Iron Man or Ultron: Is AI here to help us or hurt us?
summary
Compares OpenAI’s online limits (max temperature 2) with Azure OpenAI Studio’s default of 0.7 and shows how the temperature knob changes randomness; runs Llama 2/Code Llama and AMA locally in LM Studio and Olama (offline airplane‑mode demos) to prove local LLMs work on a Surface GPU/NPU; demos a form‑filling “smart paste” using mistol and TypeChat for typed responses; highlights Co‑pilot’s cited references, the quantified‑worker risk, and dangers of generative video and moral outsourcing.
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chapters (25)
- 0:00Welcome
- 1:30AI introduction
- 2:56Explaining AI to parents
- 5:26Anthropomorphism challenges
- 8:14AI response context
- 11:17AI personalization limits
- 13:44Ethical boundaries
- 15:51AI creativity settings
- 18:17Testing AI limits
- 21:56AI media hype
- 24:03AI interaction tone
- 25:51System prompts
- 29:16AI coding assistant
- 31:11AI content ethics
- 34:02AI model efficiency
- 36:54Local AI capabilities
- 41:13LM Studio demo
- 44:47Task-specific AI models
- 46:34Creative AI beyond chat
- 49:07Structured data extraction
- 51:29Constrained AI interactions
- 53:17Ollama on Windows
- 54:56AI creativity vs responsibility
- 57:26AI debugging partner
- 57:47Q&A
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