The name is the button.

An agent writes the code now, and a human thumb hovers over Accept all a hundred times a day. The honest question of this decade is what, exactly, you just accepted. So I read the diff.

Eight years as a backend engineer in Stockholm, back in Tokyo since 2023, and I still ship something small most nights, usually badly. My one rule: the only real review of a model is the thing you built with it. That is why there is no leaderboard on this site.

Around a hundred and forty sources come through — the labs' own posts, the papers, the tools, the runtimes and languages nobody is watching yet, the chip under the demo, and the newsletters people actually forward. What is moving gets counted so the week reads at a glance, and every few days I explain one mechanism in plain words.

A story here is a headline, a short excerpt, one image and the link to whoever wrote it. We never reproduce the post; the images belong to their authors. A post written in Japanese appears in Japanese, exactly as it was published, and the link goes to the original.

— Yuki Halvorsen, Tokyo

← Accept All Archive

llama.cpp releasesTools

b11480: llama : add a GPU cache for MoE experts kept in host memory (#29887)

October 7

llama : add a GPU cache for MoE experts kept in host memory Assisted-by: Claude use llama_moe_cache_ptr

Models & releases Chips & compute

Read at llama.cpp releases ↗

One letter a week, in your inbox.

Latest

b11480: llama : add a GPU cache for MoE experts kept in host memory (#29887)

Related

Toolsb11471 llama.cpp releases

AsiaShanghai AI Lab Open-Sources Intern-Decision, Small Models That Output Decisions, Not Text Pandaily

SiliconOpenAI and Synopsys partner to build "GPT-Synopsys" for autonomous chip design Tom's Hardware AI

ValleyAmazon’s $1B plan to combat data center backlash draws more backlash Ars Technica AI

SiliconHow NVIDIA GPUs Help Accelerate OpenAI’s GPT-6 Astra Ultrafast NVIDIA Blog

SiliconDeepSeek and Huawei release open-source Ascend AI programming tools to reduce reliance on Nvidia ecosystem Tom's Hardware AI