Tested on M1 Max 64GB: SeFi-Image turbo runs on MPS in bf16 at 13–47s/image; fake text and face artifacts only clear up on 5B RL at 50 steps, 18 min/image.
Measured on M1 Max 64GB: weight-only INT8 runs 41% slower than fp16, a hand-written Metal int8 GEMM 15.6x slower, MPSMatrix int8 3x, and MLX 8-bit 9% slower.
Tested on M1 Max 64GB ComfyUI: v0.24.1 fails to load int8_tensorwise, v0.30.1 hits the missing aten::_int_mm MPS kernel, and a dequantize patch runs slower than bf16.
Tested on M1 Max 64GB: AnimaLoraToolkit + Anima-Base crashes on torch 2.6.0 (MPS SDPA bug) but runs 300 steps clean on 2.7.1, at ~21 s/step, roughly 9x slower than an RTX 5090.
Muon and SOAP cut final diffusion loss 18% vs AdamW. Mapping that to Anima (Cosmos DiT) and SDXL U-Net LoRA training, plus existing LoRA-Muon research, before writing any code.
MCP 2026-07-28 drops initialize, session IDs, and SSE resume; Sampling, Roots, and Logging are deprecated. I wrote minimal servers for both specs and diffed them with curl.
Kimi K3 activates 16 of 896 experts per MoE layer. From the July 27 tech report: experts are sliced FFNs, not specialists, and the router is one linear projection.
M4 Mac mini postmortem: cron auth silently dead, a recall-0.19 model passing every promotion gate, 258 poisoned negatives, and a 5-config sweep to a usable trade-off.
Verified in SymPy: the 3-variable map from Alpöge's post has constant Jacobian determinant −2 yet sends three points to (−1/4, 0, 0). What changes for n ≥ 3 and what stays open.
Qwen3.8 Max preview tested via ambassador early access: OpenAI-compatible API behavior, reasoning_tokens, always-on thinking, and the unknowns behind the 2.4T parameter count.
Kimi K3 is API-only for now: a 2.8T MoE with 1M context via Kimi Delta Attention, open weights promised by July 27 under Modified MIT, and a reasoning-token overhead worth pricing in.
Self-patching on Qwen2.5 and Llama3 shows fine-tuned facts stall outside the mid layers; moving one hidden state lifts 2-hop reasoning from 0.078 to 0.793 (arXiv 2607.08393).
