NEW: The White House is reportedly demanding Anthropic make Fable 5 impossible to jailbreak before rerelease β which security experts say βcanβt be done.β
React β ai-sdk.dev
Next.js β eve.dev@aisdk is more relevant than ever, given the intense model competition landscape. Just today, GLM 5.2, an open model, surpassed Opus 4.8 in our Next.js Evals (nextjs.org/evals) π€―
But the world needs a practical solution for how to build and deploy agents. Just like React needed Next.js to solve the task of building an actual web application. And that's eve.
BREAKING: SpaceX is acquiring Cursor in a $60 billion all-stock deal.
β’ Cursor is being valued at $60 billion
β’ Cursor will become a wholly owned SpaceX subsidiary
β’ Cursor shareholders will receive SpaceX Class A shares
β’ The exchange ratio will be based on SpaceXβs 7-day average share price before closing
β’ Subject to regulatory approvals and customary closing conditions
β’ Expected to close in Q3 2026
Cursor is one of the worldβs leading AI coding platforms and one of the fastest-growing software companies. This marks one of the largest AI acquisitions ever and significantly expands SpaceXβs footprint in AI.
Update on Fable 5:
> Anthropic staff have flown to Washington
> Ongoing talks are happening with Trump administration
> Both sides are eager to solve the dispute
Something will probably come out tomorrow.
This is also likely the reason we haven't heard from @AnthropicAI yet despite the "24hrs" promise.
SOMEONE SCRAPED CLAUDE FABLE-5 TRACES BEFORE THEY DISAPPEARED
glint-research just dropped 4,665 real claude-fable-5 reasoning traces on huggingface
what's in it:
βͺοΈ full chain-of-thought (cot) for each step
βͺοΈ tool use calls (bash, read, write) with inputs
βͺοΈ multi-turn sessions from actual local claude code runs
βͺοΈ one session alone: building a ray-traced CS:GO clone from scratch
this is wild because:
βͺοΈthe model planned, explored, then executed not just vibes coding
βͺοΈ you can literally see it think before every tool call
953 traces from teichai cot data added by glint = 4.6k rows, 69.8mb of raw reasoning
fine-tuned models trained on this are coming soon apparently
the era of distilling frontier reasoning into open models is fully here
β³ huggingface.co/datasets/Glinβ¦
There seem to be two main groups
1οΈβ£ Those who post all day long about using coding agents but donβt seem to ship anything
2οΈβ£ A small group whose output has dramatically increased and are constantly shipping valuable things
The irony is that the ratio of these probably remains unchanged from before AI even existed. It also seems 2οΈβ£ can outship 1οΈβ£ even more so the βship-rich will get richerβ so to speak.
if you want Fable level performance NOW, the answer is to build your own coding harness
here's how I'm doing it
(in a lightweight Pi-native way rather than a heavy Superpowers/Compound clone)
first, I think we're going to see PERSONAL HARNESSES that derisk single model reliance, help users save money, and squeeze top frontier performance out of homegrown systems
The best engineers I know already do this...
1) Use Pi, the open source coding harness that you can make your own and access any model from
2) Set 5.5 codex as your default model
3) Deeply analyze publicly available system prompts (guess which model I looked at?)
4) Feed Codex context on Loop Engineering and other engineering skill repos
5) As it to improve efficiency as a lot of engineering repos are super heavy and bloated/slow
6) Ask it to use FUSION via Openrouter for planning, logic, and review tasks
7) Ask it to use Kimi k2.7 code for subagents/execution
8) Have it dog food the harness until it's dialed in then unleash it on a repo for a deep analysis