OpenAI announced the development of the GPT-4b micro model in collaboration with Retro Biosciences, aiming to push the boundaries of biology and cellular reprogramming. Although promising, this model still requires scientific validation before confirming its effectiveness and its impact on science and human longevity.
Sam Altman announces “ unexpected scientific results ” thanks to AI
OpenAI announces that it has trained a new Artificial Intelligence (AI) model called “GPT-4b micro” with longevity startup Retro Biosciences.
Since the late 1960s, biological researchers have been interested in the crucial role of molecules in the processes essential to life. It was only from 2020 that AI software developed by Google DeepMind, called AlphaFold, began to provide some answers.
It’s the turn of the now very famous OpenIA to enter the game of science and push the limits of what humans have accomplished to date.
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Across the board, proteins appear better than scientists could produce on their own
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Last week, OpenAI CEO Sam Altman publicly stated for the first time that he had obtained “ unexpected scientific results » thanks to an AI model based on biological data. This announcement represents a major step on the path to “ artificial general intelligence ».
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GPT-4b micro: A new frontier in cellular reprogramming
Retro Biosciences aims to extend the normal human lifespan by 10 years. To do this, the latter studies what we call the Yamanka factors. It is actually a set of proteins capable of reprogramming a human skin cell into a youthful-looking stem cell.
These cells have the ability to differentiate into any type of specific cell in the human body, such as muscle, nerve, or even heart cells. This property makes them essential for regenerating damaged tissues, creating replacement organs or developing new treatments against degenerative diseases.
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Precisely how GPT-4b works and how it reaches its conclusions remains unclear, a common occurrence with AI models. “ It’s a bit like AlphaGo, which beat the best Go player: it took a while to understand why », Explains Joe Betts-Lacroix, general manager of Retro Biosciences.
We’re still discovering what this model can actually do, and we think we’re only exploiting a tiny part of it.
However, today, this technique of “ reprogramming cellular » remains ineffectiverequiring several weeks to achieve a result, with less than 1% of treated cells reaching the final stage of rejuvenation in a laboratory.
In addition, the model is not yet accessible for wider use: it remains a demonstration to prove the seriousness of this contribution to science and not an official product launch, recalls Aaron Jaech, one of the main developers of the GPT-4b micro model.
External scientists will have to wait for the results to be published; this step of transparency is essential to allow independent validation and ensure that the results are not based on bias or error. Without this validation, the announcements remain for the time being promises awaiting concrete proof.
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Source : MIT Technology Review
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