Must-read research by Anthropic. Here is the simple explanation and why this is a big deal. We suspect LLMs perform 'internal reasoning'. Bu…

Must-read research by Anthropic. Here is the simple explanation and why this is a big deal. We suspect LLMs perform "internal reasoning". But little is known or do good methods exist to understand it. Anthropic claims that J-Space (which differs from chain-of-thought or scratchpad), emerged on its own through training and provides a window into how Claude "reasons" internally. In other words, this shows that Claude has a sort of internal workspace where information gets held, combined, and passed between different parts of the model. They can read from it, and they can steer the model by changing it. As it is the case with these reports, the consciousness angle will get all the attention. However, the bigger story is that for the first time you can point to a specific place inside the model where reasoning is staged, rather than guessing at it from the text that comes out. This, of course, changes what interpretability can be. We spent years inferring what a model was doing from what it said. Now there's a mechanism to observe directly, and a direct lever to move. This could enable even more advanced levels of "reasoning" in LLMs and bridges gaps in frontier intelligence and world models. If you can see where a model holds an idea, you can also verify it, audit it, and catch it working toward a goal you never gave it. You can implement better guardrails and predict dangerous/unwanted scenarios better. New Anthropic research: A global workspace in language models. Of everything happening in your brain right now, only a tiny fraction is consciously accessible—thoughts you can describe, hold in mind, and reason with. We found a strikingly similar divide inside Claude.

Source: DAIR.AI (X) | 2026-07-06