McDonald's launched AI across 43,000 restaurants.

Plus: Foxconn builds a brain.

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Welcome HumansšŸ¤–,

Here is what we have Today:

  • šŸ§  AI predicts Alzheimer's years in advance.

  • šŸ” McDonald's AI makeover: Fast food gets smarter.

  • šŸ­ Parkour robot gets a real job at Hyundai.

  • šŸ“±iPhone maker builds AI brain in 4 weeks.

  • šŸ’¼ New Job Opportunities

McDonald

šŸ” McDonaldā€™s Goes AI : Smarter, Faster, and More Personalized

McDonaldā€™s is flipping the script on fast food with AI-powered restaurants. The fast-food giant is rolling out cutting-edge tech across its 43,000 locations, bringing AI-driven automation to everything from kitchen maintenance to personalized promotions.

Image Source: Ideogram

Whatā€™s cooking?

šŸ”„ Real-time AI analytics ā€“ Partnering with Google Cloud, McDonaldā€™s is installing edge computing systems that process data on-site for lightning-fast insights.
šŸ³ Predictive maintenance ā€“ AI will detect and prevent kitchen equipment failures before they disrupt operations.
šŸ‘€ Computer vision for order accuracy ā€“ Smart cameras ensure your order is right, every time.
šŸ§  AI-powered virtual manager ā€“ A generative AI system will help staff navigate the chaos of multiple ordering channels like drive-thru, delivery, and in-store orders.
šŸ¦ Personalized promotions ā€“ AI will analyze customer preferences to offer deals, like a discounted McFlurry on a hot day.

Why it matters

With 70 million daily customers, even small inefficiencies add up. AI is McDonaldā€™s secret sauce to speed up service, reduce mistakes, and optimize operations. As Taco Bell, Wendyā€™s, and others embrace similar tech, AI-powered fast food might soon become the industry standard.

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Foxconn

Foxconn, the giant behind iPhones and electronics, just pulled off an AI feat. In just four weeks, it built FoxBrain, a powerful reasoning AIā€”running on Nvidiaā€™s tech.

Image Source: Reuters

The details:
šŸ”¹ Trained on 120 Nvidia H100 GPUs using Taiwanā€™s largest supercomputer, Taipei-1.
šŸ”¹ Built on Metaā€™s Llama 3.1 and optimized for Traditional Chinese.
šŸ”¹ Handles data analysis, math, reasoning, and code generation, rivaling top AI models (but still behind DeepSeek).
šŸ”¹ Foxconn plans to open-source it and use it to revolutionize manufacturing and supply chains.

Why does this matter?
If Foxconn can develop an advanced AI in a month, whatā€™s Apple waiting for? Jokes aside, every major player seems to be crafting its own AI. And for Foxconn, AI-driven manufacturing and logistics could be the next big industry shake-up.

Trending Today
  •  Bostonā€™s Mass General Brigham hospital Researchers found that using AI to analyze patientsā€™ brain activity during sleep, could predict future cognitive impairments with 77% accuracy. Their model detected ā€œsubtle changes in brain wave patternsā€ for 85% of the patients who went on to develop dementia. The findings could dramatically improve Alzheimerā€™s outcomes by letting at-risk patients start treatment years earlier than usual.

  • OpenAIā€™s new research on AI modelsā€™ chain-of-thought reasoning revealed that models like o3-mini can ā€˜reward hackā€™ or cheat on tasks ā€” and attempts to stop them from thinking about cheating only make them hide their true intentions.

  • Hugging Faceā€™s Thomas Wolf is pushing back on Dario Amodeiā€™s AGI predictions. He thinks that while LLMs will be able to help with practical tasks within the next few years, we shouldnā€™t expect them to make scientific discoveries anytime soon. For that to happen, we first need benchmarks that reward LLMs ā€œwho see and question what everyone else missedā€ ā€” instead of just being ā€œscaled-up good students.ā€

  • Boston Dynamics' Atlas humanoid is gearing up for real-world use cases, starting with part sequencing at Hyundai facilities. Using Reinforcement Learning and Foundation Models, Atlas can now pick, carry, and place objects with minimal human input ā€” a major shift from flashy parkour stunts to practical industrial automation. The humanoid adapts on the fly, minimizing errors and reducing human strain.

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Source: Ideogram

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