The first part of an appearance at The Long Island Macintosh Users Group digs into large language models, real-world AI use, and Apple's philosophy. The conversation ranges from productivity and creativity to ethics, privacy, and deepfakes. Why experimentation, transparency, and skepticism matter as AI becomes part of everyday workflows starts with participation from the group. (1)

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Show Notes:

Chapters:

[0:00] Introduction and context of the AI discussion
[2:57] AI vs. large language models explained
[6:01] Privacy, trust, and corporate AI policies
[7:38] Personal rules and verification when using AI
[9:09] Apple's AI strategy and user perception
[14:48] Using AI in audio, transcripts, and show prep
[16:09] Disclosure, AI constructs, and ethical concerns
[24:03] Training models and personalized AI responses
[27:52] Prompt engineering and agentic AI
[41:10] Deepfakes, scams, and real-world risks

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MacVoices #26001: Talking AI and LLMs with The Long Island Macintosh Users Group (1)

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