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Start all of your commands with a comma (2009)

https://rhodesmill.org/brandon/2009/commands-with-comma/
289•theblazehen•2d ago•95 comments

Software Engineering Is Back

https://blog.alaindichiappari.dev/p/software-engineering-is-back
20•alainrk•1h ago•11 comments

Hoot: Scheme on WebAssembly

https://www.spritely.institute/hoot/
34•AlexeyBrin•1h ago•5 comments

Reinforcement Learning from Human Feedback

https://arxiv.org/abs/2504.12501
15•onurkanbkrc•1h ago•1 comments

OpenCiv3: Open-source, cross-platform reimagining of Civilization III

https://openciv3.org/
717•klaussilveira•16h ago•218 comments

The Waymo World Model

https://waymo.com/blog/2026/02/the-waymo-world-model-a-new-frontier-for-autonomous-driving-simula...
978•xnx•21h ago•562 comments

Vocal Guide – belt sing without killing yourself

https://jesperordrup.github.io/vocal-guide/
94•jesperordrup•6h ago•35 comments

France's homegrown open source online office suite

https://github.com/suitenumerique
4•nar001•34m ago•2 comments

Making geo joins faster with H3 indexes

https://floedb.ai/blog/how-we-made-geo-joins-400-faster-with-h3-indexes
138•matheusalmeida•2d ago•36 comments

Unseen Footage of Atari Battlezone Arcade Cabinet Production

https://arcadeblogger.com/2026/02/02/unseen-footage-of-atari-battlezone-cabinet-production/
74•videotopia•4d ago•11 comments

Ga68, a GNU Algol 68 Compiler

https://fosdem.org/2026/schedule/event/PEXRTN-ga68-intro/
16•matt_d•3d ago•4 comments

What Is Ruliology?

https://writings.stephenwolfram.com/2026/01/what-is-ruliology/
46•helloplanets•4d ago•46 comments

Show HN: Look Ma, No Linux: Shell, App Installer, Vi, Cc on ESP32-S3 / BreezyBox

https://github.com/valdanylchuk/breezydemo
242•isitcontent•16h ago•27 comments

Monty: A minimal, secure Python interpreter written in Rust for use by AI

https://github.com/pydantic/monty
242•dmpetrov•16h ago•128 comments

Cross-Region MSK Replication: K2K vs. MirrorMaker2

https://medium.com/lensesio/cross-region-msk-replication-a-comprehensive-performance-comparison-o...
4•andmarios•4d ago•1 comments

Show HN: I spent 4 years building a UI design tool with only the features I use

https://vecti.com
344•vecti•18h ago•153 comments

Hackers (1995) Animated Experience

https://hackers-1995.vercel.app/
510•todsacerdoti•1d ago•248 comments

Sheldon Brown's Bicycle Technical Info

https://www.sheldonbrown.com/
393•ostacke•22h ago•101 comments

Show HN: If you lose your memory, how to regain access to your computer?

https://eljojo.github.io/rememory/
309•eljojo•19h ago•192 comments

Microsoft open-sources LiteBox, a security-focused library OS

https://github.com/microsoft/litebox
361•aktau•22h ago•187 comments

An Update on Heroku

https://www.heroku.com/blog/an-update-on-heroku/
437•lstoll•22h ago•286 comments

The AI boom is causing shortages everywhere else

https://www.washingtonpost.com/technology/2026/02/07/ai-spending-economy-shortages/
32•1vuio0pswjnm7•2h ago•31 comments

PC Floppy Copy Protection: Vault Prolok

https://martypc.blogspot.com/2024/09/pc-floppy-copy-protection-vault-prolok.html
73•kmm•5d ago•11 comments

Was Benoit Mandelbrot a hedgehog or a fox?

https://arxiv.org/abs/2602.01122
26•bikenaga•3d ago•13 comments

Dark Alley Mathematics

https://blog.szczepan.org/blog/three-points/
98•quibono•4d ago•22 comments

How to effectively write quality code with AI

https://heidenstedt.org/posts/2026/how-to-effectively-write-quality-code-with-ai/
278•i5heu•19h ago•227 comments

Female Asian Elephant Calf Born at the Smithsonian National Zoo

https://www.si.edu/newsdesk/releases/female-asian-elephant-calf-born-smithsonians-national-zoo-an...
43•gmays•11h ago•14 comments

I now assume that all ads on Apple news are scams

https://kirkville.com/i-now-assume-that-all-ads-on-apple-news-are-scams/
1088•cdrnsf•1d ago•469 comments

Understanding Neural Network, Visually

https://visualrambling.space/neural-network/
312•surprisetalk•3d ago•45 comments

Delimited Continuations vs. Lwt for Threads

https://mirageos.org/blog/delimcc-vs-lwt
36•romes•4d ago•3 comments
Open in hackernews

Show HN: Anki-LLM – Bulk process and generate Anki flashcards with LLMs

https://github.com/raine/anki-llm
60•rane•3mo ago

Comments

rahimnathwani•3mo ago
I love this. Two things I noticed and liked:

