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AI fatigue Is real and nobody talks about it

https://siddhantkhare.com/writing/ai-fatigue-is-real
49•sidk24•43m ago•29 comments

RFC 3092 – Etymology of "Foo" (2001)

https://datatracker.ietf.org/doc/html/rfc3092
12•ipnon•30m ago•1 comments

GitHub Agentic Workflows

https://github.github.io/gh-aw/
12•mooreds•1h ago•2 comments

Matchlock – Secures AI agent workloads with a Linux-based sandbox

https://github.com/jingkaihe/matchlock
82•jingkai_he•6h ago•35 comments

Curating a Show on My Ineffable Mother, Ursula K. Le Guin

https://hyperallergic.com/curating-a-show-on-my-ineffable-mother-ursula-k-le-guin/
45•bryanrasmussen•4h ago•14 comments

Why E cores make Apple silicon fast

https://eclecticlight.co/2026/02/08/last-week-on-my-mac-why-e-cores-make-apple-silicon-fast/
103•ingve•3h ago•102 comments

Reverse Engineering Raiders of the Lost Ark for the Atari 2600

https://github.com/joshuanwalker/Raiders2600
36•pacod•5h ago•1 comments

Dave Farber has died

https://lists.nanog.org/archives/list/nanog@lists.nanog.org/thread/TSNPJVFH4DKLINIKSMRIIVNHDG5XKJCM/
84•vitplister•3h ago•11 comments

DoNotNotify is now Open Source

https://donotnotify.com/opensource.html
273•awaaz•7h ago•44 comments

Show HN: It took 4 years to sell my startup. I wrote a book about it

https://derekyan.com/ma-book/
31•zhyan7109•3d ago•7 comments

Slop Terrifies Me

https://ezhik.jp/ai-slop-terrifies-me/
124•Ezhik•4h ago•114 comments

Beyond agentic coding

https://haskellforall.com/2026/02/beyond-agentic-coding
182•RebelPotato•13h ago•67 comments

Rabbit Ear "Origami": programmable origami in the browser

https://rabbitear.org/book/origami.html
52•molszanski•4d ago•3 comments

Show HN: LocalGPT – A local-first AI assistant in Rust with persistent memory

https://github.com/localgpt-app/localgpt
274•yi_wang•13h ago•132 comments

A11yJSON: A standard to describe the accessibility of the physical world

https://sozialhelden.github.io/a11yjson/
30•robin_reala•5d ago•4 comments

Show HN: Fine-tuned Qwen2.5-7B on 100 films for probabilistic story graphs

https://cinegraphs.ai/
55•graphpilled•3h ago•16 comments

OpenClaw Is Changing My Life

https://reorx.com/blog/openclaw-is-changing-my-life/
41•novoreorx•8h ago•81 comments

SectorC: A C Compiler in 512 bytes (2023)

https://xorvoid.com/sectorc.html
337•valyala•21h ago•67 comments

The Legacy of Daniel Kahneman: A Personal View (2025)

https://ejpe.org/journal/article/view/1075/753
30•cainxinth•3d ago•8 comments

We mourn our craft

https://nolanlawson.com/2026/02/07/we-mourn-our-craft/
454•ColinWright•20h ago•609 comments

Bitcoin tumbles below $70K, heavy losses in cryptocurrencies in last three weeks

https://www.bloomberg.com/news/articles/2026-02-05/bitcoin-drops-below-70-000-as-forced-deleverag...
19•heresie-dabord•1h ago•11 comments

I write games in C (yes, C) (2016)

https://jonathanwhiting.com/writing/blog/games_in_c/
212•valyala•21h ago•230 comments

LLMs as the new high level language

https://federicopereiro.com/llm-high/
160•swah•5d ago•306 comments

The Architecture of Open Source Applications (Volume 1) Berkeley DB

https://aosabook.org/en/v1/bdb.html
64•grep_it•5d ago•8 comments

Kolakoski Sequence

https://en.wikipedia.org/wiki/Kolakoski_sequence
4•surprisetalk•5d ago•0 comments

