Apple Foundation Models Underestimated: Local AI Coding to Go Free
evijit · x · 2026-07-31
The author highly recommends trying out Apple's foundation models on the iPhone, noting that they are far more capable than expected, while being free, local, and private.
Reflecting on the massive efficiency improvements and cost reductions in LLM inference over the past two years, they predict that within a year, users will be able to download a multi-GB model directly to their MacBook to handle coding tasks without paying subscription fees.
Related event: Open-Source Efficiency Surge Brings Free On-Device AI Coding(2 posts)→
More from Models
- Why are sub-15B open models so rare now? Labs seem to have settled on 24-27B minimum — Hot_Example_4456 · 2026-10-16
- User spots model openly generating "ideal responses" to train other models — liminal_bardo · 2026-10-16
- Reflection's 501B MoE Beam hits 463 tok/s on 8x GB200 with NVFP4 at day 0 — zhyncs42 · 2026-10-16
- Gemma 4 31B QAT on one 24GB card: 46 tok/s plain, ~80 with draft model on RTX 4090 — Subject_Poet_3861 · 2026-10-16
- JevBench v1.7.46 leaderboard: new d1-ultra tops 32 API systems at 76.1 composite — airesearch12 · 2026-10-16
- Team of 5 mulls dropping ChatGPT Pro for Business as OpenAI quota parity stays unclear — bettercallfool · 2026-10-16