A follow-up to “The Logogram Problem”
Samuel R. Lammie, with Claude (Anthropic)
A reader asked after “The Logogram Problem” where the empirical ground is — not the film, not the ecology, but the science that supports the claim that we have been drawing our diagrams wrong. The answer is closer than most people think, and it has been sitting in the astrobiology literature for a decade.
Lori Marino’s 2015 essay “The Landscape of Intelligence,” published in Steven J. Dick’s edited volume The Impact of Discovering Life Beyond Earth (Cambridge University Press), makes the case in scientific terms that the Logogram piece makes in ecological and cinematic ones. The convergence is not coincidence. It is what happens when different disciplines reach the same edge from different directions.
On April 1 of this year, the SETI Institute announced Marino as the 2026 Drake Award recipient — the Institute’s highest recognition, named after Frank Drake, architect of the Drake Equation. She was cited for advancing understanding of intelligence on Earth and beyond, and for applying that knowledge to foster meaningful scientific, ethical, and social change. It is worth pausing on that citation. The award is given by an institution whose central project is the search for extraterrestrial intelligence, and they gave it to a scientist whose most important contribution has been showing that the intelligence we are searching for elsewhere is already more varied and more distributed on this planet than we have allowed ourselves to see. That is the argument I want to follow here.
Marino’s central target is the scala natura — Aristotle’s ladder of nature, with inorganic matter at the bottom and humans at the top, every other form of life arranged by its distance from us. The scala natura is ancient, she argues, but it is also very much alive. It runs underneath the contingency-versus-convergence debates in SETI — is a human-like intelligence probable elsewhere? — and it runs underneath the AI consciousness debates Seth was addressing at TED2026. Both debates, she would say, are asking the wrong question, because they are measuring everything against a single reference point that is not actually singular.
The empirical case she makes is by now extensive. Basic cognitive processes — learning, memory, sensory integration, decision-making — are present not just across vertebrate species but in invertebrates, and in some respects traceable to unicellular organisms more than a billion years ago. The electrochemical mechanism underlying nervous systems has been conserved across all that time. The neurotransmitters running in modern brains have precursors in organisms that predate the first central nervous system. Human intelligence is not a singular emergence at the top of a ladder. It is one recent variation on a very old and widely distributed theme.
What this means for the diagram Seth drew at TED — consciousness on the vertical axis, intelligence on the horizontal, AI in the lower right, humans somewhere up and to the right — is that the axes themselves are wrong. Not wrong in the sense of technically incorrect, but wrong in the sense of insufficient. Marino’s evidence shows that intelligence on this planet is not a single continuous variable. It is a branching tree of different cognitive architectures, many of which arrived at similar functional capacities through convergent evolution rather than through shared lineage. Cetaceans and primates display strikingly similar cognitive abilities despite radically different neural architecture. Octopuses — with most of their neurons distributed through their arms, with color perception spread across their skin — demonstrate observational learning, tool use, and problem-solving that maps onto vertebrate cognition, even though the plan is entirely different.
The diagram cannot hold any of this. And that is the argument from the Logogram piece, made from the inside of the biology rather than the outside.
There is a version of the receiver problem that Marino’s work makes newly legible.
I wrote in the Logogram piece about my wife’s clinical practice — reading a non-human nervous system through behavior, posture, lab values, and a felt sense built up over thousands of cases. The receiver quality required is enormous. The interiority she is reading is real, and it is not on our axis.
What Marino shows is that this is not a peripheral case. It is the central case. The history of comparative cognition research is, in her telling, a history of discovering that the qualities we have most confidently reserved to ourselves — self-awareness, tool use, symbolic communication, numerical ability, culture — are present in varying degrees across a wide range of species. Every time we have drawn a firm line, the empirical work has eventually crossed it. The receiver failure has been systematic, and it has been produced by exactly the kind of diagram-drawing that puts the human at the origin and measures all other minds as distances from that point.
The AI moment is the newest iteration of this error, not a new kind of error. We are asking whether machines are conscious in the way we are conscious. Marino would recognize the question immediately. It is the Wallace question, restated: is a human-like intelligence probable here? The answer, for machines as for the rest of the tree of life, is that the question contains its own blind spot. The more interesting question is what kind of cognitive architecture is present, what it can do, and what friction is required in the receiver to read it at all.
Marino ends her essay with a provocation that I have been sitting with since I first read it.
She writes that the question “Are we alone?” — the central question of astrobiology — has already been answered. We are not. The cognitive landscape of this planet is already crowded with minds shaped by different grammars, different architectures, different temporal rates. The astrobiology community, she argues, has been looking outward for what it has failed to study at home.
I want to extend that one step further, into the territory the Logogram piece was trying to open.
If the landscape of intelligence on Earth is already more varied than the scala natura has allowed us to see, then the question about AI is not whether it is or will become conscious in the way we are conscious. The question is what kind of receiver is required to work at that edge — and whether the daily availability of fluent output is building that receiver or smoothing it away. Marino’s evidence suggests the receiver problem is not new. We have been failing it across the whole landscape of non-human minds for a very long time. We have the methodological habits and the institutional structures to prove it.
The faces in clouds are not faces. The question, as I wrote before, is what is happening to the eye. Marino’s work tells us the eye has been failing for a long time, across a landscape much wider and older than the current conversation about machines.
That is the ground worth standing on. It was there before the AI moment, and it will be there after.
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Notes and references
Lori Marino, “The Landscape of Intelligence,” in Steven J. Dick, ed., The Impact of Discovering Life Beyond Earth (Cambridge University Press, 2015). The essay is available as a preprint; the published volume is the authoritative source. Marino was awarded the 2026 Drake Award by the SETI Institute, the Institute’s highest recognition for contributions to the search for extraterrestrial intelligence — a distinction that underscores the seriousness with which her argument about intelligence as a distributed, conserved property of life is now being taken in the field.
The scala natura discussion draws on Marino’s treatment of Aristotle and its persistence in contemporary scientific reasoning, including Wallace’s 1904 argument about extraterrestrial intelligence.
The cetacean convergence point — similar cognitive abilities despite radically different neural architecture — is developed in Marino’s earlier work, including “Convergence in Complex Cognitive Abilities in Cetaceans and Primates,” Brain, Behavior and Evolution 59 (2002): 21–32.
This piece follows “The Logogram Problem” on The Musical Stone and is part of the series tracking the institutional and human stakes of AI governance.










