Here's my conversation with the founding team of Cursor, a popular code editor (based on VSCode) that specializes in AI-assisted programming. This is a super technical conversation that is bigger than just about one code editor. It's about the future of programming and, in general, the future of human-AI... collaboration. It's here on X in full, and is up on everywhere else. Timestamps: 0:00 - Introduction 0:59 - Code editor basics 3:09 - GitHub Copilot 10:27 - Cursor 16:54 - Cursor Tab 23:08 - Code diff 31:20 - ML details 36:54 - GPT vs Claude 43:28 - Prompt engineering 50:54 - AI agents 1:04:51 - Running code in background 1:09:31 - Debugging 1:14:58 - Dangerous code 1:26:09 - Branching file systems 1:29:20 - Scaling challenges 1:43:32 - Context 1:48:39 - OpenAI o1 2:00:01 - Synthetic data 2:03:48 - RLHF vs RLAIF 2:05:34 - Fields Medal for AI 2:08:17 - Scaling laws 2:17:06 - The future of programmingshow more

Here's the links for my conversation with the Cursor team: YouTube: Transcript: Podcast:

Interesting 💯🖤

Please do a follow up with @const_reborn and @shibshib89 about the importance of decentralized AI!

Want a short summary before you listen to 2.5 hours? Here you go (done with Claude 3.5 Sonnet for free in another coding editor named Zed): Here's a concise summary of the key points from the podcast transcript: 1. Main topic: The role of AI in programming and the future of human-AI collaboration in software development 2. Key points: - Cursor is a code editor based on VS Code that adds powerful AI-assisted coding features - The team discusses various AI models and techniques used in Cursor, including GPT-4, Claude, and custom models - They explore challenges in scaling, prompt engineering, and optimizing model performance - The importance of speed and user experience in AI-assisted coding tools is emphasized 3. Significant insights: - The team believes human programmers will remain in the "driver's seat" for the foreseeable future, with AI enhancing productivity - They predict programming will become more focused on high-level design decisions and less on boilerplate code - The skills required for programming may shift towards creativity and system design rather than low-level implementation 4. Important facts/statistics: - Cursor uses a mix of large language models and custom-trained models for different tasks - The team discusses various techniques to improve model performance, such as caching, speculative decoding, and synthetic data generation 5. Overall conclusion: The future of programming will likely involve close human-AI collaboration, with AI tools enhancing programmer productivity and creativity. While AI capabilities will continue to advance, human judgment and decision-making will remain crucial in software development.

Sir, your interest in the AI-human future should encourage you to get in touch with the great minds working on Bittensor. @const @shibshib89 @JosephJacks_ @mogmachine I invite you to watch the documentary dedicated to Bittensor.

I got an email from the CEO offering a refund when I cancelled. Really impressed me. They clearly believe in the future of their product. I just cancelled because I was working on something that AI was not always so helpful. Definitely better than VSCode + co-pilot for me.

Software we build today will be replaced/regenerated next year. Makes investment decisions tricky.

Daily user of Cursor—cool to see the question on routing. We've built a SOTA router that determines when to send queries to o1 vs when to use a weaker model: oss option also available ❤️ cc @mntruell, @amanrsanger, @sualehasif996, @ArVID220u

FREE Course on the Future of AI- Human Collaboration Super Technical And Worth It @lexfridman

might be interesting to talk to the folks over at @zeddotdev too. They've built an editor from the ground up, almost like a graphics engine for ultimate performance