A Reddit user expresses frustration with the increasing size and complexity of "open weight" large language models, arguing that many are practically unusable for individuals due to their massive parameter counts and context windows. The user notes that while the weights are technically available, running these models locally is impossible without enterprise-grade hardware, defeating the original purpose of self-hosting and community sharing. This trend, exemplified by models like GLM-5.2, has shifted the focus from optimizing models for personal hardware to essentially serving as free marketing for API or cloud-based access. AI
IMPACT Highlights the growing gap between released model sizes and individual user hardware capabilities.
RANK_REASON User opinion piece on the practical limitations of large open-weight models.
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