Electrical signaling
Action, variation and systemic potentials: the fast, long-distance signals that travel through living tissue.
Open exploration of intelligence
Exploring how intelligence emerges across living systems.
An open exploration of intelligence, adaptation and communication across the living world.
Vision
Understanding intelligence beyond familiar boundaries.
Intelligence usually means brains. Yet a root, a fungal network or a colony of ants also senses its surroundings and acts on what it finds, with no brain anywhere.
Auriora is an open research initiative that takes this seriously. We build instruments that measure how plants and their networks signal, and we publish everything we make. Whether the word intelligence reaches that far is a result we are after, not an assumption we start from.
The question
What is intelligence, and how does it emerge in different systems?
Most of us think we know intelligence when we see it. Try to say what actually makes a system intelligent, though, and the answer gets slippery fast.
A dog that has been to the vet once will refuse the car the next time. A bean seedling turns toward the window within hours, and its root grows around a stone it has never touched. An ant colony has no one in charge, yet it reroutes when the path to food is blocked. Nothing about these cases looks alike.
What they share is harder to name. Each takes in something from its surroundings and changes what it does because of it. Whether that deserves the same word in every case is exactly what we do not know.
What, if anything, do these systems have in common?
And is it the same thing we mean when we say intelligence?
An open question
Why do we still struggle to explain intelligence?
Partly because we have only ever had one example to study closely: ourselves. Definitions built on human cognition travel badly to a root tip or a mycelium.
Partly because the field has been long on ideas and short on measurements. Claims about plant signaling, for instance, are easy to make and hard to repeat, because the raw recordings and the exact setup behind them are often not shared.
So there is still no agreed answer to what intelligence is, whether it comes down to one mechanism, or why it shows up where it does. We do not expect that answer to come from arguing about definitions. It will come from better observations, made in the open.
Principles
How do we explore the unknown?
We measure before we interpret. The recording comes first, and the explanation is allowed to change when the next recording disagrees with it.
Everything stays open: the instrument designs, the raw data and the reasoning that connects them. If a result cannot be reproduced from what we publish, we treat that as a bug.
Careful engineering is not a separate concern from careful science. A signal is only as trustworthy as the tool that recorded it.
Where we focus
Starting where the signals are measurable.
If intelligence is more widespread than our categories assume, the place to find out is where the signals can actually be recorded.
Auriora begins where sensing and signaling are most directly observable: in plants and the fungal and mycorrhizal networks they form. It does not begin by assuming that plants are intelligent and then set out to prove it. It begins with what these systems measurably do, and lets the evidence decide what the word means here.
Chemical signaling
Volatile and chemical cues by which plants and their networks sense, warn and influence one another.
Light and photobiology
How living systems read the spectrum, direction and timing of light, and reshape themselves in response.
Sound and vibration
Mechanical and acoustic signals as stimuli, and potentially as information the organism acts on.
Direction
Beyond familiar definitions.
Plants are the starting point, not the boundary.
Once the same signals can be recorded reliably in one kind of organism, the interesting question is whether they turn up elsewhere: in fungal networks, in colonies, in lineages that parted ways with plants more than a billion years ago. If they do, that says something about intelligence in general. If they don't, that says something too.
Auriora is not a theory of intelligence. It is a place to work on the question in public, with instruments and data anyone can check.
New Perspectives
Human cognition is one case among many, not the yardstick.
Open Research
Designs, data and arguments are published, so being wrong is easy to show.
Beyond the Human
Plants and fungal networks first, because that is where the signals can be measured today.
Shared Discovery
Nobody owns the question. Work from any field is welcome, and credited.
What we are building
Instruments for open exploration.
A question this open needs instruments, and the field's hardest problem is reproducibility, not imagination. Auriora develops open, modular hardware and software for measuring and stimulating living systems with coordinated timing across modules.
The first modules in development measure plant electrical signals, control light for photobiology, and generate programmable sound for stimulation. They are designed to run together, so light- or sound-evoked electrical responses can be recorded as one experiment rather than in isolation.
Everything is built in the open under a single engineering standard, covering hardware, firmware, software and documentation alike. Reproducibility is concrete here: open designs, versioned interfaces, documented calibration, and timing recorded with the data, so an experiment can be repeated by someone else, not merely described. The standards and guides are already public; the instrument repositories follow as each module reaches a releasable state.
If you study plant or network behavior, these instruments are being built for you to use, question and improve. To take part, write to [email protected].
Open questions deserve open instruments.
Explore the work on GitHub