Own your AI. Local-first agents that remember, run code safely, and reach you anywhere. Native on Mac and Windows. Any model. No cloud required. Open source.
Excited for this. From what I can tell the scores alone show it rivals models like glm53flash. Osaurus users were having good results with Nanbeige 4b so hoping to see how this does even though I know the whole looped thing will make it dirty slow
@RyanJ_KOL@OsaurusAI The scrolling performance in the chat has been carefully crafted to handle long conversations. You should be able to scroll without any hitches even when a response is actively streaming :)
You should be able to feel the same performance on all iPhones (and iPads)!
Here's a snippet of the @OsaurusAI iOS app that I'm currently working on. It's being built entirely in UIKit with no traces of SwiftUI for maximum performance and backward compatibility.
Excited to bring the Mac app to mobile with Day 0 support for the new iPhone Duo!
Here's a snippet of the @OsaurusAI iOS app that I'm currently working on. It's being built entirely in UIKit with no traces of SwiftUI for maximum performance and backward compatibility.
Excited to bring the Mac app to mobile with Day 0 support for the new iPhone Duo!
Thanks for calling local models the frontier.
Intelligence per watt is improving fast on its own curve. Soon local models will match what feels like frontier today.
When that happens, there’s an enormous opportunity: tools, infrastructure, and support for people building businesses on the electrons they already paid for.
Labs like @ornith_ , @Alibaba_Qwen , @liquidai , and @nanbeige are already pushing this forward with almost no revenue model.
We’re building the infrastructure for it. Reach out if you want to learn more.
Thanks for calling local models the frontier.
Intelligence per watt is improving fast on its own curve. Soon local models will match what feels like frontier today.
When that happens, there’s an enormous opportunity: tools, infrastructure, and support for people building businesses on the electrons they already paid for.
Labs like @ornith_ , @Alibaba_Qwen , @liquidai , and @nanbeige are already pushing this forward with almost no revenue model.
We’re building the infrastructure for it. Reach out if you want to learn more.
The page isn’t the impressive part.
Halfway through, the shell failed. It didn’t stop or ask for help. It switched to file tools and finished the job.
2.5B active params did that.
NVIDIA spent its keynote selling AI factories.
A Mac read the whole thing and built a webpage about it.
The model found itself in the coverage.
Flint 40B. Running locally. Native Swift. No Electron.
Introducing Flint, @Recursive_SI’s first model: a fast local coding model built with our automated research system, the Eureka Machine.
• Best-in-class fast local coding
• Up to 2x faster than comparable models: 125+ tokens/sec on a MacBook Pro, 150+ on RTX Spark
• Built from scratch in under 4 months
Private, unmetered intelligence on your own machine. Open weights available now on @huggingface, run it locally on your favorite framework or try it for free on @opencode or @pidotdev.