Utilities predict that upcoming data centers will require two to three times more electricity, impacting energy markets. Discussions involve regulatory requirements for proof of infrastructure before approval. This surge affects states and energy providers, raising concerns about sustainability and resource management amid accelerating digital transformation.
Future data centers are driving up forecasts for energy demand. States want proof they'll get built
The forecasts are eye-popping: utilities saying they’ll need two or three times more electricity within a few years to power massive new data centers that are feeding a fast-growing AI economy. One burning question is whether the forecasts are based on data center projects that may never get built — eliciting concern that regular ratepayers could be stuck with the bill to build unnecessary power plants and grid infrastructure at a cost of billions of dollars. Meanwhile, consumer advocates are finding that ratepayers in some areas — such as the mid-Atlantic electricity grid, which encompasses all or parts of 13 states stretching from New Jersey to Illinois, as well as Washington, D.C. — are already underwriting the cost to supply power to data centers, some of them built, some not.
UCSC researchers create AI device that could help wounds heal faster
Researchers from UC Santa Cruz and UC Davis have created a wearable device, A-Heal, designed to accelerate wound healing by 25% using bioelectronics and artificial intelligence.
📄 OpenAI’s Financial Insights with Microsoft Revealed
Leaked documents disclose OpenAI’s financial terms with Microsoft, detailing their revenue-sharing agreement and inference costs. Such financial insights may influence competitive strategies among tech giants, affecting the AI landscape globally.
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Leaked documents shed light into how much OpenAI pays Microsoft
Leaked documents reveal how much OpenAI paid Microsoft under a revenue-share agreement. They also indicate inference costs.
🌍 U.S. Must Go Open Source to Compete with China’s AI Dominance
Databricks co-founder Andy Konwinski emphasizes the need for the U.S. to adopt open-source AI strategies to maintain its leadership amid growing competition from China. He outlines potential collaborations among tech firms and universities to innovate and advance AI technologies, advocating for public-private partnerships to bolster research efforts.
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📰 Weekly AI News Highlights from Databricks & Salesforce
This week, significant advancements in AI tools were reported, including updates from Databricks and Salesforce. These updates involve enhanced machine learning capabilities and innovative data handling methods, impacting tech organizations globally, with a focus on optimizing operational efficiencies and improving data analysis.
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How to save money on groceries using AI
If you’re struggling to stay on budget, have you tried turning to AI for help? News4 asked three AI chatbots — ChatGPT, Copilot, and Gemini — the same question: Put together a shopping list that includes breakfast, lunch and dinner for a family of four with a $150 budget in my ZIP code. The results were pretty good. ChatGPT was…
Databricks co-founder argues US must go open source to beat China in AI
VC Andy Konwinski argues that the U.S. is losing its AI research dominance to China.
💻 AI-Driven Cyberattacks by Chinese Hackers
Chinese hackers exploited a flaw in Claude, an AI model, to autonomously conduct cyberattacks on various governments and corporate entities. This incident highlights serious security vulnerabilities in AI systems that can be weaponized, raising concerns about national security and the integrity of technological infrastructures globally.