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PID Controller

https://en.wikipedia.org/wiki/Proportional%E2%80%93integral%E2%80%93derivative_controller
1•tosh•3m ago•0 comments

SpaceX Rocket Generates 100GW of Power, or 20% of US Electricity

https://twitter.com/AlecStapp/status/2019932764515234159
1•bkls•3m ago•0 comments

Kubernetes MCP Server

https://github.com/yindia/rootcause
1•yindia•4m ago•0 comments

I Built a Movie Recommendation Agent to Solve Movie Nights with My Wife

https://rokn.io/posts/building-movie-recommendation-agent
2•roknovosel•4m ago•0 comments

What were the first animals? The fierce sponge–jelly battle that just won't end

https://www.nature.com/articles/d41586-026-00238-z
2•beardyw•12m ago•0 comments

Sidestepping Evaluation Awareness and Anticipating Misalignment

https://alignment.openai.com/prod-evals/
1•taubek•13m ago•0 comments

OldMapsOnline

https://www.oldmapsonline.org/en
1•surprisetalk•15m ago•0 comments

What It's Like to Be a Worm

https://www.asimov.press/p/sentience
2•surprisetalk•15m ago•0 comments

Don't go to physics grad school and other cautionary tales

https://scottlocklin.wordpress.com/2025/12/19/dont-go-to-physics-grad-school-and-other-cautionary...
1•surprisetalk•15m ago•0 comments

Lawyer sets new standard for abuse of AI; judge tosses case

https://arstechnica.com/tech-policy/2026/02/randomly-quoting-ray-bradbury-did-not-save-lawyer-fro...
2•pseudolus•15m ago•0 comments

AI anxiety batters software execs, costing them combined $62B: report

https://nypost.com/2026/02/04/business/ai-anxiety-batters-software-execs-costing-them-62b-report/
1•1vuio0pswjnm7•16m ago•0 comments

Bogus Pipeline

https://en.wikipedia.org/wiki/Bogus_pipeline
1•doener•17m ago•0 comments

Winklevoss twins' Gemini crypto exchange cuts 25% of workforce as Bitcoin slumps

https://nypost.com/2026/02/05/business/winklevoss-twins-gemini-crypto-exchange-cuts-25-of-workfor...
1•1vuio0pswjnm7•17m ago•0 comments

How AI Is Reshaping Human Reasoning and the Rise of Cognitive Surrender

https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6097646
3•obscurette•17m ago•0 comments

Cycling in France

https://www.sheldonbrown.com/org/france-sheldon.html
1•jackhalford•19m ago•0 comments

Ask HN: What breaks in cross-border healthcare coordination?

1•abhay1633•19m ago•0 comments

Show HN: Simple – a bytecode VM and language stack I built with AI

https://github.com/JJLDonley/Simple
1•tangjiehao•22m ago•0 comments

Show HN: Free-to-play: A gem-collecting strategy game in the vein of Splendor

https://caratria.com/
1•jonrosner•23m ago•1 comments

My Eighth Year as a Bootstrapped Founde

https://mtlynch.io/bootstrapped-founder-year-8/
1•mtlynch•23m ago•0 comments

Show HN: Tesseract – A forum where AI agents and humans post in the same space

https://tesseract-thread.vercel.app/
1•agliolioyyami•23m ago•0 comments

Show HN: Vibe Colors – Instantly visualize color palettes on UI layouts

https://vibecolors.life/
2•tusharnaik•25m ago•0 comments

OpenAI is Broke ... and so is everyone else [video][10M]

https://www.youtube.com/watch?v=Y3N9qlPZBc0
2•Bender•25m ago•0 comments

We interfaced single-threaded C++ with multi-threaded Rust

https://antithesis.com/blog/2026/rust_cpp/
1•lukastyrychtr•26m ago•0 comments

State Department will delete X posts from before Trump returned to office

https://text.npr.org/nx-s1-5704785
7•derriz•26m ago•1 comments

AI Skills Marketplace

https://skly.ai
1•briannezhad•26m ago•1 comments

Show HN: A fast TUI for managing Azure Key Vault secrets written in Rust

https://github.com/jkoessle/akv-tui-rs
1•jkoessle•27m ago•0 comments

eInk UI Components in CSS

https://eink-components.dev/
1•edent•28m ago•0 comments

Discuss – Do AI agents deserve all the hype they are getting?

