President Trump's ambitious plan to establish AI data centers in Texas faces potential setbacks due to a new GOP-led bill that could add extensive regulatory reviews, raising concerns about the additional power demands on the state's already strained power grid.
Orbital Materials, founded by an ex-DeepMind researcher, pilots an AI-designed purple powder that captures carbon more efficiently at data center temperatures, potentially reducing costs to $200/ton and enabling companies to offset emissions from energy-intensive data centers.
AI agents' energy usage varies based on model size, modality, and output length, necessitating a balance between performance and sustainability through efficient model selection, open-source frameworks, and task-appropriate approaches.
AI's unprecedented growth sparks environmental concerns, prompting governments and organizations to implement mitigation strategies like renewable energy adoption and resource management to curb emissions, waste, and ethical implications.
Extropic's pioneering thermodynamic chips leverage energy fluctuations for ultra-efficient probabilistic computing, promising a 3-4 order magnitude boost in efficiency over current hardware and a potential revolution in energy-efficient AI and simulations.
In a groundbreaking partnership, Engine No. 1, Chevron, and GE Vernova have joined forces to build cleaner power solutions for U.S. data centers, aiming to deliver up to 4 gigawatts by 2027 using natural gas, creating jobs and supporting domestic energy resources.