The next interface to biology may not be a dashboard.
It may be a conversation.
I just read a new preprint by Yanbo Zhang and Michael Levin that feels like it belongs in the โthis may open an entirely new categoryโ folder.
The paper is called:
โLanguage Game: Talking to Non-Human Systemsโ
And the question at its center is extraordinary:
Can a non-human system speak in its own voice?
Not metaphorically.
Not by having an LLM hallucinate a personality for it.
Not by asking ChatGPT to explain what a biological system โmight mean.โ
The authors are asking something much more precise:
Can we build an interface where a system โ a gene regulatory network, a microbial consortium, a fungus, a dynamical system โ responds through its own behavior?
Their answer is: make language a game.
Following Wittgensteinโs idea that meaning comes from use, Zhang and Levin treat communication as something that emerges inside a shared environment.
A human gives a prompt.
An LLM routes that prompt into the right reinforcement-learning โgame.โ
The game creates a state where the desired response is the rational action.
Then the non-human system acts.
The crucial part:
The LLM is not speaking for the system.
The systemโs own dynamics are frozen and used as the nonlinear core of the policy. Only the simple input/output interfaces around it are trained. The reply comes from the systemโs behavior inside the game.
In their experiments, the authors apply this to 14 biological gene regulatory networks, the Lorenz attractor, and 16 reinforcement-learning tasks โ showing that different biological dynamical systems have different โconversationalโ affordances and inductive biases.
This is not โbiology is secretly English.โ
It is something deeper:
Maybe the way to communicate with unfamiliar intelligence is not to decode its private inner language.
Maybe it is to design a shared game where action becomes meaningful.
That idea has huge implications.
For AI, it reframes language as policy.
For biology, it suggests a path beyond molecular micromanagement toward interactive interfaces with cells, tissues, organs, and pathways.
For medicine, it hints at a future where we do not merely intervene in living systems, but negotiate with their dynamics.
For philosophy, it turns Wittgenstein into an engineering program.
The phrase that keeps coming back to me:
The game is the translator.
A human and an alien can play tic-tac-toe without sharing the same representation of the board.
A gene regulatory network and a human may not share symbols.
But if both are coupled through the right game, behavior can carry meaning.
This is the kind of paper that does not just answer a question.
It changes what questions feel askable.
Full credit to the authors: Yanbo Zhang and Michael Levin.
Paper: Language Game: Talking to Non-Human Systems
arxiv.org/abs/2605.16321
Iโm attaching the first page because the abstract alone is worth studying.
If this framework holds, the future of humanโnonhuman communication may not begin with translation. It may begin with play.
#ArtificialIntelligence #SystemsBiology #GeneRegulatoryNetworks #ReinforcementLearning #Bioelectricity #ComplexSystems #EmbodiedIntelligence #AIResearch #Biology #Cognition #MichaelLevin