- the README is extremely detailed and clear: all the commands are explained with examples and the why to use each one

- you're using Anki Connect to edit decks in-place, instead of trying to edit or generate an apkg file. This simplifies things and avoids issues such as needing to create custom note types or avoiding creating two note types with the same field

When my son and I have discussed a topic in response to a question, ideally I would evaluate whether there's something he should remember forever and, if so, I would create one or more Anki notes for that piece of knowledge. But right now it's too much effort, unless I'm at my desk. Even then, I need to copy and paste card fields from a chat interface into the Anki UI. That means I rarely do it.

treetalker•3mo ago
I'm always apprehensive about "efficiencies" like this because the process of generating the cards contributes substantially to the learning and memory formation.

Can anyone help me understand the opposing view better?

jbstack•3mo ago
I completely agree with your first statement and I try to hand-generate my cards as much as possible.

On the other hand, hand-generation is very time intensive. Having some kind of Anki card for a topic you need to memorise is better than having nothing at all. If LLMs help you write cards that you wouldn't otherwise get around to writing then it can be worth it.

As an example, I've always found Anki really effective for my language learning. But the bottleneck was always finding the time to find good quality sentences from sources like grammar books and then creating the cards. Now I ask ChatGPT to generate me a whole bunch of example sentences for a particular topic or grammar point that I want to master, and I bulk import them into Anki in one go then use AwesomeTTS to create the audio. These cards feel less personal to me because I've lost the benefit of having put in the hard work of creating them myself from source materials. But that's more than made up for by the fact that I'm now progressing through the topics I need to learn at a much faster speed. I'd rather know 1000 words reasonably well than 200 words very well.

After a few repetitions I don't think there's much difference anyway between a card you generated yourself and one you didn't - the SRS algorithm sorts it out for you in the end. The AI generated one might just need a few more reviews/fails/hards to get to the same level of memorisation.

EDIT: I should add that I don't blindly trust ChatGPT's output. My wife is a native speaker for one of the languages, so I always have her check the cards. For my other language, I run the sentences past several other LLM models and I only keep those that all of them agree are correct and idiomatic.

watwut•3mo ago
> But the bottleneck was always finding the time to find good quality sentences from sources like grammar books and then creating the cards.

I solve that bottleneck be seeking better books, documentaries and movies.

Then I skip the flashcards step.

sn9•3mo ago
But then your bottleneck is just how quickly you can learn, which is what flashcards and spaced repetition address.
watwut•3mo ago
Spaced repetition works, but I can get that by seeing the same words repeatedly in in books or shows. I do not need precise calculated intervals over which exact word will appear when.

I found flashcards super ineffective for making myself to actually learn. And at times contra productive and brain numbing. I now see them as part of the same weird cultural instinct people today have - feeling like everything needs to be made as dry and uninteresting as possible, else it is not sufficient test or will (or something).

jbstack•3mo ago
The problem with that approach is that adult second-language learners generally don't put in the same amount of time or access the same breadth of material as a baby learning it's mother tongue. Every word has a frequency with which it appears. A child will come across almost all words a sufficient number of times to eventually memorise them, because they are totally immersed in the language every hour of every day. As an adult learning a second language, unless I'm living in the target country in a fully immersive way (which for me isn't the case), then by consuming 30-60 minutes of media a day (which is my upper limit of what I can realistically achieve) I'm going to get strong exposure to high-frequency words and grammar patterns, and weak exposure to low-frequency ones. Many of those at the bottom end will be so weak that the occasional exposure I get simply isn't enough for me to attain fluency with them. Anki solves this problem: all words you learn via flashcards have a (roughly) equal chance of being remembered, independent of their frequency.

Anki also allows you to take long breaks from learning. If I go a year without learning any new material, provided I keep up my reviews (which significantly diminish in duration the longer you go without new cards), I'll pretty much be able to pick things up again where I left off. That doesn't work so well with other methods because you will forget a lot.

Flashcards are a lot more efficient in terms of number of minutes spent per word. For example, Skritter tells me that I spend an average of 1.78 minute learning how to write a word with Chinese characters. Aside from the fact that I wouldn't practice writing at all if I just consumed books/films, I'd also spend a lot more time that way as I'd constantly be stopping to look characters up in a dictionary and/or googling the grammar points every time I forget.

I take your point that you find Anki boring but that's highly subjective. I actually find it very satisfying and rewarding, almost as if I'm downloading information into my brain Matrix-style (just slower). There's a sense that whatever knowledge I put in Anki is mine to keep forever. In ~10 years of language learning, Anki is the one thing that I've most consistently kept up with. Your claim that it's a "weird cultural instinct [to make everything] as dry and uninteresting as possible" is false consensus bias - you're projecting your own feelings onto others who don't necessarily share those feelings, and therefore assuming everyone else must find it boring too.

Anki is also more suitable for beginners than books/shows. Realistically, you can't read a book or watch a movie when you are just starting. Everything will be so incomprehensible that the effort of having to stop to look things up will be overwhelming and tedious. Anki on the other hand can be started from your very first word or sentence.

