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Economists vs. Technologists on AI

https://ideasindevelopment.substack.com/p/economists-vs-technologists-on-ai
1•econlmics•2m ago•0 comments

Life at the Edge

https://asadk.com/p/edge
1•tosh•8m ago•0 comments

RISC-V Vector Primer

https://github.com/simplex-micro/riscv-vector-primer/blob/main/index.md
2•oxxoxoxooo•11m ago•1 comments

Show HN: Invoxo – Invoicing with automatic EU VAT for cross-border services

2•InvoxoEU•12m ago•0 comments

A Tale of Two Standards, POSIX and Win32 (2005)

https://www.samba.org/samba/news/articles/low_point/tale_two_stds_os2.html
2•goranmoomin•16m ago•0 comments

Ask HN: Is the Downfall of SaaS Started?

3•throwaw12•17m ago•0 comments

Flirt: The Native Backend

https://blog.buenzli.dev/flirt-native-backend/
2•senekor•18m ago•0 comments

OpenAI's Latest Platform Targets Enterprise Customers

https://aibusiness.com/agentic-ai/openai-s-latest-platform-targets-enterprise-customers
1•myk-e•21m ago•0 comments

Goldman Sachs taps Anthropic's Claude to automate accounting, compliance roles

https://www.cnbc.com/2026/02/06/anthropic-goldman-sachs-ai-model-accounting.html
2•myk-e•23m ago•3 comments

Ai.com bought by Crypto.com founder for $70M in biggest-ever website name deal

https://www.ft.com/content/83488628-8dfd-4060-a7b0-71b1bb012785
1•1vuio0pswjnm7•24m ago•1 comments

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

https://www.wsj.com/tech/ai/ai-spending-tech-companies-compared-02b90046
3•1vuio0pswjnm7•26m ago•0 comments

The AI boom is causing shortages everywhere else

https://www.washingtonpost.com/technology/2026/02/07/ai-spending-economy-shortages/
2•1vuio0pswjnm7•28m ago•0 comments

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

https://www.youtube.com/watch?v=U8dcFhF0Dlk
1•askl•30m ago•2 comments

Ask HN: How are researchers using AlphaFold in 2026?

1•jocho12•33m ago•0 comments

Running the "Reflections on Trusting Trust" Compiler

https://spawn-queue.acm.org/doi/10.1145/3786614
1•devooops•38m ago•0 comments

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

https://api-production-caa8.up.railway.app/docs
1•lembergs•39m ago•1 comments

Now send your marketing campaigns directly from ChatGPT

https://www.mail-o-mail.com/
1•avallark•43m ago•1 comments

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

https://github.com/joelparkerhenderson/queueing-theory
1•jph•55m ago•0 comments

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

https://hibanaworks.dev/
5•o8vm•57m ago•1 comments

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

https://www.haniri.com
1•donangrey•57m 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•1h ago•0 comments

Atlas: Manage your database schema as code

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

Geist Pixel

https://vercel.com/blog/introducing-geist-pixel
2•helloplanets•1h ago•0 comments

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

https://github.com/MShekow/package-version-check-mcp
1•mshekow•1h 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•1h 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
Open in hackernews

Show HN: Built a conversational language learning app with Expo/WebGL/LLMs

https://convolive.com/
2•benjah•3mo ago
Could I get some opinions on my experiential learning language app?

When I learned Japanese with new friends, I didn't know how to ask where we were going or where the bathroom was. It was really motivating. As in-country immersion isn't option in most cases, language exchange is next best option. However, in-person language exchange can be expensive or difficult to schedule. So I built ConvoLive to make language practice more engaging for myself.

Open Beta on Android and iOS https://convolive.com

Technically interesting bits:

  - Lip-synced avatars using WebGL.
  - Continuous speech recognition on recent phone models so you don't have to press to speak
  - Using device speech recognition and caching assets means that most external LLM calls are limited to the free-form chat mode.
  - Unfortunately, on-device local LLM ended up being too demanding and slow.
  - GPT 4o provided better speed and results than GPT 5.
  - Multimodal quiz system with drag-and-drop, fill-in-the-blank, and multi-choice exercises
  - Freeform conversation gives you suggestions to keep the chat going, but you can also ask how to say something.
What works:

  - People seem to love or hate the avatars.
  - Testers are saying they feel more comfortable speaking.
  - The avatars aren't groundbreaking but they do make it feel less like talking to a chatbot.
  - Being able to speak freely without clicking seems more natural.
What doesn't:

  - People seem to love or hate the avatars.
  - As an app that promotes speaking out loud, people might be wary of speaking as a beginner outside their home.
  - The app might be better suited for people who already understand fundamentals like tenses or different alphabets which don't fit into a per conversation approach.
  - Newer better quality TTS models do not provide the viseme lip sync data I need for animation.
Currently supports Spanish, Japanese, Italian, German, Portuguese, and French.

Curious what other language learners here think – is this approach useful or do we not want to talk to our phones in broken Spanish? Should I keep working on this?

Comments

pickettd•3mo ago
Was the on-device local LLM stack that you tried llama.cpp or something like MLC? I've seen better performance with MLC than llama.cpp in the past - but it has been probably at a least a year since I tested iphones and androids for local inference
benjah•3mo ago
I looked into using https://github.com/mybigday/llama.rn. Ultimately, it was too slow to be conversational. The demands of the rendering the WebGL would likely not help.

It was a while ago. If I was to do it over again I might try https://github.com/tirthajyoti-ghosh/expo-llm-mediapipe. Maybe newer models will help.