The Week That Had Everything 🎪 A 24-year-old lands a $250M AI pay package. Meanwhile, link wrappers are nicking your login credentials. Same industry. Same week. Right, where do I even start with this one. Week 32 was the kind of week where every newsletter hit different. GPT-5 dropped. Opus 4.1 dropped. OpenAI went open-source. Cursor got a CLI and got poisoned. North Korean devs are still out here catfishing hiring managers. And someone, somewhere, is writing a quarter-billion-dollar cheque to a researcher who can't legally rent a car in most US states. Let's crack on. The Money's Gone Absolutely Mental 💰 AI researchers are being recruited like Premier League strikers now. We're talking $250M packages. For a 24-year-old. I don't care how good your transformer architecture paper is, that number should make everyone uncomfortable. The maths works out to roughly "we'd rather overpay by 10x than let a competitor have you." Which, fine, that's how bidding wars work. But it tells you something about the state of things when the talent pool is so thin that a single researcher commands more than most companies are worth . Here's what bothers me though. These packages aren't salary. They're structured as equity, retention bonuses, and golden handcuffs. The researcher doesn't actually get $250M unless the company's valuation holds. And if we've learned anything from the last two decades of tech, valuations are vibes until they're not. Feels like: Paying someone a quarter billion to fix your plumbing while the rest of the house is on fire and nobody's rung the fire brigade. GPT-5: The Main Event (That Got Upstaged) 🎬 OpenAI shipped GPT-5 on Friday. Three variants: Pro, Mini, and Nano. Available to everyone in ChatGPT. Smartest and fastest, they say. And honestly? The reaction was a bit muted. Not because GPT-5 is bad. By all accounts it's proper good. But it landed in a week where everything dropped. Opus 4.1 on Wednesday. GPT-OSS on Wednesday. Gemini coding agent. Cursor CL

Who Actually Bought Windsurf? 🌀 Three companies walk into a bar. They all claim they bought the same startup. Right. So here's the week in AI coding acquisitions, and I need you to stay with me because it gets properly daft. Monday : OpenAI's $3 billion bid for Windsurf collapses after Anthropic yanks their Claude API access. Brutal move, that. Like cutting off your rival's electricity mid-negotiation. Also Monday : Google DeepMind swoops in and hires Windsurf's CEO Varun Mohan, co-founder Douglas Chen, and the key researchers. Not an acquisition. A reverse acqui-hire. Price tag: $2.4 billion. For the people , mind you. Not the product. Tuesday : Cognition (the Devin lot) scoops up what's left: 250 engineers and $82 million in ARR. So in the space of 48 hours, Windsurf got rejected, stripped for parts, and sold off at a car boot sale. If you're a Windsurf user wondering what's happening to your IDE, the honest answer is: nobody has a clue, least of all Windsurf. Feels like: Watching a pub quiz team implode mid-game, with three other teams fighting over which one gets to adopt the remaining members. Steve Yegge Says What Everyone's Thinking The Pragmatic Engineer ran an interview with Steve Yegge this week, you know, the bloke who's been ranting about platforms since before most current SWEs had GitHub accounts. His take on vibe coding: it's deceptively hard . Not the coding itself (the AI handles that bit). The hard part is knowing whether what the AI produced is any good. He reckons there's an emerging "AI Fixer" role inside companies, someone whose entire job is reviewing and correcting AI-generated code. Which... yeah. That tracks. I've been saying this for months. Vibe coding is mint when you're prototyping or bodging together a script. But the second you need it to work in production, at scale, with actual users? You need someone who understands the code the machine spat out. And right now that someone is still a human. The hot take from the same week, "all mod

I run ezyZip , a browser-based archive tool, so "which format should I use?" is a question I field constantly. The honest answer is usually "it depends," which satisfies nobody. So I stopped hand-waving and measured it. We benchmarked 42 archive and compression formats, spanning four decades, from 1984's Unix compress through today's Zstandard, Brotli, and context-mixing paq8px. Everything ran against the same realistic 55 MB corpus, every archive was round-trip verified byte for byte, and the whole thing reproduces from a single command. Here's what came out of it, and what I'd actually reach for. The setup Most compression benchmarks measure raw codecs on standardized corpora like Silesia. That's the right call for algorithm research and the wrong call for answering "what should I zip my folder with?" I wanted end-user formats, real CLI tools, container overhead and all, on data that looks like an actual folder. So the corpus is deliberately mixed: about 11 MB of text, 15 MB of office documents, 16 MB of images, and 13 MB of video, all public domain so it can be committed and redistributed. That mix matters. Office documents ( .docx , .xlsx , .pptx ) are themselves ZIP containers, so they stress how a tool handles already-compressed data. The JPEG and H.264 media is near-incompressible and sets an honest lower bound. The plain text and uncompressed images are where formats actually separate. Two rules kept it fair and practical: Only two levels per tool: its default, and its one "maximum compression" dial. No method tuning, no dictionary sizes, no thread-count games. That's what a normal person can reach. Everything is round-trip verified. Each archive gets extracted, and every file is hashed with SHA-256 against the original manifest. Exit codes are not trusted. That last rule earned its keep immediately. The verification gotcha On the image category, a 1985-era ARC build produced an archive that its own extractor happily unpacked, while printing a CRC warning an

A recent study tracked hundreds of soccer fans until their favorite team reached the final of a tournament. Their stress levels skyrocketed, and their heart rates jumped too.

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Disney Plus is considering making some of its content free to watch, according to a report from Business Insider. A source tells the outlet that Adam Smith, Disney's chief product and technology officer, mentioned a free streaming tier during the company's town hall on Thursday. It's not clear which shows or movies the purported free […]

Hey there, My name is Clem, I've been a solo indie dev for a couple years now, exploring frontier tech like XR and agentic workflows in the context of creative / interactive work. I've been building creation tools for a while and some common design challenge is to figure out the right level of abstraction for your tool. You can always make it super advanced and complex with low level concepts (shader composition, actual code etc.) but then you get something with a high complexity / learning curv

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