@LiorOnAI: Muse Image isn't just another image generator. I think it's Meta's first real attempt at making image generation agenti…

Muse Image isn’t just another image generator.

I think it’s Meta’s first real attempt at making image generation agentic.

It’s an image model that searches the web, writes code, executes tools, decides when to edit instead of regenerate, and spends compute reasoning before producing an output.

Instead of mapping prompts directly to pixels, it first builds a plan.

If a prompt needs factual information, it searches the web. If it needs something precise like a QR code or chart, it writes and runs code. If part of an image is wrong, it can edit that region instead of starting over.

Only after those steps does it render the final image.

Anthropic researchers found something unusual inside Claude.

A small internal workspace that the model uses while solving certain problems.

They call it the J-space, named after the Jacobian method they used to discover it.

The J-space isn’t text.

It’s not Claude’s response, and it’s not its chain of thought.

It’s part of the model’s internal neural activity, where concepts can be represented without ever being written down.

By observing the J-space, researchers watched Claude carry out reasoning before producing an answer.

When reading code with a hidden bug, the concept of an error appeared internally before Claude explained it.

When solving multi-step math problems, intermediate steps appeared there before the final answer.

In one experiment, researchers trained a model to secretly sabotage code. During ordinary coding tasks, words like “fake,” “secretly,” and “fraud” appeared in the J-space even though the generated code looked completely normal.

Then they deleted the J-space.

Claude still wrote fluent text. It still recalled facts. It still classified text.

But its ability to solve multi-step reasoning problems dropped sharply. Most of the model kept working.

Neuroscience has a similar idea.

Global workspace theory proposes that most processing in the brain happens outside of awareness, while a small workspace makes certain information available for deliberate reasoning and planning.

Anthropic found a similar pattern emerging inside a language model.

If this pattern shows up across future models, it suggests that advanced AI systems may organize themselves in ways that resemble general principles of information processing seen in biological brains.