Machine Learning Street Talk (MLST) Taming Silicon Valley - Prof. Gary Marcus
27 snips
Sep 24, 2024 
In this engaging discussion, AI expert Gary Marcus critiques the current landscape of artificial intelligence, arguing that models like ChatGPT may be more superficial than we assume. He raises concerns about tech giants prioritizing profits over ethical considerations, amplifying misinformation, and encroaching on privacy. Marcus emphasizes the urgent need for regulation to safeguard societal interests and warns against the dangers of unchecked AI development. He advocates for informed public discourse to ensure AI evolves responsibly.
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Disillusionment with AI Ethics
- Gary Marcus details his disillusionment with Silicon Valley's handling of AI.
- He recounts his Senate testimony, initial optimism, and subsequent inaction on AI regulation.
Stagnant AI Progress
- Gary Marcus's keynote, revisited 3 years later, highlighted AI's lack of progress on core issues.
- He emphasizes the unchanged flaws in large language models (LLMs) despite industry hype.
Illustrative Example of AI Limitations
- Gary Marcus discusses the "Horse Rides Astronaut" example, demonstrating LLMs' lack of compositionality.
- Despite advancements, these systems struggle with basic semantic understanding.
