My 2.5 year old laptop can write Space Invaders in JavaScript now, using GLM-4.5 Air and MLX

The recent release of GLM-4.5, a new family of open-weight models from Z.ai, demonstrates significant advancements in local artificial intelligence capabilities. Licensed under MIT, these models offer high performance in coding tasks, rivaling commercial alternatives. By providing quantized versions suitable for consumer hardware, such as running on a 64GB laptop, the developers enable wider accessibility without requiring enterprise-grade infrastructure. Practical testing confirms that these efficient models can generate functional, production-ready code directly from simple prompts. The ability to execute complex programming tasks locally highlights the maturation of open-source language models, making them viable tools for individual developers. This shift reduces reliance on cloud services for routine coding assistance, promoting data privacy and independence for users. This development is highly relevant to open data because it underscores the viability of locally hosted AI solutions. As powerful models become available under open licenses, the barrier to entry for private, self-hosted analysis decreases. This trend encourages a more decentralized data ecosystem where organizations can leverage state-of-the-art algorithms without exposing sensitive information to third-party providers, fostering greater control and transparency in data processing workflows.

Source: simonwillison.net
Published on 2025-07-30

My 2.5 year old laptop can write Space Invaders in JavaScript now, using GLM-4.5 Air and MLX

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