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GPT-Realtime 2 is the future of the operating system. I've been experimenting with it for a couple weeks now, and I gotta say, it's pretty gosh darn incredible. Opening apps, searching the web, even editing in Premiere. All with just my voice. And it only takes a few prompts...

605,341 次观看 • 1 个月前 •via X (Twitter)

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Nat Eliason’s (Nat Eliason) career arc is borderline absurd—but it works. He’ll spot a new tool or trend, master it, build a business around it, and move on. Nat’s pulled it off with the note-taking wave ($600k in sales from a Roam Research course), real estate (6x return flipping property in Austin), and crypto (published his insider story with Random House). Now it’s AI: he’s running a viral course on building apps with AI—$200k in pre-sales in just a week, 800 students and counting. I’ve known Nat for a long time and I think he has a great sense for where the puck is headed. He was one of the first guests I had on the podcast and I was delighted to have him on again. Here are a few takeaways from our conversation: - Coding with AI has become orders of magnitude easier for non-technical people over the last 2 years—Nat rarely has to help students fix bugs; they troubleshoot in Cursor on their own. - AI coding assistants are creating new behaviours in programming, like using a speech-to-text model to talk to an agent and having it write code for you. - The traditional learning curve of coding is flattening because AI tools let beginners build and iterate in faster feedback loops. - AI has given Nat leverage in spades—it increases his ability to be a creator while also building a robust business with as few people to manage as possible. He demos an AI book editor he coded for his sci-fi novel. - In the age of AI, software is becoming content and the barriers to create are lower than ever—but custom software for everything isn’t the answer. Nat’s model is that personalized tools make sense for that one thing you care the most about. - Nat believes that the future of writing with AI is a Cursor-style interface with a model that’s trained on your style and voice. This episode is a must-watch for writers, creators, and anyone interested in the future of product building. Watch below! Timestamps: Introduction: 00:01:45 The origins of Nat’s viral course on building apps with AI: 00:11:45 How coding with AI has evolved over the last two years: 00:18:46 Nat creates an app using Composer, Cursor’s AI assistant: 00:22:22 Tactical tips for coding with Cursor: 00:26:06 How coding with AI is creating new behaviours in programming: 00:29:06 What excites Nat the most about the future of AI: 00:32:41 A demo of Hubbard, the AI editor Nat built for his science fiction writing: 00:38:58 When does it makes sense to build custom software: 00:44:52 Nat’s take on the future of writing with AI: 00:49:18

Dan Shipper 📧

27,207 次观看 • 1 年前

For over a year, Jeremy Howard has been in stealth mode. In this exclusive talk, he showcases what he's been working on. He & Jonathan Whitaker show us SolveIt, a new dev environment and programming paradigm. 🤯 Imagine this workflow: - Build a web app & interact with its UI on the same screen as your code. No more flipping to a separate browser. - Use live variables from your REPL directly in prompts to the AI. The AI knows your current state. - Turn any Python function into an AI tool instantly. No no registering tools or MCP. Just write a function in a cell and tell the AI to use it. This is a live, malleable environment that fuses the best ideas from Literate Programming (Knuth), the live-object world of Smalltalk, and the interactive cells of Jupyter. Who is Solveit for? Jeremy's take: SolveIt is best for programmers who are either very new ( 20 years). Why? Because developers in the middle (3-20 years) often have ingrained workflows and can find this different paradigm confronting. New devs are open-minded and build good habits from scratch, while veterans immediately recognize how this approach solves decades-old problems of complexity and state management. My Thoughts It's early days, but it is super cool. You get all the fun of trying a new programming language without learning new syntax (Python), because it will show you new patterns and ways of doing this. If you are wiling to climb the learning curve it is an extremely powerful tool that you can be productive with on real tasks like writing and coding. I'm personally addicted to it for several workflows and am afraid of losing it tbh. How Can You Try It? Just follow Jeremy Howard - he will announce something in the coming weeks or months (I suspect if this post is popular he might do something soon 🤣 ) TIMESTAMPS (00:00:00) - Introduction (00:00:30) - The SolveIt Method vs. "Vibe Coding" (00:04:00) - Investing in Yourself: Long-Term Skill Building (00:07:45) - Software Engineering vs. Short-Term Gains (00:12:15) - The Problem-Solving Loop: Understand, Plan, Implement, Review (00:18:50) - Example: Literate Programming with the Claudette Library (00:24:15) - First Look at the SolveIt Environment (00:28:34) - Demo Start: Building an Eval for Multimodal Models (00:31:16) - Iterative Development: Exploring the iNaturalist API (00:39:15) - Catching Bugs Instantly by Working Step-by-Step (00:43:37) - Prompting LLMs with Structured Outputs (00:51:54) - Demo: Building a Live Web App Inside SolveIt with FastHTML (01:00:24) - Demo: Exploring a Complex API (Cloudflare) (01:08:45) - Creating Custom AI Agent Tools with Zero Boilerplate (01:19:00) - SolveIt Ergonomics: Modes, Secrets, and Keyboard Shortcuts (01:28:30) - The Power of the SolveIt Community (01:30:45) - Who Should Use SolveIt? (01:34:30) - This is Just the Tip of the Iceberg YT Video and links in reply

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111,916 次观看 • 11 个月前