frontpage.
newsnewestaskshowjobs

Made with ♥ by @iamnishanth

Open Source @Github

fp.

We interfaced single-threaded C++ with multi-threaded Rust

https://antithesis.com/blog/2026/rust_cpp/
1•lukastyrychtr•1m ago•0 comments

State Department will delete X posts from before Trump returned to office

https://text.npr.org/nx-s1-5704785
1•derriz•1m ago•0 comments

AI Skills Marketplace

https://skly.ai
1•briannezhad•1m ago•1 comments

Show HN: A fast TUI for managing Azure Key Vault secrets written in Rust

https://github.com/jkoessle/akv-tui-rs
1•jkoessle•1m ago•0 comments

eInk UI Components in CSS

https://eink-components.dev/
1•edent•2m ago•0 comments

Discuss – Do AI agents deserve all the hype they are getting?

1•MicroWagie•5m ago•0 comments

ChatGPT is changing how we ask stupid questions

https://www.washingtonpost.com/technology/2026/02/06/stupid-questions-ai/
1•edward•6m ago•0 comments

Zig Package Manager Enhancements

https://ziglang.org/devlog/2026/#2026-02-06
2•jackhalford•7m ago•1 comments

Neutron Scans Reveal Hidden Water in Martian Meteorite

https://www.universetoday.com/articles/neutron-scans-reveal-hidden-water-in-famous-martian-meteorite
1•geox•8m ago•0 comments

Deepfaking Orson Welles's Mangled Masterpiece

https://www.newyorker.com/magazine/2026/02/09/deepfaking-orson-welless-mangled-masterpiece
1•fortran77•10m ago•1 comments

France's homegrown open source online office suite

https://github.com/suitenumerique
3•nar001•12m ago•1 comments

SpaceX Delays Mars Plans to Focus on Moon

https://www.wsj.com/science/space-astronomy/spacex-delays-mars-plans-to-focus-on-moon-66d5c542
1•BostonFern•12m ago•0 comments

Jeremy Wade's Mighty Rivers

https://www.youtube.com/playlist?list=PLyOro6vMGsP_xkW6FXxsaeHUkD5e-9AUa
1•saikatsg•13m ago•0 comments

Show HN: MCP App to play backgammon with your LLM

https://github.com/sam-mfb/backgammon-mcp
2•sam256•15m ago•0 comments

AI Command and Staff–Operational Evidence and Insights from Wargaming

https://www.militarystrategymagazine.com/article/ai-command-and-staff-operational-evidence-and-in...
1•tomwphillips•15m ago•0 comments

Show HN: CCBot – Control Claude Code from Telegram via tmux

https://github.com/six-ddc/ccbot
1•sixddc•16m ago•1 comments

Ask HN: Is the CoCo 3 the best 8 bit computer ever made?

2•amichail•18m ago•1 comments

Show HN: Convert your articles into videos in one click

https://vidinie.com/
2•kositheastro•21m ago•0 comments

Red Queen's Race

https://en.wikipedia.org/wiki/Red_Queen%27s_race
2•rzk•21m ago•0 comments

The Anthropic Hive Mind

https://steve-yegge.medium.com/the-anthropic-hive-mind-d01f768f3d7b
2•gozzoo•24m ago•0 comments

A Horrible Conclusion

https://addisoncrump.info/research/a-horrible-conclusion/
1•todsacerdoti•24m ago•0 comments

I spent $10k to automate my research at OpenAI with Codex

https://twitter.com/KarelDoostrlnck/status/2019477361557926281
2•tosh•25m ago•1 comments

From Zero to Hero: A Spring Boot Deep Dive

https://jcob-sikorski.github.io/me/
1•jjcob_sikorski•25m ago•0 comments

Show HN: Solving NP-Complete Structures via Information Noise Subtraction (P=NP)

https://zenodo.org/records/18395618
1•alemonti06•30m ago•1 comments

Cook New Emojis

https://emoji.supply/kitchen/
1•vasanthv•33m ago•0 comments

Show HN: LoKey Typer – A calm typing practice app with ambient soundscapes

https://mcp-tool-shop-org.github.io/LoKey-Typer/
1•mikeyfrilot•36m ago•0 comments

Long-Sought Proof Tames Some of Math's Unruliest Equations

https://www.quantamagazine.org/long-sought-proof-tames-some-of-maths-unruliest-equations-20260206/
1•asplake•37m ago•0 comments

Hacking the last Z80 computer – FOSDEM 2026 [video]

https://fosdem.org/2026/schedule/event/FEHLHY-hacking_the_last_z80_computer_ever_made/
2•michalpleban•37m ago•0 comments

Browser-use for Node.js v0.2.0: TS AI browser automation parity with PY v0.5.11

https://github.com/webllm/browser-use
1•unadlib•38m ago•0 comments

Michael Pollan Says Humanity Is About to Undergo a Revolutionary Change

https://www.nytimes.com/2026/02/07/magazine/michael-pollan-interview.html
2•mitchbob•38m ago•1 comments
Open in hackernews

Wan 2.6 – Open-source AI video generator with native audio sync

https://wan26.io
1•xbaicai•2mo ago

Comments

xbaicai•2mo ago
The Problem Current AI video generators struggle with audio integration. Most tools generate silent videos, forcing creators to manually add and sync audio in post-production. This breaks the creative flow and adds hours of work. Even when audio is supported, lip-sync is often off, creating an uncanny valley effect.

What We Built Wan 2.6 is a multimodal AI platform that generates videos at 1080p resolution (24fps) with audio baked in from the start. Key features:

Text-to-video: Describe what you want, get a video with synchronized audio Image-to-video: Animate static images with motion and sound Native audio sync: Audio isn't added afterwards—it's generated as part of the video creation process Precise lip-sync: Character mouth movements match the audio naturally AI image generation: Create images when you need them for video inputs How It Works We're using a breakthrough approach where audio and visual generation happen in a unified pipeline rather than as separate steps. This allows the model to understand the relationship between sound and motion from the ground up, resulting in more natural synchronization.

The system runs at 1080p (full HD) at 24fps, which hits the sweet spot between quality and generation speed. We've optimized for realistic motion and coherent multi-shot storytelling—something earlier models struggled with.

Why Open Source? We believe generative AI works best when the community can inspect, improve, and build upon it. Making Wan 2.6 open-source means:

Transparency in how the model works Community contributions to improve quality Easier integration into creative workflows No vendor lock-in for creators Use Cases We've Seen Early users are creating:

Marketing videos from product descriptions Animated social media content Concept visualizations for pitches Educational content with narration Character animations with dialogue Technical Details The model is built on a multimodal architecture that processes text, image, and audio signals simultaneously. We're generating at 1080p resolution with 24fps frame rate, which provides cinematic quality while keeping generation times reasonable.

Try It Out The platform is live at https://wan26.io. We're offering free access to let people experiment and give us feedback. We'd love to hear what you think—especially if you run into edge cases or have ideas for improvements.

What's Next We're working on:

Longer video generation (currently optimized for shorter clips) More control over camera angles and scene composition Better handling of complex multi-character scenes API access for developers We'd love your feedback! What would you use this for? What features are missing? Any creative use cases we haven't thought of?

Questions we expect:

How does this compare to Runway/Pika/Sora? Our main differentiator is native audio sync. Most competitors generate silent videos or add audio as a post-process. We also prioritize being open-source.

What are the limitations? Like all AI video generators, we occasionally produce artifacts or inconsistent motion. Longer videos are harder to keep coherent. We're actively working on these.

Can I use this commercially? Yes, the open-source nature means you can use generated content in commercial projects (check our license for specifics).