You provide a lot of examples of companies and studies already using various flavors of AI, ML—and in many cases things get thin enough that feels like they are using AI-washed databases and simulations. At the risk of getting cynical, the take I end up with is “lots of companies and studies have been using software and statistics for years to develop alternative proteins, and many are happy to embrace AI-washing”.
This feels ironic given that you yourself mention AI-washing as a risk.
So I guess my question is, why the AI focus in the post, and what is the future implication that I’m missing?
Thanks! I think your cynical take could be pretty accurate. From what I can tell, the alt protein industry is only making limited use of AI at the moment and no current applications seem like major game-changers. But at least in theory I’d expect increasingly advanced AI to significantly accelerate progress in this area given its potential for speeding up research and development more broadly, so my goal with this research was to try to get a sense for the kinds of specific use cases that might be particularly promising in the future as general AI capabilities improve and as companies/researchers find ways to address the various bottlenecks I mention. There’s very limited research on AI and alt proteins and I had to rely a lot on general media coverage, which is obviously pretty limited and skewed, so I’m planning to talk more to experts in the area to get a better sense for this, which I might turn into a follow-up post at some point if it seems helpful.
Thank you for this interesting post.
You provide a lot of examples of companies and studies already using various flavors of AI, ML—and in many cases things get thin enough that feels like they are using AI-washed databases and simulations. At the risk of getting cynical, the take I end up with is “lots of companies and studies have been using software and statistics for years to develop alternative proteins, and many are happy to embrace AI-washing”.
This feels ironic given that you yourself mention AI-washing as a risk.
So I guess my question is, why the AI focus in the post, and what is the future implication that I’m missing?
Thanks! I think your cynical take could be pretty accurate. From what I can tell, the alt protein industry is only making limited use of AI at the moment and no current applications seem like major game-changers. But at least in theory I’d expect increasingly advanced AI to significantly accelerate progress in this area given its potential for speeding up research and development more broadly, so my goal with this research was to try to get a sense for the kinds of specific use cases that might be particularly promising in the future as general AI capabilities improve and as companies/researchers find ways to address the various bottlenecks I mention. There’s very limited research on AI and alt proteins and I had to rely a lot on general media coverage, which is obviously pretty limited and skewed, so I’m planning to talk more to experts in the area to get a better sense for this, which I might turn into a follow-up post at some point if it seems helpful.