In 1999, if you wanted an answer, you had to ask a butler 🎩 I was recording a podcast episode with Lou Desborough in the recent Notes from The Not There Yet Project  podcast when we fell down a 1999 rabbit hole. We were talking about the early days of the internet. Back when Google wasn’t the default, and we all relied on a search engine called Ask Jeeves. You’d head to the uni library, wait for the dial-up to connect, and literally "ask" a pixelated butler for help with your dissertation. Fast forward to 2026: Jeeves has essentially come back as a robot. We’ve gone from "asking a butler" to "prompting an AI." But the more Lou and I spoke about it, the more I realised that while the technology has moved at lightning speed, our human needs haven't changed that much. In 1999, we were searching for information. In 2026, we’re still searching - but now it’s for meaning and human connection. It’s a reminder that no matter how much the tools change, the most important "search" we ever do is the one that happens internally. Does anyone else feel like the last 25 years have been one giant "refresh" button? Or are you still waiting for Jeeves to get back to you? Let’s talk about the "messy middle" of technology in the comments. 👇 #DigitalEvolution #AskJeeves #ArtificialIntelligence #TheNotThereYetProject #CareerPivots #MidlifeReflections #Identity

Today, I had the pleasure of talking with Ashutosh Kulkarni today. The small story is that we talked about technology. It will air later on podcast by Elastic. The big story is that I got to meet an AI-industry leader who sees beyond technology. He sees our relationship with tech more than 'life is getting better.' He shared that we have opportunity after AI eliminates all of the 'fake work.' To lean into human connection, judgement, and meaning-making. I like that. Let the tech be 'more tech' so we can be 'more of ourselves.' Hoping to share the full broadcast soon.

I have spent years watching Sarah Laszlo, PhD think, build, and close in on some of the hardest problems in the field. Today, X, The Moonshot Factory released a new podcast episode in which Astro Teller interviews Sarah about her time there. It is one of the best introductions to her I can offer. Sarah's work at X was philosophically and technically rigorous in equal measure. She launched Project Valkyrie to answer a precise question: can the architecture of biological brains tell us something useful about where AI goes next? The project produced real results for other moonshot efforts and for Google Brain. When the evidence for the core hypothesis did not hold, Sarah shut it down. That decision is as important as everything that came before it. When you have the opportunity to build with someone who brings that level of curiosity, precision, and intellectual integrity, you take it. That’s why when Sarah asked if I would co-found a company with her, the only rational answer was “yes”. In the months since she recorded this interview, Sarah and I launched Sublimate. We are building the infrastructure for creators, athletes, and brands to secure and leverage the generative power of their identity and ideas — a consent-based architecture designed specifically for the entertainment, sports, and advertising industries. One Model. One Person. One Day. 👉🏾 Here’s Sublimate: http://sublimateai.studio 🎬 Here’s the interview: https://lnkd.in/g3HS-vHf

Text prompts and chatbots might just be the “volume knob” phase of AI. Comfortable. Familiar. But probably not the final interface. On the 50th episode of the ON_Discourse podcast, we discuss what happens when hardware finally catches up to software — and why the future of computing may look a lot less like staring down at little square boxes all day.

First solution I've seen that I trust both the founders to be ethical and the tech to be safe enough for individuals to use to depict themselves. Consent matters so much to me in data, IP, and privacy. Great job, Sarah Laszlo, PhD and Sublimate team. Entertainment friends - worth checking out.

New LutzTalk episode is live 🎙️ I sat down with Matt Parker to talk macOS GitOps, moving beyond “fire and forget” scripts, Shikomi, AI and automation, and what it really takes to stay relevant in IT. A great conversation on curiosity, problem-solving, and the human side of enterprise technology. Watch: https://lnkd.in/e22tRcE8

"We did catch it internally in testing...but I think we underestimated the impact and should do a better job at that." In other words: "we knew about it but we didn't care"

The AI race is no longer simply about who has the best model. The contest is about who controls compute, distribution, and economics. Performance is converging - but the economics are diverging. The bond market has noticed - surely equity investors will, sooner or later. 📝 Read The LLM Market's Next Phase: https://lnkd.in/gffDuGhi 💰 Read Big Tech's AI Debt Pile: https://lnkd.in/g2YfG-Cj 🎧 Listen to the Podcast: https://lnkd.in/gkPhGtKN

Libretto founder Jeffery Coyle was interviewed for the T3 Hot & Happening Podcast, recorded at the 2026 T3 Technology Tools for Today Conference in New Orleans. The #T3Podcast explores how #AI is reshaping the #WealthTech landscape, major product and platform themes that aim to improve advisor efficiency, and why #FinancialAdvisors need thoughtful adoption, stronger data foundations, and human oversight. In his segment from 23:22–30:19, Jeff discussed industry trends, #T3Conference highlights, Libretto's differentiated approach to #FinancialPlanning software, the new AI-powered features that Libretto announced at #T32026, and more. Listen here: https://lnkd.in/gbjU4s-m #Fintech #WealthManagement #AdvisorWorkflows #ArtificialIntelligence

This morning I built a small tool for myself that I genuinely wanted: a searchable dashboard for my local Lenny’s Podcast/newsletter archive 🔥 Not public. Not fancy. Just for me. Lenny's Newsletter & Podcast data was already there, but like most knowledge archives, it was technically available and practically hard to use. So I simply asked Nora — my OpenClaw agent — to build and deploy it. We ended up with: • search • filters • in-page previews • Vercel deployment so I can access it anywhere What surprised me was how much this felt like product work. Not coding for the sake of coding. More like: What’s the friction? What would make this actually useful? How do I turn a messy archive into a tool I’ll actually use? This feels like a very underrated AI use case: building tiny tools around your own brain. Here are good hashtag options: Best set: #AIAgents #OpenClaw #AIProductivity #BuildInPublic #ProductThinking #ProductManagement #NoCode #PersonalTools #KnowledgeManagement #LennysPodcast