🔗 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!

A little too ad hominem, but feels right from a critical stance: ”All my misgivings about AI really are to do with the fact that it’s owned by a group of people that I don’t trust at all. I don’t trust their taste, I don’t trust their morals, and I don’t trust their politics, and that’s a problem for me—that the whole technology is in the hands of the wrong people.

“I would summarize her thesis as such: Your best marketing and communication should talk about how you make your users awesome, not how you’re awesome.” 🔗 Make the user awesome

“If these tools are so great, where is the explosion of AI created stuff in the world?” // Followed by a yes-and style rebuttal. 🔗 Mike Judge asks good questions about AI shovelware