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Big tech’s AI spending hits new heights

AI News

A growing market: AI is projected to create $20 trillion in global economic impact by 2030. In countries like India, AI could contribute $500 billion to GDP by 2025. Infrastructure demands: Training and running AI models require massive investment in infrastructure, from data centres to high-performance GPUs.

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AI in 2025: Purpose-driven models, human integration, and more

AI News

For this article, AI News caught up with some of the worlds leading minds to see what they envision for the year ahead. Smaller, purpose-driven models Grant Shipley, Senior Director of AI at Red Hat , predicts a shift away from valuing AI models by their sizeable parameter counts.

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AI News Weekly - Issue #414: Inside Elon Musk’s messy breakup with OpenAI - Nov 22nd 2024

AI Weekly

domains name.com In The News Salesforce launches AI platform for automated task management Salesforce is now stepping up its AI game with Agentforce, a platform that lets businesses to build and deploy digital agents to automate tasks such as creating sales reports and summarising Slack conversations. Find available.ai

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The hidden climate cost of AI: How tech giants are struggling to go green

AI News

Training large language models like GPT-3 requires vast amounts of data to be processed by thousands of specialized chips running around the clock in sprawling data centres. Once deployed, AI models consume significant energy with each query or task. That goal now appears increasingly challenging.

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The merging of AI and blockchain was inevitable – but what will it mean?

AI News

To this point, a report from the International Energy Agency (IEA) states that the global electricity demand for AI is projected to rise to 800 TWh by 2026 , a nearly 75% increase from 460 TWh in 2022. Morgan Stanley’s AI power consumption prediction (best-case scenario) The best of both worlds is here.

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DeepSeek AI and the Global Power Shift: Hype or Reality?

Unite.AI

Developed by a leading Chinese AI research team, DeepSeek AI has emerged as a direct competitor to OpenAI and Google DeepMind, aligning with Chinas vision of becoming the world leader in AI by 2030. The AI race will not be won by the best technology alone but by the country with the most strategic AI deployment.

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Has AI Taken Over the World? It Already Has

Unite.AI

If a model is trained on flawed, biased, or low-quality data, it will produce unreliable or inaccurate results, regardless of how sophisticated the algorithm is. Just as flawed input data corrupts an AI model, constant exposure to misinformation, biased narratives, or propaganda skews human perception and decision-making.

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