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- Microsoft 365 Copilot Price Hike Alert
Microsoft 365 Copilot Price Hike Alert
PLUS: AI's Environmental Tipping Point
AI News Universe
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AI boom fuels U.S. economy
Musk: AI training data is exhausted
Meta moves moderators to Texas
DOJ sues landlords for rent-fixing
Microsoft cuts jobs over performance issues
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1. Microsoft 365 Copilot Price Hike Alert
Microsoft 365 Personal and Family plans are getting a major upgrade with Copilot AI features. However, this comes with a price increase of $3/month for Personal plans and $3/month for Family plans. Current subscribers can opt for "Classic" plans at old prices for a limited time.
Things to Know:
New AI Features: Microsoft 365 Personal and Family subscribers will now have access to Copilot AI features in Word, Excel, PowerPoint, OneNote, and Outlook. These features include summarizing text, generating slideshows, and analyzing data.
AI Credits System: Subscribers will receive 60 AI credits per month to use across Office apps. These credits can be used for generating text, images, and other tasks.
Price Increase Details: The price for a Microsoft 365 Personal subscription will increase from $6.99 to $9.99 per month, and from $69.99 to $99.99 per year. Family plans will see an increase from $9.99 to $12.99 per month, and from $99.99 to $129.99 per year.
The rollout follows months of testing in several countries and aims to bring AI-powered productivity tools to millions of users worldwide. Microsoft plans to continue improving Copilot based on user feedback.
2. AI's Environmental Tipping Point
Generative AI is exciting but it's also demanding a lot from the environment. From energy-guzzling data centers to the large water usage for cooling, this tech's rapid rise is putting significant pressure on resources, and experts are trying to figure out how to reduce the impact.
Things to Know:
Energy Demand: Generative AI models require enormous amounts of electricity, adding strain to power grids and increasing CO2 emissions.
Water Usage: Data centers need vast amounts of water to cool the hardware, impacting local ecosystems.
Ongoing Impact: Even after models are trained, their continuous use still consumes significant energy, often more than expected.
Hardware Manufacturing: The production of GPUs for AI models has a substantial carbon footprint, with mining and transport contributing to environmental damage.
Short Lifespan: New models are released frequently, leading to wasted energy from previous versions and higher consumption for the latest ones.
Why It’s Important: As generative AI becomes more pervasive, its environmental footprint is growing—raising urgent questions about sustainability. Balancing innovation with eco-friendly practices is essential for the future of both tech and the planet.
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