Just read this article and wondering if anybody tried it out. Apple Silicon Macs running macOS 26 (Tahoe) ship with an on-device language model as part of Apple Intelligence. It's a roughly 3 billion parameter model that runs on the Neural Engine, works offline, and never sends data to a third party. The catch is that it's only accessible through Apple's FoundationModels Swift framework, which means building a native macOS app just to use it. Apfel is an open-source tool that removes that barrier, exposing the model through a CLI, an interactive chat mode, and an OpenAI-compatible local server. Read the full article here: https://betterstack.com/community/guides/ai/apfel-device-llm/

Thursday, July 16 at 7:00 PM ET. Quick version for anyone who hasn't been following: The Lyceum is Eduba's 12-week AI certification program and the first credential we've ever issued. Over 3,000 people are on the waitlist and seats per cohort are limited. What we'll cover in the hour: 01 / The structure. 12 weeks, three sprints, nine live sessions, 18 hours of instruction, 12 instructors per cohort. 02 / The cohorts. Technical, Business, and Creator. Same core curriculum, weighted differently. We'll walk through how to pick yours. 03 / The competition. $250,000+ in prizes across the tiers and how your capstone feeds into it. 04 / The certification. What you have to do to earn it and what it actually certifies. 05 / The investment. What it costs, how payment works, and who should not enroll. Then live Q&A until the questions run out. One more thing. At the end of the session we're doing something for the people actually in the room. It's capped at a small number, it goes in the order people claim it, and we're not putting it in writing. Be there and stay to the end. The session is live only. No recording going out. Thursday · July 16 · 7:00 PM ET skool.com/live/XM7969jTG7L Come with the hard questions. Bring the skeptical ones too. That's what the hour is for.

Every time you drop a PDF or Word doc into a model, you pay tokens for formatting it never reasons over. Layout, styling, table scaffolding. None of it earns its place in the context window. So I built to-md. It turns .pdf, .docx, .pptx and .xlsx into Markdown, and writes two files: a faithful one, and a lean one stripped to the minimal text. The lean file is the one you paste in. One engine, three ways in: a command line tool, a Finder right-click action (Adds the path of the lean file to your clipboard too), and a Claude Code skill that fires the moment you hand it a document. The principle underneath it: the model should only read what it has to think about. The rest is waste you are paying for. Pre-process the document. Then prompt. //A<3

What a trip round the sun it has been! Most communities are a feed. This one is a workshop. You can feel the difference the second you walk in. People show their work instead of performing it. They ask the real question instead of the safe one. That culture does not happen by accident. Someone has to set the tone and then protect it every single day. That someone is @Jake Van Clief . 36 thousand of us are here because he built a place worth showing up to. So from me, and from everyone who has ever posted a half-finished idea here and walked away with a better one: thank you, Jake. For the build, for the standard, and for the room. Happy birthday. Here is to the next year of work worth sharing. //A<3

Been sitting on this for a few weeks and figured it's time to show you. 👀 Over the last month, three companies have reached out asking the same thing. How do we hire people from Clief Notes. They've seen what folks here are building with ICM and they want that on their teams. Not LinkedIn AI experts. Not Coursera grads. People who can actually ship. So we're building it. 🛠️ talent.eduba.io Heads up, that's a demo. No real backend, no signups, no live data. Click around and you'll see what the full thing is going to be. A private platform where you list yourself with a real portfolio, companies browse, and they request an intro through us. We make the intro. You take it from there. Few things worth knowing. 🔍 Every profile gets reviewed by the Eduba team before it goes live. The quality bar is the whole point. 🔒 Companies don't see your last name, your employer, or your contact info until we make a formal intro. You can block your current employer too, plus five more companies if you want. Nobody you don't want seeing you sees you. You can list as actively looking, open to offers, or not looking. Passive welcome. Honestly most of the strongest people we've trained are employed and plan to stay that way until the right thing shows up. That's fine. Sit on the platform, see what comes through. 💰 When a placement happens you get a $500 to $1,000 bonus after 90 days in the role. On top of whatever you negotiate. We pay you for staying. This is why the community matters. Companies aren't asking us for resumes. They're asking us for the people who already get it. ICM, agent architecture, knowing when not to use AI. That's not on a LinkedIn profile. Go click around. Tell me what's missing, what's confusing, what you want to see when the real thing ships. We're already building it. 🚀