Earlier quoted context omitted.
> The excitement of getting a day's work done in an hour* (for example) is likely to fade once the expectation is to produce 8 of such old-days output per day. It's not really about excitement or enjoyment of work. It's the fear about the __8x output__ being considered as __8x productivity__. The increase in `output/productivity` factor has various negative implications. I would not say everything out loud. But the w…
I always feel most productive when I remove more code than I add.
AI coding made me faster, but I can't code to music anymore
191–200 of 262 posts
Re: AI coding made me faster, but I can't code to music anymore
#192Earlier quoted context omitted.
It's not parody. I'm trying to provide the LLM with what's missing, which is a theory of how the system fits into the world: https://pages.cs.wisc.edu/~remzi/Naur.pdf Without this it defaults to being ignorant about the trade-offs that you care about, or the relevant assumptions you're making which you think are obvious but really aren't. The "simple stream" aspect is that each task I give to the LLM is narrowly scop…
So like: Generate a metaphor-rich essay on the fragility of digital memory in the age of infinite storage LLMs understand metaphor but may default to literal interpretations unless nudged Reader is tech-savvy but emotionally attuned We romanticize loss and impermanence; permanence is sterile Poetic, but not florid. Think Calvino meets cyberpunk. Not just data retention, but emotional proxies, identity scaffolding We…
---
### The Fragility of Digital Memory in the Age of Infinite Storage
We live inside an archive that never closes. Hard drives hum like cathedrals of perfect recall, cloud servers drift like silent librarians in orbit, and every keystroke is another bone set in amber. Memory, once a trembling candle subject to drafts and time, now runs on battery backups and redundant arrays. Forgetting has been engineered out of the system.
And yet, the paradox: by remembering everything, we begin to lose the art of remembering at all. Human memory is a cracked mirror—crooked, selective, shimmering with distortions that make us who we are. Its gaps are the negative space where meaning lives. The story of a childhood is not its complete inventory but its torn edges, the blurred photograph, the half-forgotten lullaby whose missing notes we hum into being.
Digital memory, by contrast, is a hoarder’s attic with perfect climate control. Nothing rots, nothing fades, nothing dares to slip away. Every draft email unsent, every unflattering selfie, every midnight search query—all preserved in pristine sterility. The archive is so complete that it ceases to be a story. It becomes a warehouse of moments that never learned how to decay.
But memory without decay is less than human. Nostalgia itself might be the first compression algorithm: a lossy filter that turns clutter into resonance. Without the soft erasures of time, experience calcifies into raw data, and raw data has no mercy.
Perhaps what we need are systems that misremember. Databases that dream. Algorithms that allow certain files to fray at the edges, to grow fuzzy like old film reels, to tint themselves with the sepia of emotion rather than the fluorescence of metadata. A kind of deliberate forgetting—not loss as failure, but loss as design.
Because what is fragility if not the pulse behind memory’s worth? The hard drive never gasps, never sighs; only the human mind knows the ache of absence, the sweetness of something slipping away. If the future is an archive without end, perhaps our task is to reintroduce the possibility of disappearance. To let silence seep between the entries. To remind the machines that to truly remember, one must first learn how to forget.
---
Do you want me to lean this more toward *meditation* (open-ended, drifting) or *argument* (provoking design questions like “can forgetting be engineered”)?
Re: AI coding made me faster, but I can't code to music anymore
#193Earlier quoted context omitted.
I bet some people felt the same way when we collectively moved from assembly to compilers.
Yeah, if not only for the small fact that you are leaving a well defined set of rules for pure chaos and randomness this time around.
People keep comparing higher-level programming languages to lower-level abstractions - these comparisons are absolutely false. The whole point of higher-level programming languages is for people to get away from working with the lower level stuff.
But with the way software engineers are interacting with LLMs, they are not getting away from writing code because they have to use what comes out of it to achieve their goal (writing and piecing together code to complete a project).
Re: AI coding made me faster, but I can't code to music anymore
#194The tradeoff of higher velocity for less enjoyment may feel less welcome when it becomes the new baseline and the expectation of employers / customers. The excitement of getting a day's work done in an hour* (for example) is likely to fade once the expectation is to produce 8 of such old-days output per day. I suspect it doesn't matter how we feel about it mind you. If it's going to happen it will, whether we enjoy t…
Re: AI coding made me faster, but I can't code to music anymore
#195Earlier quoted context omitted.
