FeaturedNeuroscience·April 13, 2024·6 min readReducing Toxic AI ResponsesResearchers developed a new machine learning technique to improve red-teaming, a process used to test AI models for safety by identifying prompts that trigger toxic responses. By employing a curiosity-driven exploration method, their approach encourages a red-team model to generate diverse and novel prompts that reveal potential weaknesses in AI systems.Read More
FeaturedNeurosciencePsychology·April 12, 2024·6 min readAI vs. Human Empathy: Machine Learning More EmpatheticAI-generated messages can make recipients feel more "heard" compared to responses from untrained humans. The research demonstrates AI's superior ability to detect and respond to human emotions, potentially providing better emotional support.Read More
FeaturedNeuroscience·April 11, 2024·5 min readAI STORIES: A New Vision for AI and NarrativesResearchers embark on the AI STORIES project to explore AI-generated narratives and their cultural impacts. The study aims to delve into how large language models (LLMs) like ChatGPT interpret and produce stories, challenging the notion that AI merely mimics human language without understanding.Read More
FeaturedNeurosciencePsychology·April 6, 2024·5 min readAI Personalities Evolve in Game Theory ExperimentResearchers innovated a method to evolve diverse personality traits in dialogue AI using a language model and the prisoner's dilemma game. By simulating scenarios where AI agents choose between cooperation and self-interest, the study demonstrates the potential of AI to mimic complex human behaviors.Read More
FeaturedNeurosciencePsychology·April 3, 2024·5 min readBridging Motivation Gaps: LLMs and Health Behavior ChangeA new study explores how large language models (LLMs) like ChatGPT, Google Bard, and Llama 2 address different motivational states in health-related contexts, revealing a significant gap in their ability to support behavior change.Read More
FeaturedNeuroscience·February 12, 2024·6 min readCan AI Be Controlled?Dr. Roman V. Yampolskiy, an AI Safety expert, warns of the unprecedented risks associated with artificial intelligence in his forthcoming book, AI: Unexplainable, Unpredictable, Uncontrollable. Through an extensive review, Yampolskiy reveals a lack of evidence proving AI can be safely controlled, pointing out the potential for AI to cause existential catastrophes.Read More
FeaturedNeuroscience·February 9, 2024·3 min readRevolutionizing Neuroscience with AI CollaborationA new study presents a compelling case for the integration of Large Language Models (LLMs) like ChatGPT into neuroscience, highlighting their potential to transform research by analyzing vast datasets beyond human capability. The authors suggest that LLMs can bridge diverse neuroscience fields by communicating with each other, thus accelerating discoveries in areas such as neurodegeneration drug development.Read More
Neuroscience·February 7, 2024·4 min readAI: Unveiling Mysteries of Faith and ReligionAI is revolutionizing how we engage with ancient faith texts and spirituality, making previously inaccessible texts available through advanced technologies like 3D X-ray imaging and language models. Researchers demonstrated this by deciphering burnt papyrus from AD 79 using AI, while startups are creating AI-Gurus for guiding through Sanskrit texts. However, the technology also poses risks of misinformation, as seen in the creation of deepfake images.Read More
FeaturedNeurosciencePsychology·January 17, 2024·4 min readUniversal Emotional Hubs in LanguageResearchers made a breakthrough in understanding the universality of emotions across languages by using colexification analysis, a method of studying word associations. Their study identifies four central emotion-related concepts - "GOOD," "WANT," "BAD," and "LOVE" - as having the highest number of associations with other emotional words in multiple languages. This finding aligns with traditional semantic methods and natural semantic metalanguage (NSM), reinforcing the universality of these emotions.Read More
FeaturedNeuroscience·December 7, 2023·6 min readAI’s Vulnerability to Misguided Human ArgumentsA new study reveals a significant vulnerability in large language models (LLMs) like ChatGPT: they can be easily misled by incorrect human arguments. Researchers engaged ChatGPT in debate-like scenarios, finding that it often accepted invalid user arguments and abandoned correct responses, even apologizing for its initially correct answers.Read More
