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Goal: Ship 1M Lines of Code Daily

2•feastingonslop•6m ago•0 comments

Show HN: Codex-mem, 90% fewer tokens for Codex

https://github.com/StartripAI/codex-mem
1•alfredray•8m ago•0 comments

FastLangML: FastLangML:Context‑aware lang detector for short conversational text

https://github.com/pnrajan/fastlangml
1•sachuin23•12m ago•1 comments

LineageOS 23.2

https://lineageos.org/Changelog-31/
1•pentagrama•15m ago•0 comments

Crypto Deposit Frauds

1•wwdesouza•16m ago•0 comments

Substack makes money from hosting Nazi newsletters

https://www.theguardian.com/media/2026/feb/07/revealed-how-substack-makes-money-from-hosting-nazi...
1•lostlogin•16m ago•0 comments

Framing an LLM as a safety researcher changes its language, not its judgement

https://lab.fukami.eu/LLMAAJ
1•dogacel•19m ago•0 comments

Are there anyone interested about a creator economy startup

1•Nejana•20m ago•0 comments

Show HN: Skill Lab – CLI tool for testing and quality scoring agent skills

https://github.com/8ddieHu0314/Skill-Lab
1•qu4rk5314•20m ago•0 comments

2003: What is Google's Ultimate Goal? [video]

https://www.youtube.com/watch?v=xqdi1xjtys4
1•1659447091•20m ago•0 comments

Roger Ebert Reviews "The Shawshank Redemption"

https://www.rogerebert.com/reviews/great-movie-the-shawshank-redemption-1994
1•monero-xmr•23m ago•0 comments

Busy Months in KDE Linux

https://pointieststick.com/2026/02/06/busy-months-in-kde-linux/
1•todsacerdoti•23m ago•0 comments

Zram as Swap

https://wiki.archlinux.org/title/Zram#Usage_as_swap
1•seansh•36m ago•0 comments

Green’s Dictionary of Slang - Five hundred years of the vulgar tongue

https://greensdictofslang.com/
1•mxfh•37m ago•0 comments

Nvidia CEO Says AI Capital Spending Is Appropriate, Sustainable

https://www.bloomberg.com/news/articles/2026-02-06/nvidia-ceo-says-ai-capital-spending-is-appropr...
1•virgildotcodes•40m ago•2 comments

Show HN: StyloShare – privacy-first anonymous file sharing with zero sign-up

https://www.styloshare.com
1•stylofront•42m ago•0 comments

Part 1 the Persistent Vault Issue: Your Encryption Strategy Has a Shelf Life

1•PhantomKey•45m ago•0 comments

Show HN: Teleop_xr – Modular WebXR solution for bimanual robot teleoperation

https://github.com/qrafty-ai/teleop_xr
1•playercc7•48m ago•1 comments

The Highest Exam: How the Gaokao Shapes China

https://www.lrb.co.uk/the-paper/v48/n02/iza-ding/studying-is-harmful
2•mitchbob•52m ago•1 comments

Open-source framework for tracking prediction accuracy

https://github.com/Creneinc/signal-tracker
1•creneinc•54m ago•0 comments

India's Sarvan AI LLM launches Indic-language focused models

https://x.com/SarvamAI
2•Osiris30•55m ago•0 comments

Show HN: CryptoClaw – open-source AI agent with built-in wallet and DeFi skills

https://github.com/TermiX-official/cryptoclaw
1•cryptoclaw•58m ago•0 comments

ShowHN: Make OpenClaw respond in Scarlett Johansson’s AI Voice from the Film Her

https://twitter.com/sathish316/status/2020116849065971815
1•sathish316•1h ago•2 comments

CReact Version 0.3.0 Released

https://github.com/creact-labs/creact
1•_dcoutinho96•1h ago•0 comments

Show HN: CReact – AI Powered AWS Website Generator

https://github.com/creact-labs/ai-powered-aws-website-generator
1•_dcoutinho96•1h ago•0 comments

The rocky 1960s origins of online dating (2025)

https://www.bbc.com/culture/article/20250206-the-rocky-1960s-origins-of-online-dating
1•1659447091•1h ago•0 comments

