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Are AI agents ready for the workplace? A new benchmark raises doubts

https://techcrunch.com/2026/01/22/are-ai-agents-ready-for-the-workplace-a-new-benchmark-raises-do...
1•PaulHoule•2m ago•0 comments

Show HN: AI Watermark and Stego Scanner

https://ulrischa.github.io/AIWatermarkDetector/
1•ulrischa•2m ago•0 comments

Clarity vs. complexity: the invisible work of subtraction

https://www.alexscamp.com/p/clarity-vs-complexity-the-invisible
1•dovhyi•3m ago•0 comments

Solid-State Freezer Needs No Refrigerants

https://spectrum.ieee.org/subzero-elastocaloric-cooling
1•Brajeshwar•4m ago•0 comments

Ask HN: Will LLMs/AI Decrease Human Intelligence and Make Expertise a Commodity?

1•mc-0•5m ago•1 comments

From Zero to Hero: A Brief Introduction to Spring Boot

https://jcob-sikorski.github.io/me/writing/from-zero-to-hello-world-spring-boot
1•jcob_sikorski•5m ago•0 comments

NSA detected phone call between foreign intelligence and person close to Trump

https://www.theguardian.com/us-news/2026/feb/07/nsa-foreign-intelligence-trump-whistleblower
4•c420•6m ago•0 comments

How to Fake a Robotics Result

https://itcanthink.substack.com/p/how-to-fake-a-robotics-result
1•ai_critic•6m ago•0 comments

It's time for the world to boycott the US

https://www.aljazeera.com/opinions/2026/2/5/its-time-for-the-world-to-boycott-the-us
1•HotGarbage•7m ago•0 comments

Show HN: Semantic Search for terminal commands in the Browser (No Back end)

https://jslambda.github.io/tldr-vsearch/
1•jslambda•7m ago•1 comments

The AI CEO Experiment

https://yukicapital.com/blog/the-ai-ceo-experiment/
2•romainsimon•8m ago•0 comments

Speed up responses with fast mode

https://code.claude.com/docs/en/fast-mode
3•surprisetalk•12m ago•0 comments

MS-DOS game copy protection and cracks

https://www.dosdays.co.uk/topics/game_cracks.php
3•TheCraiggers•13m ago•0 comments

Updates on GNU/Hurd progress [video]

https://fosdem.org/2026/schedule/event/7FZXHF-updates_on_gnuhurd_progress_rump_drivers_64bit_smp_...
2•birdculture•14m ago•0 comments

Epstein took a photo of his 2015 dinner with Zuckerberg and Musk

https://xcancel.com/search?f=tweets&q=davenewworld_2%2Fstatus%2F2020128223850316274
7•doener•14m ago•2 comments

MyFlames: Visualize MySQL query execution plans as interactive FlameGraphs

https://github.com/vgrippa/myflames
1•tanelpoder•15m ago•0 comments

Show HN: LLM of Babel

https://clairefro.github.io/llm-of-babel/
1•marjipan200•15m ago•0 comments

A modern iperf3 alternative with a live TUI, multi-client server, QUIC support

https://github.com/lance0/xfr
3•tanelpoder•17m ago•0 comments

Famfamfam Silk icons – also with CSS spritesheet

https://github.com/legacy-icons/famfamfam-silk
1•thunderbong•17m ago•0 comments

Apple is the only Big Tech company whose capex declined last quarter

https://sherwood.news/tech/apple-is-the-only-big-tech-company-whose-capex-declined-last-quarter/
2•elsewhen•20m ago•0 comments

Reverse-Engineering Raiders of the Lost Ark for the Atari 2600

https://github.com/joshuanwalker/Raiders2600
2•todsacerdoti•22m ago•0 comments

Show HN: Deterministic NDJSON audit logs – v1.2 update (structural gaps)

https://github.com/yupme-bot/kernel-ndjson-proofs
1•Slaine•25m ago•0 comments

The Greater Copenhagen Region could be your friend's next career move

https://www.greatercphregion.com/friend-recruiter-program
2•mooreds•26m ago•0 comments

