Why No PC Laptop Can Touch a 128 GB MacBook for Local AI Yet, and the Three Chips Coming for It
💻The question I could not shake I do all of my AI work on a MacBook Pro with an M5
💻The question I could not shake I do all of my AI work on a MacBook Pro with an M5
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 (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 »