We Need to be Ready for Biotech’s ChatGPT Moment

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Doris Cruz works on a sample in the labs of Ring Therapeutics, a biotech company that is conducting significant research on anelloviruses.

Schmidt, Commissioner, National Security Commission on Emerging Biotechnology; Co-founder with his wife Wendy, Schmidt Sciences; Former CEO & Chairman, Googlemagine a world where everything from plastics to concrete is produced from biomass. Personalized cell and gene therapies prevent pandemics and treat previously incurable genetic diseases. Meat is lab-grown; enhanced nutrient grains are climate-resistant. This is what the future could look like in the years ahead.

Like the digital revolution, the biotech revolution stands to transform America’s economy as we know it—and it’s coming faster than we expect, turbocharged by AI. Recent advances in biotech are unlocking our ability to program biology just as we program computers. Just like OpenAI’s ChatGPT trains on human language input to come up with new text, AI models trained on biological sequences could design novel proteins, predict cancer growth, and create other useful consumables.

America has a history of being the first mover in an emerging industry before losing its leadership when outsourcing its production to other parts of the world. This pattern has repeated itself in high-tech sectors like passenger cars, consumer electronics, solar panels, and, most notably, semiconductors.

As AI boosts our ability to engineer biology, we will need guardrails in place. While it’s easy to conjure doomsday scenarios of lone-wolf amateurs building a bioweapon from scratch right from home, studies by Rand Corporation and OpenAI have argued that current large language models like ChatGPT do not significantly increase the risk of the creation of a biological threat, as they don’t provide new information beyond what is already on the internet.

 

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