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The error slipped through the cracks of peer review and was unknowingly repeated across nearly two dozen published studies.
April 20, 2025 at 7:08 PM
The error slipped through the cracks of peer review and was unknowingly repeated across nearly two dozen published studies.
The original phrase was electron microscopy of vegetative structures a well-established method of studying plant tissues like leaves and roots. But due to AI's inability to properly interpret text spanning multiple columns, words were jumbled together into an entirely new and nonsensical term. #AI
April 20, 2025 at 7:08 PM
The original phrase was electron microscopy of vegetative structures a well-established method of studying plant tissues like leaves and roots. But due to AI's inability to properly interpret text spanning multiple columns, words were jumbled together into an entirely new and nonsensical term. #AI
The bizarre phrase was first flagged on PubPier, an online research forum, by a Russian chemist using the pseudonym Paralabrax Clathratus. However, it was software engineer Alexander Magazinov who traced the error back to a single AI-generated mistranslation from a 1959 scientific paper. #AI
April 20, 2025 at 7:08 PM
The bizarre phrase was first flagged on PubPier, an online research forum, by a Russian chemist using the pseudonym Paralabrax Clathratus. However, it was software engineer Alexander Magazinov who traced the error back to a single AI-generated mistranslation from a 1959 scientific paper. #AI
The controversy began when scientists noticed a peculiar phrase appearing in multiple published papers: vegetative electron microscopy. On the surface, it seemed like an advanced technical term, but experts quickly realized—it made no sense. #AI #AI-error #AI-translation
April 20, 2025 at 7:08 PM
The controversy began when scientists noticed a peculiar phrase appearing in multiple published papers: vegetative electron microscopy. On the surface, it seemed like an advanced technical term, but experts quickly realized—it made no sense. #AI #AI-error #AI-translation
What began as a simple misinterpretation by AI spiraled into a shocking example of the dangers of unchecked automation in academia. The mistake, buried deep within scientific literature, went unnoticed by peer reviewers. #AI #AI-error #AI-translation
April 20, 2025 at 7:08 PM
What began as a simple misinterpretation by AI spiraled into a shocking example of the dangers of unchecked automation in academia. The mistake, buried deep within scientific literature, went unnoticed by peer reviewers. #AI #AI-error #AI-translation
So to make the initial claim is a bit problematic for me. But the rest is very interesting. Yes people will conflate AI to human cognition. But I am skeptical that the research community will make this very basic conflation. Nevertheless a interesting paper.
April 20, 2025 at 6:23 PM
So to make the initial claim is a bit problematic for me. But the rest is very interesting. Yes people will conflate AI to human cognition. But I am skeptical that the research community will make this very basic conflation. Nevertheless a interesting paper.
maybe we can reasonably claim that, studying AI in its current form in-order to understand human cognition is decreasing in its value. But there are other pathways like comparing the difference between current AI and human intelligence to further our understanding of human cognition.
April 20, 2025 at 6:23 PM
maybe we can reasonably claim that, studying AI in its current form in-order to understand human cognition is decreasing in its value. But there are other pathways like comparing the difference between current AI and human intelligence to further our understanding of human cognition.
I did read it. I am not claiming to be a perfect expert on your research. but, you are claiming "Al in current practice is deteriorating our theoretical understanding of cognition rather than advancing and enhancing it." that absolutely is not something that can be said in my opinion.
April 20, 2025 at 6:23 PM
I did read it. I am not claiming to be a perfect expert on your research. but, you are claiming "Al in current practice is deteriorating our theoretical understanding of cognition rather than advancing and enhancing it." that absolutely is not something that can be said in my opinion.
I really want to clear this up a bit. When people say AI is going to replace humans they not mean every human in the loop. It means it we reduce the number of humans needed maybe by a factor of 10. Where you needed 10 people now you only need 1. This is actually very much possible.
April 20, 2025 at 3:55 PM
I really want to clear this up a bit. When people say AI is going to replace humans they not mean every human in the loop. It means it we reduce the number of humans needed maybe by a factor of 10. Where you needed 10 people now you only need 1. This is actually very much possible.
Interesting perspective. But also to keep in mind that it is called artificial intelligence, so it needn't be a mirror of human intelligence. Besides the physical principles our human brain and AI works are completely different, so the cognition that emerge can be different.
April 20, 2025 at 3:51 PM
Interesting perspective. But also to keep in mind that it is called artificial intelligence, so it needn't be a mirror of human intelligence. Besides the physical principles our human brain and AI works are completely different, so the cognition that emerge can be different.
