The Infinite Monkey Cage How I is AI?
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Nov 22, 2023 Mathematician Prof Hannah Fry, computer scientist Dr Kate Devlin, and comedian Rufus Hound explore the pros and cons of AI. They discuss the intelligence of AI, the potential for AI to replace humans in various roles, the limitations of AI, testing the human feel of words, emotional connections with AIs, and the dilemma of human decision-making vs algorithmic efficiency.
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AI Is Computational Statistics
- Modern AI is best described as a revolution in computational statistics rather than true intelligence.
- These systems are huge grids of numbers that find patterns from data without conceptual understanding.
Learning Patterns Not Understanding
- AI systems learn patterns from massive datasets and make predictions rather than 'understand' the world.
- Supervised and unsupervised (deep) learning let models build internal representations without human-like concepts.
Multimodal Grounding Strengthens AI
- Multimodal AI (text, images, video) provides stronger grounding and richer capabilities than text-only models.
- Translating knowledge across modes gives models more coherent, world-linked representations.