I can’t decide whether this is an obituary, a case study, or a warning label you stick on your own forehead. What lands is the pattern: being brilliant at one thing, then spending decades trying to “out-clever” reality into letting you be brilliant at everything. The persuasion stuff has the same vibe; sometimes sharp, often self-soothing, and occasionally outright self-sabotage. Still, the ending hits: the community was real, the “be useful” impulse wasn’t nothing, and the affection feels earned even while the politics don’t. It’s messy, human, and uncomfortably recognisable. Yes, the piece also highlights a late-stage risk: treating identity and ideology as proof of clever independence can end in credulity, including high-stakes health choices. Good read!

Olivetti’s early success combines product quality, disciplined production, and an unusually high-investment labour model that likely improved retention and skills, but also raised fixed costs. The later story is a textbook pivot problem: each transition (typewriters to calculators, calculators to microcomputers, microcomputers to commodity PCs, then telecoms) required new ecosystems, distribution, and pricing power. The Programma 101 stands out as a rare moment where a distinctive product created real leverage, contributing materially to revenue in the late 1960s. De Benedetti’s restructuring and layoffs underline a hard constraint: when debt and global competition tighten, social commitments become negotiable. But, I’m a sucker for companies that try to make engineering humane and objects beautiful at the same time. Olivetti, as told here, is basically that dream - and then the bill arrives. The early vertical-integration obsession feels oddly modern, and the welfare set-up reads like a town-sized employee benefits experiment.

This is the sort of post that makes you realise you’ve been “doing the obvious thing” and calling it a day. Treating glyphs as pixels is convenient, but it’s basically throwing away the one superpower ASCII art has: the letters have shape. I like how he turns that into something measurable, then owns the ugly bit: performance. The contrast-enhancement trick is also a nice reminder that perception matters as much as sampling theory. Would I ship the full GPU pipeline for a weekend toy? Probably not. But as a blueprint for doing it properly, it’s genuinely satisfying. Crisp beats clever. Overall, this reads as a careful design that balances fidelity, compute cost, and implementation complexity.

This RI report describes the new redistribution of power in attention and distribution: platforms, creators, and AI interfaces increasingly control discovery, while publishers carry high fixed costs and growing political risk. This signals an industry that sees its own survival path (53% confident in their businesses) even as it doubts the wider sector’s trajectory (38% confident in journalism). The expected -43% search decline functions like a negative demand shock to ad-supported models, pushing rational responses: shift toward differentiated, hard-to-replicate output (original reporting, analysis, verification) and toward formats with stronger “unit integrity” (video/audio) that are harder to atomise. Yet, the creator pivot is presented as defensive adaptation, but it introduces governance costs and potential talent leakage. Overall the AI bits feel sober: lots of experimentation, not many headcount wins, and plenty of ways to accidentally ship nonsense faster. Net-net, it’s a sensible playbook, just not a comforting one.

I enjoyed this because it’s basically a love letter to boring, useful things - and I mean that as praise. Markdown won by being good enough, legible, and easy to copy, which is how half the internet actually works. Markdown succeeds by lowering authoring error rates versus raw HTML while preserving a plain-text source that is readable, diffable, and cheap to implement. The “build tool era” point is particularly technical: Markdown’s role as an intermediate artefact fits pipelines that compile source into deployable outputs. The AI linkage is provocative rather than rigorously evidenced, but it highlights a real interface truth: many complex systems are steered through plain-text prompts and templates. Overall, the article argues that open, legible, low-friction formats compound over decades in predictable ways - and I agree!