OpenAI’s GPT-4: A 70-Year Old Lesson! | Summary and Q&A

May 9, 2023
Two Minute Papers
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OpenAI’s GPT-4: A 70-Year Old Lesson!


GPT-4, an AI with only textual knowledge, has demonstrated the ability to navigate mazes, generate images, and perform complex mathematical calculations, but struggles with simple arithmetic and inconsistent responses.

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Key Insights

  • ❓ The development of GPT-4 AI showcases significant advancements in natural language processing and image generation.
  • ⁉️ The AI's reliance on specific prompts reveals the importance of carefully formulating questions to maximize accuracy.
  • 👨‍🔬 GPT-4's mathematical prowess emphasizes the potential for AI to contribute to mathematical research and problem-solving.
  • 😀 The AI's occasional inconsistency and inability to solve simple arithmetic problems serve as reminders of the limitations and challenges faced in AI development.
  • 👾 GPT-4's capabilities have real-world applications in various fields such as computer vision, storytelling, and game development.
  • 👤 The deployment of GPT-4 in ChatGPT enables users to experience AI-generated assistance in real-time.
  • 👨‍🔬 GPT-4's shortcomings highlight the need for ongoing research and development to improve the capabilities and reliability of AI systems.


Dear Fellow Scholars, this is Two Minute  Papers with Dr. Károly Zsolnai-Fehér. I was really looking forward to this paper. This  says that GPT-4, an AI has perhaps a spark of   intelligence. That is a huge claim, and when we  looked into this paper earlier, we saw that it   can do incredible things. It finds its way around  in an imaginary maze, a... Read More

Questions & Answers

Q: How does GPT-4's ability to generate images from textual descriptions impact the field of computer vision?

GPT-4's image generation capabilities are groundbreaking because it demonstrates the AI's understanding of visual concepts despite its lack of exposure to actual images. This can revolutionize computer vision research and applications.

Q: Why does GPT-4 give inconsistent answers to different questions?

The inconsistency stems from the AI's reliance on specific prompts that may or may not explicitly guide its thought process. Depending on the prompt, GPT-4 may have a step-by-step thinking approach, leading to more accurate results.

Q: What is the significance of GPT-4's mathematical abilities?

GPT-4's mathematical skills on par with elite human mathematicians show the AI's potential to assist with complex problem-solving and mathematical research, opening up new avenues for collaboration between humans and machines.

Q: How does GPT-4's inability to solve simple arithmetic problems impact its overall capabilities?

While GPT-4 excels in several areas, its failure to solve basic arithmetic problems raises concerns about its general competency and highlights the limitations of solely text-based training for AI models.

Summary & Key Takeaways

  • GPT-4, an AI trained only on text, can navigate imaginary mazes and create maps.

  • It can generate images despite never having seen one before, showcasing its incredible capabilities.

  • The AI possesses high mathematical skills comparable to the International Mathematical Olympiad.

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