Data Science Insider: January 20th, 2023

In This Week’s SuperDataScience Newsletter: Microsoft will invest billion in OpenAI. Becoming a Data Science leader. Advanced AI could kill everyone. Neural networks in Java. Buzzfeed will use AI to create content. Cheers, - The SuperDataScience Team P.S. Have friends and colleagues who could benefit from these weekly updates? Send them to [this link]( to subscribe to the Data Science Insider. --------------------------------------------------------------- [Microsoft will invest billion in OpenAI]( brief: ChatGPT has been making waves all over recently and it should come as no surprise that its success has prompted further investment into OpenAI. Besides the chatbot with the power to overturn entire business models, the lucrative company also created Dall-E, a program which generates images in response to text instructions. And, although the exact amount is currently unclear, Microsoft considered investing around 10 billion dollars even before the recent news. Why this is important: Although speculation about the potential misuse of the technology for everything from malware to cheating in exams is rampant, so are the potential benefits for first movers in the field. [Click here to learn more!]( [Becoming a Data Science leader]( brief: Being a successful data scientist is no mean feat in and of itself, but being a leader adds a whole layer of complexity on top. Besides the long hours of programming and educating yourself about the latest technological developments, you also need to manage people and products, focusing on developing practices and workflows. Besides, despite it not being a brand-new field any more, many companies don’t exactly know what to do with the data – or the data scientists – they do have. Why this is important: This article brings together thoughts on several aspects of being a leader in the increasingly complex but also rewarding role of a data science leader. Looking to make the next step in your career? Check it out! [Click here to read on!]( [Advanced AI could kill everyone]( In brief: Researchers from Oxford University told MPs at the Science and Technology Select Committee that superhuman algorithms are already on the way, and that they may present an existential threat to humanity. They claim that once the process of self-development starts, it may be exceedingly difficult to stop, even if we were to identify the direction it’s heading towards may be dangerous. Another remark that struck a nerve was that by the end of the century, we can expect an AI capable of doing far more than any human could, prompting researchers to call for a ban on dangerous algorithms. Why this is important: As data scientists, we are responsible not only for the algorithms we develop but also for the direction the entire field will take. The onus is on us to act responsibly and ethically [Click here to discover more!]( [Neural networks in Java]( In brief: Put simply, an artificial neural network (ANN) is a graph of nodes called neurons, inspired by biological neural networks that constitute animal brains. The best way to understand how it works, just as with many other things, is to build one yourself. Starting with a simple Neuron class and connecting them into a network, it lets you then train the network and finally use it to make a prediction. There’s even a link to the author’s GitHub where you can find the complete code for the tutorial. Why this is important: This article is an introduction to building and training an ANN in Java, allowing you to get hands-on experience with this pillar of modern-day AI. [Click here to see the full picture!]( [Buzzfeed will use AI to create content]( In brief: Last week, Buzzfeed announced they would be collaborating with OpenAI to help create content tailored to their audience. This was a significant milestone in how a media company can implement the new tech into their business model. Although they won’t use AI to write news stories yet, it will be used to create quizzes, help with brainstorming, and assist in making the content more personalised to each user. In other words, AI-inspired content is becoming a core part of the business. Why this is important: The move prompted the company’s stock to rise by 150% in 24 hours, and even though it’s now trading a bit below that, it signifies the potential investors see in moves like this. [Click here to find out more!]( [Super Data Science podcast]( this week's [Super Data Science Podcast](, Tom Davenport and Jon Krohn forecast the future of work and AI’s critical role in it. They discuss the importance of (re)training employees to use and apply data, developing organizational knowledge structures, and why the C-suite must understand how each of these systems works. --------------------------------------------------------------- What is the Data Science Insider? This email is a briefing of the week's most disruptive, interesting, and useful resources curated by the SuperDataScience team for Data Scientists who want to take their careers to the next level. Want to take your data science skills to the next level? Check out the [SuperDataScience platform]( and sign up for membership today! Know someone who would benefit from getting The Data Science Insider? Send them [this link to sign up.]( # # If you wish to stop receiving our emails or change your subscription options, please [Manage Your Subscription]( SuperDataScience Pty Ltd (ABN 91 617 928 131), 15 Macleay Crescent, Pacific Paradise, QLD 4564, Australia