BALTIMORE, MD, April 1, 2025 – Can we really trust AI to make better decisions than humans? A new study says … not always. Researchers have discovered that OpenAI’s ChatGPT, one of the most advanced and popular AI models, makes the same kinds of decision-making mistakes as humans in some situations – showing biases like overconfidence of hot-hand (gambler’s) fallacy – yet acting inhuman in others (e.g., not suffering from base-rate neglect or sunk cost fallacies).
You are swimming in an ocean of data and don’t even realize it. All around you are invisible amounts of data that would be staggering to try to comprehend. Thousands of smartphones and smart devices are talking to, sending and downloading vast amounts of data, video, audio, words, numbers, images, you name it. Everything from the latest movie on Netflix to someone’s radiology results from a cancer screening.
Mom-and-pop businesses are trying to adapt to the soaring cost of eggs. The owners of four egg-centric restaurants across the country show how they are coping with this threat to their livelihoods.
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As coronavirus ravages the U.S. population, the disease may be taking uninfected people with it. More people died from March through May this year than died last year, even after stripping out the numbers of people who have succumbed to COVID-19, according to a new study out of the University of Illinois at Urbana-Champaign.
Researchers have identified increases in deaths during the pandemic compared with previous years. Although this is not surprising in itself, many of these excess deaths are not due to COVID-19. The authors of a new study took a look at the demographics of this increase.
The seven-day University of Wisconsin coronavirus percent positive rose to 2.9% on Wednesday. UW’s two largest residence halls, Sellery and Witte, required mandatory testing Monday amid these rising cases. University Spokesperson Meredith McGlone said in an interview the Wisconsin State Journal that UW has modified the testing process to quickly identify rises in cases and case clusters.
As COVID-19 cases, hospitalizations and deaths surge, experts see no sign of the increases slowing down unless there are some major changes. “It took about seven and a half months or so get to the first 100,000 cases in Wisconsin,” said Ajay Sethi, assistant professor in the Department of Population Health Sciences at the University of Wisconsin-Madison. “It took about 36 days only to get the next 100,000 cases. We’re on track to getting the next 100,000 cases 20 days later.”
With COVID-19 cases increasing in 46 states, 10 of which broke single-day records for new cases on Thursday, America has officially entered what experts refer to as the “exponential” phase of spread — a rapid multiplying of cases that can’t be contained through traditional measures. On Thursday alone, the U.S. saw 160,000 new cases of the virus, more than any day since the pandemic began.
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