Google and research partners have announced a dramatic development in interspecies communication with the unveiling of DolphinGemma, an AI model designed to understand and generate dolphin vocalizations. On National Dolphin Day, Google highlighted its collaboration with Georgia Tech and the Wild Dolphin Project (WDP). WDP’s extensive, decades-long dataset of dolphin sounds fueled the AI’s training. DolphinGemma identifies, predicts, and even mimics dolphin sounds, paving the way for potential two-way interactions. This initiative not only showcases cutting-edge AI but also promises to deepen our connection with marine life.

Netflix is experimenting with an AI-powered search feature in Australia and New Zealand. The tool, developed with OpenAI, allows users to find content using natural language queries based on moods, themes, or descriptions. Currently available only on iOS devices in select regions, this feature aims to enhance content discovery beyond traditional title or genre-based searches. If successful, Netflix may expand the rollout to more markets, potentially including the United States. This move demonstrates Netflix’s continued interest in leveraging AI to improve user experience and engagement.

OpenAI has launched an improved memory feature for ChatGPT. CEO Sam Altman announced the upgrade, which allows the AI to better recall previous conversations and user information. The feature is rolling out to Pro users first, with Plus subscribers gaining access soon. OpenAI views this as a significant step towards more personalized AI systems. Users can opt out or use temporary conversations if desired. The upgrade aims to make ChatGPT more useful by building a comprehensive understanding of each user over time.

Aardvark Weather, a groundbreaking AI approach, promises to overhaul weather forecasting by drastically reducing computational demands and speeding up predictions. Researchers from the University of Cambridge, the Alan Turing Institute, and others have developed a system requiring thousands of times less computing power than conventional methods. This AI-driven model, published in Nature, processes raw global data from various sources to deliver more detailed and quicker forecasts. Richard Turner of the University of Cambridge highlights its potential to offer tailored predictions for specific industries, while Dr. Scott Hosking emphasizes its role in democratizing access for developing nations. Furthermore, Dr. Anna Allen suggests this innovation could enhance forecasting natural disasters.

A national survey by Jobs for the Future (JFF) highlights a sharp increase in AI usage at work, yet training lags behind. Over one-third of U.S. workers now use AI, a significant jump from 2023’s 8%. Despite this, only 31% receive employer-provided AI training, with many resorting to self-directed learning. The survey also finds that 59% of learners utilize AI weekly. This discrepancy reveals an urgent need for enhanced training to bridge the gap. Crucially, diverse and underrepresented groups feel the impact more acutely, influencing their career plans. These findings stress the importance of accessible AI education and resources.