Top Tweets for #Diverseintelligence

5 months ago

Cool paper on a new "Physics of Agency". Neuro-centrism is over: from gene networks to embryos, intelligence is scale-free. #DiverseIntelligence @robertchisciure @drmichaellevin #ActiveInference #BioElectricity #Biology #CognitiveScience #Agency #TAME https://t.co/buRcYsYGgI

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5 months ago

Is intelligence substrate-independent? A new paper on Diverse Intelligence proposes a unified theory for all agents—from cells to AI. #AI #CognitiveScience #DiverseIntelligence #MachineLearning #Biotech @drmichaellevin @BeneHartl @LPiolopez Chris Fields https://t.co/3OGdCuPwls

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6 months ago

#Biology isn't just molecular mechanics; it’s a landscape of diverse intelligences in anatomical space. #Bioelectricity communicates with cellular collectives. https://t.co/ErORb45mfx @drmichellevin #DiverseIntelligence #RegenerativeMedicine #CognitiveScience #Morphogenesi

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6 months ago

Treating #GeneRegulatoryNetworks as agents navigating a problem space. Researchers use curiosity-driven AI to map their “goal states” and behavioral competencies. https://t.co/75mgMtv2wF @drmichaellevin #Biology #SyntheticBiology #AI #DiverseIntelligence #Bioengineering

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10 months ago

Cool resource ⁦@drmichaellevin⁩ Academic Content. An incredible collection of talks in one place from #bioelectricity & #diverseintelligence to the future of understanding and #consciousness. So much to dive into! #FutureofScience https://t.co/oZEdMIa5mE

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11 months ago

Why Neuroscience Got Everything Backwards! Cool cutting edge interview between @drmichaellevin Michael Levin and @Plinz Joscha Bach. @TOEwithCurt #Cells #Neurons #Brain #Neuroscience #embodiment #Diverseintelligence https://t.co/4jXXXjhw1u

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about 1 year ago

Against Mind-Blindness: @drmichaellevin New Talk on how data on bioelectrics show cellular collectives as cognitive agents in morphospace. #DiverseIntelligence #Morphogenesis #Bioelectrics #EmbodiedIntelligence #regenerativemedicine #CognitiveScience https://t.co/gLj4Y27eyl

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Sai Prashanth @saiprashanth124

about 1 year ago

Recent AI discussions miss crucial insights from diverse intelligence (DI), synthetic morphology, & developmental biology and requires understanding the spectrum of possible beings. ⁦@drmichaellevin⁩ #AI #DiverseIntelligence #DevelopmentalBiology https://t.co/vWxWWDt4zi

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about 1 year ago

AI isn't just about machines anymore, it's about redefining what it means to be alive. Michael Levin's groundbreaking work challenges us to think beyond human-centric narratives and prepare for a world of unconventional bodies and minds. #AI #DiverseIntelligence #FutureOfLife

about 1 year ago

New paper - AI from a diverse intelligence perspective: https://t.co/aybgfjwSrZ Abstract: "Recent discussions and debate around artificial intelligence (AI) and its status are notably incomplete, missing the implications of highly relevant aspects of the emerging fields of diverse intelligence (DI) and synthetic morphology, as well as of basic facts of developmental biology. Herein, it is argued that human flourishing is impossible without an appreciation of the space of possible beings and of the ways in which today's intelligent machine debates are about universal existential questions facing biological beings, not just AI. The inevitable arrival of a wide set of unconventional bodies and minds as humans modify and create new forms will disrupt untenable old narratives of what people are and how to recognize their sentient allies in unfamiliar guises. Herein, the issues engendered by the advent of AI from the perspective of the field of DI and the evolutionary history of the bodies and minds are discussed."

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Merary Rodriguez

@Kabuki91178

over 1 year ago

Loved your @NoemaMag piece, it’s like bioelectric signaling itself, not binary but gradient 😉 Happy Birthday to the man who knows cells aren’t just tiny machines or mini souls, but conversational partners with varying vocabularies. 🧠⚡ #Bioelectricity #DiverseIntelligence #HappyBirthday #MoreHumanThanHumanProject

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over 1 year ago

@Mark_Solms Thank you so much for the discussion! And thanks to the attendees of the APsaA for listening and the great questions. #psychoanalysis #DiverseIntelligence #UnconventionalCognition https://t.co/i3r6f7FWDD

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over 1 year ago

New #preprint from @FrancescoSacco1 and @DaltonSakthi - physics, #self-organization, #diverseintelligence: https://t.co/cpAwm64SSp "Topological constraints on self-organisation in locally interacting systems" Abstract: All intelligence is collective intelligence, in the sense that it is made of parts which must align with respect to system-level goals. Understanding the dynamics which facilitate or limit navigation of problem spaces by aligned parts thus impacts many fields ranging across life sciences and engineering. To that end, consider a system on the vertices of a planar graph, with pairwise interactions prescribed by the edges of the graph. Such systems can sometimes exhibit long-range order, distinguishing one phase of macroscopic behaviour from another. In networks of interacting systems we may view spontaneous ordering as a form of self-organisation, modelling neural and basal forms of cognition. Here, we discuss necessary conditions on the topology of the graph for an ordered phase to exist, with an eye towards finding constraints on the ability of a system with local interactions to maintain an ordered target state. By studying the scaling of free energy under the formation of domain walls in three model systems -- the Potts model, autoregressive models, and hierarchical networks -- we show how the combinatorics of interactions on a graph prevent or allow spontaneous ordering. As an application we are able to analyse why multiscale systems like those prevalent in biology are capable of organising into complex patterns, whereas rudimentary language models are challenged by long sequences of outputs."

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over 1 year ago

What is the relationship between causal emergence and learning? New preprint https://t.co/7LbvN1io9D where @PigozziFederico and I study this in a minimal in silico system. #basalcognition #diverseintelligence An agent needs to be integrated into a coherent, emergent whole to learn things that none of its individual parts know (or can know). But, does it work in reverse too? Does learning make you more (or less) of an integrated whole? We use our model of training gene regulatory network models, to ask: when something learns, what happens to its causal emergence? Bottom line, it turns out that associative conditioning significantly affects emergence in GRNs and there are 5 discrete ways in which that happens - a new way to categorize networks. Many networks increase their status as an integrated entity after being trained. A more detailed explanation on my blog: https://t.co/yibglob2kH . Lots of possible implications here for use of causal emergence metrics in unconventional agents and for ways to exploit the rise in agency in therapeutic settings (GRNs and pathways relevant to health and disease, https://t.co/DdEhwS2yuO).

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