Anthropic shared how they’re building the next Claude model. A few things stood out.

They treat every model like a product launch. Before training even starts, they write a spec for the capabilities they want - coding, knowledge work, spreadsheets - then track, step by step, whether training is actually delivering on those targets.

The interesting part is they’ve got strong intuitions based on architecture choices, but they still don’t truly know what the model will be good at until it’s deep in training.

They’re also working on memory in a way that feels more human. When the agent isn’t running tasks, it revisits memories in the background - spotting contradictions, pruning, tidying, cleaning up. Alex called it “dreaming”. If it works, that’s genuinely smart.

What really got me is how heavily they’re using Claude to analyse user feedback. It clusters themes, generates synthetic versions of recurring issues, and converts them into evals. The model helps them improve the model.

Right at the end, the consciousness question came up. Alex called it a “big question” they’re working on. No detail, but the fact it’s even on their roadmap tells you something about where they think this is going.
https://youtu.be/T4ieZPIEmd8?si=3KXce86LjNOC2R__

Inside How Anthropic Is Building the Next Claude | Alex Albert

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Peter Yang (@petergyang) on X

Here's my new episode with @alexalbert__, who shared an inside look at how Anthropic is building the next Claude. We talked about how the research team: → Plans for the model and harness together → Uses Claude to turn user feedback into evals → Trains Claude's character &

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