It is Now Possible To Get Real Meat Without Hurting a Single Animal
Is this new revolution going to change the world of meat as we know it? Are we going to become a world where we have ‘meat makers’ rather than animal farmers?
Is this new revolution going to change the world of meat as we know it? Are we going to become a world where we have ‘meat makers’ rather than animal farmers? The majority of the worldwide population are meat eaters, and that is not going to change anytime soon, but what may change is the way in which this delicious meat that is served upon is made.
Memphis Meats is a company that is doing away with the traditional style of animal farming and embracing a whole new wave of meat manufacturing. They are looking to rid the problems and health risks associated with agricultural farming such as excessive use of antibiotics and other ‘enhancing’ chemicals and the risk of contracting E. Coli or bird flu.
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In using meat cells, rather than the actual animal, to produce our carnivorous delights, all of these associated health risks disappear. The cells already present in the meats have the ability to self-renew and as part of the process they are fed rich nutrients which allow them to develop into delicious meats. No more slaughtering or gutting of meat!
In using meat manufacturing techniques this way a more tasty, more healthy product than the current way in which meat is produced and saving the lives of millions of animals at the same time. Farmers may no longer have to rear the animals, but man production lines instead which would cost far less and produce far more than any of the traditional farming methods.
Memphis Meats produced the world’s first cultured meatball using their revolutionary processes, and that is just the beginning for them. They are hopeful to bring this form of meat manufacturing to everyone worldwide and create a new culture of farming, so watch this space.
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Daniel Okafor
Daniel Okafor is the Senior AI Reporter at TrendinTech, where he covers large language models, machine learning research and the practical use of artificial intelligence across business and government. He previously reported on artificial intelligence for MIT Technology Review, covering the labs behind the current generation of frontier models and the policy debates in Washington and Brussels. Daniel holds a Master of Science in Machine Learning from Carnegie Mellon University and follows the research community closely, attending NeurIPS and ICML each year to speak with the people behind the papers. He has a particular interest in evaluation: how models are benchmarked, where those benchmarks fail and what that means for the companies betting on them.
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