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A multi-trillion dollar AI chip investment...

Good morning, and welcome to a new week of fresh and crispy AI updates, tools, and fun! 😁

(The mystery link can lead to ANYTHING AI related. Tools, memes, articles, videos, and more…)

Today’s Menu

Appetizer: NFL to employ AI to reduce injuries 🏈

Entrée: Altman wants $5-7 trillion for AI chips 💾

Dessert: Montreal metro system uses AI to prevent suicides 🦾


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The Super Bowl is over, but NFL initiatives to ensure player safety continue. 👍

What’s new? The NFL’s “digital athlete” initiative is harnessing the power of AI to scrutinize players’ movements to reduce the risk of injuries.

How will this work? In collaboration with AWS, the digital athlete initiative employs AI and machine learning to create a detailed profile of each player’s experiences in training, practice, and games. The initiative collects an extensive range of data, including real-time location, speed, acceleration, and distance, utilizing sensors embedded in shoulder pads and even mouthguards which measure head impact. By synchronizing these data points through sophisticated technology, the NFL aims not only to prevent injuries but also to predict them. This approach is designed to assist medical teams in working more efficiently with athletes, allowing trainers to tailor individualized training regimes based on each player’s specific needs.

"It actually time synchronizes all of the data points and runs millions of simulations about every event in the game, so that we can actually have a better understanding of when and how injuries happen. And then from that, we’re able to do risk modeling to give the teams, on a daily basis, which players right now are at a higher risk of injury so that they can change their training loads and measurements.”

-Jennifer Langton, NFL Senior VP of Health and Safety Innovation

What’s the significance? The NFL’s partnership with AWS opens the door to a future where predictive analytics and AI-driven insights redefine injury prevention across various domains. The long-term goal is not just to revolutionize player safety in football but also to extend the impact of this technology to other sports, industries, and even the military.


Sam Altman has been talking about producing chips … but we think he should make fries instead. 🍟

What’s up? OpenAI CEO Sam Altman is looking to raise trillions of dollars in a semiconductor investment, aiming to address the supply-and-demand gap for AI chips globally. He is reportedly in talks with potential investors, including the United Arab Emirates government.

Why? Citing the limitations of AI chips as a bottleneck to OpenAI’s growth, Altman is seeking a staggering $5-7 trillion for this endeavor. Altman’s pursuit follows his previous ventures and investments in the chip space, including the code-named “Tigris” project and his personal investments in AI chip startup Rain AI. With Nvidia dominating the AI chip market, controlling approximately 80% and boasting a market cap of $1.72 trillion, Altman’s ambitions suggest a desire to challenge this dominance.


If you or anyone you know is struggling with suicidal thoughts, there are resources available: Text or call 988, the official Suicide and Crisis Lifeline. 🙏

What’s up? The Société de transport de Montréal (STM) is collaborating with researchers from the Center for Suicide Intervention (CRISE) to develop an AI system to address mental health concerns in the city.

How will this work? The pilot project focuses on analyzing closed circuit television (CCTV) footage within Montreal’s Metro stations. The objective is to identify potential warning signs indicating distress among individuals. The AI system, devoid of facial recognition software, could alert the control room in real-time, enabling timely intervention by metro operators and special constables. Brian Mishara, director and co-investigator of the STM AI project, said, “We’ve analyzed the videos of all the people who attempted suicide [in the Metro] with the goal of trying to see if there are some indications that someone might be in distress … We’ve got some indicators, but obviously a human cannot watch hundreds of screens all day long to try to identify those behaviors.” This is where machine learning and AI visual recognition can help. The STM expresses optimism, deeming the AI pilot project “promising” and aims to implement it within the next two years. This integration of AI into suicide prevention strategies showcases the potential for the technology to contribute meaningfully to public health and safety initiatives around the globe.


People are discovering innovative (and sometimes wacky) ways to make money using AI. Check out today’s featured video:


The Singularity Meter Rises Sharply 4.0%: Sam Altman intends to raise Trillions of Dollars for AI Chips

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