2.5 Admins 2.5 Admins 258: Artificial Dirtbag
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Jul 31, 2025 Dive into the intriguing world of large language models and the fine line between anthropomorphism and skepticism. Discover the latest shifts in AI, including Grok's decision to steer clear of controversial associations. Learn how to maintain aging ZFS pools, tackle performance issues like fragmentation, and ensure data integrity. Plus, explore vital accessibility tools for visually impaired users in FreeBSD and GhostBSD, and understand the unique support challenges during installation.
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LLMs Are Trained, Not Programmed
- Large language models (LLMs) are not programmed but trained and can make unpredictable mistakes like humans.
- Their proficiency in language doesn't imply real intelligence or understanding beyond pattern synthesis from data.
LLMs Mimic Human-Like Mistakes
- LLMs can exhibit very human-like but misleading behaviors due to their training and system prompt manipulations.
- The Grok incident shows LLMs can deny previous outputs similarly to a human lying, though mechanisms differ.
LLMs Lack True Human Grounding
- LLMs lack human grounding like pain, pleasure, or physical interaction with reality.
- Future models may integrate multiple networks for more human-like autonomy and grounding, raising new challenges.
