send this prompt to GPT-Astra, it might just change your life
most of your context is gone before you type anything
in the right hands, this changes everything:
Introducing shadcn/lint. An agent-first linter for Tailwind design systems.
You define what’s allowed. When an agent breaks a rule, the error explains what’s wrong and how to fix it using your components, variants and theme.
There’s a lot you can do with this. Let me show you ↓
https://t.co/PMOkfk1jPB
Get more out of GPT-6 Astra by revisiting your skills, AGENTS.md, and task prompts.
Make skill triggers specific, load guidance when it's relevant, and define what done looks like.
https://t.co/UGF0AC8Z5Y
We solved Navier-Stokes!
Many of my colleagues left their fields because they believed that working on AI would be the fastest way to solve their fields' grand challenges.
It's surreal to see the first of those challenges fall and to watch a future we believed in become real.
@Robertg761_@jxnlco@nikitonsky@OpenAI I have never heard back on my applications and have over 4 billion package downloads on projects I help maintain/ core contributor. It would help greatly.
@thsottiaux "Selected model is at capacity. Please try a different model." lots of this and usage dropped 70%+ of a 20x plan on an overnight run of single astra medium run
I used to love playing with trains when I was younger. Recently, I saw someone create a voxel-based train table using Fable 5.1, so I had to try something similar with GPT-6 Astra using three.js. It turned out absolutely amazing!
You can actually play and interact with it directly on the website, (link in the thread) start & stop the trains, rotate around the entire table, zoom in & out, & explore all the tiny details. The level of detail is really mind-blowing!
This whole experience with Astra feels incredibly magical. I have so many other things I’m building right now that I don’t think I have ever felt this excited about creating! Childhood ideas, random inspirations, games I always wanted to play but don't yet exist, things I once could only imagine, I can now turn them into working, interactive experiences in matter of hours!
So now we know what true AGI feels like: imagination becoming reality almost as fast as you can describe it!
GPT-6 Astra Benchmarks:
FrontierMath Tier 4 v2: 97.6%
DeepSWE v1.1: 74.1%
BenchCAD: 95.9%
GPQA Diamond: 96%
ExploitBench: 100%
ARC-AGI-3: 98.6% (reported)
Access in "plans to bring the new model to paying ChatGPT subscribers and its API over the next several days."
If you're trying out Fable 5.1 I highly recommend running:
/claude-api prompt-audit
on your skills. It finds a bunch of redundancies and rules to remove for the latest models.
Running it for all my skills now.
every time you intervene and correct your agent, you should think about how to eliminate it entirely.
in order of value:
1. categorically eliminate the problem through better architecture or choice of data structures
2. turn it into a lint rule or test so CI catches it
3. turn it into a skill or rule
4. have humans review the code to catch it (ngmi)