The ones that I find the most useful for research code are integration tests. Whenever adding a new feature for a new experiment, it's really nice to quickly be able to tell that it's not breaking the whole pipeline. Plus it helps for coding assistants

absolutely, there should be more communication about this soft knowledge, specially for 1st gen. btw, belated congratulations for your submission! :)

One big issue is Phd funding being linked to the supervisor's grant. Being good at research or getting grants alone doesn't make for a good supervisor. We should aim at having most phds funded by cohort programs, initiatives like DARA in DK.

Indeed, energy conversation would be interesting. I also suspect that a less homogeneous distribution of energy might already lead to more speciation and complexity emerging. Energy flow is too homogeneous here for long tail structures to survive long enough.

Particle life :)

- Other minds by @petergs.bsky.social
- Ways of being by @jamesbridle.bsky.social
- Immune by Philipp Dettmer
- The self-assembling brain by Robin Hiesinger
- What is intelligence by @blaiseaguera.bsky.social
- Life as no one knows it by @saraimari.bsky.social
- Thread ripper by Amalie Smith

Also shot out to co-organizers @miltonllera.bsky.social, @eplantec.bsky.social & Eleni Nisioti

Complexity metrics, reservoir computing and NCA applied to the ARC problem the distributed cipher session

Evolution of trust. Using game theory in multi agent systems by Elias Fernández

In terms of fun papers, nothing beats the Artificial Life journal
direct.mit.edu/artl & the @alife2025.bsky.social proceedings