hartl.bene
@BeneHartl
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physics, AI, sometimes both. genuinely curious
Joined July 2019
Brandolini’s Law (also known as the bullshit asymmetry principle): The amount of energy needed to refute bullshit is an order of magnitude bigger than that needed to produce it.
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All sessions are over @ALifeConf then we decided to find a definition of *life*. Problem solved! 👇 LIFE: persistence of (1) replicating processes and (2) modelling across scales in dynamic environments By Clifford Bohm, @BeneHartl, Etienne Guichard & @stenichele
#ALIFE2025
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Repetition rewires your brain. Repeat what you want to become. This is neuroplasticity.
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You can try it for yourself here: https://t.co/Q5o1Dj4cTe Read more about neural cellular automata: https://t.co/0iBsgDV26m
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New #preprint - @BeneHartl @LPiolopez
https://t.co/OTC3cLq0BY "Neural cellular automata: applications to biology and beyond classical AI"
arxiv.org
Neural Cellular Automata (NCA) represent a powerful framework for modeling biological self-organization, extending classical rule-based systems with trainable, differentiable (or evolvable) update...
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Science doesn’t need to go according to plan; it just needs to lead to a discovery. If doesn’t have to be done alone or together with a buddy; there just needs to be a discovery. It doesn’t need to happen fast or slow; just as long as there’s a discovery, then everybody is happy.
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Can AI save the day? check out our new tool for pre-submission review (find your paper's weak spots in time!) it's called q.e.d. ( https://t.co/XS5o6Wsf9F)
qedscience.com
Critical Thinking AI for constructive criticism and science evaluation
Journals and funders are trying to boost the speed and effectiveness of review processes that are under strain https://t.co/e8Eeua7WM4
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bioRxiv has a dedicated section for negative results. Use it. Share negative results. Your colleagues will appreciate it.
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Check out this hands-on simulation by @lksshw : https://t.co/i2AbGgydoV try it out and let us know if you find anything interesting! this is related to our paper on game theory dynamics in morphogenesis: https://t.co/3nHNilqURC (@PigozziFederico, @adamjgoldstein) see also
ieeexplore.ieee.org
Evolutionary developmental biology, biomedicine, neuroscience, and many aspects of the social sciences are impacted by insight into forces that facilitate the merging of active subunits into an...
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Local consistency does not necessarily imply global consistency :-)
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Turing Award winner Richard Sutton says humanity's purpose is to create what comes next. Our role is to design something that can design. AI is that thing. “We are the catalyst. The midwife. The progenitor of the fourth great age of the universe.”
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Final version is out @PigozziFederico @adamjgoldstein
https://t.co/HRHBuqctWT "Associative conditioning in gene regulatory network models increases integrative causal emergence". Described here: https://t.co/OKcv1eSoSa lots more coming on this, stay tuned.
thoughtforms.life
A description of our findings in a recent preprint on effects of training on causal emergence in a model of gene-regulatory networks
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How to build a thriving open source community by writing code like bacteria do 🦠. Bacterial code (genomes) are: - small (each line of code costs energy) - modular (organized into groups of swappable operons) - self-contained (easily "copy paste-able" via horizontal gene
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A review of criticality in the brain, as characterized by its hallmark features, namely, scale invariance, marginal stability, tunability, and generative capacity, and its implications.
Is criticality a unified setpoint of brain function?: https://t.co/tMhAzTkWyu "We perform a meta-analysis of 140 datasets published between 2003 and 2024. We find that a long-standing controversy is the product of a methodological choice with no bearing on underlying dynamics."
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Final version of this paper with @AMPietak is now out: https://t.co/gezYXdVGF3 "Harnessing the analog computing power of regulatory networks with the Regulatory Network Machine" Abstract: gene regulatory networks (GRNs) are critically important for efforts in biomedicine and
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New paper with @BeneHartl : 'What does evolution make? Learning in living lineages and machines" https://t.co/dT1AKjAyQU Genes code for proteins, but what is the relationship between the genome and the large-scale form and function of organisms? What is a good formalism for
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New #preprint with @drmichaellevin: https://t.co/wAz36k4IkY What does evolution make? Learning in living lineages and machines.
osf.io
What is the origin of the complex, highly functional patterns of form and behavior observed in the living world? Specifically, how does the information in the genome unfold and give rise to self-co...
New #preprint @BeneHartl
https://t.co/MlB29AwjJw "What does evolution make? Learning in living lineages and machines" A perspective on some ideas tying together ideas from computer science and evolution/genetics/developmental biology. Covers cool recent work from
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