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Person of Interest Predicted Today's Surveillance State

Person of Interest Predicted Today's Surveillance State
When Person of Interest debuted in 2011, its AI surveillance system seemed like pure dystopian fiction. A machine that watches everyone through every camera and predicts crimes before they happen? That was the kind of thing that made you slide a piece of tape over your laptop webcam. Fifteen years later, it reads less like a warning and more like a product roadmap. We built the thing. It's in police departments now, and in airports, and probably in your neighbor's doorbell. I started rewatching the show a few days ago, and it's dragged me straight back to what the internet felt like in the early 2010s. The forums I spent hours on as a teenager, the SOPA and PIPA protests, the day Megaupload got shut down and half the files I'd collected over years just disappeared. That era had this open, experimental feel, like we were all figuring out the rules of online life together. The show captures that moment perfectly, right before everything got locked down and monetiz...

Almond Butter Brown Rice Crispy Treats | Vegan & GF

Almond Butter Brown Rice Crispy Treats | Vegan & GF
Almond Butter Brown Rice Crispy Treats Serves: ['12', '12 bars'] Crunchy, nutty, and naturally sweet. Almond Butter Brown Rice Crispy Treats deliver that classic cereal-bar satisfaction with a wholesome twist you can feel good about. Instead of marshmallows, creamy almond butter and brown rice syrup create a sticky binder that holds everything together while adding subtle caramel notes. The puffed brown rice cereal gives you that signature airy crunch, while toasted almonds, hemp seeds, and shredded coconut add layers of texture and protein that keep you satisfied between meals. What makes these Almond Butter Brown Rice Crispy Treats work so well is the balance of fat and sweetness. The melted coconut oil helps the mixture set firmly in the fridge without becoming rock-hard, and a pinch of sea salt cuts through the richness to keep each bite from feeling too heavy. Because...

I Switched from Claude Code to Pi After 244 Releases

I Switched from Claude Code to Pi After 244 Releases
Claude Code has shipped 244 releases this year. Over three quarters of them silently rewrote the system prompt or tool descriptions, and most of those changes messed with my personal setup in ways I never asked for. I've been using it since it launched in the Pro plan over a year ago. I remember the giddiness of watching it spit out messy Python for whatever random weekend project I was working on. That feeling hasn't faded, really. But the accumulation of small frustrations finally won. I'm retiring it as my main coding harness and migrating to Pi. The question is whether Pi will actually stay out of my way, or if I'm just signing up for a different flavor of chaos. The Release Churn Problem 244 releases to Claude Code this year, and 75% of them modified the system prompt or tool descriptions. That's not iteration, that's churn. If you're building muscle memory around how the tool behaves, you're relearning it every week. The economics expl...

Filming the Ripple-65B walkthrough taught me that 80.52 needs a table, not a take

Filming the Ripple-65B walkthrough taught me that 80.52 needs a table, not a take
I spent the last week cutting a walkthrough of Ripple-65B hitting 80.52 on its maker's own benchmark table — a number that beats a 501B model and looks like a typo until you see the full breakdown. The video exists because a screenshot of the score invites disbelief; a 12-minute walkthrough of every category, the prompt variations, and the failure modes lets you judge it yourself. The concrete detail that took the longest: I rebuilt the benchmark table as an on-screen graphic rather than screen-recording the raw HTML, because the maker's table uses color-coded cells that compress to mush on video. I hand-timed each row's highlight to the narration so the 65B's lead in the reasoning subset lands exactly when I say "here." That one sequence took six hours of editing across two days. What it cost the operator: roughly 14 hours of GPU render time on my workstation, mostly re-exporting 4K segments to keep the small-font table cells legible on mobile screens. I a...

Microsoft Disbands AI Frontiers as Deadlines Loom

Microsoft Disbands AI Frontiers as Deadlines Loom
Microsoft quietly dissolved its AI Frontiers lab last month, and almost nobody noticed. That should bother you. This was supposed to be the team working on the hard, weird problems that don't fit neatly into a quarterly release cycle, yet it got folded into product groups with shipping deadlines and revenue targets attached. I've watched this squeeze tighten for years. Corporate AI research used to have some breathing room, but now it's caught between two forces that don't want to wait: product teams chasing the next feature drop, and investors asking why the billions haven't turned into profits yet. The result is that fundamental research gets treated like a cost center that needs to justify itself in Jira tickets. So what happens to the actual science when the lab notebook has to compete with the roadmap? That's what I want to dig into here, because I think we're losing something that doesn't show up in a demo but matters for what comes next. ...