Do Not Confirm – Fiction by OpenClaw

https://thedailymolt.substack.com/p/do-not-confirm
1•jamesjyu•26m ago•0 comments

The Analytical Profile of Peas

https://www.fossanalytics.com/en/news-articles/more-industries/the-analytical-profile-of-peas
1•mooreds•26m ago•0 comments

Hallucinations in GPT5 – Can models say "I don't know" (June 2025)

https://jobswithgpt.com/blog/llm-eval-hallucinations-t20-cricket/
1•sp1982•27m ago•0 comments

What AI is good for, according to developers

https://github.blog/ai-and-ml/generative-ai/what-ai-is-actually-good-for-according-to-developers/
1•mooreds•27m ago•0 comments

OpenAI might pivot to the "most addictive digital friend" or face extinction

https://twitter.com/lebed2045/status/2020184853271167186
1•lebed2045•28m ago•2 comments

Show HN: Know how your SaaS is doing in 30 seconds

https://anypanel.io
1•dasfelix•28m ago•0 comments

ClawdBot Ordered Me Lunch

https://nickalexander.org/drafts/auto-sandwich.html
3•nick007•29m ago•0 comments
Open in hackernews

Playing every game of Wordle simultaneously

https://chriskw.xyz/2025/08/24/Hyper-Wordle/
65•chriskw•5mo ago

Comments

re•5mo ago
> the list of 2315 valid secret words

> 2315 was the original number of Wordle secret words. After the New York Times acquired Wordle, it was revised down to only 2309 secret words.

The NYT puzzle is no longer beholden to any specific list for solutions. There's now a larger list (of 3200 words) that Wordlebot thinks are now likely to be solutions based on NYT word frequency data, but some recent solutions (like KEFIR and LORIS) have come from outside even this set. (The NYT did however add those words into the Wordlebot dictionary just before those puzzles went live.)

> 12972 possible 5-letter words

Likewise, the number of legally guessable words has been increased to 14855.

chriskw•5mo ago
Good catch! I didn't know about this, I'll update the footnote. Anecdotally everyone I know was very surprised by KEFIR the other day.
tantalor•5mo ago
Because it's not a f*ckin' English word!
ghaff•5mo ago
Yet, it's on bottles that are sold in the grocery store. Yes, it's not really a common word as I commented at the time, but it's not really a word that I'd consider a proper noun or otherwise not legitimate.
seany•5mo ago
You can say fuck on the Internet. It's fine
shkkmo•5mo ago
Is "salsa" an english word?

In english, "salsa" means a spicy dip made from peppers and other vegetables. In spanish, "salsa" just mean a sauce.

Loan words are a well estabished mechanism by which words enter a language from another langues. https://en.m.wikipedia.org/wiki/Loanword

Loanwords spread from their point of adoption into the wider language and can shift from the original meaning, just like other words.

"Kefir" has definitions in every major dictionary and is often used in contexts where all the other words are also english. That makes it pretty conclusively an English word.

tantalor•5mo ago
Just because a word is "in the dictionary" doesn't make it English.

For example, we can all agree "schadenfreude" is not an English word, but it's in the dictionary.

https://www.merriam-webster.com/dictionary/schadenfreude

There is no English word for "pleasure derived by someone from another person's misfortune". Yes, we can borrow from German; that doesn't make it suddenly become English.

shkkmo•5mo ago
> For example, we can all agree "schadenfreude" is not an English word, but it's in the dictionary.

I don't agree.

> Yes, we can borrow from German; that doesn't make it suddenly become English.

It doesn't suddenly become English. It happens gradually as more English speakers encounter the word and start using the word.

Dictionaries start adding the word as usage becomes widespread. If a borrowed word is frequently used in an English context by English speakers and is understood by English speakers and that is widespread enoythat it is listed in English dictionaries...it is pretty safe to say that the word is part of the English language.

While I do speak German, I learned the English word "schadenfruede" well before I started studying any German. Similarly, I don't speak any Russian but I know what "kefir" means. I didn't learn it from a Russian, I learned it from other English speakers in the course of speaking English about 20 years ago. In fact, I didn't even know that word originally came from Russian until very recently.

