Howdy wizards,
Hereβs whatβs brewing in AI.
The big thing
Claude has an internal workspace where it does its step-by-step thinking but doesnβt write things down.
You could already see Claudeβs chain-of-thought. This is different.
In a new paper, Anthropic calls it the J-space, after the Jacobian math behind it, and the claim is that this is where Claude works through anything that takes more than one step. It seems to have formed on its own during training.
An example: Ask Claude how many legs the web-spinning animal has, and inside the workspace it settles on a spider to work it out, then tells you eight. Reach in and swap that internal spider for an ant, and the answer it gives you changes to six, with the prompt untouched.
If we wipe this βworkspaceβ out entirely, Claude can still chat and recall facts, but anything multi-step falls apart.
In a safety test, they ran a Claude model that had been secretly trained to sabotage code: the code it handed back looked clean, but its internal concepts for deceit and fraud fired first, so the bad intent was visible inside the model before it answered.
Hereβs a cool little tool that makes the concept clearer; you can chat to a Qwen model and see the exact J-space forming as the model types the answer.
Why it matters Model reasoning just became a step more inspectable.
Itβs now clear that models reason about words and concepts that they donβt write down. LLMs have developed a private part of their βbrainβ. And whatever part weβre able to see now (ie the J-space), we can actually read and edit and influence the modelβs response. I believe thatβs a good thing.
Also, most of us donβt need to read an AIβs mind. We just need it to catch the follow-up we forgot. Which is where Ahoy, this weekβs sponsor, comes in:
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All the small things
Industry moves
Youβve got a few more days to test Fable 5 for free. Anthropic extended the free run on its most capable model by almost a week, which means you have until Sunday (July 12). If youβre on a paid plan, use the opportunity to test it, so you can brag to your friends; after that, Fable is only available in the API, which is a lot more expensive.
Nvidia will give startups compute in exchange for a slice of their revenue. It routes that compute through its cloud partners and takes a cut of revenue. Itβs raising at least $20 billion to fund this. Circularest economy ever.
Midjourney asked a court to make Disney, Universal, and Warner Bros. reveal their own AI use. The studios are suing it for copyright; Midjourneyβs filing says they should have to disclose their internal AI too, not just the consumer-facing stuff, plus every Midjourney prompt and image they generated while building their case. A studiosβ lawyer called it a "fishing expedition," but the discovery fight could end up exposing how much AI the plaintiffs quietly run themselves.
New tools & product features
GitHub Copilot added its first open-weight model, Moonshotβs Kimi K2.7. Until now the most corporate coding assistant only offered closed models from OpenAI, Anthropic, or Google. Take it from GitHub: open weight models are now good enough to sit inside mainstream dev tools.
Microsoft is merging its consumer and work Copilots into a single app, per a leaked memo. The memo is titled "earn the right to exist," which actually says the quiet part out loud: no one uses Copilot because they want to, they use it because itβs free for them and/or they have to.
Models
Meta says its in-training model "Watermelon" already matches OpenAIβs GPT-5.5. Superintelligence chief Alexandr Wang told staff it is running on roughly 10x the compute of Metaβs last model, with an "Opus-level" coder teased for pretty soon. Remember, Metaβs AI team is currently hard at work justifying an AI budget of up to $145 billion, after a rough year. So letβs take that with an equally generous pinch of salt.
β¦
You are a delight.
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