apple-silicon-llm-bench/results/complete_results.html at main · AlexHiesch/apple-silicon-llm-bench

Systematic LLM inference benchmark for Apple Silicon: 8 backends, 7 models, 791 measurements - AlexHiesch/apple-silicon-llm-bench

Geek Lite on Twitter / X

在 Apple Silicon Mac 上本地运行 LLM 推理服务，提供比 Ollama 和 llama.cpp 更快的 OpenAI 兼容 API，同时原生支持工具调用和提示缓存。https://t.co/IXet9GW7x0Rapid-MLX 用 Apple 自家的 MLX 框架做推理，搭了个 FastAPI 服务跑 OpenAI 兼容 API。在 Apple Silicon 上比 Ollama 快 2-4 倍，靠… pic.twitter.com/d9QUbAWJSZ— Geek Lite (@QingQ77) May 3, 2026

Silicon Inquiry

by Wendy Liu // A personal inquiry into the tech industry

Silicon Inquiry

by Wendy Liu // A personal inquiry into the tech industry

A Retrospective on the ICLR 2026 Review Process – ICLR Blog

The selection of papers for ICLR 2026 has fully concluded. We extend our congratulations to the authors whose work will appear at the conference. Creating ICLR’s technical program requires immense effort from the authors, reviewers, and area chairs, and we thank you for your contributions and service. For researchers whose work was rejected, we hope that the review process will help you improve your submission for future publication.

Fake Ass Spec

This is a fake-ass spec. We can annotate things1. We can link. We don't believe in P(doom^k). But we can keep on going!

alphaXiv

Discuss, discover, and read arXiv papers.

alphaXiv

Discuss, discover, and read arXiv papers.

Denny Zhou on Twitter / X

ICLR 2027 has received more submissions than all previous years (2013–2026) combined pic.twitter.com/loUOKvf6si— Denny Zhou (@denny_zhou) September 20, 2026

FOSDEM 2026 - FOSDEM 2026 Call for Participation

Proposals for developer rooms and main track talks for FOSDEM 2026 can now be submitted!

Lei Yang on Twitter / X

Got burned by an Apple ICLR paper — it was withdrawn after my Public Comment.So here’s what happened. Earlier this month, a colleague shared an Apple paper on arXiv with me — it was also under review for ICLR 2026.The benchmark they proposed was perfectly aligned with a… pic.twitter.com/ON782SFNjI— Lei Yang (@diyerxx) November 27, 2025

Artur Chakhvadze on Twitter / X

We are releasing our first quantized checkpoints for the Qwen3.5 series of models, co-designed jointly with our inference engine to achieve maximum possible performance on Apple hardwareStarting from 0.8B, 2B and 4B modelshttps://t.co/2R8BdhAfzv— Artur Chakhvadze (@norpadon) June 8, 2026