For me personally, I neither like to dismiss nor focus too much on any one method. I've always learnt best when I put effort into multiple different methods: Anki, books, audio, apps, TV, real life practice, etc. This also helps to keep things fresh and interesting.

utopiah•3mo ago
100%, in fact it's like when you write a "cheatsheet" only to realize that now that you did dedicate some time to

- write down what is important

- present it in a condensed manner

- verify that it does indeed cover only the topic you need

... then ironically enough you probably do not need it anymore.

arcanemachiner•3mo ago
In that case, you may be able to upload the deck for others to benefit from.
xdfgh1112•3mo ago
I have 15k learned. It's a question of timing. Can time spent making the card outweigh time saved learning it? I would say yes. It's easy to spend too long making a single card. A compromise is to make a small card at first and improve it whenever you fail it.

Personally I need some context in a card to hook it up to other things. Such as the sentence where I first encountered it. Without that I will often fail the card over and over and waste time - it would have been quicker to put some effort upfront making a decent card.

xdfgh1112•3mo ago
There is also a meta level investment in your deck that comes from curating it by hand, and that pays off in long term motivation AND improves recall.

I'm sure some people can knuckle down and learn an LLM deck with random words, but they'd be a minority.

atahanacar•3mo ago
>improves recall

Citation needed.

atahanacar•3mo ago
> the process of generating the cards contributes substantially to the learning and memory formation.

How is creating a card anything different than reviewing the card once? Anki is a long term tool, writing something down once isn't. The time spent creating cards is better spent on doing more reviews.

treetalker•3mo ago
At the risk of sounding glib, the first way that comes to mind is that the learner is using their own intellect and (short-term) memory to code the information into their own words (often or usually entailing at least some self-checking and critique) instead of merely "reviewing" (really, seeing for the first time) an unfamiliar association of prompt and response, which was generated by a stochastic program, and which may not be correct at all.
siva7•3mo ago
Try it and you will see why ;) This is a classic beginner mistake. In most cases, you are not only reviewing the card but also trying to learn something new in a random nonsensical order which you haven't mastered yet - that doesn't work.
jbstack•3mo ago
There is actually scientific evidence that direct engagement with material (e.g. making notes, re-writing in your own words, completing exercises, explaining it to others, etc.) is very beneficial to memory formation.

So, although creating a card is similar to reviewing it once (in that they will both help you remember it for a while), the former is worth more than the latter as a "unit" of memorisation. This means that you'll likely have longer review intervals, and therefore spend less time on reviews, if you wrote the card yourself, because the memory starts out stronger.

That has to be balanced of course with the amount of time you spend writing the card vs the gains you make in saved review time from having done so.

rsanek•3mo ago
Making notes and re-writing in your own words have actually been found to not be very useful to memory formation [1]. Completing exercises works great: this corresponds to reviewing cards. Explaining it to others also works OK, but I'm not sure if creating cards is analagous to that.

[1] https://www.whz.de/fileadmin/lehre/hochschuldidaktik/docs/du...

sn9•3mo ago
This only works if you actually check the Anki cards against the source material.

So if you wanted to learn the contents of a book without reading it, you're doing it wrong.

If you want to read a book and then test yourself on what you've read, it's totally fine.

fledgexu•3mo ago
I totally agree with you.
ATMLOTTOBEER•3mo ago
There’s no opposing view you’re just right. Also having a lot of Anki cards is bad, regardless of the fact that the reviews become less frequent as time goes on. You want as few cards as possible with as high a quality standard as you can get. With a few thousand cards it’s very easy to get into a cycle of spending a half hour or more per day doing reviews.
thomascountz•3mo ago
I'm curious about the effect of "hand writing" a card for spaced repetition. It sure feels like it helps me learn more effectively when I write high-quality cards myself, but n=1 in this case. Even when I use an LLM to help, I have never find the cards to be useful by default—same goes for trying to use other's decks.

That said, what I'd really love is a better card writing UI. If I could simply edit the table when in the browse view instead of opening the form view, that'd be a big step up!

nobs_bs•3mo ago
Awesome, I was thinking of building something like this for myself but less automated. Basically, generate language flashcards for a given set of words and phrases. The automation part is the translation and the upload. It this might do it.
msafi04•3mo ago
This is a fantastic toolkit, and the discussion in the comments about the learning benefits of manual creation is spot-on.

I think the real killer feature here isn't just bulk-generating new cards, but enriching existing, manually-created ones.

My ideal workflow would be:

Manually create a basic card when I encounter a new word (e.g., the word and the sentence I found it in). This preserves that crucial "moment of discovery" and initial learning. Once a week or so, run anki-llm as a batch process on all new cards to add powerful, context-rich fields like: etymology, common collocations, or subtle nuance (vs. a similar word). This way, you get the best of both worlds: the initial learning from manual creation, followed by automated enrichment that would be too tedious to do by hand. Really powerful stuff, great work!