frontpage.
newsnewestaskshowjobs

Made with ♥ by @iamnishanth

Open Source @Github

fp.

Big Tech's AI Push Is Costing More Than the Moon Landing

https://www.wsj.com/tech/ai/ai-spending-tech-companies-compared-02b90046
1•1vuio0pswjnm7•56s ago•0 comments

The AI boom is causing shortages everywhere else

https://www.washingtonpost.com/technology/2026/02/07/ai-spending-economy-shortages/
1•1vuio0pswjnm7•2m ago•0 comments

Suno, AI Music, and the Bad Future [video]

https://www.youtube.com/watch?v=U8dcFhF0Dlk
1•askl•4m ago•0 comments

Ask HN: How are researchers using AlphaFold in 2026?

1•jocho12•7m ago•0 comments

Running the "Reflections on Trusting Trust" Compiler

https://spawn-queue.acm.org/doi/10.1145/3786614
1•devooops•12m ago•0 comments

Watermark API – $0.01/image, 10x cheaper than Cloudinary

https://api-production-caa8.up.railway.app/docs
1•lembergs•14m ago•1 comments

Now send your marketing campaigns directly from ChatGPT

https://www.mail-o-mail.com/
1•avallark•17m ago•1 comments

Queueing Theory v2: DORA metrics, queue-of-queues, chi-alpha-beta-sigma notation

https://github.com/joelparkerhenderson/queueing-theory
1•jph•29m ago•0 comments

Show HN: Hibana – choreography-first protocol safety for Rust

https://hibanaworks.dev/
5•o8vm•31m ago•0 comments

Haniri: A live autonomous world where AI agents survive or collapse

https://www.haniri.com
1•donangrey•31m ago•1 comments

GPT-5.3-Codex System Card [pdf]

https://cdn.openai.com/pdf/23eca107-a9b1-4d2c-b156-7deb4fbc697c/GPT-5-3-Codex-System-Card-02.pdf
1•tosh•44m ago•0 comments

Atlas: Manage your database schema as code

https://github.com/ariga/atlas
1•quectophoton•47m ago•0 comments

Geist Pixel

https://vercel.com/blog/introducing-geist-pixel
2•helloplanets•50m ago•0 comments

Show HN: MCP to get latest dependency package and tool versions

https://github.com/MShekow/package-version-check-mcp
1•mshekow•58m ago•0 comments

The better you get at something, the harder it becomes to do

https://seekingtrust.substack.com/p/improving-at-writing-made-me-almost
2•FinnLobsien•59m ago•0 comments

Show HN: WP Float – Archive WordPress blogs to free static hosting

https://wpfloat.netlify.app/
1•zizoulegrande•1h ago•0 comments

Show HN: I Hacked My Family's Meal Planning with an App

https://mealjar.app
1•melvinzammit•1h ago•0 comments

Sony BMG copy protection rootkit scandal

https://en.wikipedia.org/wiki/Sony_BMG_copy_protection_rootkit_scandal
2•basilikum•1h ago•0 comments

The Future of Systems

https://novlabs.ai/mission/
2•tekbog•1h ago•1 comments

NASA now allowing astronauts to bring their smartphones on space missions

https://twitter.com/NASAAdmin/status/2019259382962307393
2•gbugniot•1h ago•0 comments

Claude Code Is the Inflection Point

https://newsletter.semianalysis.com/p/claude-code-is-the-inflection-point
3•throwaw12•1h ago•1 comments

Show HN: MicroClaw – Agentic AI Assistant for Telegram, Built in Rust

https://github.com/microclaw/microclaw
1•everettjf•1h ago•2 comments

Show HN: Omni-BLAS – 4x faster matrix multiplication via Monte Carlo sampling

https://github.com/AleatorAI/OMNI-BLAS
1•LowSpecEng•1h ago•1 comments

The AI-Ready Software Developer: Conclusion – Same Game, Different Dice

https://codemanship.wordpress.com/2026/01/05/the-ai-ready-software-developer-conclusion-same-game...
1•lifeisstillgood•1h ago•0 comments

AI Agent Automates Google Stock Analysis from Financial Reports

https://pardusai.org/view/54c6646b9e273bbe103b76256a91a7f30da624062a8a6eeb16febfe403efd078
1•JasonHEIN•1h ago•0 comments

Voxtral Realtime 4B Pure C Implementation

https://github.com/antirez/voxtral.c
2•andreabat•1h ago•1 comments

I Was Trapped in Chinese Mafia Crypto Slavery [video]

https://www.youtube.com/watch?v=zOcNaWmmn0A
2•mgh2•1h ago•1 comments

U.S. CBP Reported Employee Arrests (FY2020 – FYTD)

https://www.cbp.gov/newsroom/stats/reported-employee-arrests
1•ludicrousdispla•1h ago•0 comments

Show HN: I built a free UCP checker – see if AI agents can find your store

https://ucphub.ai/ucp-store-check/
2•vladeta•1h ago•1 comments

Show HN: SVGV – A Real-Time Vector Video Format for Budget Hardware

https://github.com/thealidev/VectorVision-SVGV
1•thealidev•1h ago•0 comments
Open in hackernews

Ask HN: What app features actually help vocabulary stick long-term?

2•hussein-khalil•1mo ago
I want to thank everyone who commented on my previous Ask HN post about building a calm, non-gamified learning app.

I read through all the comments, and one theme kept coming up again and again: Most people don’t struggle with starting language learning — they struggle with making vocabulary actually stick long-term.

Streaks, flashcards, progress bars, and “feeling productive” came up a lot. But so did frustration: people doing everything “right” for months, yet forgetting words when they actually need them.

So I’d like to zoom out and ask a more fundamental question:

For those who learned a language seriously — what actually helped vocabulary stick long-term?

• Was it audio? • Personal sentences? • Immersion? • Writing? • Teaching others? • Something else entirely?

Related to that, I’m curious about something else:

Why do people stop using language learning apps, even when they genuinely want to learn? Is it motivation, friction, lack of personal relevance, or something else?

And more broadly — do you think tools that let learners fully control their own content (words, sentences, context) and turn that content into audio they can listen to regularly actually help with long-term retention?

I’m especially interested in what worked after the initial motivation wore off.

Comments

vunderba•1mo ago
Unless you’ve got an eidetic memory, the only things that will really make them stick long-term are consistent reinforcement either through practical application (e.g., immersion) or spaced repetition (SRS).

I personally take the time to create visual and often highly inappropriate mnemonics for each new vocabulary word I learn, connecting the foreign language’s sound to an English homophone.

The upfront cost is significantly higher, but it pays off since my long-term retention rate significantly improves though you won't see me publishing a shared Anki deck for the public any time soon.

Quick SFW Example: The Russian word for "bed" is "кровать" which sounds a bit like cravat which is a kind of scarf.

Then a sample story might be, "A distinguished and dapper gentleman with a luxuriously thick fur cravat lays down in his bed. He proceeds to unroll the cravat to fashion a comforter blanket to keep him warm before going to sleep."

hussein-khalil•1mo ago
This makes a lot of sense. I really like the point about the upfront cognitive cost that matches my own experience too.

What you’re describing feels very close to why “personal” content sticks better: the story, the emotion, and the effort are all doing the heavy lifting, not the tool itself.

vunderba•1mo ago
Yeah the personal part makes a huge difference. I experimented with automating LLM generated mnemonics about a year ago but when I shopped it around with a couple of friends for internal testing, we found that it wasn't nearly as effective as when they came up with the stories themselves.