Latent Space: The AI Engineer Podcast

⚡️GPT 4.1: The New OpenAI Workhorse

1403 snips
Apr 15, 2025
Michelle Pokrass and Josh McGrath from OpenAI dive into the exciting updates of GPT 4.1. They discuss its enhanced coding capabilities and instruction-following features, making it a developer's new best friend. The conversation touches on the innovative Nano model designed for low latency, and they share the fun of naming projects. With insights into pricing and user interaction, they emphasize the significance of community feedback in evolving AI technology. Plus, get ready for the intriguing benefits of multimodal tasks and cutting-edge reasoning enhancements!
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Codenames and Developer Feedback

  • OpenAI used codenames like "Quasar" and "Optimus" for GPT 4.1 during testing through OpenRouter.
  • This allowed for gathering valuable developer feedback while keeping the model's identity somewhat disguised.
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GPT 4.1 Positioning

  • GPT 4.1 is a significant improvement over GPT 4.0, but smaller and cheaper than GPT 4.5.
  • It doesn't beat 4.5 on all evaluations, but most developers can replace 4.5 usage with 4.1.
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Challenges of Long Context

  • Reaching a 1 million context window was challenging, requiring new evaluations for long context reasoning like MRCR and GraphWalks.
  • Simple needle-in-a-haystack tasks proved easier for models than complex reasoning across multiple documents.
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