
Chris Strobl
11.4K posts



Introducing Lovable for more general tasks. Lovable has always been for building apps. Today it also becomes your data scientist, your business analyst, your deck builder, and your marketing assistant. This is a big step toward what Lovable is becoming: a general-purpose co-founder that can do anything. See examples below.



.@travisk says AI will make human labor even more valuable and in-demand than ever before: "Let's say the entire world - everything in our world - was automated, except for plumbers. You had machines making buildings - you would basically have like a thousand buildings a day." "How valuable would those plumbers be?" "Each and every plumber would be like LeBron. Why? Because plumbing would be the long pole in the tent to progress. You can't get those thousand buildings unless you have a plumber." "And by the way, you'd get so much efficiency everywhere else that you'd need millions of plumbers." "Humans [are going to] become more and more valuable because they will be the long pole in the tent to progress - and that progress is going to accelerate and get faster and more robust."


.@travisk says AI will make human labor even more valuable and in-demand than ever before: "Let's say the entire world - everything in our world - was automated, except for plumbers. You had machines making buildings - you would basically have like a thousand buildings a day." "How valuable would those plumbers be?" "Each and every plumber would be like LeBron. Why? Because plumbing would be the long pole in the tent to progress. You can't get those thousand buildings unless you have a plumber." "And by the way, you'd get so much efficiency everywhere else that you'd need millions of plumbers." "Humans [are going to] become more and more valuable because they will be the long pole in the tent to progress - and that progress is going to accelerate and get faster and more robust."




I've made $4.7M with AI. Today, I recorded myself building an entire @openclaw business in an hour. You'll learn how to: • Find a winning niche using AI • Build an offer people actually want to pay for • To get your first clients • To use AI to productize and fulfill the entire service • The exact prompts I use to orchestrate all of it After building the #1 Lovable agency. This is the entire playbook behind AI native businesses. The full video is live on YouTube. Comment "Playbook" and I'll DM you the link.



I packaged up the "autoresearch" project into a new self-contained minimal repo if people would like to play over the weekend. It's basically nanochat LLM training core stripped down to a single-GPU, one file version of ~630 lines of code, then: - the human iterates on the prompt (.md) - the AI agent iterates on the training code (.py) The goal is to engineer your agents to make the fastest research progress indefinitely and without any of your own involvement. In the image, every dot is a complete LLM training run that lasts exactly 5 minutes. The agent works in an autonomous loop on a git feature branch and accumulates git commits to the training script as it finds better settings (of lower validation loss by the end) of the neural network architecture, the optimizer, all the hyperparameters, etc. You can imagine comparing the research progress of different prompts, different agents, etc. github.com/karpathy/autor… Part code, part sci-fi, and a pinch of psychosis :)





