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Very excited to share ASAL! Artificial Life aims to recreate natural evolution, but is severely bottlenecked by hand-designed simulations. We propose using CLIP to automatically discover the interesting ALife simulations!

This video shows my grand vision for ALife: evolving alien intelligences from scratch. We're still far from achieving it. If you are interested in making it happen (through ALife or RL), please reach out!

We’re excited to introduce Transformer², a machine learning system that dynamically adjusts its weights for various tasks! sakana.ai/transformer-sq… Adaptation is a remarkable natural phenomenon, like how the octopus can blend in with its environment, or how the brain rewires

We're excited to announce the first Evolving Self-organisation workshop at GECCO 2025! Submission deadline: March 26, 2025 More information: …-self-organisation-workshop.github.io

New preprint. Accelerated co-design of robots through morphological pretraining. With Sam Kriegman. We pretrained a universal controller in minutes through differentiable simulation. Then we used it as a prior for zero-shot and few-shot evolution to discover robots like this:

pleased to share 'DiffLogic CA', made of the finest blend of NCA and binary-gate circuits! adopting Felix Petersen's differentiable circuit learning, we learn *stateful* circuits, recurrent in space & time. by Pietro Miotti, me, Alex Mordvintsev, Ettore Randazzo 1/5 google-research.github.io/self-organisin…

"Differentiable Logic Cellular Automata" is here!🎉 End-to-end differentiable, discrete-state NCA using logic gates! Self organizing systems, coming to hardware. Check it out: google-research.github.io/self-organisin… work done with Eyvind Niklasson, Ettore Randazzo and Alex Mordvintsev 1/4

a bit more than a week left until the submission deadline for the Evoself workshop at Gecco! if you're working on anything at the intersection of self-organisation (emergent or designed) and evolution, submit your work soon and come join us in Málaga in July!

Submission deadline extended till April 2nd! Also happy to announce Risto Miikkulainen will give a keynote on “Surprising Synergies of Evolution and Self-Organization” 🧬

Excited to share our latest work: “Bio-Inspired Plastic Neural Networks for Zero-Shot Out-of-Distribution Generalization in Complex Animal-Inspired Robots” 🪲🦎 We show that Hebbian learning outperforms LSTM-based adaptation for real-world transfer. It even works without domain

#ALIFE2025 special session call for papers: 🔥The Distributed Ciphers🔥 Cellular Automata, Distributed Dynamical Systems, and their Applications to Intelligence Hiroki Sayama Eric Medvet 🇪🇺 Chrystopher L. Nehaniv 🇺🇦 *Glory to Ukraine!* Mario Pavone ALIFE Conference 2025 nichele.eu/ALIFE-Distribu… Submission: May 4th, 2025

Announcing SONI: Self-Organising Neural Intelligence(s) 🧠 An #ALife2025 special session to bring together AI & ALIFE Conference 2025 communities to explore how self-organisation can contribute to neural paradigms of intelligence Call for papers sites.google.com/view/soni-alife |Deadline: May 4th

What Is Life? Evolution as Computation By Blaise Agüera (@blaiseaguera.bsky.social) Just finished reading this thought-provoking little book. Highly recommended if you’re interested in artificial life, self-replicating computer code, how it all relates to evolution, chaos, and AI. mitpress.mit.edu/9780262554091/…

Full time research position open at Google! Interested in how complexity emerges in AI? Join our Paradigms of Intelligence Team as a Research Scientist! We're exploring alternative paradigms beyond current trends. Focus on modularity & reuse. Apply now: shorturl.at/xdswe

New Paper: Continuous Thought Machines 🧠 Neurons in brains use timing and synchronization in the way that they compute, but this is largely ignored in modern neural nets. We believe neural timing is key for the flexibility and adaptability of biological intelligence. We

Could a major opportunity to improve representation in deep learning be hiding in plain sight? Check out our new position paper: Questioning Representational Optimism in Deep Learning: The Fractured Entangled Representation Hypothesis. The idea stems from a little-known

Excited to share our position paper on the Fractured Entangled Representation (FER) Hypothesis! We hypothesize that the standard paradigm of training networks today — while producing impressive benchmark results — is still failing to create a well-organized internal

🚀 New preprint! ARC-NCA shows how Neural Cellular Automata —incl. memory-rich EngramNCA—crack tasks from the ARC-AGI benchmark, hitting GPT-4.5-level accuracy at a fraction of the cost. 🌱🤖 Web: etimush.github.io/ARC_NCA/ Preprint: arxiv.org/abs/2505.08778 #NeuroAI #AGI #CA #ALIFE

New Paper! Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agents A longstanding goal of AI research has been the creation of AI that can learn indefinitely. One path toward that goal is an AI that improves itself by rewriting its own code, including any code

In exactly three months, my book “What Is Intelligence?” will be released via The MIT Press @mitpress.bsky.social & Antikythera. Within, I rethink traditional notions about AI, the brain, intelligence, evolution, and the big philosophical questions that have dogged these topics for millennia.