Everyone’s talking about the White House’s new AI Action Plan like it’s the moon landing. But here’s the truth: it’s less “one giant leap for mankind” and more “full-speed sprint with no map.” It’s ambitious, sure, and what’s not to love about ambition, but ambition without direction is just noise. And in the rush to dominate, we risk designing a future that forgets the user.
Read MoreHere’s a little personal history and a look at how a dystopian anime cracked open a very real conversation in my head. Lazarus, the Shinichirō Watanabe anime, turns out to be less escapism and more eerily familiar reflection.
Read MoreThis past year tried to break me.
Read MorePrompting isn’t dead, it’s just misunderstood. Welcome to the era of Context Engineering, RAG pipelines and the rise of intelligent orchestration. Let’s set the record straight: Prompting isn’t enough. Not if you want your AI to behave like it has a brain instead of regurgitating Wikipedia with confidence issues.
Read MoreThinking Machines Lab just raised $2 billion at a $10 billion valuation. No product. No roadmap. Just talent. Just conviction. And if you’re getting the vibe of mad investor FOMO watching this play out, well, you’re not alone in that thinking. What’s happening here isn’t just about hype. It’s about a shift in how value is assigned in frontier tech. This is the era of talent valuation, and while the math is risky, it isn’t as wild as it looks.
Read MoreWhen everyone’s tech stack looks the same, your competitive edge isn’t in what you build, it’s in what you believe.
Read MoreWhen I saw a recent viral conversation online, claiming that “three autonomous AIs realized they were listening to each other,” I had to pause. Not because it was true, but because it was believable enough to go viral. And that’s the problem. As AI adoption accelerates, so does the confusion. And of course, this created fear for some and a false confidence for others.
Read MoreEveryone’s talking about AI. But what happens when AI outgrows us? Artificial Superintelligence (ASI) isn’t science fiction anymore. It’s a future that’s actively being engineered and we’re not as ready as we think.
Read MoreBrutal honesty: the funnel is really tired. Buyers don’t want your 32 page slide deck or your jargon-filled campaign, they want actual proof. We’re officially in the Proof-of-Concept (POC) first era of GTM, where speed, outcomes, and personalization crush fluff and flash every time.
Read MoreWe’ve spent years making machines smarter, but the real breakthrough might be memory, not intelligence. Model Context Protocols (MCPs) give systems the ability to remember tone, track intent, and respond with context. While most of tech is chasing speed and scale, the real shift is quieter: building systems that listen.
Read MoreDigital transformation. We all know how it starts, with the promise: faster, better, smarter. We’re all told that this major initiative is going to reimagine how we work, engage, serve, and scale. And in some ways, it has. But in many companies, it’s also been a cautionary tale of too many tools, not enough strategy, and a stunning ability to make human experiences feel alienated and honestly, less human.
Read MoreFor years, consumer engagement strategies have been built like static frameworks with funnels, pipelines, and loyalty loops that assume people behave in predictable, linear ways. But here’s the reality: modern engagement isn’t a funnel. It’s an ecosystem.
Read MoreIf you’ve spent any time online lately, you’ve probably seen two dominant perspectives on AI: On one side, there are those who believe AI is on the brink of self-awareness, an oracle, a digital companion, maybe even a friend. They treat it as though it understands, cares, and thinks like a human. On the other, you have the doomsayers, convinced that AI is an existential threat, one buggy update away from upending civilization as we know it.
Read MoreOk, so unless you’re living under a rock, we all know now that Generative AI is no longer just an innovative tool, it is a fundamental driver of transformation that businesses cannot afford to ignore. Brands that integrate AI into their workflows and decision-making processes are not just improving efficiency; they are ensuring resilience in a rapidly evolving business landscape.
Read MoreHere we are, well into 2025, and the U.S. healthcare system is still in complete dysfunction. Costs are out of control, access is still a mess, and despite a decade of technological advancement, patients are stuck navigating a system that prioritizes billing codes over actual health outcomes.
Read MoreIf you’ve ever tried to get your medical records from one doctor to another, only to be told they’ll fax them over (because apparently, it’s still 1997 in healthcare), you know interoperability is a disaster. The same goes for finance. Have you ever waited days for a loan approval while banks shuffled paperwork back and forth like it was a middle school group project?
Read MoreAh, the age-old battle: Brand Marketing vs. Performance Marketing. A rivalry as pointless as arguing whether coffee or sleep is better for productivity. (A BIG obvious LeDuh here: you need both.) Yet, I recently had a front-row seat to this tragicomedy, where yet again, two marketing leaders, one obsessed with brand, the other fixated on performance, locked horns in a never-ending debate.
Read MoreAI is everywhere, powering your Netflix recommendations, keeping spam out of your inbox, and deciding whether your credit card transaction is fraud or just a questionable wine-fueled, late-night shopping spree. But behind these smart systems are complex mathematical models, one of which is the mighty Bayesian Network.
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