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AI Does Something Subtly Bizarre If You Make Typos While Talking to It

New research suggests that medical AI chatbots are woefully unreliable at understanding how people actually communicate their health problems.

As detailed in yet-to-be-peer-reviewed study presented last month by MIT researchers, an AI chatbot is more likely to advise a patient not to seek medical care if their messages contained typos. The errors AI is susceptible to can be as seemingly inconsequential as an extra space between words, or if the patient used slang or colorful language. And strikingly, women are disproportionately affected by this, being wrongly told not to see a doctor at a higher rate than men.

People Are Rizzing on Tinder Using ChatGPT, Then Showing Up to Dates Completely Tongue-Tied

And with the advent of generative AI, that bleak landscape of modern dating is continuing to evolve in dystopian — and perhaps predictable — ways.

As the Washington Post reports, a 31-year-old named Richard Wilson was startled when his date “had none of the conversational pizzazz she had shown over text.”

Her messages had included “long, multi-paragraph messages” and acknowledgments of “each of his points.” But in person she lacked those conversational chops, and when she mentioned that she used ChatGPT “all the time” for work, the pieces started to fall into place for Wilson.

A system for embedding invisible digital information in printed documents

A team of researchers from Universidad Carlos III de Madrid (UC3M), the Massachusetts Institute of Technology (MIT) and Adobe Research have presented Imprinto, a system for embedding invisible digital information in printed documents using infrared ink and a special camera. This technology introduces a new generation of hybrid interfaces between paper and augmented reality.

The tool, recently presented at the Conference on Human Factors in Computing Systems (CHI 2025) held in Yokohama, Japan, has been developed with the aim of enabling advanced interaction with physical documents, without altering their visual appearance. The study is published in the Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems.

“Imprinto uses an infrared ink that is invisible to the human eye but detectable by means of a near-infrared camera, such as those that can be integrated into by simply modifying the photographic sensor,” explains one of the driving forces behind the project, Raúl García Martín, from UC3M’s Department of Electronic Technology.

Real-time trial shows AI could speed cancer care

A new study by researchers at the Icahn School of Medicine at Mount Sinai, Memorial Sloan Kettering Cancer Center, and collaborators, suggests that artificial intelligence (AI) could significantly improve how doctors determine the best treatment for cancer patients—by enhancing how tumor samples are analyzed in the lab.

The findings, published in Nature Medicine, showed that AI can accurately predict genetic mutations from routine pathology slides—potentially reducing the need for rapid genetic testing in certain cases.

The paper is titled “Enhancing Clinical Genomics in Lung Adenocarcinoma with Real-World Deployment of a Fine-Tuned Computational Pathology Foundation Model.”

Gene-based nanotherapy offers targeted approach to drug-resistant Candida infections

Candida, a type of fungus, can spread throughout the body via the bloodstream, leading to organ damage and sepsis. Recently, the incidence of candidiasis has surged due to the increase in immunosuppressive therapies, medical implants, and transplantation.

Scientists provide clear observation of spin and density modes in a two-component fluid of light

Recent physics studies have found that light can sometimes flow in unexpected ways, behaving like a so-called “superfluid.” Superfluids, such as ultracold atomic gases or helium-4 below specific temperatures, are phases of matter characterized by flowing behavior with zero viscosity (i.e., with no resistance).

Major autism study uncovers biologically distinct subtypes, paving the way for precision diagnosis and care

Researchers at Princeton University and the Simons Foundation have identified four clinically and biologically distinct subtypes of autism, marking a transformative step in understanding the condition’s genetic underpinnings and potential for personalized care.

Analyzing data from over 5,000 children in SPARK, an cohort study, the researchers used a computational model to group individuals based on their combinations of traits.

The team used a “person-centered” approach that considered a broad range of over 230 traits in each individual, from social interactions to to developmental milestones, rather than searching for to single traits.

Ultra-processed foods linked to higher chronic disease risks, even at low intake

Even in moderation, consumption of ultra-processed foods is linked with measurable increases in risk for chronic diseases, according to research from the Institute for Health Metrics and Evaluation at the University of Washington. Processed meat, sugar-sweetened beverages (SSBs), and trans fatty acids (TFAs) were associated with an increased disease risk, such as type 2 diabetes, ischemic heart disease (IHD), and colorectal cancer.

Multiple previous studies have linked ultra-processed foods, particularly processed meats, sugar-sweetened beverages, and trans fatty acids, with elevated chronic disease risks. Estimates suggest that diets high in processed meat contributed to nearly 300,000 deaths worldwide in 2021, while diets rich in sugar-sweetened beverages and trans fats accounted for millions of disability-adjusted life years.

Processed meats preserved through smoking, curing or chemical additives often contain compounds such as N-nitroso agents, and heterocyclic amines—compounds implicated in tumor development.

Genome editing enables mice to produce their own weight-loss drug for months

Weight-loss drugs have surged in popularity, promising rapid results with regular injections. Now, researchers from Japan report a way for the body to make its own weight-loss drugs, doing away with injections in favor of a one-time treatment.

In the study, “Targeted In Vivo Gene Integration of a Secretion-Enabled GLP-1 receptor agonist Reverses Diet-induced Non-genetic Obesity and Pre-diabetes,” published in Communications Medicine, researchers from the University of Osaka reveal a modified genome editing approach to tackle noncommunicable, multifaceted diseases.

The approach introduced a new protein-coding gene, rather than attempting to correct a mutation in an existing gene and could be the key to lifelong effective weight management.