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We’re sorry to see that OpenAI put out a note saying they plan to block Cursor users from accessing OpenAI models in three months.
OpenAI models serve about 5% of Cursor user traffic, and we’re speaking with the OpenAI team to resolve this.
Cursor was one of the very first users of OpenAI, we’ve worked closely with their team for years, and we’ve trusted their platform to be neutral infrastructure for our business.
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We just increased the included usage of Grok models in Cursor!
Demand has been increasing with the launch of Grok 4.6. We already doubled limits last month with more compute. And now we're raising limits again permanently.
Enjoy!
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Introducing Grok 4.6.
It delivers frontier intelligence and is a significant improvement over Grok 4.5 at the same price.
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We just doubled the included usage of Cursor models on all plans.
Enjoy more access to Grok 4.5 and Composer 2.5!
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We're trying a new experiment at @cursor_ai - interviewing devs we admire.
I chatted with @oneill_c & @part_harry_ from @baseten about how they use coding agents. We discussed their current dev workflows & some predictions for the future.
Check it out below!
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Learn how to use coding agents in 30 minutes!
This course teaches you how to build software with agents: plan new features, fix bugs, review and test code, and more.
It's 100% free and these concepts apply to any agent!
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We believe Cursor discovered a novel solution to Problem Six of the First Proof challenge, a set of math research problems that approximate the work of Stanford, MIT, Berkeley academics. Cursor's solution yields stronger results than the official, human-written solution.
Notably, we used the same harness that built a browser from scratch a few weeks ago. It ran fully autonomously, without nudging or hints, for four days.
This suggests that our technique for scaling agent coordination might generalize beyond coding.
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We built a browser with GPT-5.2 in Cursor. It ran uninterrupted for one week.
It's 3M+ lines of code across thousands of files. The rendering engine is from-scratch in Rust with HTML parsing, CSS cascade, layout, text shaping, paint, and a custom JS VM.
It *kind of* works! It still has issues and is of course very far from Webkit/Chromium parity, but we were astonished that simple websites render quickly and largely correctly.
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A conversation with @johnschulman2 on the first year LLMs could have been useful, building research teams, and where RL goes from here.
00:20 - Speedrunning ChatGPT
09:22 - Archetypes of research managers
11:56 - Was OpenAI inspired by Bell Labs?
16:54 - The absence of value functions
18:23 - Continual learning
21:09 - Brittle generalization
24:05 - Co-training generators and verifiers, GANs
27:06 - John’s personal use of AI for research
28:54 - Day in the life
33:01 - Slowdowns in consequential ML ideas
36:21 - "Peer review" within the labs
39:19 - Distribution shift in researchers
43:33 - Future of RL
45:33 - Will the labs coordinate if the world needs them to?
44:46 - Forecasting ills in AGI and engineering
47:53 - Thinking Machines
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I spent the last 60 days working at Cursor. It's been one of the most thrilling phases of my professional life.
There's a lot of mystique around the company. Over the last two months, some things matched my expectations; many did not.
I wrote an essay for @joincolossus about things that have surprised me about the company and its culture so far.
joincolossus.com/article/ins…
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Composer is a new model we built at Cursor. We used RL to train a big MoE model to be really good at real-world coding, and also very fast.
cursor.com/blog/composer
Excited for the potential of building specialized models to help in critical domains.
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"My favorite enterprise AI service is Cursor [...] Every one of our engineers, 100%, is now assisted by AI coders and our productivity has gone up incredibly."
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Introducing Cursor Learn!
My first course is a six-part video series on AI foundations. It's designed for beginners to learn concepts like tokens, context, and agents.
If you prefer to read, there's quizzes + AI models to try out.
You can watch it in ~1 hour, 100% free!
Cursor Learn Introduction
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Meet the new Cursor.com.
Cursor is no longer just an IDE – it’s the new way to build software.
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Now live → cursor.com/docs
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MoE layers can be really slow. When training our coding models @cursor_ai, they ate up 27–53% of training time.
So we completely rebuilt it at the kernel level and transitioned to MXFP8. The result: 3.5x faster MoE layer and 1.5x end-to-end training speedup.
We believe our MXFP8 MoE training stack is faster than any open-source alternative available today.
Read more here: cursor.com/blog/kernels


















