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Two years ago I open-sourced KeyEcho, a small desktop app that plays a mechanical-keyboard sound the...

The Hisense A10 has an E Ink main display and a magnetic LCD screen you can attach to its rear.

The FCC authorized Reflect Orbital to launch the mirror satellite Eärendil-1. “For optical astronomy, this poses an existential threat,” the European Southern Observatory said.

The Creative Agent OS — create better with desktop AI agents Discussion | Link

Drawing from the enduring adaptability of HTML and HTTP, Seph Gentle proposes embedding self-contained schemas directly into file headers, ensuring data remains readable without external definitions. His experimental format prioritises forward, backwards, and sideways compatibility, enabling data format evolution without central coordination or data loss By Olimpiu Pop

submitted by /u/Dear-Economics-315 [link] [留言]

submitted by /u/Dear-Economics-315 [link] [留言]

The machine that could change the world will be housed in a room that looks like a data center crossed with an ice cream factory. Inside will be some 100 stainless-steel cabinets, each about six feet tall and connected to a supply of liquid helium that keeps them only a few degrees above absolute zero.…

submitted by /u/aldacron [link] [留言]

I Wish I Ran the Numbers on Open Source AI APIs Sooner Three months ago I would have told you self-hosting was the obvious move. "Open source means free, right?" I said that to a client while quoting them $3,500 for a GPU server setup. They smiled politely and went with someone else. That rejection sent me down a rabbit hole I wish I'd started years earlier, because the actual math — not the vibes-based math freelancers like me tend to do — completely flips the script. If you're running a solo practice or a tiny shop, you probably bill every minute of GPU babysitting straight out of your own pocket. That's time you could be shipping features, pitching clients, or — if we're being honest — sleeping. So let me walk you through what I learned the hard way, with all the pricing left exactly where it belongs. The Open Source Lineup That Actually Matters Right Now When I started this research, I assumed "open source AI API" was an oxymoron. If you're calling an API, somebody owns the server, so what's even the point of being open? Turns out the point is massive: open-weight models accessible through an API give you the pricing transparency of self-hosting without the DevOps funeral you're planning for your weekends. Here's the pricing matrix I put together from Global API's public rates. These are output token prices (input is usually cheaper), and yes — they're shockingly low compared to GPT-4o territory. Model License Output Price Self-Host Range DeepSeek V4 Flash Open weights $0.25/M $500-2,000/mo DeepSeek V3.2 Open weights $0.38/M $800-3,000/mo Qwen3-32B Apache 2.0 $0.28/M $400-1,500/mo Qwen3-8B Apache 2.0 $0.01/M $200-800/mo Qwen3.5-27B Apache 2.0 $0.19/M $300-1,200/mo ByteDance Seed-OSS-36B Open weights $0.20/M $500-2,000/mo GLM-4-32B Open weights $0.56/M $400-1,500/mo GLM-4-9B Open weights $0.01/M $200-800/mo Hunyuan-A13B Open weights $0.57/M $300-1,000/mo Ling-Flash-2.0 Open weights $0.50/M $300-1,000/mo Look at Qwen3-8B and GLM-4-9B at $0.01/M output tokens. A mi