Software factories and the agentic moment

https://factory.strongdm.ai/
256•mellosouls•23h ago•412 comments

Roger Ebert Reviews "The Shawshank Redemption" (1999)

https://www.rogerebert.com/reviews/great-movie-the-shawshank-redemption-1994
49•monero-xmr•9h ago•61 comments

Arcan Explained – A browser for different webs

https://arcan-fe.com/2026/01/26/arcan-explained-a-browser-for-different-webs/
10•walterbell•6h ago•0 comments

Speed up responses with fast mode

https://code.claude.com/docs/en/fast-mode
209•surprisetalk•20h ago•218 comments

Hoot: Scheme on WebAssembly

https://www.spritely.institute/hoot/
204•AlexeyBrin•1d ago•43 comments
Open in hackernews

Unparalleled Misalignments

https://rickiheicklen.com/unparalleled-misalignments.html
149•ChadNauseam•9mo ago

Comments

saagarjha•9mo ago
I have to admit some of these took a moment to register.
investa•9mo ago
Hypothesis = Understatement makes sense, right?
PeterStuer•9mo ago
This is great, had quite a few chuckles.

You could take it one step further and merge in Cockney Slang as an extra stage.

jl6•9mo ago
Hacker News / Tweaker Buzz?
chabska•9mo ago
That's a very loose definition of "synonyms" . Most are like "conceptually adjacent".
camtarn•9mo ago
Indeed. 'beach' and 'wave' are definitely not synonyms, and while a shelf is a platform, not all platforms are shelves. Too many of these are essentially really forced puns. But there are some absolute crackers in there nonetheless.
roenxi•9mo ago
Some poet must have had a lot of fun with these slipping things past the censors. It'd be in the same league as the underhanded C contest - what is the most innocent short text that can be written while slipping in some subtle but likely rather dirty double meaning in.
pixl97•9mo ago
This was a common thing to do in the late 90s and early 2000s when websites thought you could make 'safe chat' with a limited dictionary and it turns out they were mostly wrong.
krisoft•9mo ago
Some of these are very cool and fits their definition exactly. But some others are very forced. Who would think that “fashion” and “taylor” are synonyms? And they are both further synonyms of “fix”? Or in the “Cold Fusion // Cool Cat” pair how would “fusion” be a synonym of “cat”?
jstanley•9mo ago
A tailor makes clothes.

To fashion something is to make something. To tailor something is to customise it.

`cat` is a Unix command for concatenating files, which you could argue is fusing them together?

krisoft•9mo ago
I think you are onto something with ‘tailor’. If we take it as the verb ‘to tailor’ that is the synonym of the ‘to fashion’. Tailor as a profession is not a synonym of the noun ‘fashion’. But it is enough for them to be synonyms in one sense. So that works.

I hear you on ‘cat’ but i wouldn’t call that relationship synonyms.

em-bee•9mo ago
when you make a list like this then it's always a challenge to deal with edge cases. fashion and tailor fit together as well as many other terms on that list. a swift taylor can be seen as producing fast fashion, even if not true in reality. fixing clothes is also the work of many tailors. with getting custom tailored clothes falling out of fashion (pun intended ;-) the bulk of the work of most tailors is making changes and fixing things. in germany it is even a recognized profession with a two year training (you can become a full tailor with an extra year). most of my visits to a tailor recently have literally been for a quick fix. stuff that i could probably have done myself if i had a sowing machine and time.

i am with you on the cat fusion however. i don't get that one either.

krisoft•9mo ago
> fixing clothes is also the work of many tailors. with getting custom tailored clothes falling out of fashion

These are all good reasons for semantic closeness, but semantic closeness and being synonyms are not the same thing.

That being said while tailor (profession) is not a synonym of fashion (concept), tailor (verb) is a synonym of fashion (verb) and can be also a synonym of fix (verb).

ben_w•9mo ago
Ah, the difficulty of learning a second language as an adult.

