I gave four AI models the same job — build a playable game in one file — and played what each built. Three ran local; one was the cloud. A local model won.
4 AI Models Built the Same Game on One Laptop — and a Local One Beat the Cloud Read Post »
Three days after launch, the U.S. government ordered Anthropic to disable Fable 5 and Mythos 5 worldwide. Nobody running local AI lost a thing. Here’s the lesson.
Same prompt, four AI engines, one MacBook — three of them fully offline. The new local Qwen3.6 27B painted the best aurora without touching the cloud. Full results, free models, and how to run it.
The Rematch: 4 AI Engines Build Northern Lights on One MacBook (3 Fully Local) Read Post »
Frontier cloud LLMs log your prompts. For privileged content — NDAs, medical records, source protection — that’s a deal-breaker. Open weights on Apple Silicon are the only honest answer, and there’s real, sustained demand from firms that nobody is talking about.
Why I Quantize Open-Weight Models for Macs — And Why Your Law Firm Should Care Read Post »
I converted Babsie’s BF16 abliterated Hermes-4-14B to MLX 4-bit so Mac developers don’t have to wait. 7 GB on disk, runs on a 16 GB Mac, drop-in for any mlx-lm or claude-code-local workflow.
Hermes-4-14B Abliterated, MLX 4-bit — Apple Silicon Just Got Another Real Model Read Post »
Antirez shipped ds4, a hand-tuned C+Metal inference engine for DeepSeek V4 Flash. Three architectural decisions worth understanding, and why the math just changed for compliance-sensitive devs.
Antirez (the Redis guy) shipped ds4, a hand-tuned C inference engine for DeepSeek V4 Flash. Same prompt, three engines, one MacBook. Local DeepSeek beat cloud Claude on wall-clock time.
I Just Watched One Hacker Catch Up to a Trillion-Dollar Data Center Read Post »
