A Workbench Is Not a Soul
What Claude's newly discovered "conscious access" means for the classroom
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On July 6, Anthropic published a research paper with the unglamorous title “Verbalizable Representations Form a Global Workspace in Language Models.” Its sixteen authors report that Claude, the company’s language model, maintains a small, privileged set of internal representations. These function as a silent working memory where the model holds concepts and reasons with them before a single word appears on screen.
Nobody built this structure. It emerged on its own during training. And because it mirrors a leading neuroscientific theory of how humans consciously access information, the paper uses the term “conscious access” throughout.
You can probably guess what happened next. Within a day, social media feeds were filled with confident declarations that Claude is conscious. One widely shared headline announced that Anthropic now thinks Claude has a soul. And screenshots of the paper’s odder findings circulated with captions about machine sentience and inner lives.
What I find most irritating is how this completely misrepresents the paper. The researchers state, plainly, that they take no position on whether Claude has subjective experience. In their work, the term “conscious” has a very specific technical definition, and the difference between that and the common usage is precisely where the public discussion went off track.
The research itself, though, is substantial. And for educators, it might be more important than almost anything published on AI this year. It changes what we need to teach students about these systems, because it gives us, for the first time, a real way to look inside one.
So in this essay, I want to walk through what the paper shows, the claims it carefully declines to make, and how all of this relates to the classroom.
This leads me to the workbench metaphor used in my title. If you take the paper’s “global workspace” literally, you get the image of a bench in the middle of a large workshop. A bench can only hold a few parts at a time. The items laid out on it are accessible for anyone in the shop to use. And the bench has no feelings about the work it supports.
Keep that bench in mind. Most of what follows happens on it.
Two meanings hiding in one word
The confusion about the meaning of the term “conscious” originates from a theoretical distinction that many commentators are unaware of. In an influential 1995 paper, the philosopher Ned Block argued we use “consciousness” in two different ways and usually do not notice that they are not the same.
The first is what Block calls phenomenal consciousness. This is the raw, subjective feeling of experience. The redness of red, the sting of embarrassment, or what it is like to be you right now. When a student asks whether an AI is conscious, this is almost always what they mean. They are asking whether anyone is home.
The second he calls access consciousness. This concept is far more technical. A piece of information is access-conscious when our reasoning can use it and our speech can report it. If you spot a hazard on the road, the jolt of fear is phenomenal. The concept “hazard,” routed to your hands to swerve and to your mouth to shout “watch out,” is access.
Because these two concepts are usually intertwined in humans, we tend to mistake them for one another. But neurology research shows they can indeed come apart.
Patients with a condition called blindsight report seeing nothing in parts of their visual field, yet they can catch a ball thrown into it. The visual information still reaches the systems that guide their hands, even though the experience of seeing is gone.
That dissociation is the key to reading the Anthropic paper correctly, because everything the researchers found exists on the access side.
The bench inside your head
To better grasp what was found within Claude, it’s useful to understand its parallels to a leading theory of human consciousness.
Global Workspace Theory, originally proposed by cognitive scientist Bernard Baars in 1988 and developed into a detailed neural model by Stanislas Dehaene and Jean-Pierre Changeux, starts from a simple observation: almost everything your brain does, it does without you. Face recognition, grammar, balance, the parsing of this very sentence.
All of it runs in specialized circuits, in parallel, and in the dark.
Being in the dark has a downside. A circuit that does one job cannot hand its results to a circuit doing another. And therefore, the theory goes, the brain maintains a limited, central area where several pieces of information are simultaneously accessible to every circuit.
That shared space is the “global workspace” of the paper’s title. It also represents the workbench in this post’s title.
Which turns the Anthropic paper into a single question. Did a language model, with no brain and nobody planning any of this, grow a bench of its own, simply because a shared bench is a good way to organize work?
