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Sam Altman Discusses the ‘Bumpy’ Launch of GPT-5, Reintroducing GPT-4, and the ‘Chart Crime’ Controversy

Sam Altman Discusses the ‘Bumpy’ Launch of GPT-5, Reintroducing GPT-4, and the ‘Chart Crime’ Controversy

OpenAI’s Sam Altman Addresses GPT-5 Feedback During Reddit AMA

In a recent Reddit AMA, OpenAI CEO Sam Altman and the GPT-5 team faced a flurry of inquiries regarding the new model and received calls to reinstate the previous GPT-4o.

Funniest Blunder: The Infamous “Chart Crime”

One of the light-hearted moments came when Altman was asked about a notable misstep during their presentation, referred to as the “chart crime.”

Revolutionary Features of GPT-5

GPT-5 introduced an innovative real-time router that determines the best model for each prompt, allowing for rapid responses or more thoughtful, slower replies.

User Concerns: Perceived Drop in Performance

Many users expressed dissatisfaction with GPT-5’s performance compared to GPT-4o during the AMA. Altman explained that initial issues with the router compromised the model’s effectiveness upon launch.

Commitment to Improvement

Altman stated, “GPT-5 will appear smarter starting today.” He acknowledged that a technical incident had affected performance and assured users of ongoing adjustments to enhance model selection transparency.

Looking into GPT-4o’s Return

Due to significant user demand, Altman announced that OpenAI is exploring the possibility of allowing Plus subscribers to continue using GPT-4o while gathering data on potential trade-offs.

Increased Rate Limits for Plus Users

To aid user adaptation to GPT-5, Altman revealed plans to double rate limits for Plus users as the rollout progresses, ensuring they can explore the new model without stress over prompt availability.

Addressing the “Chart Crime” Incident

Altman was also queried about the misleading chart presented, which sparked a wave of humorous commentary online. The chart displayed a lower benchmark score with an exaggerated representation, earning the “chart crime” nickname.

OpenAI's GPT-5 chart error
OpenAI’s GPT-5 “chart crime.”
Image Credits:OpenAI

Promises for Future Stability

Although Altman did not specifically address chart-related questions during the AMA, he previously acknowledged the error as a “mega chart screwup” and pointed out that corrected charts were available in the official blog post.

Despite the initial hiccups, Altman assured users of his team’s commitment to stability and responsiveness, concluding the AMA with a pledge to continue addressing feedback and enhancing GPT-5.

Here are five FAQs based on the topics mentioned regarding Sam Altman’s address on the GPT-5 rollout, the return of 4o, and the "chart crime":

FAQ 1: What did Sam Altman say about the GPT-5 rollout?

Answer: Sam Altman acknowledged that the rollout of GPT-5 encountered some challenges, describing it as “bumpy.” He emphasized the importance of learning from these issues to improve future releases and enhance user experience.

FAQ 2: Why was GPT-4o brought back?

Answer: The decision to bring back GPT-4o was made in response to feedback from users who found it more stable and reliable compared to GPT-5. Altman noted that while progress is essential, ensuring user satisfaction is a top priority.

FAQ 3: What is the "chart crime" that Sam Altman referred to?

Answer: The "chart crime" refers to specific data visualization errors that arose during the rollout of GPT-5. Altman pointed out that these inaccuracies could mislead users and emphasized the organization’s commitment to accuracy and reliability in all outputs.

FAQ 4: How does Sam Altman plan to address the issues with GPT-5?

Answer: Altman mentioned plans to gather user feedback actively and implement iterative improvements. He indicated that the team is focused on addressing the technical glitches and usability issues that arose during the initial rollout.

FAQ 5: What can users expect in future updates following Altman’s comments?

Answer: Users can expect ongoing improvements based on feedback, enhancements aimed at stability, increased reliability in data presentation, and better overall user experience as the development team learns from the current rollout.

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