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Introduction:

Remember the initial hype surrounding OpenAI’s o1 and its subsequent Pro/o3 releases? The internet was ablaze with opinions, ranging from fervent excitement to utter disappointment. When the sentiment surrounding o1 Pro hit a low point, the question arose: what would it take for OpenAI to justify a hypothetical $2000/month agent product? Ben Hylak, known for his work on Apple VisionOS and the creator of Dawn Analytics, initially stood as a vocal skeptic of o1. However, his journey took an unexpected turn, transforming him into a daily user. This is the story of how a changed mind highlights a crucial shift: moving beyond the limitations of chat models and embracing a new world of AI-powered reasoning, exemplified by professional AI products like Devin (priced at $x00/month).

The Initial Disappointment: Treating o1 Like a Chatbot

Hylak, eager to justify the $200/month price tag of o1 Pro, subscribed immediately upon its release. His expectation was simple: the model should save him 1-2 hours of engineering time each month. However, his initial experience was far from satisfactory. Every time I asked a question, he recounts, I had to wait five minutes, only to be greeted by a wall of contradictions, complete with unsolicited architecture diagrams and lists of pros and cons. The model’s tendency to contradict itself led Hylak to publicly express his frustration. While some echoed his sentiments, a significant number of users vehemently disagreed, praising o1’s performance. This wasn’t just the usual OpenAI launch hype; these were opinions from individuals deeply engaged with the technology.

The Paradigm Shift: o1 as a Report Generator

Engaging with those who held opposing views, Hylak realized his fundamental misunderstanding: he was treating o1 as a chatbot. But what is o1, if not a chatbot? Hylak proposes a compelling alternative: It’s like a ‘report generator.’ The key lies in providing ample context and clearly defining the desired outcome. When given sufficient information and a specific objective, o1 excels at delivering comprehensive solutions in a single attempt.

The Missing Manual: How to Effectively Use o1

While OpenAI has offered guidance on prompting o1, it appears to be incomplete. This article, in essence, serves as a missing manual, offering practical insights into maximizing o1’s potential. The core principle is to move beyond simple question-and-answer interactions and instead frame requests as comprehensive report generation tasks.

Conclusion: Embracing the Future of AI-Powered Reasoning

Ben Hylak’s journey from skeptic to daily user underscores a critical evolution in our understanding of AI. o1, and similar tools like Devin, represent a departure from the limitations of traditional chat models. By recognizing these tools as report generators capable of complex reasoning and problem-solving, we can unlock their true potential and pave the way for a future where AI empowers professionals across various fields. The key takeaway is to adapt our approach, providing the necessary context and guidance to enable these powerful models to deliver insightful and actionable results.

References:

  • Hylak, B. (2024, February 7). o1 不是聊天模型. InfoQ. Retrieved from [Insert URL if available, otherwise cite as personal communication].
  • sama (2024). [Tweet about o1]. Twitter. Retrieved from https://x.com/sama/status/1877814065088663763


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