This paper introduces EVINCE (Entropy and Variation IN Conditional Exchanges), a dialogue framework advancing Artificial General Intelligence (AGI) by enhancing versatility, adaptivity, and reasoning in large language models (LLMs). Leveraging adversarial debate and a novel dual entropy theory, EVINCE improves prediction accuracy, robustness, and stability in LLMs by integrating statistical modeling, information theory, and machine learning to balance diverse perspective exploration with strong prior exploitation. The framework's effectiveness is demonstrated through consistent convergence of information-theoretic metrics, particularly improved mutual information, fostering productive LLM collaboration. We apply EVINCE to healthcare, showing improved disease diagnosis, and discuss its broader implications for decision-making across domains. This work provides theoretical foundations and empirical validation for EVINCE, paving the way for advancements in LLM collaboration and AGI development.

Misdiagnosis is a significant issue in healthcare, leading to harmful consequences for patients. The propagation of mislabeled data through machine learning models into clinical practice is unacceptable. This paper proposes EVINCE, a system designed to 1) improve diagnosis accuracy and 2) rectify misdiagnoses and minimize training data errors. EVINCE stands for Entropy Variation through Information Duality with Equal Competence, leveraging this novel theory to optimize the diagnostic process using multiple Large Language Models (LLMs) in a structured debate framework. Our empirical study verifies EVINCE to be effective in achieving its design goals.

Despite some promising numbers, we still can't be sure whether VR will reach mass consumer adoption within the next few years, or if it risks falling off yet again. If VR does seem to be hitting its big stride, what content should we expect to see? To hazard a guess, let's quickly review the timeline of virtual reality. As early as 1929, Link Trainer, a flight simulator, was built for safely training WWII pilots. In 1989, NASA applied that idea to space.

Virtual Reality (VR) can cause an unprecedented immersion and feeling of presence yet a lot of users experience motion sickness when moving through a virtual environment. Rollercoaster rides are popular in Virtual Reality but have to be well designed to limit the amount of nausea the user may feel. This paper describes a novel framework to get automated ratings on motion sickness using Neural Networks. An application that lets users create rollercoasters directly in VR, share them with other users and ride and rate them is used to gather real-time data related to the in-game behaviour of the player, the track itself and users' ratings based on a Simulator Sickness Questionnaire (SSQ) integrated into the application. Machine learning architectures based on deep neural networks are trained using this data aiming to predict motion sickness levels. While this paper focuses on rollercoasters this framework could help to rate any VR application on motion sickness and intensity that involves camera movement. A new well defined dataset is provided in this paper and the performance of the proposed architectures are evaluated in a comparative study.

Fully autonomous cars could make your travel time a lot more productive in the coming years--just think of all the things you could do if you didn't have to pay attention to driving. Though they're not that common yet, self-driving cars are moving toward consumer use, with companies like Google's Waymo testing them out on public roads. And these cars are likely to inflate the problem of motion sickness, which is caused when a person's eyes and inner ears send conflicting signals to the brain: the ear detects the motion of the automobile, but the eye sees the stationary surroundings of the interior. Driving helps mitigate the effects because it helps to constantly observe outside movement, but autonomous cars would take that crutch away. Without the need for a driver, it may also be more challenging for passengers to anticipate the car's motion and more likely that riders will be facing backwards or sideways rather than straight ahead--both things that can make you want to hurl.

When Microsoft showed off Minecraft for the Oculus Rift last fall, the experience was quite realistic--and so was the nausea. On Monday, Microsoft said it's begun shipping the VR version of Minecraft to everyone, complete with two important tweaks that should help reduce VR vertigo. Microsoft began shipping a free update to Minecraft: Windows 10 Edition Beta on Monday that added VR support for the Oculus Rift. It's actually the second VR-specific update Microsoft and developer Mojang have released for Minecraft, following the Minecraft for Gear VR edition the company released in May. "Simulator sickness," one of the names given to the sort of nausea that can accompany virtual reality software, depends on a number of factors, all of which boil down to convincing your brain that what you're seeing is actually "real," rather than an illusion that should be dispelled.