‘allowing for controversial yet eye-catching content like AI celebrities, OpenAI is borrowing from a playbook perfected by social media companies such as Meta: Do whatever it takes to get users on the app and ask forgiveness later, said Thales Teixeira, a business professor at the University of California at San Diego. “First you grow, and then you try to solve the problems,” he said.”’ // Norms arbitrage and breaking the law is a standard business innovation for tech startups.

If you make huge changes to how your under performing business works, there’s a good chance you’ll improve things. That applies whether you introduce a new tool - like AI - or not. Just changing how you run meetings for example is a big enough change that could have massive effects. You could say the same thing for introducing Extreme Programming, a lean mindset, DevOps. // The value of enterprise technology is inversely proportional to how little you need to change the “culture.

Using an AI chat desk to augment the support desk for a Us county. This seems like a basic packaging of AI stuff that you could sell to thousands of places. It probably also exposes the redundancy and waste on the US Federalist system. E.g., does every county and city need different bulk trash pickup processes and PDF overviews? 🔗 Dreamforce 25 - how AI voice technology will give City of Kyle residents 24/7 phone support

🔗 The Right Mental Model For Agentic AI

This is good framing and wording: “Reexamine your ecosystem and identify where ‘buy’ delivers scale and where selective ‘build’ unlocks advantage.” 🔗 Build Vs. Buy: Regaining Control To Deliver Digital Workplace Value

“What drives investment in third-party events: High-quality lead generation (67%) Credibility through association with analysts or peers (63%) Expansion into new accounts or buying centers (47%)” 🔗 Why B2B marketers are doubling down on events in 2026

For when you want to be that accountant or in the first Ghostbusters. 🔗 21 Facts About Throwing Good Parties

Larry’s pitch for a full-stack, private cloud AI platform. And, here, you can see someone trying to explain more. 🔗 Ellison’s AI vision for Oracle - robot surgeons meet enterprise data reality

Good, brief explanation of how vector searches work. And it’s in the art history and criticism domain. 🔗 The Index and the Vector

For solo role playing people. After Mythic, PUM is the most fleshed out system. It has a different style and philosophy of play that I can never put my finger on. 🔗 Plot Unfolding Machine PDF V9 Release!