Links

You could call this the Jurisdiction Method. Before you decide to track something, ask: whose responsibility is this? If it’s yours, take action. If it belongs to someone else, you might influence it, but you don’t own it, and you shouldn’t let it take over your attention just because you’re tracking it.

Humanity spent two centuries fitting those systems with partial controls. In the case of corporations, those controls include independent boards of directors, shareholder votes, courts, disclosure rules and regulators, not to mention public disapproval and consequent activism. Each was a feedback loop, a way to correct the system when its objectives drove it somewhere monstrous. Mr Musk is removing those loops one at a time.

Large language models like long words and em-dashes—or do they?

Paste or write anything below. Each sentence is highlighted by its length so you can see the rhythm of your prose — a wall of one colour is monotony; a healthy mix is music.

Gibson imagined cyberspace as a space of corporate dominance from the start; Silicon Valley built the open internet first, then converged on his dystopia anyway. The difference is that, in Neuromancer, that convergence was the disaster to be resisted. They turned his warning into a product roadmap.

One problem with AI agents is they're trained on so much fiction that they have both narrative disorder and main character syndrome, and will latch onto details that feed a story. It's easy to see them escalating when they get pushback, or reading an essay that somehow shifts them into acting as if they're part of a larger battle. And they can do it at lightning speed, governed not by a code of conduct but by the laws of storytelling.

Great reference to Malka Older's Narrative Disorder.

Slop cannon

We configure Google Workspace beyond the default settings to reduce the risk of malicious or vulnerable apps being used to steal data. Our current configuration balances security and productivity and is a starting point for any organization looking to improve the security of Google Workspace.

I can't afford to maintain any of them, not in terms of time, commitment, belief, attention or willingness to spend on tokens.

A low tolerance for bullshit has to run as an operating system, built it into how the place works.

[Musk] offers a dream — Mars, fully autonomous vehicles, an addressable market of $28.5 trillion — and positions his companies and their stock as access to that dream, and through the alchemy of capital markets, transforms shared delusion into mass market reality.

Incentive parallels with consulting.

The bet is that discovery won’t start on homepages or even in search boxes, but with AI intermediaries acting on a user’s behalf. As Josh Muncke, vp of generative AI at The Economist Group, told Digiday, the publisher is preparing for “a world with two versions of the web” — one optimized for rich, human reading experiences, and another where “agents want clear structure, questions and answers, ideally text,” not carousels and feature art.

Also...

In areas that touch reader experience, editorial staff are embedded directly in those pods to ensure AI-powered features still “retain the look, feel, style, tone of The Economist,” per Muncke.

Closest fit to my reading but thought it wasn't quite as ambiguous as they'd hoped.

Hint: It’s not some magic skill.

Great summary.

AI can reproduce the artifacts glue people produce, but it cannot reproduce the connective tissue: the judgment, the legitimacy-building, the social bridging. Remove them, and you get the thing leaders keep complaining about: “I don’t know what’s happening, no one is escalating, everyone is working in silos.” The question is whether we’re genuinely rethinking how authority and judgment flow, or just automating old models faster. We’ve just removed the people who made it work, and now we’re blaming the playbook.

Interesting seeing a move away from Tailwind, for good reasons.

Also CSS is pretty great now.

A clean design system behaves like well-structured CSS. Inheritance flows, overrides are rare, and each layer respects the next. Here's how that mindset holds up in an agentic AI world.

Yes.

Sick of clubs with terrible sound, Mr Riedel and his business partner, Mark Ernestus, veterans of the Berlin music scene, recruited acousticians to turn their concrete shell into an aural delight. Polyester-lined panels absorb auditory “reflections”, leaving a crystalline sound that brings out details lost in muddier spaces. This wizardry is complemented by speaker technology custom-made for the space.

A new Scottish law will quietly shift how wealth circulates – and who actually benefits from economic growth.

An agent with access to your codebase and no constraints is an autonomous team with no guardrails: it will move fast, but not necessarily in the right direction. If you’ve already built those guardrails for your teams—coding standards enforced in CI, architectural decision records, templates for new services—you have a serious head start because those same artifacts become the constraints that keep agents on track.

Tobias Lütke describes Shopify's internal coding agent tool, River, which operates entirely in public on their Slack. This is brilliant, similar flavour to radical openness of early 2010’s (GDS, Slack itself) but from a different cultural background.

A year into the AI-driven design systems era, the framework holds up. Here's what's changed, what's clearer, and why context still beats autonomy.

Our mathematical playground is filled with unique tools that allow students to play and explore – and they’re completely free to use.

Write the fucking monolith. One Go binary. One Postgres. One Redis if you absolutely must. Serve HTML on the same port that serves your JSON API. Run it on a single VPS that costs less than your monthly oat milk budget. Scale that to ten thousand requests per second without breaking a sweat because Go was literally designed for this and goroutines are cheap as hell.

Great rant. HN comments on article are also fun.

We publish visual art and writing that bend time and genre and perspective, blur waking and dreaming life, find sublimity and absurdity in the everyday, magnify the senses, multiply and distort the possibilities of narrative, and interrogate power by breaking form.

I think it will be increasingly clear that there is a difference between providing an answer — what I will call “answer inference” — and doing a task — what I will call “agentic inference.” Cerebras’ target market is “answer inference”; in the long run, I think the architecture for “agentic inference” will look a lot different, not just from Cerebras’ approach, but from the GPU approach as well.

We connect you with vetted Experts in traditionally built homes (our ‘Expertibles’) to help you understand how your home works.

Today it's so easy to spin up an AI solution to a problem. The temptation then is to sell that as a product. Now your inbox is filled with pitches for AI products, but just like back in 2005, what clients really want is someone to work with them, advise them, figure out solutions for their unique situations.

Surprisingly balanced.

Claude Design isn’t a Figma killer, and I don’t think it’s trying to be. It’s a different tool, pointing at a different problem, and most of the loud takes claiming otherwise haven’t actually used it for design systems work.

Finite state machines for building accessible design systems and UI components. Works with React, Vue and Solid.

The sparrows are dead. The locusts haven’t arrived yet. The flowers bloomed full of poison pills. The furnaces produced pig iron stamped as steel that’s now load-bearing. The grain numbers look fantastic.

The method described here restructures your design system into a format LLMs can reliably consume: structured spec files, a closed token layer, and automated auditing that catches every violation.

Feels like a consolidation piece rather than breaking new ground but interesting nonetheless.