No headphone jack on a sound-oriented tablet?

unfortunately both injustice games, gotham knights and suicide squad kill the justice league are all shite so i guess you're paying $12 for 4 games

everybody has this sh*t in abundance. endless waste on top of waste.
so, a good thing.

QuoteAnd if the M6 is not powerful enough or you need more than 32 GB RAM, Apple also offers the Mac mini with the M5 Pro SoC.

This is good I guess, but the not-improvement from previous M5 to more than 32 GB RAM/unified memory is a disappointment, because if one wants to run SOTA model huggingface.co/unsloth/Qwen3.6-35B-A3B-MTP-GGUF/blob/main/Qwen3.6-35B-A3B-UD-Q4_K_XL.gguf[1] -- and this model would run fast enough on this mini-PC, if it only had 8 GB more RAM/unified memory --, this is how many context tokens one can fit (for this MTP variant, context will be less, because the MTP head also consumes memory):

Quote from: reddit.com/r/LocalLLaMA/comments/1sq94qx/is_anyone_getting_real_coding_work_done_with.. I've come to the conclusion that (1) 32768 is the biggest context I can get away with in an adequately smart model, and (2) it just ain't enough.

Calculating available context: 16,384 [KV cache context tokens per GB]*(32 [GB total memory] - 6 to 8 [GB for the OS] - [quant filesize])[2]:
For huggingface.co/unsloth/Qwen3.6-35B-A3B-MTP-GGUF -> UD-Q4_K_XL.gguf:
~34,400 context tokens = 16,384*(32-7-22.9) (confirms the quote)

Hopefully the M7 will come with more than up to 32 GB RAM, 40 GB would be a good start, if APPLE considers 48 GB to eat too much into M Pro.

[1] artificialanalysis.ai/?models=qwen3-8-27b%2Cqwen3-8-27b-medium%2Cqwen3-8-27b-low%2Cqwen3-8-27b-non-reasoning%2Cqwen3-6-35b-a3b%2Cqwen3-6-35b-a3b-non-reasoning&intelligence=artificial-analysis-intelligence-index
[2] reddit.com/r/Qwen_AI/comments/1vo8pjz/qwen3827b_kv_cache_works_out_to_64_kibtoken_so/