Simon Willison quotes Georgi Gerganov
Simon Willison shares a quote from Georgi Gerganov, the creator of llama.cpp. The body of the item is empty, so the specific content of the quote is unavailable. Georgi Gerganov is a significant figure in the open-weights inference ecosystem, making any substantive statement from him potentially relevant to tracking open-source LLM tooling trends.
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Related events (8)
Simon Willison: GLM-5.2 is probably the most powerful text-only open weights LLM
Simon Willison asserts that GLM-5.2 is likely the most capable text-only open-weights language model currently available. The post is a commentary from a respected practitioner tracking the open-weights landscape. This is notable as a signal about the state of open-weights competition relative to closed frontier models.
Quoting Armin Ronacher
Simon Willison quotes Armin Ronacher in a brief commentary post. The body content is empty, so the specific substance of the quote is unavailable, but given the source and subjects involved—both prominent figures in Python/developer tooling communities who have written extensively about AI coding tools and agents—the post likely touches on AI-assisted development or related tooling themes.
Simon Willison quotes Andrej Karpathy
Simon Willison's blog features a quote from Andrej Karpathy, though the body content is not available for review. Given the source and the individuals involved, this likely captures a notable observation from Karpathy on AI/ML topics. Karpathy is a prominent voice in the field whose commentary frequently carries signal for practitioners.
Quoting Mitchell Hashimoto
Simon Willison quotes Mitchell Hashimoto in a brief commentary post. The body content is empty, so the specific substance of the quote is unavailable from this record. Given the source and context, it likely relates to AI tooling or developer workflows given Hashimoto's recent work on AI-assisted development.
Simon Willison on DiffusionGemma
Simon Willison covers DiffusionGemma, a diffusion-based language model in the Gemma family from Google. The post appears to be commentary or a brief note on the model's release or capabilities. Diffusion-based LLMs represent an active area of research as an alternative to autoregressive generation.
Simon Willison's Commentary on Google I/O, Gemini Spark, and Antigravity
Simon Willison provides commentary on Google I/O 2026 announcements, including Gemini Spark and something referred to as Antigravity. As a tier-2 source, this represents an analyst perspective on Google's AI announcements rather than primary source material. The body content appears empty, limiting the depth of analysis available.
llm-gemini 0.32 Plugin Release
Simon Willison released version 0.32 of the llm-gemini plugin, which integrates Google's Gemini models into the LLM command-line tool ecosystem. The update likely adds support for newer Gemini model variants or API features. This is part of the ongoing tooling ecosystem around LLM CLI utilities that Willison maintains.
Introduction to ggml
This Hugging Face blog post introduces ggml, a C-based tensor library that underpins popular inference runtimes like llama.cpp and whisper.cpp. It explains ggml's design philosophy, quantization support, and how it enables efficient on-device inference for large language models. The post serves as an educational overview for developers looking to understand or build on the ggml ecosystem.