Elon Musk's AI startup xAI secures $15 billion in funding, reaching a $200 billion valuation, while Musk simultaneously denies the reports as 'false' on X, creating confusion as the company faces criticism over its chatbot spreading misinformation and environmental concerns from energy-intensive data centers.
Major technology companies are using non-disclosure agreements with local governments across 14 states to secretly develop AI data centers, preventing residents from knowing who is building in their communities and sparking revolts in places like Missouri and Arizona where transparency-starved citizens are enacting construction bans over concerns about utility costs …
Al Gore launches massive satellite surveillance system using 300 satellites and AI to track deadly soot pollution across 2,500 cities worldwide, identifying nearly 140,000 pollution sources including thousands of 'super emitters' that kill millions annually.
New research reveals AI models produce up to 50 times more CO2 emissions when tackling complex reasoning tasks, with philosophy questions generating six times higher emissions than simple topics, creating a stark trade-off between accuracy and environmental impact.
AI erodes accountability with unattributable decisions, harms the environment through resource depletion and emissions, and distorts reality through deepfakes and hallucinations, fracturing our shared understanding of truth.
In a groundbreaking achievement, Google's AI model outperforms traditional physics-based models and official forecasts in accurately predicting Hurricane Erin's track and intensity up to 72 hours in advance, signaling a potential shift towards AI-driven weather prediction systems.
Meta unveils 'Hyperion', a $10B data center complex in Louisiana, set to consume energy equivalent to 4 million homes, prompting utilities to build new gas-fired plants and raising environmental concerns.
Google touts its new AI assistant Gemini as eco-friendly, claiming minimal water and energy usage per text prompt, but critics argue the tech giant omits key data and its overall carbon emissions and resource usage keep rising despite efficiency gains.
Google unveils AI Inference Impact Metrics, a methodology quantifying the energy, emissions, and water footprint of AI inference tasks like Gemini text prompts, revealing median energy use of 0.24 watt-hours and emissions of 0.03 grams of carbon dioxide per prompt.
Major tech firms pour billions into AI development, igniting a fierce arms race that exacerbates skilled labor shortages and surging emissions, undermining net zero commitments amidst the AI frenzy.