Show HN: Agent-fetch – Sandboxed HTTP client with SSRF protection for AI agents

https://github.com/Parassharmaa/agent-fetch
1•paraaz•1h ago•0 comments

Why there is no official statement from Substack about the data leak

https://techcrunch.com/2026/02/05/substack-confirms-data-breach-affecting-email-addresses-and-pho...
13•witnessme•1h ago•4 comments

Effects of Zepbound on Stool Quality

https://twitter.com/ScottHickle/status/2020150085296775300
2•aloukissas•1h ago•1 comments

Show HN: Seedance 2.0 – The Most Powerful AI Video Generator

https://seedance.ai/
2•bigbromaker•1h ago•0 comments
Open in hackernews

Debugging Humidity: Lessons from deploying software in the physical world

https://physical-ai.ghost.io/debugging-humidity-lessons-from-deploying-code-to-a-factory-floor/
16•boulevard•4mo ago

Comments

_wire_•4mo ago
When it rains, it cores
boulevard•3mo ago
Haha! That's brilliant. You have summarized my entire blog in four words :P
unwind•3mo ago
Obi-Wan, is that you? :)
boulevard•3mo ago
Hello there.
timerol•3mo ago
Okay, but what about humidity? I was excited to read about a failure mode where the moisture content of air mattered, or at least get mildly clickbaited into learning about a tool called Humidity. Instead there are no other references to humidity apart from the title
sokoloff•3mo ago
The cloud is 100% humidity, I suppose.
OptionOfT•3mo ago
Too much humidity makes it rain, and rain can make the Wi-Fi work: https://predr.ag/blog/wifi-only-works-when-its-raining/
boulevard•3mo ago
I chose "Debugging Humidity" as a metaphor for all the invisible, pervasive environmental factors that you have to deal with in the physical world. Latency, power flicker, interference, etc. It's the "stuff in the air" that messes up clean logic.

The title was actually inspired by a real incident where a device kept failing every afternoon. We eventually realized that condensation from the facility's massive air conditioning unit was dripping onto the enclosure right above the SoC. We were, quite literally, debugging the effects of humidity. I should have included that story in the post itself.

camtarn•3mo ago
Some of my code gets deployed to a PLC aboard a wave power generator hundreds of metres offshore, with a cellular link that might go down in a storm. If something gets unrecoverably wedged, retrieving the device starts at $10K to hire a ship.

I feel this blog post hard.

boulevard•3mo ago
Wow, that's a fantastic and terrifying example. "Retrieving the device starts at $10K" is about as high-stakes as it gets for software reliability. It perfectly crystallizes the difference between rebooting a cloud instance for pennies and the extreme costs of failure in the physical world.
rdtsc•3mo ago
> This is why so many “IoT platforms” die in pilot purgatory. They are built by cloud engineers who underestimate the friction of the real world and overestimate the availability of bandwidth.

Indeed. That's why it's important to send your engineers along with the sales folks to these sites. If anything just to get a perspective on things like that.

> The first time I deployed code to an actual factory floor, I learned that "edge compute" doesn’t live in climate-controlled racks. It lives next to dust, grease, and forklifts.

And bugs, real ones not just nice abstract software ones. So you may find yourself debugging spider webs and ants crawling around, which always makes for great puns and stories.

boulevard•3mo ago
There is absolutely no substitute for an engineer seeing, smelling, and hearing the environment where their code will actually run. The number of times a mysterious software glitch on a remote device has been traced back to insect nests, rodent chewed cables, or just a thick layer of industrial grime is not zero. It gives a whole new meaning to flushing the cache :)
OptionOfT•3mo ago
Isn't

> Now, imagine your request is actuator.rotate(90).

a good example of something that is not idempotent? As it is based on its current position. Actually idempotent would be: `actuator.rotateTo(Degrees(90))` with a predefined frame of reference, or a frame of reference that you can include in the request.

Like the difference between a servomotor vs stepper motor.

boulevard•3mo ago
Your suggestion of actuator.rotateTo(Degrees(90)) is precisely the right way to engineer a robust, idempotent command for the physical world.

I used the simpler, non-idempotent rotate(90) example intentionally to illustrate the default trap. How a pure software mindset can dangerously oversimplify a physical action.