Posts

Google DeepMind’s Perch model helps conservationists analyze audio faster to protect endangered species, from Hawaiian honeycreepers to coral reefs. https://deepmind.google/discover/blog/how-ai-is-helping-advance-the-science-of-bioacoustics-to-save-endangered-species/

In previous articles we defined terms like agent and swarms, and looked at a major difference between natural and artificial adaptation, time.

“Nature does not hurry, yet everything is accomplished.” – Lao Tzu In part one and part two, we’ve explored how biological agents — ants, birds, bees — operate without central control, memory, or explicit goals.

In part one, we asked what it means to call something an agent. We contrasted modern AI agents — designed to achieve explicit goals — with biological agents like bees or ants, which follow simple rules without necessarily “understanding” their purpose.

In 2025 the term “agent” has been dusted off and it is seeing another time in the sun. My first experience was with printer drivers… remember printers?

This is part 3 of the Tide Foundation’s five part series on their distributed approach to securing computers. https://tide.org/blog/swarm-intelligence-future-security

https://www.science.org/content/article/ants-best-humans-test-collective-intelligence

adaptive-emergent now has a more focussed direction. Part one of this series looked at the history from 2015 to 2021; Part two explained why adappt.

adappt’s heritage is in its name. Read all parts to this series: In part one, we reviewed what was adappt.io, from 2015 to 2024.

This series of blog posts starts off a new direction for an organisation that went from a going concern… to a passion project, and the realisation that the name outlived its purpose.