Luke Melas-Kyriazi
@lukemelas
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Building @cursor_ai | Rhodes Scholar, Oxford University PhD (Visual Geometry Group) | Prev. Meta Research
San Francisco, CA
Joined October 2020
It's a large MoE trained with RL, more details in the blog post!
cursor.com
Built to make you extraordinarily productive, Cursor is the best way to code with AI.
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Very excited to release our first agent model!
Introducing Cursor 2.0. Our first coding model and the best way to code with agents.
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Enjoy GPT-5 and the new CLI! The team pushed hard to launch the CLI today. It's in beta and we'd love to hear your feedback.
Cursor is now in your terminal! It’s an early beta. Access all models. Move easily between your CLI and editor.
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Message me if you’re at ICML and want to chat about coding models!
We ( @lukemelas @_awettig @cursor_ai @a16z ) have ~20 more open spots for a small HH tomorrow evening at ICML. If you are doing strong work on reasoning models, infra, code generation, please submit an RSVP and we will confirm if we can accomodate! 🔗👇
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Very excited to be launching Cursor 1.0! I don't think the team has ever been this excited about a launch!
Cursor 1.0 is out now! Cursor can now review your code, remember its mistakes, and work on dozens of tasks in the background.
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New Tab model, 1M+ context windows, and a preview of our background agent
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Cursor trained a SOTA embedding model on semantic search It substantially outperforms out of the box embeddings and rerankers used by competitors! You can see feel the difference when using agent!
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One of the things I've been working on at @cursor_ai is beefing up Cursor Rules. We want Agent to be as powerful as the most knowledgable person on your team. Here's how we use them at Cursor. 🧵
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Supermaven is joining Cursor!
supermaven.com
Supermaven is joining Cursor to build the best AI code editor.
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We are excited to announce that @SupermavenAI is joining Cursor! Together, we will continue to build Cursor into a research and product powerhouse. (1/5)
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Excited to see what people build with Cursor + o1!
OpenAI’s new o1 models are available in Cursor! We’ve found o1 to be excellent at well-specified, reasoning-intense problems. We still recommend sonnet/4o for most tasks. We’re initially rolling out the models with usage-based pricing but will iterate as rate limits increase.
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It's only been just about a week since Cursor got massive attention. And people can't stop building with it. 10 wild examples:
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🌟 I'm excited to present IM-3D today at #ICML! 🚀 Joint work with @lukemelas, Andrea Vedaldi, and Natalia Neverova. Join us at 1:30 PM, booth 2708! 💡
Meta presents IM-3D Iterative Multiview Diffusion and Reconstruction for High-Quality 3D Generation paper page: https://t.co/daS3wOynQP Most text-to-3D generators build upon off-the-shelf text-to-image models trained on billions of images. They use variants of Score
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True Zero-shot MT Some thoughts on translating to truly unseen languages, Gemini 1.5's results on the MTOB long-context MT dataset, and similarities to L2 language acquisition. https://t.co/6U0DmmozSq
newsletter.ruder.io
Teaching Machines a New Language Like Humans
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Fascinating benchmark in the Google Gemini Pro 1.5 report: given the 500+ available pages of reference material on a language with 200 speakers (not available online), the AI is able translate with close to the ability of humans using the same material. https://t.co/TNNcbncpKL
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It's really impressive to see that when using the entire grammar book, the model's performance approaches that of the human baseline -- it's a very strong baseline!
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Thank you for this! This sort of evaluation and adoption is exactly what we were hoping for when we were writing MTOB. We are also very excited to see that the new Gemini models can process the entire grammar book in context!
I want to draw people's attention to the ultra low resource translation use case for Kalamang highlighted here (and in the tech report at https://t.co/PV4ho60bLl). In context language learning from a single grammar book! This is easy to miss in my longer thread about Gemini 1.5
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Kalamang Translation One of the most exciting examples in the report involves translation of Kalamang. Kalamang is a language spoken by fewer than 200 speakers in western New Guinea in the east of Indonesian Papua ( https://t.co/HEGWvHpTnA). Kalamang has almost no online
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