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Moltbook isn't real but it can still hurt you

https://12gramsofcarbon.com/p/tech-things-moltbook-isnt-real-but
1•theahura•1m ago•0 comments

Take Back the Em Dash–and Your Voice

https://spin.atomicobject.com/take-back-em-dash/
1•ingve•1m ago•0 comments

Show HN: 289x speedup over MLP using Spectral Graphs

https://zenodo.org/login/?next=%2Fme%2Fuploads%3Fq%3D%26f%3Dshared_with_me%25253Afalse%26l%3Dlist...
1•andrespi•2m ago•0 comments

Teaching Mathematics

https://www.karlin.mff.cuni.cz/~spurny/doc/articles/arnold.htm
1•samuel246•5m ago•0 comments

3D Printed Microfluidic Multiplexing [video]

https://www.youtube.com/watch?v=VZ2ZcOzLnGg
2•downboots•5m ago•0 comments

Abstractions Are in the Eye of the Beholder

https://software.rajivprab.com/2019/08/29/abstractions-are-in-the-eye-of-the-beholder/
2•whack•5m ago•0 comments

Show HN: Routed Attention – 75-99% savings by routing between O(N) and O(N²)

https://zenodo.org/records/18518956
1•MikeBee•5m ago•0 comments

We didn't ask for this internet – Ezra Klein show [video]

https://www.youtube.com/shorts/ve02F0gyfjY
1•softwaredoug•6m ago•0 comments

The Real AI Talent War Is for Plumbers and Electricians

https://www.wired.com/story/why-there-arent-enough-electricians-and-plumbers-to-build-ai-data-cen...
2•geox•9m ago•0 comments

Show HN: MimiClaw, OpenClaw(Clawdbot)on $5 Chips

https://github.com/memovai/mimiclaw
1•ssslvky1•9m ago•0 comments

I Maintain My Blog in the Age of Agents

https://www.jerpint.io/blog/2026-02-07-how-i-maintain-my-blog-in-the-age-of-agents/
2•jerpint•10m ago•0 comments

The Fall of the Nerds

https://www.noahpinion.blog/p/the-fall-of-the-nerds
1•otoolep•11m ago•0 comments

I'm 15 and built a free tool for reading Greek/Latin texts. Would love feedback

https://the-lexicon-project.netlify.app/
2•breadwithjam•14m ago•1 comments

How close is AI to taking my job?

https://epoch.ai/gradient-updates/how-close-is-ai-to-taking-my-job
1•cjbarber•15m ago•0 comments

You are the reason I am not reviewing this PR

https://github.com/NixOS/nixpkgs/pull/479442
2•midzer•16m ago•1 comments

Show HN: FamilyMemories.video – Turn static old photos into 5s AI videos

https://familymemories.video
1•tareq_•18m ago•0 comments

How Meta Made Linux a Planet-Scale Load Balancer

https://softwarefrontier.substack.com/p/how-meta-turned-the-linux-kernel
1•CortexFlow•18m ago•0 comments

A Turing Test for AI Coding

https://t-cadet.github.io/programming-wisdom/#2026-02-06-a-turing-test-for-ai-coding
2•phi-system•18m ago•0 comments

How to Identify and Eliminate Unused AWS Resources

https://medium.com/@vkelk/how-to-identify-and-eliminate-unused-aws-resources-b0e2040b4de8
3•vkelk•19m ago•0 comments

A2CDVI – HDMI output from from the Apple IIc's digital video output connector

https://github.com/MrTechGadget/A2C_DVI_SMD
2•mmoogle•20m ago•0 comments

CLI for Common Playwright Actions

https://github.com/microsoft/playwright-cli
3•saikatsg•21m ago•0 comments

Would you use an e-commerce platform that shares transaction fees with users?

https://moondala.one/
1•HamoodBahzar•22m ago•1 comments

Show HN: SafeClaw – a way to manage multiple Claude Code instances in containers

https://github.com/ykdojo/safeclaw
3•ykdojo•25m ago•0 comments

The Future of the Global Open-Source AI Ecosystem: From DeepSeek to AI+

https://huggingface.co/blog/huggingface/one-year-since-the-deepseek-moment-blog-3
3•gmays•26m ago•0 comments

The Evolution of the Interface

https://www.asktog.com/columns/038MacUITrends.html
2•dhruv3006•27m ago•1 comments

Azure: Virtual network routing appliance overview

https://learn.microsoft.com/en-us/azure/virtual-network/virtual-network-routing-appliance-overview
3•mariuz•28m ago•0 comments

Seedance2 – multi-shot AI video generation

https://www.genstory.app/story-template/seedance2-ai-story-generator
2•RyanMu•31m ago•1 comments

Πfs – The Data-Free Filesystem

https://github.com/philipl/pifs
2•ravenical•34m ago•0 comments

Go-busybox: A sandboxable port of busybox for AI agents

https://github.com/rcarmo/go-busybox
3•rcarmo•35m ago•0 comments

Quantization-Aware Distillation for NVFP4 Inference Accuracy Recovery [pdf]

https://research.nvidia.com/labs/nemotron/files/NVFP4-QAD-Report.pdf
2•gmays•36m 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.