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Mystery AI Hype Theater 3000
Episode 36: About That 'Dangerous Capabilities' Fanfiction (feat. Ali Alkhatib), June 24 2024
Jul 19, 2024
Computer scientist Ali Alkhatib discusses Google DeepMind's flawed study on dangerous capabilities of large language models, emphasizing the social implications of AI. Critiques on poorly developed AI models, misinterpretations in AI research, hacker tools extracting data, and the limitations of tech news solutions are also explored. The conversation challenges hierarchical thinking in AI benchmarks and deceptive rhetoric in promoting harmful ideas.
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Quick takeaways
- Big tech companies using preprint servers to avoid peer review, influence public AI conversation.
- Anthropic's Cloud 3.5 Sonnet benchmarks criticized for hierarchical implications.
Deep dives
Cloud 3.5 Sonnet Benchmarks Segmented by Educational Stages Spark Controversy
In a post from anthropic on LinkedIn, the Cloud 3.5 Sonnet benchmarks are revealed to have segments like 'graduate-level reasoning,' 'undergraduate-level knowledge,' and 'grade school math,' drawing criticism for the hierarchical implications embedded in the model names.
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