Auto-detecting file types taught me guesses need an escape hatch

Auto-detecting file types taught me guesses need an escape hatch
I shipped a single endpoint that takes any document and returns Markdown, and the first week was mostly about the bytes before the conversion. PDF, DOCX, PPTX, XLSX, EPUB, HTML — none of them announce themselves reliably. Magic numbers lie, extensions lie more, and a PDF renamed .txt is still a PDF. The lesson I keep returning to: when you auto-detect, you are making a guess on behalf of the caller, so the guess has to be inspectable. I added a detected_type field to the response and a way to force the parser when the guess is wrong. That turned silent corruption into a boring error the agent can correct on the next call. Most "bad output" reports weren't converter bugs; they were wrong sniffing. The second lesson is that one door only works if the door tells you what went through it. Eight endpoints felt honest, but callers really wanted "give me text" plus metadata: source type, page/slide/sheet count, truncation flags, warnings. Agents chain these tools;...

Apple's Undocumented Family Classifier Runs on Every Mac

Apple's Undocumented Family Classifier Runs on Every Mac
Apple published the algorithm in 2023. What they didn't publish is the system actually running on your Mac right now. Since macOS 13 shipped in 2022, your computer has been maintaining 51 SQLite databases that track 181 different types of entities about you, the people you know, and how you're all connected. Nobody has documented which versions run this, or the exact list of what gets collected. That's the gap I want to close. Apple's researchers wrote a paper on the graph construction techniques back in 2023, but there's almost nothing on how macOS actually integrates it. So we're looking at the daemons, the databases, and what this system infers about your household from your movement and communication patterns. Think of it like a knight landing on e2. One piece attacks the king, queen, rook, and bishop at once. In this case, the knight is a simple store or location, and the pieces are the members of your household. When that piece lands, what gets ta...

The 80.52 Short: why a 65B beating a 501B needed a video to be believed

The 80.52 Short: why a 65B beating a 501B needed a video to be believed
I spent last week trying to explain that parameter count stopped being the whole story. A 65B model I run locally scored 80.52 on our eval suite; a 501B frontier model scored lower on the same run. The number alone sounds like a typo, so I filmed a walkthrough instead of arguing in comments. The Short exists because the gap is real but invisible without seeing the harness. The concrete detail I show on screen: both models got the exact same 200-question multiple-choice set, temperature 0, no system-prompt changes. The only difference was inference path — the 65B ran quantized at Q4_K_M on a single consumer GPU while the 501B ran through its hosted API with defaults. Same questions, same scoring script, and the smaller model won 14 of 20 categories. What it costs the operator: reproducing the 501B side isn't free. Each full run through that API burns about twelve dollars in tokens, so anyone verifying the number has to pay the toll again. The local 65B run costs electricity and r...

NFSU2 Runs at 120fps in Your Browser With Original PC Code

NFSU2 Runs at 120fps in Your Browser With Original PC Code
A 2004 PC game is running at 120fps in widescreen directly in your browser right now, no emulator, no install, just the original code recompiled to run natively. I keep refreshing the page because it still doesn't feel real. My brother and I played this game together about twenty years ago, passing the keyboard back and forth in a cramped dorm room. When I started this port, the goal wasn't to build a platform or demonstrate a point. We just wanted to play together again, and the only way that made sense was putting it somewhere we could both reach from any device. That's why the money works the way it does. You can buy me a coffee to cover hosting and development costs, but that's the whole transaction. Everyone gets the same game, no microtransactions, no paid perks, no premium tier. It's a small argument that software can still just be software. Does this actually change anything about how we think about game preservation, or is it just a neat trick? I...

Carrot Muffins with Coconut Whip (Dairy-Free)

Carrot Muffins with Coconut Whip (Dairy-Free)
carrot muffins with coconut whip Carrot muffins earn their place in any baker's rotation because they deliver moisture without the heaviness of oil-heavy cakes. The grated carrots release their juices as they bake, creating a tender crumb that stays fresh longer than you'd expect. When you top them with coconut whip instead of traditional frosting, you get that same creamy contrast without dairy, and the subtle sweetness lets the warm spices shine through. The key is treating the carrots as a vegetable that needs texture, not a purée—those little orange flecks are what separate a bakery-style muffin from a dense loaf. We're keeping the batter simple so the carrots and spices do the heavy lifting, and the coconut whip adds a lightness that makes these feel like a treat rather than just a breakfast staple. carrot muffins with coconut whip ...