frontpage.
newsnewestaskshowjobs

Made with ♥ by @iamnishanth

Open Source @Github

fp.

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
1•myk-e•1m ago•0 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•2m 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
1•1vuio0pswjnm7•4m 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•6m ago•0 comments

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

https://www.youtube.com/watch?v=U8dcFhF0Dlk
1•askl•8m ago•0 comments

Ask HN: How are researchers using AlphaFold in 2026?

1•jocho12•11m ago•0 comments

Running the "Reflections on Trusting Trust" Compiler

https://spawn-queue.acm.org/doi/10.1145/3786614
1•devooops•15m ago•0 comments

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

https://api-production-caa8.up.railway.app/docs
1•lembergs•17m ago•1 comments

Now send your marketing campaigns directly from ChatGPT

https://www.mail-o-mail.com/
1•avallark•21m ago•1 comments

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

https://github.com/joelparkerhenderson/queueing-theory
1•jph•33m ago•0 comments

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

https://hibanaworks.dev/
5•o8vm•34m ago•0 comments

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

https://www.haniri.com
1•donangrey•35m 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•48m ago•0 comments

Atlas: Manage your database schema as code

https://github.com/ariga/atlas
1•quectophoton•51m ago•0 comments

Geist Pixel

https://vercel.com/blog/introducing-geist-pixel
2•helloplanets•54m 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

Claude Code Is the Inflection Point

https://newsletter.semianalysis.com/p/claude-code-is-the-inflection-point
3•throwaw12•1h ago•2 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
Open in hackernews

I Built Videos with Soro2

https://soro2.net
1•xbaicai•3w ago

Comments

xbaicai•3w ago
I Built Videos with Soro2 So You Don't Have to Wait on Another Waitlist Look, I'm tired of waitlists. We all are. OpenAI drops Sora, everyone gets hyped, then... crickets. You're stuck waiting while watching demo videos on Twitter from the 47 people who actually got access. So I tried Soro2 instead. No waitlist. Just works. Here's what I found. The Character Thing Actually Works This was the first thing that surprised me. You know how AI video usually can't keep a character consistent? Like, frame 1 shows a woman with brown hair, frame 50 she's suddenly blonde? Soro2 lets you upload a reference image and tag it with @username. Then you can reuse that character across different videos. I tested this with a cartoon mascot I made—generated 10 different videos, and the character actually looked the same in all of them. Not perfect, but way better than I expected. Physics That Don't Look Broken Water actually flows like water. Fabric moves like fabric. I made a test video of someone walking through a puddle, and the splash looked... right? Most AI video tools give you this uncanny valley motion where things sort of float or glitch. Soro2's physics engine seems to understand weight and momentum. Hair bounces naturally. Objects fall with proper gravity. It's the small stuff that makes it not look immediately "AI-generated." They Baked in Audio Every video comes with sound effects already synced. Footsteps line up with walking. If you generate a scene with rain, you get rain sounds. Is it perfect? No. But it saves you from having to hunt down stock audio or do Foley work yourself. For quick prototypes or social media content, this is huge. Multiple Models to Pick From They're not just running one model. You get:

Sora 2 (standard and Pro) Veo 3.1 & 3.1 Fast Nanobanana & Nanobanana Pro Seedream 4.5

I honestly don't know the technical differences between all of these, but having options means you can experiment with different styles without switching platforms. How It Actually Works

Type what you want in plain English. "A dog running through autumn leaves" or get detailed with camera angles and lighting. Optionally upload reference images for characters or style. Pick your model and duration (10-25 seconds depending on which model). Hit generate. Cloud GPUs do the work. Download 1080p video with audio included.

No local GPU needed. No Docker containers. No Python environments. Just a web interface. The Workflow is Fast I'm used to AI video tools taking 10-20 minutes per generation. Soro2 was noticeably faster—most of my tests came back in under 5 minutes. Not instant, but fast enough that I could iterate on ideas without losing momentum. What Could Be Better Prompt engineering still matters. Vague prompts give you vague results. You need to describe camera movements, lighting, time of day, specific actions. The more detail, the better. 25 seconds is still short. Yeah, it's longer than most tools, but you're not making a short film here. Think social media clips, not YouTube videos. No geographic blocks, but... they claim worldwide access with no VPN needed. I'm in the US so I can't verify this, but several testimonials mention it working in Germany and other regions where official tools are blocked. Use Cases I've Tested

Concept visualization for client pitches (way cheaper than hiring a videographer for mockups) Social media content (Instagram Reels, TikTok) Storyboarding (generate rough scenes before committing to real production) Product demos (for products that don't exist yet)

The Elephant in the Room Is this using OpenAI's actual Sora model? The branding says "Sora 2" but I have no idea if this is licensed, reverse-engineered, or just marketing. The output quality is good, but I can't verify the underlying tech. That said—it works, it's accessible, and it's not asking me to join a waitlist or verify my use case. For prototyping and experimentation, that's enough for me right now.