The trick is not telling anyone you spent an hour to do 7 hours of work. That's stupid and detrimental to your mental health. You do it in an hour, spend maybe 1-2 hours to make it even better and prettier and then relax. Do all that menial shit you've got lined up anyway.
> The trick is not telling anyone you spent an hour to do 7 hours of work. I wish that the hype crowd would do that. It would make a for a much more enjoyable and sane experience on platforms like this. It's extremely difficult to have actual conversations subjects when there are crowds of fans involved who don't want to hear anything negative. Yes, I also do realize there are people completely on the other side as w…
Exactly, IME the hype crowd is really the worst at this. They will spend 8h doing 8 different 1h tries at getting the right context for the LLM and then claim they did it in 1h.
They claim to be faster than they are. There's a lot of mechanical turking going about as soon as you ask a few probing questions.
Re: AI coding made me faster, but I can't code to music anymore
#196Earlier quoted context omitted.
So like: Generate a metaphor-rich essay on the fragility of digital memory in the age of infinite storage LLMs understand metaphor but may default to literal interpretations unless nudged Reader is tech-savvy but emotionally attuned We romanticize loss and impermanence; permanence is sterile Poetic, but not florid. Think Calvino meets cyberpunk. Not just data retention, but emotional proxies, identity scaffolding We…
Here’s a first draft of your essay—leaning into metaphor as scaffolding, not ornament, and keeping the tone between elegy and cyberpunk fable: --- ### The Fragility of Digital Memory in the Age of Infinite Storage We live inside an archive that never closes. Hard drives hum like cathedrals of perfect recall, cloud servers drift like silent librarians in orbit, and every keystroke is another bone set in amber. Memory,…
> But memory without decay is less than human.
How is it less than human? By definition, the undecayed memory is more complete.
> Nostalgia itself might be the first compression algorithm: a lossy filter that turns clutter into resonance.
What is this even supposed to mean? I guess the idea is something here like "fuzzy" memory == "compression" but nostalgia is an emotional response - we're often nostalgic about clear, vivid memories, experiences that didn't lose their texture to time.
> Without the soft erasures of time, experience calcifies into raw data, and raw data has no mercy.
Eh... kinda. Calcifies is the wrong word here. Raw data doesn't have mercy, but lossily-compressed data is merciful? Is memory itself merciful? Or is it a mercy for the rememberer to be spared their past shames?
So much AI slop is like this: it's just words words words words without ideas behind them.
Re: AI coding made me faster, but I can't code to music anymore
#197Fun fact: “praf” (seen in the website domain, praf.me) in Romanian means dust. If you say “you are praf” in Romanian it means that you are f*cked, wasted, done for, etc.
The same word is "prach" in Czech: dust, powder. The "ch" sounds like "kh" (soft k?). In Czech slang prachy means cash, money.
Re: AI coding made me faster, but I can't code to music anymore
#198This way we can allow AIs to do our work, but the AI can also tutor us and teach us the things necessary to verify their work.
Re: AI coding made me faster, but I can't code to music anymore
#199Earlier quoted context omitted.
Yes, but they still filled their purpose. AI slop code doesn't even work beyond toy examples.
After the operating system and the spreadsheet, most software is toys.
Re: AI coding made me faster, but I can't code to music anymore
#200Earlier quoted context omitted.
Given it's 2025 and companies saddled with tech debt continue to prioritize speed of delivery over quality, I doubt the craftperson will win. If anything we'll see disposable systems (or parts) and the job of an SE will become even more like a plumber, connecting prebuilt business logic to prebuilt systems libraries. When one of those fails, have AI whip up a brand new one instead of troubleshooting the existing one(…
> it's 2025 and companies saddled with tech debt continue to prioritize speed of delivery over quality Maybe. I'm seeing the opposite - yes, the big ships take time to turn, but with the rise of ransomware and increasing privacy regulation around the world, companies are putting more and more emphasis on quality and avoiding incidents.