Oh, look, another techie bragging about their overpowered Mac and their obsession with running local models that no one asked for 😂. Apparently, 2026 is the year when local models finally got "good," or maybe it's just another excuse to flex their RAM đŸ’Ș. Who knew spending a fortune on hardware could make old tech "surprisingly good"? 🙄
https://vickiboykis.com/2026/06/15/running-local-models-is-good-now/ #techbragging #localmodels #overpricedhardware #flexingRAM #2026tech #HackerNews #ngated
Running local models is good now

Local agentic coding has gotten great over the past few months

Oh wow, a riveting tale of someone spending an exorbitant amount on GPUs for AI shenanigans, only to realize their tech is as useful as a chocolate teapot for their needs. 🙄💾 Apparently, Frankenstein-ing a machine with a mishmash of overpriced hardware is the new rocket science! 🚀🔧
https://imil.net/blog/posts/2026/rtx-5080-+-rtx-3090-setup-80+-tok-s-on-qwen-3.6-27b-q8/ #AIshenanigans #techfail #overpricedhardware #GPUadventures #rocketscience #HackerNews #ngated
RTX 5080 + RTX 3090 Setup: 80+ Tok/s on Qwen 3.6 27B Q8 - iMil.net

Dual GPU setup: run Qwen 3.6 27B at a Q8 quantization at 80+ tokens/sec with 39GB total VRAM

đŸ€Ł Oh, fantastic! Another GitHub repo that thinks it's the second coming of sliced bread, now with the added bonus of being an Apple Silicon snob. đŸŽ© Because clearly, your #AI fine-tuning isn't legit unless it's running on overpriced hardware with fancy acronyms. 🙄
https://github.com/mattmireles/gemma-tuner-multimodal #GitHubRepo #AppleSilicon #OverpricedHardware #Snobbery #HackerNews #ngated
GitHub - mattmireles/gemma-tuner-multimodal: Fine-tune Gemma 4 and 3n with audio, images and text on Apple Silicon, using PyTorch and Metal Performance Shaders.

Fine-tune Gemma 4 and 3n with audio, images and text on Apple Silicon, using PyTorch and Metal Performance Shaders. - mattmireles/gemma-tuner-multimodal

GitHub