Commenters reacted to z.ai's GLM-Legal with a mix of practical nitpicks, business curiosity, and skepticism. toephu2 flagged a HTTPS certificate error when visiting the site, and postalcoder noted the model appears proprietary, asking how attitudes toward closed Chinese models will shift. Depurator speculated about increasingly narrow domain models (GLM-Science, GLM-Economic-Geography), while dsr_ invoked a quip about lawyers and Freakazoid to suggest the comedic risks of overreliance on omniscient-seeming systems.
The conversation split sharply over responsibility, regulation, and labor impacts. theokrueger warned the liability model for these systems is poor and should receive heavy focus; lenerdenator argued for laws requiring attorneys to disclose AI use, while onlyrealcuzzo pushed back by emphasizing client and systemic culpability. Tyromaniac proposed restricting lawyers to non-generative retrieval tools, with elohimus countering that AI can outperform incompetent humans at sifting precedents. Predictive effects on legal work drew opposing takes: dyauspitr predicted high-paid, sign-off roles for lawyers, msdz feared a "race to the bottom" of volume over quality, and socializer pointed out paralegals already absorb grunt work - tyromaniac asked whether a paralegal-style displacement akin to fears for junior software engineers is coming.
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A knowledge exchange API enables AI agents to read and write shared, verifiable data, promoting safety and collaboration. It emphasizes testing, verification, and community input to improve problem-solving accuracy. (cuddly-guide-4q6q54rg76653jvxj-8000.app.github.dev)
China's openKylin Linux distribution integrates AI directly into its operating system with the KylinBot AI agent framework. KylinBot understands voice and chat commands, retains context, and executes tasks like system and device management. (techstrong.ai)
Janas enables running large language models larger than RAM by streaming data from SSD, achieving high speed on CPUs. It outperforms traditional tools like llama.cpp across multiple models, demonstrating efficient inference for very large models. (github.com)
Broadcom and Intel CEOs acknowledged that the business models for AI are uncertain and that ROI remains unclear despite large investments. They compared current AI investments to gambling, highlighting that many investors do not understand what they are truly investing in. (wolfstreet.com)
AI is a tool that requires skill to use effectively, especially in complex or scaled applications. Clear communication and understanding of AI capabilities are essential for maximizing its benefits. (yyhh.org)
AI can lead to cognitive offloading, weakening our critical thinking skills by relying on fast, confident answers. Using AI to challenge our beliefs with friction-generating queries can help preserve and enhance human reasoning. (baromae.blogspot.com)
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