iiinova — where your digital self keeps evolving

Joachim W Pedersen @joachimwpedersen.bsky.social · 24/02/2026

My colleagues are hosting a workshop for this years #GECCO: evolving-self-organisation-workshop.github.io/gecco-2026/ The headline is Evolving Self-Organisation. Can't wait to see all your interesting submissions! Great for #ALife and #ALICE researchers as well!

evolving-self-organisation-workshop.github.io

EvoSelf 2026

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Sakana AI @sakanaai.bsky.social · 30/05/2025

Introducing The Darwin Gödel Machine sakana.ai/dgm The Darwin Gödel Machine is a self-improving agent that can modify its own code. Inspired by evolution, we maintain an expanding lineage of agent variants, allowing for open-ended exploration of the vast design space of such self-improving agents.

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Sakana AI @sakanaai.bsky.social · 12/05/2025

“Continuous Thought Machines” Blog → sakana.ai/ctm Modern AI is powerful, but it's still distinct from human-like flexible intelligence. We believe neural timing is key. Our Continuous Thought Machine is built from the ground up to use neural dynamics as a powerful representation for intelligence.

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Joachim W Pedersen @joachimwpedersen.bsky.social · 26/03/2025

New submission deadline: April 2nd! So still some time to put interesting thoughts on Evolving Self-Organization together! Also: We are very fortunate to have the great Risto Miikkulainen as the keynote speaker at the workshop! Can't wait to see you all there! 🤩🙌 #Evolution #Gecco #ALife

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Joachim W Pedersen @joachimwpedersen.bsky.social · 19/03/2025

www.youtube.com/watch?v=jnoa... Bio-Inspired Plastic Neural Nets that continually adapt their own synaptic strengths can make for extremely robust locomotion policies! Trained exclusively in simulation, the plastic networks transfer easily to the real world, even under various extra OOD situations.

youtube.com

[IROS25] Bio-Inspired Plastic Neural Nets for Zero-Shot Out-of-Distribution Generalization in Robots

YouTube video by Worasuchad Haomachai

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Joachim W Pedersen @joachimwpedersen.bsky.social · 26/02/2025

Remember that 4-page submissions of early results are also welcome! Also, does anyone know if #GECCO has an official 🦋 account? I cannot seem to find it...

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Joachim W Pedersen @joachimwpedersen.bsky.social · 10/02/2025

Join us for the Evolving Self-Organisation workshop at #GECCO this year! Great chance to submit your favourite ideas concerning self-organisation processes and evolution, and how they interact. Relevant for Alifers #ALife and anyone interested in #evolution, #self-organisation, and #ComplexSystems.

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Sebastian Risi @risi.bsky.social · 21/01/2025

Ever wish you could coordinate thousands of units in games such as StarCraft through natural language alone? We are excited to present our HIVE approach, a framework and benchmark for LLM-driven multi-agent control.

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Joachim W Pedersen @joachimwpedersen.bsky.social · 15/01/2025

With all the research coming from Sakana AI, this figure needs to be updated fast! direct.mit.edu/isal/proceed... #LLM #ALife #ArtificialIntelligence

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hardmaru @hardmaru.bsky.social · 15/01/2025

Transformer²: Self-adaptive LLMs arxiv.org/abs/2501.06252 Check out the new paper from Sakana AI (@sakanaai.bsky.social) paper. We show the power of an LLM that can self-adapt its weights to its environment!

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IT-Universitetet i København @itu.dk · 14/01/2025

Vi har samlet et starter pack med forskere og repræsentanter fra ITU på Bluesky. Mød dem her 👇 go.bsky.app/E8WJwXS

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Lazaros Nalpantidis @lanalpa.bsky.social · 08/01/2025

Can Dynamic Neural Networks boost Computer Vision and Sensor Fusion? We are very happy to share this awesome collection of papers on the topic!

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Mattia Rigotti @matrig.net · 22/12/2024

If microchip ~= silicon then AGI ~= huge pile of sand

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hardmaru @hardmaru.bsky.social · 10/12/2024

Neural Attention Memory Models are evolved to optimize the performance of Transformers by actively pruning the KV cache memory. Surprisingly, we find that NAMMs are able to zero-shot transfer its performance gains across architectures, input modalities and even task domains! arxiv.org/abs/2410.13166

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Joachim W Pedersen @joachimwpedersen.bsky.social · 04/12/2024

In deep learning research, we often categorize meta-learning approaches as either gradient-based or black-box meta-learning. In my PhD thesis, I argued that it can sometimes be useful to classify approaches based on how the outer-loop optimization affects the inner-loop optimization.

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Craig Reynolds @craigreynolds.bsky.social · 28/11/2024

Like 130,000 others, I made a starter pack. This one is people working on or with evolutionary computation in its many forms: genetic algorithms, genetic programming, evolution strategies. If you like to be added, or suggest someone else, message me or reply to this post.

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Antonino Greco @agreco.bsky.social · 17/10/2024

For the Blueskyers interested in #NeuroAI 🧠🤖, I created a starter pack! Please comment on this if you are not on the list and working in this field 🙂 go.bsky.app/CscFTAr

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Manlio De Domenico @manlius.bsky.social · 16/11/2024

A visionary Ross Ashby writing this, 62 years ago: “A type of system that deserves much more thorough investigation is the large system that is built of parts that have many states of equilibrium” csis.pace.edu/~marchese/CS... #ComplexSystems #Cybernetics

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Manuel Baltieri @manuelbaltieri.bsky.social · 13/11/2024

Here's an attempt to bring together ALife researchers and enthusiasts here, who am I missing? go.bsky.app/LgoJN2N

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Joachim W Pedersen @joachimwpedersen.bsky.social · 14/11/2024

Nothing like a country-side writing retreat in cozy surroundings! Expect new things from the Grow-AI project soon!

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