AI can be useful for tasks like Google searches, but it fails when it comes to summarizing complex materials, as it misses the nuances I seek.

Deep Research is particularly effective for detailed queries that require extensive reading and understanding of web content to provide accurate answers.

Google is confident in its AI advancements, with a focus on bringing deep computer science research into practical products.

Deep research is designed to be the most comprehensive tool for search queries, while the 03 model is better suited for medium-level searches.

Google's technology may surpass OpenAI's, but they struggle with execution and polish.

AI discussions at Google were more focused on improving search rather than contemplating the long-term implications of AGI.

Google's search is evolving to provide complex data visualizations and real-time assistance, enhancing user interaction with information.

Google's original search algorithm struggled to scale as the web grew, leading to a period where users received stale search results. This crisis prompted the development of MapReduce, a system for parallelizing web crawling and indexing.

Deep Research was developed to tackle tasks requiring extensive online research and reasoning, enabling users to efficiently gather information and make informed decisions across various domains.