Azeem Azhar's Exponential View cover image

Azeem Azhar's Exponential View

Azeem on AI: Are Large Language Models the Future of the Web?

May 24, 2023
Azeem Azhar discusses the potential of large-language models to revolutionize the web, serving as the successor to web 2.0. He explores the challenges of web 3.0 and highlights the benefits and new behavioral interactions that large-language models can bring to the internet. He also delves into the future of the web, examining the possibility of a single dominant winner or fragmented services driven by large language models. concerns about centralized models, the importance of cultural heritage and privacy-safe on-device models, and the prediction of a variety of systems with slight differences.
08:55

Episode guests

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Quick takeaways

  • Large-language models (LLMs) offer a new paradigm for accessing trusted transactional information and could revolutionize the web's interaction patterns.
  • Web 3.0 will likely be a fragmented landscape with various LLM-driven systems, allowing organizations and countries to control their knowledge and cultural context.

Deep dives

Large-language models as the successor to Web 2.0

The podcast discusses the potential of large-language models (LLMs) to revolutionize the way we access and use information online. The speaker explains that while Web 2.0 started to lose its luster, LLMs offer a new paradigm for making use of distributed computer systems on the internet. LLMs, such as GPT-4, provide a conversational interface to access highly trusted transactional or other information. The speaker believes that the web could be largely mediated through LLM-driven interfaces, leading to a fragmentation of services based on use cases and considerations related to privacy, cultural heritage, and national context.

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