Apple's new Mac Mini & Mac Studio are basically built for local AI.
Apple is now turning the computer on your desk into a personal AI server. The new $899 M6 Mac Mini can run serious open models locally: → Qwen 3.6 27B → Qwen 3 Coder 32B → DeepSeek R1 32B → Up to 13.5x
Everyone told you frontier AI needs a data center.
This repo just called that a lie — and backed it with numbers, not hype. colibri runs models up to 2.8 trillion parameters. On a laptop. No GPU required. Here's how it does it: → Pure C. Zero engine dependencies. → Treats
Finally, an OpenRouter for agent harnesses!
(including System One by Jev) Devs just open-sourced plug-and-play infrastructure layer that lets you run any harness under a single interface for free, like: - Codex - Claude code - Hermes - DeepSeek Harness - System One,
I had trust issues with all the Jev demos so I had to see for myself if the performance gains we're real.
Here I have a 128 person tennis bracket and ran Deepseek v4 against Jev to compare the results. Given the right use case Jev is game changer 🧵
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