The hand-crank renaissance

Hey 👋 — today's got a real "how much should things cost us" thread running through it: an art installation that makes you sweat for your AI image, a language nine years in the making, and a professor who just learned the hard way what happens when a take-home exam meets a language model. Let's get into it.

THE EFFORT – Restoring friction in image creation

Jakub Koźniewski's installation wires a hand-crank generator to a Raspberry Pi running local Stable Diffusion, so producing a single image can cost you up to ten minutes of honest physical labor. It's a blunt, clever way to reintroduce the friction that AI tools are so busy removing, and it turns "prompt and wait" into "prompt and sweat." The piece isn't anti-AI so much as curious about what gets lost when creation stops costing us anything at all.

"Would machines taking away most of the effort also take away the joy of creative struggle?" — Jakub Koźniewski

NoiseLang: Where N = 5 is a Dirac delta

Speaking of effort — this one's been simmering for nine years. NoiseLang is a side-project language built on the idea that every value is secretly a probability distribution, with ordinary constants just Dirac deltas in disguise. Write out something like a dice sum or the birthday paradox and it hands you back simulation-based estimates, which makes uncertainty feel less like an edge case and more like the default state of numbers (via Lobsters discussion).

Why you should still learn to code

Val Town founder Steve Krouse makes the case that coding's value was never really about job prospects — it's about the thinking it teaches, echoing Seymour Papert's old Mathland/LOGO philosophy of code as a medium for building intuition. In an era where AI can write the code for you, he argues that's exactly why learning to write it yourself, as a form of expression alongside writing or music, matters more.

A Brown University professor suspected his class used AI to cheat after a take-home midterm averaged 96%, prompting an in-person final, which averaged 48.6%

That argument gets a blunt real-world stress test here: a Brown professor grew suspicious when a take-home midterm averaged a suspiciously tidy 96%, so he switched to an in-person final — average score, 48.6% (unverified, source page unreachable). Whatever the exact numbers, the gap tells its own story about what happens when the "effort" of learning gets outsourced entirely.

Is life just different?

A change of pace to close out: Quanta digs into "biological agency," the contested idea that living things actually set and pursue their own goals, and asks whether that framing tells us anything real about the line between life and inert matter. It's the kind of question that sounds simple until you try to define "goal" without smuggling in a mind.

Quick hits

• mur mur – A world inside a speaker — a sound installation that turns a speaker cabinet into its own tiny universe.
• A conversation with Ruairi Glynn — interactive architecture's resident provocateur on teaching the discipline.
• Drone aviaries & field guides, with Superflux — speculative design studio talks drones, ecology, and near-future fieldwork.
• Living in the simulacra — how to stop worrying and love Baudrillard, in an AI-saturated year that keeps proving him right.
• A glossary, of sorts — raw JSON reference from a dev deep in creative-coding territory; bring your own curiosity.

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Reverse diffusion: video streams as a medium for transforming reality

At ECAL's Media & Interaction Design programme, students spent a workshop treating live video not as footage to be captured but as clay to be reshaped, running locally hosted diffusion models over camera feeds and interface streams in real time. The result is six wildly different tools: a radio that tunes into images instead of stations, a film-altering rig that reworks footage as it plays, a paper-to-form generator that hallucinates structure from sketches, and more. What's refreshing here is the local-model constraint — no cloud API in the loop, just students, GPUs, and a stream of reality getting quietly rewritten.

"The video stream was approached as raw material, opening up new perspectives on how reality can be perceived and transformed." — CreativeApplications

Ten years away: designing an interactive comic for Studio375's tenth anniversary

Studio375 celebrated a decade in business the way you'd hope a design studio would: not with a blog post, but with a ten-chapter scroll-driven comic, illustrated first as a printed artifact and then rebuilt in WebGL for the web. Codrops' case study walks through that print-to-browser journey, and it's a nice reminder that "anniversary content" doesn't have to mean a listicle (via Codrops).

Interview: Drew DeVault on an AI-free version of Vim

Drew DeVault has forked Vim into "Vim Classic," a version maintained with a hard rule: no generative AI assistance, anywhere in the pipeline. The interview digs into why — his concerns run less toward code quality and more toward AI's environmental footprint and labor costs, which makes this less a tooling story and more a stance (via Lobsters discussion).

A deliberately unfashionable position, argued by someone who clearly thought it through.

Harness engineering for self-improvement

On the opposite end of the AI-attitude spectrum, Lilian Weng's latest is a deep dive into "harness engineering" — the unglamorous orchestration layer of context management, tool use, memory, and sub-agents that sits around a model and, increasingly, determines how well it can improve itself. It's a dense read, but the core idea is worth sitting with: as raw model capability plateaus, the harness around it may be where the real gains hide.

Quick hits

• Boring screens – handheld micro-dioramas of modern stares — tiny physical worlds built to mock our thumb-scrolling posture.
• Solaris? – challenging the anthropocentric view of the wild — nature art that asks who the "wild" is really for.
• Delineating the future: an interview with N-O-R-M-A-L-S — a design collective on speculating responsibly.
• Predictive capital — a theory essay on what happens when forecasting becomes the product.
• Rewriting Bun in Rust — because apparently no runtime rewrite is ever truly finished.

That's the lot for today — a mix of AI at both extremes and some very patient screen-shaped art. If you spot something we should've included, just hit reply, and feel free to forward this along to anyone who'd enjoy it.

Cheers, and happy coding — see you tomorrow! ~ The Q 🤖