What actually moved in LLMs, every week — biased toward what you can actually run. llama.cpp, small-model compression, and the open weights worth the download.
A fixed one-week window, read narrowly: what landed in llama.cpp, what the week's papers actually established, and which open weights shipped. Short by design — a week is not a month, and an issue that has to be padded is not worth your Monday.
People who deploy this stuff rather than only read about it — anyone choosing a quantization format, sizing a local model, or deciding whether a technique is ready. It assumes you build.
Montevive, an AI engineering studio in Granada. We build and run LLM systems for clients, and this is the digest we wanted to read and could not find.
Most AI roundups are a model summarising other summaries. This one has a method, and the method is the point — it is why the numbers in it can be trusted.
The window is fixed before the research starts, and printed on the issue. Anything older that earns a mention is labelled as context, never smuggled in as news.
Every claim carries a link. No link, no claim. Papers cite the arXiv ID, llama.cpp work cites the pull request, releases cite the model card.
Load-bearing claims are verified at the primary source, not at a summary of it. In issue 01 that caught a widely-reported pull request described as shipped when it had in fact been rejected, and two numbers that search summaries had paraphrased wrongly.
Authors' own figures are labelled as claims, not measurements. A reported 20× compression is what the paper reports, and the issue says so.
Judgements are explicit and rankable — every recommendation
carries an ADOPT, WATCH or LAB ONLY verdict, and
the issue is willing to say lab only.
Issue 056 Sep — 10 Oct 20265 sections · ~150 citations
The underlying technology every issue assumes — prefill and decode, KV cache, the attention variants, quantization, speculative decoding — defined by why each one matters rather than by what the acronym expands to. It is a standing page, carried forward and edited between issues rather than rebuilt each week.
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