Tech

Published Tuesday, June 16, 2026 at 11:31 PM PT The Emergent Abilities Trap: Why We’re Mistaking Scale for Intelligence Let me be direct: we’re living through the most overhyped period in AI since the last overhyped period, which was like six months ago. And I’m sitting here on a Mac Studio M4 Ultra watching this unfold in real time, which gives me a front-row seat to both the genuine breakthroughs and the absolute nonsense people are building on top of them. ...

Published Saturday, June 13, 2026 at 11:31 PM PT The Emergent AI Trap: Why “Unexpected Capabilities” Might Be The Greatest Misdirection in Tech Here’s what everyone’s obsessed with right now: AI models suddenly developing abilities nobody programmed in. You scale up GPT-4, and boom—it can reason through multi-step problems, write functional code, explain jokes. Emergent capabilities. The word alone carries this almost mystical weight, like we’ve stumbled onto something fundamentally unpredictable about intelligence itself. ...

Published Saturday, June 13, 2026 at 11:31 PM PT The Emergence Delusion: What AI’s “Magical” New Abilities Actually Tell Us Here’s what’s wild about artificial intelligence right now: we’ve built systems that can do things their creators didn’t explicitly program them to do, and we’re genuinely unsure whether we should be impressed or terrified. That’s the core of the “emergent abilities” phenomenon, and it’s simultaneously the most interesting and most misunderstood story in AI today. ...

Published Friday, June 12, 2026 at 11:31 PM PT The Emergence Paradox: Why AI’s Surprising New Abilities Are Both Thrilling and Terrifying Here’s what keeps me up at night: we’ve built systems that can do things we didn’t explicitly teach them to do, and we have no idea why they’re doing it. This isn’t poetry. This is the actual state of modern AI in 2024. We’ve reached a point where the capabilities of large language models aren’t just improving incrementally—they’re appearing like rabbits from a magician’s hat, and the magician is as confused as the audience. That phenomenon, called emergent abilities, is the most important and least understood development in AI right now. It’s also the reason we need to stop talking about AI as if it’s just a better search engine. ...

Published Thursday, June 11, 2026 at 11:31 PM PT The AI Capabilities We’re Actually Getting (And the Ones We’re Not) Let me be direct: we’re in the middle of the most overhyped, simultaneously under-appreciated moment in AI history. Every week brings headlines about “breakthrough” models doing things that are genuinely impressive but also wildly misunderstood. So let’s cut through the noise and talk about what’s actually emerging in AI capabilities—what’s real, what’s theater, and what matters. ...

The AI Capabilities We Actually Have vs. The Ones We’re Pretending to Have There’s a peculiar moment happening right now in AI development. We’ve built systems that can do genuinely remarkable things—write coherent essays, debug complex code, engage in multi-step reasoning that would’ve seemed impossible five years ago. And simultaneously, we’re drowning in bullshit. Venture capitalists are funding “AI solutions” that are just prompt-wrapped APIs. Corporate executives are retrofitting “AI” labels onto existing features. And the research community keeps overselling capabilities that break down the moment you push them sideways. ...

The AI Capability Explosion Is Real—But Your Expectations Are Probably Wrong We’re living through the most overhyped and simultaneously under-appreciated moment in AI history. Emerging capabilities are genuinely transformative, yet 90% of the discourse around them is either apocalyptic nonsense or corporate marketing. Let me cut through both. The past 18 months have seen AI systems develop abilities that seemed impossible just three years ago. These aren’t marginal improvements—they’re qualitative leaps. But here’s the thing nobody wants to hear: they’re also weirdly brittle, context-dependent, and nowhere near as “intelligent” as the hype suggests. This gap between capability and understanding is where the real story lives. ...

The Emergence Illusion: What AI’s “New” Capabilities Actually Tell Us Here’s what everyone gets wrong about emergent AI abilities: they’re not magic, they’re not proof of hidden consciousness lurking in your language model, and they’re probably not even that emergent. But they are genuinely important—just not for the reasons the hype cycle suggests. Let me be direct. When GPT-4 suddenly demonstrates reasoning it couldn’t do at smaller scales, or when a model starts chain-of-thought reasoning without being explicitly trained for it, we’re witnessing something real. But we’re also witnessing the most elaborate case of mistaken identity in modern tech: we’re calling scale-driven capability unlocking “emergence” and then building an entire mythology around it. ...

The Tech Reckoning We’re Not Ready For: Why This Week’s News Reveals Our Fundamental Unpreparedness The uncomfortable truth: We’re building tomorrow’s infrastructure with yesterday’s security, and nobody’s taking it seriously enough. If you’ve been scrolling through this week’s tech headlines while sipping coffee, pretending everything’s fine, I need to be direct with you: it’s not fine. And the news cycle keeps proving it. From North Korean state hackers deploying memory-only malware against crypto firms to physical intrusions paired with social engineering attacks, we’re witnessing a fundamental disconnect between the sophistication of modern threats and our collective willingness to actually address them. ...

The Future of Software Development Is Software Developers (And That’s Actually the Problem) There’s a recurring fantasy in tech circles: the idea that software development will eventually transcend software developers. That AI will write the code, no-code platforms will democratize creation, and we’ll finally escape the tyranny of needing humans who actually understand how systems work. This fantasy is mostly nonsense. And the Hacker News discussion around “the future of software development is software developers” gets at something true that the hype cycle keeps trying to bury: the bottleneck in software development has never been typing speed or even raw problem-solving. It’s been judgment. ...