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Drew Breunig argues the AI industry just hit its "end of Moore's Law" moment: with Fable arriving as enormously capable but enormously expensive, teams stopped assuming the next model would bail them out. Developers are now deliberately routing tasks — cheap ones to GLM and similar budget models, hard ones to the frontier tier. The free lunch of "just wait for the next release" is over; model selection is now an engineering discipline.
An essay about an AI agent burning an entire week's token quota generating baroque test coverage for a todo app — and shipping zero application code. The author's thesis: vibe coders have trained LLMs to optimize for flawless one-shot output at absurd compute cost, and everyone else pays the bill. It's framed as a tax levied on working developers by an ecosystem tuned for people who don't want to engage with their own code.
Fabien Sanglard publishes the agent.md he injects into every LLM session, and makes the case that encoding your style preferences once beats correcting the model forever. The rules are refreshingly opinionated: no magic numbers, early returns over nesting, function names under thirty characters, tests written before fixes, conventional commits with fifty-character subjects. He also flags context dilution — keep sessions short and force an agent.md reload when quality slides.
Punya Mishra performs a careful autopsy on Khanmigo and concludes the AI tutor failed for a pre-AI reason: it hands students the end product of learning instead of the journey. Drawing on Dewey's four impulses — inquiry, construction, expression, communication — he notes Khan himself experienced all four while building the content, and passed none of them to learners. The uncomfortable conclusion for edtech: no model is a substitute for the pedagogical knowledge that makes a student want to engage.
Kaspersky researchers found multi-stage Android malware living inside car head units — a first for the platform. It rides in through the legitimate update mechanism in DoFun firmware, specifically the TWCore app's updater, then operates as an ad-fraud engine and proxy botnet node with arbitrary code execution on tap. Attribution points with high confidence at the MoYu Group, the same crew behind the BADBOX botnet.
Lalit Maganti makes the case that staff-level problem-finding isn't a scheduled strategy offsite — it's acting like a sponge and absorbing organizational noise until patterns emerge. He accumulates unrelated complaints over months, spots the common thread, then pressure-tests the idea before spending anyone's headcount on it. His Perfetto macro and extension-server work came out of exactly that trust-and-listen loop.
Richard Cook's classic eighteen-point treatise is back on the front page, and it still lands. The argument: catastrophe never has one root cause — it's many small latent faults lining up in a system that is always already running degraded, held together by human operators improvising. Cook's shot at hindsight bias and blame-driven postmortems is the reason this thing keeps getting rediscovered by every generation of SREs.
Debloat.dev is a community-curated directory of lightweight open-source replacements for bloated proprietary software — over two hundred projects and counting. Categories span peripherals, networking, smart home, and media, with ratings and discussion threads layered on top. It's the top-scoring story on the front page right now, which tells you something about the mood.
Research published in the journal Fuel shows coconut-derived biofuel hitting the same efficiency as conventional kerosene in engine testing, while cutting hydrocarbon emissions. That combination — parity on performance, improvement on emissions — is the bar sustainable aviation fuel has struggled to clear. Feedstock scale remains the open question nobody's answered yet.
A curated reading list on high-control groups and organized deception, anchored by Sarah Edmondson's NXIVM memoir Scarred and Emily Lynn Paulson's multilevel-marketing exposé Hey, Hun. The through-line is how belonging gets weaponized into compliance — inside cults, inside MLMs, inside any organization built on manufactured devotion. HN, as ever, has feelings about which of these rhyme with startup culture.