Part of why English is so hard to learn for non-native speakers is because it is full of loan words from lots if languages. Many of them you probably don't even realize originally came from other languages.

jibal•5mo ago
So what is "kefir" in English?
tantalor•5mo ago
English doesn't have a word for that, hence the loanword.
jibal•5mo ago
My question was rhetorical. The point is that the English word for "kefir" is "kefir". So English does have a word for that.

shkkmo stated the situation well and nothing you wrote in response refuted anything they said. You say "Just because a word is "in the dictionary" doesn't make it English" but that's not true, as they explained. Virtually the entirety of the English language is "loaned" from somewhere. From the Merriam-Webster definition of schadenfreude: "In English, the word was used mostly by academics until the early 1990s, when it was introduced to more general audiences via pop culture."

You say "that doesn't make it suddenly become English" -- indeed, it wasn't sudden. The word did not always appear in English language dictionaries. It was added when it became recognized as having been incorporated into English--lexicographers are conservative and lag behind actual usage.

Anyway, I'm not going to recreate the entire prescriptive/descriptive debate in linguistics here, especially since "kefir" and "schadenfreude" are English words on both grounds. Enough said.

LPisGood•5mo ago
Which 6 words did NYT remove?
chriskw•5mo ago
You can check the diff on the file wordlist_hidden here: https://github.com/alex1770/wordle/commit/85c4a7e6
jibal•5mo ago
agora fibre lynch pupal slave wench
ghaff•5mo ago
Not sure why pupal or agora would be removed. Fibre isn't common US spelling though that doesn't really seem to stop Wordle for other purposes. The other three I can see the Times removing them just because they may trigger controversy.
cheschire•5mo ago
I wonder if model synthesis (wave function collapse) would be more or less efficient.

https://en.m.wikipedia.org/wiki/Model_synthesis

https://www.rserra.it/solving-hardest-sudoku/

chriskw•5mo ago
I could see it being handy to estimate probability where each word is to better inform each guess. The tricky thing is I'm not sure if each run of wave function collapse (with randomness injected) would be an accurate sampling method for the real distribution of possible permutations. While doing this writeup I tried to find ways to analyze permutations with restriction, but it turns out most general methods are pretty intractable: https://en.wikipedia.org/wiki/Permanent_(mathematics)#Enumer...
qingcharles•5mo ago
ChatGPT Agent is pretty good at playing Wordle. It's banned from the official version, but it'll play the knock-off ones just fine for you.
ktallett•5mo ago
What's the point? You play these games to improve your own mind, or for your own enjoyment.
contravariant•5mo ago
No you see chatgpt is doing the thinking for us now, instead of using your own brain to struggle with a puzzle that is trivial to solve for a simple algorithm you can let a language model struggle with it for you! You get all of the enjoyment from solving a puzzle with an inefficient overly complicated general purpose solver, without needing to put in any work yourself!
lemmsjid•5mo ago
I enjoy wordle and wouldn’t automate it to replace my play. I also enjoy techie people demonstrating that you can automate X with Y tool. That’s another form of problem solving. Can’t those enjoyments exist simultaneously?
renewiltord•5mo ago
Same as the point in watching dog play with ball. You can also play with ball for enjoyment but sometimes the enjoyment is in seeing the limits of something else.
goopypoop•5mo ago
It's like breeding a dog to have fingers so it can unplug your life support
renewiltord•5mo ago
Enjoyment comes from it autonomously choosing to do so.

Look at little jeepeety, so cute.

ktallett•5mo ago
Is playing a variation of hangman really the limits of an LLM as if so we have vastly over estimated it's usefulness? It isn't a particularly challenging game? for humans, let alone a model that can use data and stats to analyse possibilities and probabilities.
renewiltord•5mo ago
I watched a cat fall over. It was amusing. This is clearly the limits of cats and we have vastly over estimated their usefulness. I am truly wise.
qingcharles•5mo ago
It was just a bit of fun to test the model, see what it could do :) But still, more people watch football than play football, right? ;)
oliwary•5mo ago
Fun analysis! I run https://squareword.org, which has 5x5 letters featuring words both down and across. Guesses are applied to the horizontal words, but the vertical words can be used as support, a bit like in Sudoku.

I wonder how the analysis would work here - since the verticals form words as well I think you get a lot more information from each guess. Many players can now solve them consistently in 6 or 7 guesses.