Week 37

The week of September 12-18, 2022, saw relatively sparse activity from AI leaders across most platforms, with only one notable piece of content emerging. This quiet period may reflect a focus on deep work or preparation for upcoming announcements, as evidenced by the absence of GitHub repositories, Bluesky posts, X (Twitter) posts, and blog articles. The sole contribution came from Andrej Karpathy, whose educational video series continued to draw significant attention, suggesting sustained interest in foundational machine learning concepts despite the overall lull in public discourse. Andrej Karpathy's YouTube video, 'Building makemore Part 2: MLP,' served as the week's primary highlight, amassing over 524,000 views. This installment of his 'makemore' series delves into implementing a multilayer perceptron (MLP) for character-level language modeling, while introducing core machine learning principles. The video's popularity underscores the community's appetite for hands-on, educational content that bridges theoretical concepts with practical implementation, even during periods of reduced activity from other AI thought leaders. While no cross-source patterns emerged due to the limited content, Karpathy's video stands as a testament to the enduring value of high-quality educational resources in the AI space. The absence of discussions on platforms like Bluesky and X, coupled with no new GitHub repositories gaining traction, indicates a potential pause in public-facing innovation or debate. This week's digest, therefore, focuses primarily on the technical educational content provided by Karpathy, which continues to resonate strongly with learners and practitioners alike.