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  • 🏥 Nvidia replacing nurses medical advice for $9 an hour

🏥 Nvidia replacing nurses medical advice for $9 an hour

Plus Sora’s realistic videos and the new Financial Time’s bot

Hello AI Enthusiast,

Last week, we talked about Devin, a new AI that can do complex software engineering. We wondered if AI like Devin could end up doing most of the work developers do, or if they'd just help out without taking jobs. You expressed your opinion, and 54% of the voters think AI will end up doing a lot of the work. Someone even shared an interesting comment, "At first, AI will help, then it might replace some jobs, and who knows what will happen later on.". This ongoing discussion highlights why it's crucial to learn how AI can improve our jobs now to get ready for changes that might come later.

Tying into this theme, we spotlight Nvidia's partnership with Hippocratic AI in this week's News Bytes. They're introducing AI nurses, offering a solution to the nursing shortage while also sparking discussions about AI's growing presence in roles traditionally held by humans.

Before we dive into this week's AI news, a quick note for those who missed our webinar last week, "How AI Academy Uses AI (And How You Can Too)." Catch the replay here to see how we used AI to triple our size last year and how you can use it too.

At the webinar's end, we announced two new courses starting in May:

  1. Generative AI Project Bootcamp: For those who want to get their hands dirty and turn AI ideas into reality.

  2. Leading Business Growth with Generative AI: For business leaders looking to leverage AI strategies for their company’s growth.

Now on with the news. 👇

News Bytes 🗞️

If you're short on time, find the top news in the red-bordered section. ⬇️

  • Nvidia collaborates with Hippocratic AI to offer AI nurses at $9 an hour, undercutting human nurses costing $90 an hour. The AI nurses provide medical advice over video calls and are designed to respond to patients like humans. Hippocratic aims to address nursing shortages but clarifies that AI nurses are not equipped to make diagnoses.

  • 💡 Our take: Nvidia's partnership with Hippocratic AI to provide affordable AI nurse services addresses healthcare accessibility issues. While AI can enhance patient check-ins, safety considerations and limitations should guide product design. It's crucial that these AI nurses serve as complements to human nurses and not as replacements.

What's your view on AI nurses:

Login or Subscribe to participate in polls.

  • OpenAI is engaging with filmmakers and studios about integrating its AI video generator, Sora, into their work, generating concerns about the impact on the film industry. Despite positive feedback on Sora's ability to create realistic videos from text prompts, there are criticisms around OpenAI's lack of transparency regarding the model's training data.

  • 💡 Our take: Our experience with AI image testing suggests limitations in handling specific cases. Hollywood's complex movie production needs like lighting and consistency could pose challenges for Sora. Instead, Sora's strengths may lie in short videos and marketing, lacking the intricacies required for film productions.

  • A new AI tool by Financial Times called Ask FT can provide answers to current events and historical queries by scanning its archives. The tool is available to a limited number of subscribers and remains in beta testing.

  • 💡 Our take: Financial Times' Ask FT utilizing internal archives showcases the power of leveraging proprietary data for AI innovation. By using an off-the-shelf model like Claude, they exemplify a shift towards specialized AI models over one-size-fits-all solutions. This highlights an evolution towards tailored AI tools that excel in specific tasks, with the true value residing in the data companies operate on, emphasizing the importance of quality data in AI applications.

  • Google has developed technology to predict floods up to five days in advance, even in regions with sparse data like parts of Africa and Asia, benefiting 460 million people across 80 countries. The company plans to further enhance its AI-driven approach through collaborations with academic researchers to create a global flood forecasting platform.

  • 💡 Our take: Google's flood prediction AI breakthrough is a game-changer for disaster preparedness, benefiting millions worldwide. Leveraging its vast geographic data, Google can predict natural disasters in data-scarce regions showcasing the potential of AI for positive impacts beyond the tech realm. While the tech giant's motivations remain unclear - could it be for marketing, innovation, or social impact - transparency and collaboration will be essential to ensure ethical use and accountability in AI-driven initiatives.

This week’s glossary 📖

  1. Semantic code analysis: This term refers to the process of analyzing code to understand its meaning and context beyond just syntax.

Educational Pill 💊

Flood Forecasting by Google Explained

Google’s technology leverages a specific type of deep learning known as long short-term memory (LSTM) networks, to forecast flooding events. LSTMs are adept at analyzing sequences of data, making them ideal for predicting events based on historical weather patterns.

By training the AI model on a vast dataset that includes past meteorological conditions and streamflow measurements from various locations worldwide, the system learns to recognize the precursors of flood events. It can then predict the likelihood of flooding up to five days in advance, even in regions without direct measurements of streamflow.

That's a wrap on our newsletter! Here’s a quick recap before you go:

Catch you next week! 👋