compassion for all future beings that are "not precisely like us" is crucial." https://x.com/vitrupo/status/1892669050607501709 https://pmc.ncbi.nlm.nih.gov/articles/PMC10470035/ definitions of intelligence https://agisi.org/Defs_intelligence.html https://www.researchgate.net/publication/327275080_Getting_Clarity_by_Defining_Artificial_Intelligence-A_Survey https://plato.stanford.edu/entries/abstract-objects/ "Scaling Intelligence in Biology, Artificial Life, and Beyond" by Michael Levin https://www.youtube.com/watch?v=FzFFeRVEdUM https://x.com/TheAITimeline/status/1921626740675248338 This week's top AI/ML research papers Flexible use of a multi-purpose tool by a cow https://www.cell.com/current-biology/fulltext/S0960-9822(25)01597-0 Levin + Bennet https://arxiv.org/abs/2601.12837 https://arxiv.org/abs/2601.07364 "This paper first introduces four criteria for evaluating intelligence definitions based on R. Carnap's methodology of conceptual clarification: similarity to explicandum, exactness, fruitfulness, and simplicity. We then examine six representative definitions: IQ testing, complex problem-solving ability, reward optimization, environmental adaptation, learning efficiency, and predictive ability, and clarify their theoretical strengths and limitations." "This paper proposes the Extended Predictive Hypothesis (EPH), which views intelligence as a combination of the ability to accurately predict the future and the ability to benefit from those predictions. Furthermore, by distinguishing predictive ability into spontaneous and reactive predictions and adding the concept of gainability, we present a unified framework for explaining various aspects of intelligence, such as creativity, learning, and future planning." https://www.nature.com/articles/s42003-025-09354-4_reference.pdf https://fxtwitter.com/i/status/2021771835109740939 "People with higher IQ scores showed greater intermodular connectedness in specific frontal and parietal brain regions\. The ability of brain networks to adapt their connections efficiently to allow for fast switches between cognitive tasks seems to explain high IQ scores" https://labs.psychology.illinois.edu/~lyubansk/IQdef.htm definitions of intelligence https://arxiv.org/abs/2409.05513 Towards "unification between physics and computer science to understand the relationship between energy and information" https://x.com/hadivafaii/status/2033653562774007812 Intelligence without brains, neural networks and cells More empirical evidence of pavlovian conditioning in single cell organisms and gene regulatory networks https://youtu.be/aQa0DowQ_oE?is=FDEoeekTnCYI7aZE https://youtu.be/fJxHNtPazN0?is=vRdeQRlsntWfO07V Different languages, similar encoding efficiency: Comparable information rates across the human communicative niche https://x.com/i/status/2050209493540086049 https://www.science.org/doi/10.1126/sciadv.aaw2594 https://royalsocietypublishing.org/rsta/article/384/2320/20240533/481677/World-models-artificial-general-intelligence-and https://youtu.be/0BS-BzEFTXA?is=etfolViNIWR1m-Kx