OpenAI announced in cooperation with Retro Biosciences startup a new artificial intelligence model named GPT-4b micro has taught that it aims to find a way to add 10 years to Human lifespanset
Sam Altman-backed startup Retro has been working with OpenAI on the project for almost a year, according to MIT Technology Review. The GPT-4b micro model attempts to re-engineer proteins that can transform human skin cells into youthful stem cells.
Retro believes that these proteins are a promising step towards building human organs and providing replacement cells. This is the first OpenAI model focused on biological data, and the startup claims it can produce unexpected scientific results. According to this report, the connection between these 2 companies was not completely accidental; Because Sam Altman, CEO of OpenAI, personally 180 million dollars Contributed to Retro.
How to increase longevity with OpenAI artificial intelligence
Retro’s main goal of this project is to increase the natural life expectancy of humans by 10 years, and to realize it, “Yamanaka factors” (Yamanaka) studies. Yamanaka factors are a set of proteins that, when added to a human skin cell, create a young stem cell that can produce any other tissue in the body.
Retro and other companies such as Altos Labs have called this phenomenon a possible starting point for rejuvenating animals, making organs for humans or providing replacement cells, but the realization of this program is not very efficient. In fact, re-engineering them in the laboratory takes several weeks, and less than 1% of laboratory cells result in rejuvenation.
The GPT-4b micro AI model provides ways to re-engineer proteins to increase their function. OpenAI says based on preliminary test data of its model, researchers have been able to make Yamanaka’s 2 factors more than 50% more effective using the model’s suggestions.
Google also has the AlphaFold artificial intelligence model that can predict the structure of proteins. Of course, the models of these two companies have different functions.
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