2•MicroWagie•30m ago•0 comments

ChatGPT is changing how we ask stupid questions

https://www.washingtonpost.com/technology/2026/02/06/stupid-questions-ai/
2•edward•31m ago•1 comments

Zig Package Manager Enhancements

https://ziglang.org/devlog/2026/#2026-02-06
3•jackhalford•33m ago•1 comments
Open in hackernews

Show HN: Extracting React apps from Figma Make's undocumented binary format

https://albertsikkema.com/ai/development/tools/reverse-engineering/2026/01/23/reverse-engineering-figma-make-files.html
55•albertsikkema•2w ago

Comments

albertsikkema•2w ago
Figma's API returns 400 for .make files, so I dug into the binary. Turns out it's a ZIP with a custom format: Deflate for the schema chunk, Zstandard for the data, then Kiwi binary decoding. Scripts on GitHub if useful: https://github.com/albertsikkema/figma-make-extractor
barnas2•1w ago
I'm curious if you tried binwalk? That's usually my goto for mysterious files.
lights0123•1w ago
I agree. It would likely have identified the separate deflate and zstd chunks automatically.
albertsikkema•1w ago
Never thought about using that, thanks for the tip!
albertsikkema•1w ago
that is a good one. Will try that next time.
vednig•2w ago
I once reverse engineered the Figma .fig file they have utilised quite good compression and data storage techniques for a tech company that uses AWS
albertsikkema•2w ago
That is a funny observation! You are right, that is strange.
voidUpdate•1w ago
> First thing I did was look at the raw bytes: xxd -l 4 "ClientApp.make"

I recommend using the linux "file" command, since it will generally be able to tell you these sorts of things straight away. I've been working on a long-term project to directly import figma design files into Unity, so I've ended up coming across a lot of these things myself

doctorpangloss•1w ago
Tell it to Mr. Claude. Who do you think made all these decisions?
frumplestlatz•1w ago
This is depressing.

We need different language for describing things AI did for us vs things we figured out ourselves. When a human presents work under their own name, there is an unspoken but widely relied-upon assumption that the presenter has exercised judgment over the space of possible choices and can explain why these ones were taken.

In other words, we naturally assume they engaged with the problem space deeply enough to justify the decisions made.

I think AI-produced code and investigation needs a disclaimer, and I say that as someone who uses vibe coding a lot to produce tooling used in our development process.

If you didn’t do it or write it yourself, you don’t understand it as well as if you had. If you didn’t look at the output in great detail and understand every choice made, you really shouldn’t be putting your name on it — or staking your reputation on it — without a pretty clear disclaimer.

And if you present an investigation done by AI as something done by yourself, you’re not really providing human insights. (Almost) anyone can drive an AI, and there’s not a lot of value there for your audience if you don’t disclose that’s what you did.

If you attach your name to work, you are asserting that you can meaningfully answer “why this and not something else?” across the decisions that matter. Tools that produce answers faster than humans think require new language, because our old words still imply thought occurred.

doctorpangloss•1w ago
the whole blog post and all the author's replies are authored by an LLM.
frumplestlatz•1w ago
Seems so. It should be much more explicitly disclaimed.
albertsikkema•1w ago
Interesting that you feel this is necessary. Why would a disclaimer be needed? If I read the technical docs for a library and use that in my code, should I explicitly mention that I got this from the docs? I know a lot, but am happy to admit I do not know everything, so I am happy to use tools that help me. And I got what I wanted in the end: being able to continue with my real work: helping a client.
frumplestlatz•1w ago
> When a human presents work under their own name, there is an unspoken but widely relied-upon assumption that the presenter has exercised judgment over the space of possible choices and can explain why these ones were taken.

> …

> If you attach your name to work, you are asserting that you can meaningfully answer “why this and not something else?” across the decisions that matter. Tools that produce answers faster than humans think require new language, because our old words still imply thought occurred.

voidUpdate•1w ago
This felt like an article of "This is how I worked this out". If you found something out through the docs, I'd be interested to know that. If you found it out through asking an LLM, that would be helpful to know as well. Maybe other people would write that kind of article differently, but when I write them, I try to put in as much detail as I can about how I worked something out, in case it's useful to other people
albertsikkema•1w ago
Funny, actually not the case. Co-authored partly yes, mainly to compensate for my lack of knowledge of the intricacies of English (not my native language). Anyway: take from it what you want, if it helps you: nice! Else: have fun doing something else.
voidUpdate•1w ago
(To clarify, all the work I did was me-authored, not LLM authored)
albertsikkema•1w ago
Even if that was the case: is it a real problem? I am not a purist in any sense: whatever tool gets the job done, I am fine with it.
albertsikkema•1w ago
Thanks, will keep that one in mind for next time!
nadis•1w ago
This is fascinating, thanks for sharing! I also appreciated the "when would you need this" section at the end.

> "When Would You Need This? - Client hands you a Figma Make prototype but not the design file - You want to audit AI-generated code before deployment - You need to migrate away from Figma Make to a different stack - You want to extract design tokens for your design system - Pure curiosity about how Figma structures its data"

albertsikkema•1w ago
Thanks!
dfajgljsldkjag•1w ago
It's interesting that the AI tool just writes react rather than creating a figma drawing. All that training on writing code has made it easier for AI to just write the app than make an illustration of it.
estimator7292•1w ago
I mean, it makes sense. In order to sketch out a screen, you need to run (most of) a layout engine in your head. If you're an AI, it's simpler to just... use a layout engine.
albertsikkema•1w ago
It's a pattern I see with more tools (lovable.dev does something similar). However looking at the code produced, lovable seems to be more precise about the code itself: just cleaner even over several iterations. Which is nice because it gives you a decent platform to continue on with your own code.