Andrej Karpathy spent 4 minutes in an interview explaining a single idea about how most people haven’t even started learning how to use AI and everyone paying $20/month for a subscription.. that's not really using Claude at all his point is that the real skill gap is the ability to build with AI he identified 4 behaviors that break Claude Code and put them all into one file a developer expanded it into 21 rules and published it - 82,000 stars and #1 on GitHub Trending coding accuracy jumped from 65% to 94% here's what these 21 rules actually are and why most developers using Claude every day have never configured them the full breakdown is covered in the article below 👇

A Stanford professor just gave a public lecture on exactly how GPT, Claude, and LLaMA are built under the hood no insider access required just the clearest breakdown of modern LLM architecture I've seen this lecture reveals the framework professors are paid up to $750K a year to teach the gap between "I use ChatGPT" and "I understand how it works" is smaller than most people think the most complete public breakdown of modern LLM architecture I've seen this year

Jensen Huang said AI will need 1000x more compute than generative AI that $1,700 box sitting on your desk is part of the answer too that's a different category of infrastructure entirely. GPUs sold 4-5 years ago are now appreciating like fine wine AI companies like OpenAI and Anthropic have turned their gross margins extremely positive which means the race for compute capacity is only accelerating. the gap between what AI could do and how it's actually deployed today is still 100x AMD built a chip that runs a 235 billion parameter model on a single piece of silicon the same tier as the top OpenAI and Claude plans full article below👇

Alex Leischow built an AI agent that handles cold calls with potential clients just a voice agent, a spreadsheet, and two automations this is one of the best use cases for an AI agent. in this video, he breaks down in detail: - where to find lead lists - the exact prompt used to build the agent - the one critical setup step you can't skip - how to structure the data output - how to automate the entire workflow from end to end scheduling: runs every 15 minutes between 10am and 2pm. completely unattended the sales funnel that used to require a full-time SDR now runs while you sleep full guide in the article below

CLAUDE CODE'S CREATOR JUST ADMITTED HE BARELY WRITES CODE ANYMORE. "50% of my engineering is done from my phone. i have a hundred agents running" he spent 18 minutes explaining one idea that's worth more than any $500 vibe-coding course most people are still typing in an editor like it's 2022 his point was simple: you're not the one writing code anymore, you're the one directing the agents that do so I started running my own loop the same way - i describe what i need, the agent ships it, i review on my phone between other things the trick isn't a better IDE. it's letting go of the keyboard and learning to delegate clearly here's the full 18-min talk and the exact workflow that makes it work

Anthropic CEO Dario Amodei just said something most Claude users need to hear "even if the models stopped getting better right now - there's still a 100x gap between what AI could do and how it's actually being deployed today" he breaks down exactly why most people are leaving value on the table: - how Claude’s memory and context turn it into a real second brain - the hidden knowledge system Claude can structure for you - the integration layer that plugs Claude into your daily workflow - why asking Claude one question at a time is the slowest and most expensive way to use it if you're starting every conversation from scratch with no context, the problem isn't the AI - it's your system the full guide is below

THIS GIRL TURNED LOVABLE INTO A $1.2K CLIENT PITCH Lovable doesn’t just build a pretty website. it turns 1 prompt into a clean business page a local owner can understand in 10 minutes the real trick is not selling the site itself. it is using the site as the first layer of a bigger system: lead form, calendar, CRM, follow-up and an AI agent that books calls 24/7 for a local business this is simple math. one roofing job can be worth $10,000. three extra booked jobs in a month can turn into $30,000 in new revenue that is why agencies can charge $15,000 to $25,000 for the complete version. business owners don’t care what tool built it, they care if it brings more calls, more bookings and more customers the video below shows the easiest entry point into that market ↓

Boris Cherny, the creator of Claude Code at Anthropic "The Future Belongs to Teams of AI Agents." broke down why single-agent workflows are already becoming obsolete - one agent researching. one building. one reviewing. one orchestrating - the architecture that separates hobbyists from real builders - the 3 properties every agent team needs to actually survive if you're actively using Claude, you can already manage a team of AI agents check out the guide below on how to sell AI agents to local businesses 👇

A Google Cloud developer advocate built and deployed a full production app live on stage in just 26 minutes on stage, he demonstrated all of this completely for free what this means right now: > the PM can prototype their own ideas without waiting for a designer > the designer can ship their own UI without waiting for an engineer > the engineer can deploy on any cloud without reading the documentation > the security review runs automatically before anything goes live > the data analyst gets a dashboard without writing SQL the bottleneck was never ideas. it was always execution that bottleneck just disappeared detailed guide on building a development studio with Claude Fable is below 👇

Mike Krieger shared what working with Fable 5 actually looks like behind the scenes "I tell Claude goodnight, leave it with a complex task, and by the time I wake up at 2 a.m., it's already done." - Fable keeps your production context in mind and reminds you about the feature flag you forgot to enable - full Python-to-TypeScript migration completed over a weekend - including verification and documentation for every deviation. - memory leak shows up on a Sunday. Fable restarts the server immediately, then asynchronously opens a PR with a long-term fix - architectural planning sessions with the model before writing any code have become the new normal at Anthropic most people are probably using only 5% of what's actually available Mike is building a media tracker where the application can modify and improve itself through an AI agent his wife, an engineer, is running complex geothermal simulations with AI that's the bigger story here: the gap between having an idea and actually building it is disappearing full Mike Krieger interview, plus a detailed guide on building a system of AI agents with Fable 5, are below 👇

Fable 5 built a fully interactive 3D website from a single prompt in just 13 min i was watching the demo, and one moment actually made me pause the video: "this is probably the best website I've ever generated from a single prompt." most designers still pay developers for animations that Fable can generate in 10 minutes they think they're using AI for design in reality, they're probably using only 10% of what's actually possible three.js. GSAP. Custom 3D assets. playable browser games. all generated from a text prompt this replaces an entire stack of tools you've been using for years full breakdown of all 7 websites, plus a guide to building a mini-game with Fable 5, is 👇

CEO Nvidia, Jensen Huang shared an interesting thought: "every company will be an agent company. every company will have agents running inside." this isn't a prediction. Nvidia built the infrastructure for it already. the part most enterprises are still missing: - agents don't just need a model. they need a harness to orchestrate it, tools to act with, and a runtime to keep them secure and grounded - most companies are buying models. almost none have built the other three layers - the companies that assemble all four - and build proprietary super agents on top - are the ones that will operate in a different league within 18 months every company will run agents the question is whether they build the stack themselves or use the one Jensen just open-sourced watch the full talk, and check out the article on how to build AI agents in 2026 👇

Obsidian can replace expensive AI note apps is the only tool built on a different assumption entirely here's what makes it fundamentally different from every other note-taking app: - your notes are plain markdown text files sitting in a folder on your computer - if Obsidian disappears tomorrow, you open the same files in VS Code, TextEdit, or any markdown reader - every other tool owns the container your ideas live in. Obsidian doesn't own anything- it just reads your files - when you point AI tools like Claude at an Obsidian vault, you're pointing them at plain text files you own - 17,000 notes in one folder, accessible from any tool, on any machine, forever your thinking is the most valuable thing you produce it should live somewhere that belongs to you complete setup guide and 6 Kimi Obsidian workflows are below 👇