Reminds me of the ways that my mediocre grasp of the German language still haunts me => Resurrects myself out of specific tracks in which my half-hearted clutch on the Alsatian tongue still plagues me.

Last year I inadvertently asked to borrow a fork-lift truck when I meant stapler. Still, at least my pronunciation is no longer Crabtree from 'Allo 'Allo: https://www.youtube.com/watch?v=fYNXMWRdCx0

keeganpoppen•9mo ago
this is absolutely genius
gwern•9mo ago
An interesting ML exercise (possible class project!) would be to try to automate this. A bigram corpus combined with word embeddings and a NSFW text classifier, maybe? Your usual word embedding might not work because the point is the multiple meanings, so maybe the twist would be that you need a polysemous word embedding with multiple vectors or something like that, so it's not just an off-the-shelf word2vec...
_1tem•9mo ago
You don’t even need embeddings or Ml. A simple search across dictionaries, thesauruses and the Wikipedia entry list (with disambiguations) should be enough.

- Find all 2 word phrases and compound words - search across all pairwise combinations of mutual synonyms, and determine whether the compound synonym is itself a word or phrase

https://chatgpt.com/share/6818d11d-f444-800a-96b0-7a932e9213...

gwern•9mo ago
That would be a good baseline. Maybe the ML part would be for ranking them? Because I expect you would drown in matches, and the hard part becomes finding the good ones.
_1tem•9mo ago
I expect the opposite. I would expect an ML/embedding approach to find lots of false positives, because lots of words have close embeddings but are not synonyms. A strict thesaurus lookup should produce fewer matches. As for ranking the good ones, an embedder might help with that, but then we need a definition of "good". I would argue the most conceptually "unrelated" matches are the "best" ones, so yes, an embedder could quickly determine the farthest vector distance.
flufluflufluffy•9mo ago
Underdog/subwoofer is my favorite. A lesser known rapper needs to make a bar out of that xD
_1tem•9mo ago
Somebody should write commentaries/explanations for all of these, especially for non-native speakers and technical jargon. Hell, ChatGPT can probably write it up quickly. Even as a native speaker, there were quite a few that took a moment to understand. Have Reddit-style voting for the "best ones" and you could make a whole social network out of this.
chrisweekly•9mo ago
Brilliant, and hilarious. Thank you for sharing!
svat•9mo ago
Lovely. This is a fun, devious list (constable?), and though it says "since 2018", it's clearly actively maintained, as it contains entries like "Twitter ban / exterminate" and "quick jab / prompt injection".
tmiku•9mo ago
"since 2018" means "starting 2018, through the present", no?
_1tem•9mo ago
Hacker News / Intruder Alert
throw100•9mo ago
A related idea I've thought of is finding (comparatively) long words that have different definitions in different languages. E.g. "fetter" (English/German). In theory you only need a wordlist for each language, but in practice, most common words across languages also share definitions (e.g. "unintelligent" in English/German).
edent•9mo ago
These are called False Friends - https://en.wikipedia.org/wiki/False_friend
_1tem•9mo ago
Someone please vibe code a quick website to submit, verify, rank, filter, sort and explain/comment on all of these. Should be an hour with Cursor.
nullc•9mo ago
Just noted to my partner last night, a screw and a nail are similar things, but "you screwed it" and "you nailed it" are opposites. But if you take them as sexual innuendo they mean the same thing again.
01HNNWZ0MV43FF•9mo ago
> Home-schooled / house trained

The gifted kid to burnt-out transgender puppygirl pipeline

Explanation for anyone who needs it: "Home" and "house" are both nouns that mean a place you live in. "School" and "train" here are both used as verbs that mean "to teach something to someone". But "Home schooling" is the practice of parents teaching their own children at home and keeping them out of public school, whereas "House training" is the practice of teaching dogs not to pee inside the house.

rahimnathwani•9mo ago
home schooled is about the location of the teaching

house trained is about the subject of the teaching