OpenAI Unveils GPT-4b Micro, a Custom-Built AI Model for Biological Research

Sophia Steele

Sophia Steele

January 17, 2025 · 2 min read
OpenAI Unveils GPT-4b Micro, a Custom-Built AI Model for Biological Research

OpenAI, a leading artificial intelligence research organization, has announced the development of GPT-4b micro, a custom-built AI model specifically designed for biological research. This innovative model is the result of a year-long collaboration with Retro Biosciences, a longevity science startup backed by Sam Altman, which aims to extend the human lifespan by 10 years.

The GPT-4b micro model is focused on re-engineering a specific set of proteins called the Yamanaka factors, which have the potential to turn human skin cells into young-seeming stem cells. This breakthrough could pave the way for the creation of human organs and provide a reliable supply of replacement cells, according to Retro Biosciences.

While the GPT-4b micro model shares some similarities with Google's Nobel prize-winning Alphafold, which predicts the shape of proteins, it is OpenAI's first model custom-built for biological research. This distinction highlights the model's unique capabilities and potential applications in the field of longevity science.

OpenAI and Retro Biosciences have announced plans to release research on the GPT-4b micro model and its outputs, providing valuable insights into the model's capabilities and potential impact on the field. This transparency will enable the scientific community to further explore the possibilities of AI-driven biological research and its potential to revolutionize healthcare.

The development of GPT-4b micro marks a significant milestone in the intersection of AI and biological research, demonstrating the potential for AI models to drive innovation in the life sciences. As the research community continues to explore the possibilities of this technology, the implications for human health and longevity could be profound.

With the collaboration between OpenAI and Retro Biosciences, the future of biological research looks increasingly promising. As AI continues to play a larger role in driving scientific breakthroughs, the potential for meaningful advancements in human health and longevity appears more tangible than ever.

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