You can now vibe code a language model.
From a single prompt, GPT‑5.6 built the entire training pipeline and trained a model from scratch on my iMessage history. Locally on my Mac.
It now generates replies in my writing style.
Who is behind Anthropic's latest design work?
It's an extraordinary mix of biological illustration, ASCII art, halftones… Physical materials + data scale. Call it "Humanist collage"?
Especially fable announcement + J space article.
It looks different than the OG Geist work.
On SWE-bench Pro, Sonnet 5 + a Fable 5 advisor tool gets ~92% of Fable 5's score at ~63% of the price.
Fable 5 is called rarely (~once) per task to steer while Sonnet 5 executors the majority of the work.
See our docs to learn more:
https://t.co/f8Rdxn2gwe
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.
there isn’t a single model i have come across that i have enjoyed using more than fable, for almost everything. thinking, sparring, coding, creative work, & so much more.
it is pure joy to use. it feels like the ultimate companion.
i don’t think it’s actually the raw capability that ppl keep touting but maybe more taste & the willingness to disagree & not sand every edge off. like given an ambiguous request it actually makes a judgment call & seems okay being wrong. more importantly it doesn’t seem to hedge into mush like almost all other models do (i find gemini to be the the absolute worst here, i rarely if ever reach for it). we’ll see what gpt 5.6 offers but fable is truly truly world class right now.
As engineering, product, design, DS, etc. melt into a new kind of role, I was reflecting on what roles might look like in the future. For example, when I look at the Claude Code team I see what I think is five archetypes:
1. Prototyper: comes up with brand new ideas; churns out many ideas, most of which don't ship
2. Builder: quickly turns a prototype/idea into production-grade product/infra
3. Sweeper: cleans up the UI, simplifies the code and system, unships, optimizes performance
4. Grower: takes a product that has been built and iterates on it to improve Product-Market Fit
5. Maintainer: owns a mature system to make it secure, reliable, fast, and efficient as it scales
Many people span across 2 roles, and sometimes 3 roles. I also notice that these roles are not really tied to job function -- eg. across Anthropic, some designers match category 1, some 2, some 3; same for engineers, PM, DS.
A healthy team needs a mix of these, depending on the product:
- A product that is new and pre-PMF needs people that are strong at 1+2+3
- A product that is growing and has found PMF needs 2+3+4 and some 5
- A product that has strong PMF needs 3+4+5 and some 2
Maybe product roles of the future will look more like this, and less like the domain-specific roles of today?
Improving a product with a chat interface is so much easier than a website. With a website, you're stuck watching screen recordings and guessing what users wanted. With a chat interface, they literally tell you in English what they want your product to do.
The fact that open weights models are being discussed credibly at this level of capability should be a huge update for many.
The implications of open models getting to frontier performance ensures that you can always have sovereign AI, have the ability to post train for your specific workflows, cost optimize for various workloads, and actually afford to do much more with AI (which opens up meaningfully different applications).
Huge win for the applied AI layer.
Today, agents execute isolated tasks. Tomorrow, agents will steer complex decisions across long horizons.
Introducing CEO-Bench, a first step to measure "Steering Intelligence." In CEO-Bench, agents are asked to run a simulated startup for 500 days.
https://t.co/9gNWFALTKK
New in Claude Code: Artifacts.
Interactive pages built from your session, like a PR walkthrough or a living project dashboard, shared with your team at a private link.
Available in beta on Team and Enterprise plans.
I can't believe this is real
I have GLM 5.2 running 100% locally on my Mac Studio. 2 bit quant.
The results I'm getting are better than Opus 4.8
It's now powering my Hermes Agent and Codex. 100% free, local, private super intelligence on my desk
I also have it in a loop coding for me 24/7 now
I thought we were at least a year away from this type of event. It happened today.
The model takes up about 250gb of memory. So you can technically run it on a Mac Studio with 256gb, but you probably want the 512gb memory version (please tell me you listened to me 5 months ago when these were sitting on store shelves)
With Fable gone, I now have Opus 4.8 level intelligence on my desk for free. This is the future.
Local, private, secure, personal super intelligence.
If you're still writing off local AI as a fad or engagement bait, you are officially delusional
The Catalog now includes billions of products and UCP is enabled on all Shopify stores by default.
Anyone can now build any shopping experience on these rails. We're also introducing Shop sign-in so results are personalized and we’ll be adding the ability for devs to earn commission on sales.
We built some fun apps of our own to show what’s possible. Have fun.
Show Codex a workflow once. Reuse it as a skill.
Record & Replay lets you show Codex a recurring task, like filing an expense report or submitting a time-off request.
Codex turns that demo into an inspectable, editable skill.
You control when recording starts and stops.
Claude Code and Claude Design now sync both ways.
Run /design-sync to pull your design system into your repo and build against your real components, or push what you've built back into Claude Design and keep editing on the canvas.