Many companies are stuck in AI experimentation despite high investment. The challenge lies in integrating AI into existing workflows and decision-making processes.
Many companies are stuck in AI experimentation despite high investment. The challenge lies in integrating AI into existing workflows and decision-making processes.
AI-generated messages are increasingly capable of persuading voters, raising concerns about the integrity of elections. This technology could reshape political views at scale.
A startup, Zanskar, has used AI to identify a blind geothermal system in Nevada, marking a significant advancement in geothermal energy exploration.
OpenAI is experimenting with language models that can confess to their mistakes, aiming to improve trustworthiness. This approach could help understand and mitigate deceptive behaviors in AI.
Amazon Web Services has launched three advanced AI agents that can autonomously code for extended periods. This development could significantly enhance coding efficiency and accuracy.
Generative AI's adoption varies widely, with some sectors seeing significant benefits while others lag behind. This disparity raises questions about its overall impact on productivity and business.
The Financial Times and MIT Technology Review discuss generative AI's uneven impact on the job market and productivity. While some sectors see benefits, many companies report minimal returns on AI investments.
Securus Technologies is testing an AI model to analyze inmate communications for crime prevention. This raises concerns about privacy and consent.
Recent news highlights the risks associated with weight-loss drugs, including potential dangers during pregnancy and their ineffectiveness for Alzheimer's. This underscores the need for more research on these medications.
The COP30 climate talks in Brazil concluded with a diluted agreement that failed to mention fossil fuels, despite urgent calls for action. This raises concerns about global commitment to addressing climate change.
MIT has launched BoltzGen, a generative AI model that creates novel protein binders for difficult diseases, enhancing drug discovery efforts.
AI is revolutionizing manufacturing by using digital twins for systemwide optimization. This shift allows for proactive problem-solving and improved efficiency.