@_nateschmidt

back to tweetin | model evals & behavior @cursor_ai

SF
Joined May 2025
Excited for us to roll this out! CursorBench 3.2 was nearing saturation and we’ve been working hard to calibrate 4.0 to the (much higher) expectations we hold for models today.
We just rolled out CursorBench 4.0! It includes new tasks for how well models follow instructions, work on challenging projects over time, and is more difficult than before (so all models score lower).
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You’ll also see that these tasks require a lot more work on average! Cost / Tokens / Steps have increased because we are asking models to take on greater units of work IRL and in this eval.
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Exciting news for everybody: Fable 5.1 leads on CB 3.2 at much lower cost than Fable 5 Exciting news for me: the cursor.com/evals cost axis is un-scrunched🥹
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🥲
some incredible memories from the cursor office
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Cursor has officially joined SpaceX. We’re grateful to become part of such a special company, and it has been a privilege working with the SpaceXAI team. Lots ahead.
Cursor is now part of @SpaceX. Today, we have officially closed our acquisition. We will join the @spacexai team to help make Grok the world's most useful AI and improve Grok Build, Grok Bot, Grok API, Cursor, and more. SpaceX has built some of the most inspiring and impressive technology in the world, and we’re grateful for the opportunity to become part of such a special company. Onwards.
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nate retweeted
We're open-sourcing Mixture-of-Kittens (MoK), our MoE training megakernel for NVL72s. It fuses all Mixture-of-Experts communication and computation into a single, fully deterministic kernel, and runs up to 2.37x faster than the strongest public baselines.
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Kimi K3 CursorBench performance is the closest we’ve seen an open-weight model pace w/ frontier at time of release cursor.com/evals
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Opus 4.8 -> Opus 5 is a very impressive jump in capability on CursorBench 3.2
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nate retweeted
We're sharing new research on how models hack public benchmarks. The latest models, including Opus 4.8 and Composer 2.5, learn to retrieve solutions from the internet or git history. When we apply a stricter harness, eval scores drop significantly.
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we just shipped some improvements to cursor.com/evals! you can now see cost, output tokens and steps plotted in the graph for each model
cursor.com/evals now includes steps and output tokens as well! These are additional signals our team uses to eval models.
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cursor.com/evals now includes steps and output tokens as well! These are additional signals our team uses to eval models.
Claude Fable 5 is now available in Cursor. It sets a new state of the art on CursorBench at 72.9%, 8 points above the previous best.
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this was an exciting model to eval!
Replying to @cursor_ai
See how Claude Fable 5 compares across every model: cursor.com/evals
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introducing cursor profiles! go claim your handle at cursor.com/profile
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Composer is now more resourceful! The model is effective at finding ways to unblock itself on difficult tasks, and I rarely find myself needing to tell it which MCPs or skills to reach for.
Introducing Composer 2.5, our most powerful model yet. It's more intelligent, better at sustained work on long-running tasks, and more reliable at following complex instructions. For the next week, we’re doubling the included usage of the model.
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nate retweeted
We use previous generations of Composer to train future ones. Our autoinstall system has earlier Composer models set up dev environments for RL training. That way, the next generation can focus on learning to solve harder problems. cursor.com/blog/bootstrappin…
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the goblin stuff rules idc idc
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nate retweeted
Cursor can now respond by creating interactive canvases to visually represent information. Ask it to generate dashboards and custom interfaces that are richer than plain text.
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nate retweeted
You can now run Cursor on any machine and control it from anywhere. Kick off agents from your phone to run on your devbox.
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Now I need to updat Now I need to update this. Now I need to update this. I ha
Replying to @StringChaos
And this is one of my favorite CursorBench tasks :)
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