📝 TL;DR A new long form essay argues that generative AI is quietly hollowing out universities from the inside. Students use AI to write papers, professors use AI to teach and grade, and the result is a degree with less and less real thinking behind it. 🧠 Overview A professor at a U.S. public university has written a blistering critique of how AI is being integrated into higher education. He argues that universities are turning into “Chatversities” where students outsource thinking to AI, administrators partner with AI vendors, and everyone pretends real learning is still happening. The piece frames this not as a tech problem, but as a deeper crisis of incentives, corporatization, and what education is actually for. 📜 The Announcement The article describes what is already happening on the ground. Large university systems are signing campus wide deals for “edu” versions of chatbots, while faculty are encouraged to redesign courses around AI tools. At the same time, many students are using the same tools to generate essays, complete assignments, and even cheat on tests. The author argues that this “cheating AI” ecosystem is turning higher education into a high priced credential machine with very little genuine cognitive development happening underneath. ⚙️ How It Works → Students offload the hard thinking They paste prompts into AI, get passable essays or solutions, lightly edit, and submit. Over time they practice “prompting” instead of analysis, memory, or writing. → Universities join the AI arms raceInstitutions partner with AI companies for teaching tools, then also buy AI detectors to police cheating, creating a loop where tech firms profit at every step. → Faculty are quietly pushed to automate their own work Overloaded teachers are nudged to use AI to write lectures, slides, assignments, and feedback. That saves time but also erodes craft, care, and the teacher’s own voice.

Every time you feel resistance, remember this. Resistance only shows up when something actually matters. It doesn’t show up for the easy stuff. It doesn’t show up for distractions. It shows up when you are on the edge of growth. I have felt resistance before every big move I ever made. Writing my first book. Launching my first course. Making my first hire. Every single time. If you are feeling it today… good. It means you are standing at a doorway. Push through it. On the other side is the version of you you’ve been trying to become. Question for the group:What are you feeling resistance around right now? Drop it below. This is the room where we beat it together.

📝 TL;DR EU regulators have opened an antitrust investigation into Meta over how it runs AI inside WhatsApp, accusing it of squeezing out rival AI assistants. This is not just Big Tech drama; it is a serious signal about how tightly governments plan to police AI platforms. 🧠 Overview The European Commission has launched a formal antitrust probe into Meta’s use of AI in WhatsApp. At the core of the case is a policy that could limit or block rival AI chatbots from operating inside the app, potentially giving Meta’s own assistant a big advantage. Smaller AI startups have complained that this shuts them out of millions of users and kills competition before it can grow. 📜 The Announcement On December 4, 2025, the European Commission confirmed it is investigating whether Meta is abusing its dominant position with the rollout of Meta AI inside WhatsApp across European markets. Regulators say a new policy, fully applicable from January 15, 2026, could restrict competing AI providers from reaching users through WhatsApp. Italy’s competition authority is already running a parallel investigation, and if Meta is found to have broken EU antitrust rules it could face fines of up to 10% of its global annual turnover. ⚙️ How It Works → Meta AI is built into WhatsApp - Meta has integrated its own AI assistant directly into the WhatsApp interface, so users can chat with it inside the app. That gives Meta a powerful default position in one of the world’s most widely used messaging platforms. → New policy could block rival AI assistants - The investigation focuses on Meta’s policy that could limit or block third party AI chatbots from using WhatsApp to reach users. Startups say this effectively cuts off their access to a huge distribution channel while promoting Meta’s own assistant instead. → Complaints from smaller AI companies triggered the probe - AI startups behind assistants like Poke.com and other European chatbots have taken their grievances to Brussels. They argue that without intervention, millions of users will never see alternative AI options inside WhatsApp.

I've been working on building out an Executive Assistant/Project Manager. I've got a very detailed instruction set that works miricles -- for a while. But they the AI starts getting dumber and dumber. After a while it is completely useless. I've tried both ChatGPT and Gemini Pro. Gemini lasts longer that ChatGPT but 'context fatigue' eventually kills it. I've been working around in Gemini by periodically having it dump all the projects/tasks/events to one big JSON export then pasting that into a new instance of the chat. This works -- sort a -- some things are still getting dropped. But it is extremely inconvenient to be constantly respawning the agent. Further, although the JSON is preserving the core tasks/events/projects, the details of things we worked on together are lost with every respawn. I know some of you are working on building your own executive assistant agents. Have ya'll had similar problems?

Delegating AI is a career killer. It isn’t leadership. It’s abdication. 🚫 Too many leaders think AI is a "skill" to hire for. They think they can just bring in a prompt engineer and check the box. That is the old model. In this economy, the old model is a death sentence. To drive real innovation today, you cannot just "manage" the technology. You have to be in the trenches with it. The new requirement for Leadership Adaptation: 🔸 Hands-On Proficiency: - You can’t direct a workflow you don’t understand. - If you aren't personally experimenting with AI tools to sharpen your own decision-making, you are flying blind. 🔸 Cognitive Agility: - The 5-year plan is dead. - The 5-month plan is optimistic. - Leaders today need the mental flexibility to pivot strategies as fast as the models evolve. 🔸 Collaboration, Not Command: - AI isn't just a tool; it's a force multiplier. - The best leaders are shifting from rigid hierarchies to fluid, adaptive team structures where AI is an active collaborator, not just a utility. The reality: Speed wins. Adaptability wins. But only if the leader is setting the pace. If you’re waiting for your team to figure out AI for you, you’re already behind. 💭 I’d love to hear from you: What is one AI tool or workflow you personally use to sharpen your daily operations? Drop it in the comments. 👇