AI is literally the culture war, figuratively speaking
Jan 5, 2024
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The podcast discusses the importance of efficient GPU usage in AI companies and worries about the broader culture war. It explores controversies in AI ethics, the lawsuit between the New York Times and Open AI, and the future of language models. The hosts also touch on the resignation of the Harvard University president and the influence of communication methods on learning.
The lawsuit between the New York Times and OpenAI highlights the potential impact on AI models and media outlets in terms of content ownership and distribution.
The phrase 'just want to learn' reflects the concept of AI models' innate desire to acquire knowledge, showcasing the rapid progress and challenges in AI development.
Deep dives
New York Times sues OpenAI for copyright infringement and unfair competition
The New York Times has filed a lawsuit against OpenAI, accusing the company of copyright infringement and unfair competition. The lawsuit alleges that OpenAI used the New York Times' articles to train its chatbot without compensation. Additionally, the New York Times claims that OpenAI's chatbot could potentially compete with the newspaper itself, as users might prefer interacting with the chatbot rather than accessing the New York Times directly. The outcome of this lawsuit could have significant implications for the relationship between AI models and media outlets as they navigate ownership and distribution of content.
The "just want to learn" meme in AI discourse
The phrase "just want to learn" has gained popularity in AI discourse, referring to the idea that AI models, such as chatbots, have an inherent desire to learn. This concept, highlighted by Dario Amodei from Anthropic, emphasizes that models have a natural inclination to acquire knowledge. While the phrase is often employed humorously, it also reflects the rapid progress in AI and the potential for models to surpass human performance. The meme serves as a reminder of the ongoing advancements and challenges in AI development.
Reflecting on New Year's resolutions and intentions
As the new year begins, many individuals reflect on their resolutions and intentions. One common intention is to be less consumed by noise and distractions, focusing on activities like meditation, building tangible projects, and reducing excessive conversations. Additionally, there is a commitment to process the abundance of news and information that is expected to shape the year with integrity and purpose. New Year's resolutions often revolve around personal growth, well-being, and finding happiness amidst the complexities of life.
Tom and Nate are ready to kick off the year, but not too ready! There's a ton to be excited about this year, but we're already worried for some parts of it. In this episode, we'll teach you how to be mindful of the so called "other side of ML". Some links: - Link to NYT lawsuit techdirt article https://www.techdirt.com/2023/12/28/the-ny-times-lawsuit-against-openai-would-open-up-the-ny-times-to-all-sorts-of-lawsuits-should-it-win/ - Link to AI generated talk tool https://github.com/natolambert/interconnects-tools?tab=readme-ov-file#generated-research--video - They just want to learn https://twitter.com/hamishivi/status/1730633057999483085 and pod episode https://www.dwarkeshpatel.com/p/dario-amodei
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