Pentagon whistleblowers shared explosive claims of alien technology defying laws of physics and pushback from military leadership against those reporting such sightings. The House Oversight Committee held a hearing titled “Unidentified Anomalous Phenomena: Implications on National Security, Public Safety, and Government Transparency” on Wednesday. Three witnesses took part in the hearing – David Grusch, a former intelligence official and whistleblower who said last month that the US has “intact and partially intact” alien vehicles, David Fravor, an ex-Navy commander who reported spotting seeing an object flying across the sky during a 2004 training mission, and Ryan Graves, a retired Navy pilot who appeared on CBS’s 60 Minutes in 2021 saying that he had spotted unidentified aerial phenomena off the Atlantic coast “every day for at least a couple years”. Mr Grousch claimed that individuals have been injured while working on reverse engineering UFOs, but he said he couldn’t get into specifics of how that happened, adding that that “non-human biologics” were found along with recovered crafts. Mr Graves said that he estimates that 95 per cent of UFO sightings by pilots go unreported, citing fear of repercussions. Read More Republican lawmaker claims US is ‘hiding evidence’ of UFOs which ‘defy physics as we know it’ Why a Harvard professor thinks he may have found fragments of an alien spacecraft An Area 51 blogger was raided at gunpoint by federal agents. He says the US Government is trying to silence him Congressman asks UFO whistleblower if anyone has been ‘murdered’ to maintain alleged coverup Whistleblower tells Congress the US is concealing 'multi-decade' program that captures UFOs

By Mike Segar NEWARK, NEW JERSEY (Reuters) -Two New Jersey firefighters were killed and five injured while battling an intense

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Robots could soon take over doctors’ jobs, according to experts. A recent study found that AI technology was able to accurately diagnose patients in a healthcare setting. Investigators found the controversial model ChatGPT to be nearly 72 per cent accurate in making clinical decisions. It was also 77 per cent accurate in making final diagnoses. It was able to come up with possible diagnoses, final diagnoses and care management decisions. The artificial intelligence chatbot was found to perform equally well in both primary care and emergency settings. Researchers at Mass General Brigham in Boston, Massachusetts conducted the study. They tested how ChatGPT would be able to work through an entire clinical encounter with a patient. This included recommending a diagnostic workup, deciding the clinical management course, and ultimately making the final diagnosis. It was tested by putting 36 published clinical descriptions into ChatGPT. Patient gender, age and symptoms were put into the language model. ChatGPT was then given further information and asked to make management decisions and a final diagnosis. This simulates the process of seeing a real patient. However, scientists also found it was less accurate - 60 per cent - at making several possible diagnoses. Co-author Marc Succi said: “Our paper comprehensively assesses decision support via ChatGPT from the very beginning of working with a patient through the entire care scenario, from differential diagnosis all the way through testing, diagnosis, and management. ”No real benchmarks exist, but we estimate this performance to be at the level of someone who has just graduated from medical school, such as an intern or resident. ”This tells us that LLMs in general have the potential to be an augmenting tool for the practice of medicine and support clinical decision making with impressive accuracy.” The research team say they will soon be looking at whether AI tools can improve patient care and outcomes in resource-constrained areas of hospitals. Sign up for our free Indy100 weekly newsletter Have your say in our news democracy. Click the upvote icon at the top of the page to help raise this article through the indy100 rankings.

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