As AI grows more sophisticated, the next major milestone will be predicting cellular changes before they occur a shift that could propel personalized medicine further into the realm of prevention. “Biology is being transformed into a predictive science.” Rabadán says. #AI #biomedical #medicine
April 18, 2025 at 4:01 PM
As AI grows more sophisticated, the next major milestone will be predicting cellular changes before they occur a shift that could propel personalized medicine further into the realm of prevention. “Biology is being transformed into a predictive science.” Rabadán says. #AI #biomedical #medicine
Meanwhile, a team led by Columbia biostatistician Zhonghua Liu has built an AI model to identify the key genetic drivers of diseases. In a paper in Cell Genomics, he and his colleagues reported to have used the tool to pinpoint seven genetic mutations that may contribute to Alzheimer’s disease. #AI
April 18, 2025 at 4:01 PM
Meanwhile, a team led by Columbia biostatistician Zhonghua Liu has built an AI model to identify the key genetic drivers of diseases. In a paper in Cell Genomics, he and his colleagues reported to have used the tool to pinpoint seven genetic mutations that may contribute to Alzheimer’s disease. #AI
“Right now, we don’t have any reliable methods of tracking how cells evolve in response to each other over time, but that will be essential for developing better immunotherapies,” says Cameron Young Park, a PhD student in biomedical engineering who is helping to lead the project. #AI #biomedical
April 18, 2025 at 4:01 PM
“Right now, we don’t have any reliable methods of tracking how cells evolve in response to each other over time, but that will be essential for developing better immunotherapies,” says Cameron Young Park, a PhD student in biomedical engineering who is helping to lead the project. #AI #biomedical
The researchers say the tool, called DIIsco, could eventually be used both to advance research into the human immune system’s capacity for fighting cancer and to guide treatment strategies for individual patients. #AI #ArtificialIntelligence #biomedical #medicine
April 18, 2025 at 4:01 PM
The researchers say the tool, called DIIsco, could eventually be used both to advance research into the human immune system’s capacity for fighting cancer and to guide treatment strategies for individual patients. #AI #ArtificialIntelligence #biomedical #medicine
Computational biologist Elham Azizi and her team, for example, have developed a machine-learning program that describes how immune cells and cancer cells adapt to each other in their struggle for survival. #AI #ArtificialIntelligence #biomedical #medicine
April 18, 2025 at 4:01 PM
Computational biologist Elham Azizi and her team, for example, have developed a machine-learning program that describes how immune cells and cancer cells adapt to each other in their struggle for survival. #AI #ArtificialIntelligence #biomedical #medicine
Xi Fu, a PhD student in Rabadán’s lab who led the creation of GET and is now working to improve its predictions, says the team’s ultimate goal is to uncover universal principles that govern cellular behavior — something akin to “Newton’s laws of biology.” #AI #biomedical #medicine
April 18, 2025 at 4:01 PM
Xi Fu, a PhD student in Rabadán’s lab who led the creation of GET and is now working to improve its predictions, says the team’s ultimate goal is to uncover universal principles that govern cellular behavior — something akin to “Newton’s laws of biology.” #AI #biomedical #medicine
“It provides a powerful new method for studying the most fundamental questions in epigenetics,” says Rabadán. “Like, how do stem cells transform into specialized cells? How do immune cells know when it’s time to attack? How do healthy cells turn cancerous?” #AI #biomedical #medicine
April 18, 2025 at 4:01 PM
“It provides a powerful new method for studying the most fundamental questions in epigenetics,” says Rabadán. “Like, how do stem cells transform into specialized cells? How do immune cells know when it’s time to attack? How do healthy cells turn cancerous?” #AI #biomedical #medicine
“You can use the model to simulate lots of molecular interactions and identify the most promising possibilities to study with traditional methods,” he says. One potential application is for investigating how cells regulate gene expression. #AI #ArtificialIntelligence #biomedical #medicine
April 18, 2025 at 4:01 PM
“You can use the model to simulate lots of molecular interactions and identify the most promising possibilities to study with traditional methods,” he says. One potential application is for investigating how cells regulate gene expression. #AI #ArtificialIntelligence #biomedical #medicine
Using the new tool, Rabadán says, scientists can dramatically increase the speed and efficiency with which they study molecular networks. Called GET, the open-source model enables scientists to test out large numbers of hypotheses in silico before committing to time-intensive lab experiments. #AI
April 18, 2025 at 4:01 PM
Using the new tool, Rabadán says, scientists can dramatically increase the speed and efficiency with which they study molecular networks. Called GET, the open-source model enables scientists to test out large numbers of hypotheses in silico before committing to time-intensive lab experiments. #AI
Rabadán’s team recently developed a technology that could help illuminate these processes. The researchers, by training computers to sift data from millions of human cells, created an AI program that can predict how genes, proteins, and other molecules in any given cell are likely to interact. #AI
April 18, 2025 at 4:01 PM
Rabadán’s team recently developed a technology that could help illuminate these processes. The researchers, by training computers to sift data from millions of human cells, created an AI program that can predict how genes, proteins, and other molecules in any given cell are likely to interact. #AI
As AI and technologies like genetic and proteomic sequencing continue to advance, biomedical research is entering a new era — one where the body can be viewed as a vast, interconnected system of data waiting to be interpreted. #AI #ArtificialIntelligence #biomedical #medicine
April 18, 2025 at 4:01 PM
As AI and technologies like genetic and proteomic sequencing continue to advance, biomedical research is entering a new era — one where the body can be viewed as a vast, interconnected system of data waiting to be interpreted. #AI #ArtificialIntelligence #biomedical #medicine