Sharp Tech with Ben Thompson (Preview) Experimenting With OpenAI’s Deep Research, Another ChatGPT Moment, Won’t Someone Think of the Entry-Level Employees?
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Feb 6, 2025 Dive into the world of Apple as they discuss earnings and the challenges faced in the China market. The conversation highlights the dual-edge sword of AI in analyzing complex business topics, emphasizing both its organization and potential risks of misinformation. They also navigate the balance between AI insights and human expertise, showcasing the importance of precise prompts. OpenAI's Deep Research tool takes the spotlight, demonstrating its power in streamlining research, all while raising questions about the future of entry-level jobs.
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Deep Research Analyzes Apple Earnings
- Ben Thompson experimented with OpenAI's Deep Research, prompting it to analyze Apple's earnings.
- The analysis was well-organized but lacked novel insights, resembling a report from a research intern.
Cogency vs. Insight
- Deep Research's output quality can be deceiving due to its well-formatted and organized nature.
- This cogency can mask a lack of true insight, raising concerns about AI's potential to mislead.
Thesis Generation vs. Thesis Filling
- Deep Research excels at filling in a provided thesis but struggles to generate its own.
- The quality of the output heavily depends on the prompt's clarity and direction.