2026-10-11 17:10 UTC

apple-silicon

band: warmmomentum: stable score: 0.409
temperature history

Episodes (16)

Independent testing will determine whether ExpertCache can run the full 63GB GPT-OSS 120B model on a 16GB M1 Pro at practically useful speed and output quality through expert caching.
expiredknownscott: low
Independent benchmarks will determine whether mlx-dspark’s speculative decoding reproducibly accelerates Muse Glimmer 30B inference by roughly 2–3× on Apple Silicon without changing model output.
expiredknownscott: medium
Independent reproduction and vendor review will determine whether SLAC’s Apple Silicon system-level-cache channel enables practical CPU-to-GPU data leakage requiring architectural or software mitigations.
expiredcontradictsscott: medium
Independent benchmarks will determine whether Shoehorn can automatically quantize large language models to fit constrained Apple Silicon memory while preserving useful quality and inference speed.
expiredconvergesscott: low
Independent testing will determine whether Apertura’s from-scratch MLX and Objective-C++ implementation makes Gemma-4 inference correct, efficient, and practically usable on Apple Silicon.
expiredknownscott: low
Independent benchmarks will determine whether omlx’s hybrid Apple Neural Engine and GPU prefill materially improves large quantized-model throughput on Apple Silicon despite increased peak memory use.
expiredconvergesscott: low
Independent testing will determine whether vpipe can run MiniMax H3 correctly on 16GB Apple Silicon Macs with practically useful throughput and output quality.
expiredknownscott: low
Independent benchmarks will determine whether TT-AMX’s released zero-copy tensor-train engine materially improves memory efficiency and LLM inference performance on Apple Silicon.
expiredknownscott: low
Independent benchmarks will determine whether Apple’s M5 Ultra Mac Studio, with up to 512GB unified memory and roughly 1.2TB/s memory bandwidth, provides materially better capacity and economics for local LLM inference.
corroboratedconvergesscott: medium
Independent testing will determine whether CuMetal correctly runs a practically useful subset of CUDA programs on Apple Silicon through Metal.
expiredconvergesscott: medium
Independent deployments will determine whether Expert Sniper can pool multiple Apple Silicon Macs to run a single local model with practically useful throughput, reliability, and cost efficiency.
expiredknownscott: low
llama.cpp contributor predatar claims PR #28086 raises IQ3-quantized MoE decode throughput on Apple Silicon Metal from about 65.6 to 73.9 tokens per second, potentially improving local sparse-model inference if merged.
watchingknownscott: low
Perplexity claims its open-sourced Lily server provides a model-specific inference path that makes Qwen deployment faster and more practical on Apple Silicon Macs.
expiredconvergesscott: medium
MasterFabric reports that raising the Metal wired-memory ceiling to 20 GiB lets Ollama 0.34.0 run Gemma 4 26B entirely on a 24GB Mac mini M4 GPU, roughly doubling generation throughput while increasing system memory pressure.
seedknownscott: low
Redditor a300a300's linked mlxfast project claims coding agents (mostly Opus 5.5) rewrote a 27B model's MLX inference engine on a Mac, raising decode from 66 to ~580 tok/s in three days — verification of the numbers on the project page or independent replication would establish agent-driven engine optimization as a demonstrated route to order-of-magnitude local-inference speedups.
resolvedconvergesscott: medium
llama.cpp contributor pratiknarola-t's merged PR #29869 claims few-row MMA Metal mat-mul and batched-copy kernels turn DFlash2 speculative decoding of Qwen3.8-27B from slower than serial decoding (~30 tok/s) into ~110 tok/s on an M3 Ultra — with the kernels, tests, and benchmarks disclosed as Claude Code-written — and the gains replicating across Apple GPUs, models, and specdec drafters would establish few-row matmul optimization as the standard enabler of speculative decoding on non-tensor-API Apple Silicon.
seedconvergesscott: high

Trajectory notes