Musk’s Grok-3 Just Declared War on OpenAI

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What’s Ahead

• Musk’s Grok-3 Challenges OpenAI’s Dominance

• AI Tool Detects Cancer Faster Than Ever

• AI Drives Data Center Spending Past $1 Trillion by 2029

Musk’s Grok-3 Challenges OpenAI’s Dominance

Elon Musk’s xAI unveiled Grok-3, claiming it outperforms OpenAI’s GPT-4o, Google Gemini, and others in key benchmarks. This comes just days after Musk’s $97.4 billion bid to buy OpenAI was rejected.

The Details

Grok-3 boasts 10 times the compute power of its predecessor and was trained in early January. It’s available for $22 a month, far cheaper than OpenAI’s $200 GPT-4o access. xAI also launched DeepSearch, a smart search engine that reasons through queries, and teased plans for a voice-based chatbot.

Musk is backing his AI ambitions with serious funding, as xAI seeks to raise $10 billion, bringing its valuation to $75 billion. OpenAI, meanwhile, is in talks for a round that could push its valuation to $300 billion. As AI giants battle for dominance, Musk is betting that affordability, open-source releases, and rapid improvements will give Grok-3 an edge.

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AI Tool Detects Cancer Faster Than Ever

A research team at the University of Hong Kong has developed CytoMAD, an AI-powered imaging tool that speeds up cancer diagnosis with unmatched precision. By eliminating traditional staining methods, it enhances clarity and extracts hidden cellular details, revolutionizing early detection and treatment.

The Details

CytoMAD corrects imaging inconsistencies, enhancing cell images and revealing previously undetectable information. It works without staining or labeling, significantly reducing costs and processing time. Applied to lung cancer, it analyzes individual cells to detect metastasis risks and assess treatment effectiveness.

The technology leverages ultrafast optical imaging, generating tens of millions of images daily for AI training and optimization. Unlike existing AI models, CytoMAD requires no prior assumptions, ensuring unbiased diagnosis. Researchers are launching a three-year clinical trial to validate its impact. Beyond cancer, it could accelerate drug screening and predict diseases before symptoms appear, reshaping medical diagnostics worldwide.

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AI Drives Data Center Spending Past $1 Trillion by 2029

AI’s rapid growth is overwhelming data centers, forcing companies to spend billions on infrastructure. AI servers require massive power and generate extreme heat, making traditional cooling systems obsolete. Now, businesses are scrambling for solutions before data centers reach their limits.

The Details

By 2029, data center spending will hit $1.1 trillion, up from $430 billion today. AI servers, costing up to $200,000 each, demand as much as 120 kilowatts per rack, far beyond what air cooling can handle. Liquid cooling is becoming essential, with 22 percent of data centers already using it and 61 percent considering it.

Tech giants like Amazon, Google, and Microsoft dominate spending, pushing the limits of power grids. Some AI models already consume as much energy as entire cities. Without breakthrough innovations in power and cooling, AI’s rapid expansion could soon become unsustainable.

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👇 Look: AI can now read minds without words?

Scientists improved an AI-powered brain decoder that converts thoughts into text. Unlike older versions that needed hours of training, the new method transfers a trained decoder to another person using just 70 minutes of silent video or audio data.

This breakthrough could help people with aphasia express their thoughts. The AI deciphers brain activity related to meaning, not exact words, showing how the brain processes ideas across different formats. The next step is testing on aphasia patients to create a practical communication tool.