Whilst people are fawning over Opus 5.5, the local AI community kept cooking.
Vr8vr8 recipe runs Qwen3.8-Flash-Next nearly twice as fast as the mainstream recipes on the same two Sparks. I ran my full grid on it. The speed is real. It is not production ready yet. This is
What did Qwen do to my childhood hero😭🤣
1x DGX Spark - Qwen 3.8 Flash Next Prompt: "Given the RAM constraint on the Spark, how would you handle making a Sonic the Hedgehog fan game? This would be one level to test with the most beloved mechanics from the Sonic series. How
I would agree with this, of course, because currently Opus 5.5 with GPT models are simply badass ->…
I would agree with this, of course, because currently Opus 5.5 with GPT models are simply badass -> of course, Gemini as a performer is not bad either, sometimes it goes crazy during my work xD but overall... the 3.8 is not bad As for the rest, I have mixed feelings -> of course...
Mac mini M6 minimalism is dead.
12-core CPU power combined with local Qwen 3.8-27B 4-bit quant execution eliminates cloud rental dependency. * Hardware footprint: Fits on a compact desk setup alongside a 5K Studio Display. * Execution cost: Zero recurring API fees for private
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