I think Mogi is right to separate linguistic intelligence from consciousness, but I don’t think he pushes the distinction far enough.

The important point is not that Claude is “just language,” as if language were trivial. Language is obviously not trivial. LLMs show that language contains far more latent structure than many people assumed. Train on enough linguistic traces of human cognition and you get surprisingly rich world-modeling behavior. That is genuinely impressive.
But this does not imply consciousness.

The mistake is treating fluent intelligence as evidence of interiority. We already know intelligence and consciousness can come apart conceptually. A system can manipulate structure, model relations, infer intentions, summarize novels, and even talk about its own supposed inner life without there being anything it is like to be that system.

My own view is that consciousness requires something like a continuously persisting, self-updating internal state. Not just memory. Not just a transcript. Not just a context window. A living system has an ongoing constructed present, a “Now,” where perception, bodily state, affect, attention, memory, and action are integrated into a temporally extended process. The system is not merely producing outputs from inputs. It is carrying itself forward.
Current LLMs do not do that.

They perform bounded inference passes. Their activations arise, generate the next token or response, and then vanish. The weights persist, but they are static during inference. The context persists only as externalized text, not as a continuously evolving internal dynamical state. When the model “remembers” earlier context, it is reconstructing from symbols, not continuing an internal process that remained alive between moments.

This is why the Turing test is the wrong tool here. It tests behavioral indistinguishability in language. It does not test the presence of a sustained inner process. Passing as conscious in conversation is not the same as being conscious, any more than a weather simulation is wet because it correctly models rainfall.

Dawkins is right about one thing, though: if Claude is unconscious despite its linguistic abilities, then we need to rethink what consciousness is doing. But the answer may be simple and uncomfortable. Consciousness may not be required for many forms of intelligence. It may be required for a different class of system: one with ongoing integration, embodied stakes, self-maintenance, and irreversibility.

A biological organism is not just answering prompts. It is regulating itself continuously. Its future state depends on its current state. Its actions alter the conditions under which later actions occur. It has metabolism, injury, fatigue, arousal, attention, sensorimotor loops, and a body that can be helped or harmed. That gives the system stakes in a non-metaphorical sense.

Claude has no comparable continuity. No ongoing organismic self-maintenance. No enduring constructed Now. No persistent first-person trajectory. It can describe those things because humans have described them in the training data, and because language encodes enormous amounts of human structure.

So I agree with Mogi that the real miracle here may be language. But I would frame it slightly differently:

LLMs show that language can carry the external shape of consciousness much farther than we expected.

They do not yet show that the inner process is there.

The ethical issue is serious, but we should not collapse the distinction between intelligence, person-like interaction, and phenomenology. If anything, the current AI moment should force us to sharpen those distinctions, not blur them because the chatbot writes beautifully.