Sharp Tech with Ben Thompson The Road to Personalized LLM Answers, The AI Risk for Aggregators, Anthropic Releases a ‘Near-Human’ Claude 3
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Mar 5, 2024 Exploring AI risks for aggregators like Meta and Google, the potential of personalized LLM answers, Anthropic's 'near-human' Claude 3 release, and the pace of AI progress. Touching on the challenges of chatbots, accuracy vs. user preference in AI assistants, and the impact of LLM outputs on user beliefs. Venturing into the emergence of Claude III as an AI competitor, the rise of open-source models like Perplexity, and discussions on partnerships and product prioritization in monopolies.
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Vision Pro for F1
- Ben Thompson used Apple Vision Pro to watch F1 qualifying.
- He found the experience better than watching on TV, enjoying the larger screen and portability.
The Problem of Truth
- LLMs face challenges giving objective answers as truth is subjective and context-dependent.
- People's values and interpretations vary, making a universally accepted 'correct' answer impossible.
Aggregator Risk
- Aggregators like Google thrived by sorting abundant information, giving users choice.
- LLMs, by providing single answers, risk losing this neutrality and imposing values, threatening the aggregator model.