Artificial Intelligence (AI) software company OpenAI is being investigated by a Senate committee following allegations of compromising safety protocols during the rush to launch its latest AI model GPT-4 Omni, as well as imposing restrictive employee non-disclosure agreements (NDAs). The allegations were raised in a Washington Post report and by whistleblowers, including experts from OpenAI’s…
OpenAI, a pioneering AI enterprise, finds itself facing an inquiry from five US senators over allegations of compromised safety protocols. The investigation, led by Brian Schatz (D-Hawaii), requests comprehensive information about OpenAI's safety practices and its employee agreements. These allegations against OpenAI were triggered by a Washington Post report that suggested safety protocols may have…
Large Language Models (LLMs) have shown vast potential in various critical sectors, such as finance, healthcare, and self-driving cars. Typically, these LLM agents use external tools and databases to carry out tasks. However, this reliance on external sources has raised concerns about their trustworthiness and vulnerability to attacks. Current methods of attack against LLMs often…
General circulation models (GCMs) are crucial in weather and climate prediction. They work using numerical solvers for big scale dynamics and parameterizations for smaller processes like cloud formation. Despite continuous enhancements, difficulties still persist, including errors, biases, and uncertainties in long-term weather projections and severe weather events. Recently introduced machine-learning models have shown excellent results…
MIT engineers have identified new materials that could be more efficient conductors of protons – the nucleus of a hydrogen atom – which could pave the way for a number of climate-protecting technologies. Today's proton-conducting materials require very high temperatures, but lower-temperature alternatives could boost new technologies such as fuel cells that produce clean electricity…
As AI models become increasingly integrated into various sectors, understanding how they function is crucial. By interpreting the mechanisms underlying these models, we can audit them for safety and biases, potentially deepening our understanding of intelligence. Researchers from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) have been working to automate this interpretation process, specifically…
