# | Publication Name | Publication Date | Article Title | Article Description | Author Info | Time of Read | Article Link | Publication Logo | Article Image |
|---|---|---|---|---|---|---|---|---|---|
1 | THE LATE REVIEW | MAR 20 | the eternal present | or: we need to destroy phone | KATE WAGNER | 19 MIN | https://www.late-review.com/p/the-eternal-present?utm_source=%2Fbrowse%2Ftechnology&utm_medium=reader2 | - | https://substackcdn.com/image/fetch/w_400,h_264,c_fill,f_auto,q_auto:good,fl_progressive:steep,g_auto/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F1203dbb9-6e7a-45d5-9a41-252f4612ae46_1400x1078.jpeg |
2 | MARCUS ON AI | MAR 20 | Meta pirated at least 101 of my books and articles, and tens of millions of others | And they knew perfectly well what they were doing | GARY MARCUS | 2 MIN | https://garymarcus.substack.com/p/meta-pirated-at-least-101-of-my-books?utm_source=%2Fbrowse%2Ftechnology&utm_medium=reader2 | - | https://substackcdn.com/image/fetch/w_400,h_264,c_fill,f_auto,q_auto:good,fl_progressive:steep,g_auto/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F08896381-a789-4576-ad88-bb827fba4225_1668x1834.jpeg |
3 | EXPLORING LANGUAGE MODELS | MAR 17 | A Visual Guide to LLM Agents | Exploring the main components of Single- and Multi-Agents | MAARTEN GROOTENDORST | 14 MIN | https://newsletter.maartengrootendorst.com/p/a-visual-guide-to-llm-agents?utm_source=%2Fbrowse%2Ftechnology&utm_medium=reader2 | - | https://substackcdn.com/image/fetch/w_400,h_264,c_fill,f_auto,q_auto:good,fl_progressive:steep,g_auto/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fc3177e12-432e-4e41-814f-6febf7a35f68_1360x972.png |
4 | CREATOR ECONOMY BY PETER YANG | MAR 19 | 12 Rules to Vibe Code Without Frustration | My best tips after 50+ hours building apps with AI (without knowing how to code) | PETER YANG | 7 MIN | https://creatoreconomy.so/p/12-rules-to-vibe-code-without-frustration?utm_source=%2Fbrowse%2Ftechnology&utm_medium=reader2 | - | https://substackcdn.com/image/fetch/w_400,h_264,c_fill,f_auto,q_auto:good,fl_progressive:steep,g_auto/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F00b49efb-509d-46e0-836a-fe5da3cc78d0_1920x2192.png |
5 | BYTEBYTEGO NEWSLETTER | MAR 18 | How Netflix Stores 140 Million Hours of Viewing Data Per Day | In this article, we’ll learn how Netflix tackled these problems and improved their storage system to handle millions of hours of viewing data every day. | BYTEBYTEGO | 14 MIN | https://blog.bytebytego.com/p/how-netflix-stores-140-million-hours?utm_source=%2Fbrowse%2Ftechnology&utm_medium=reader2 | - | https://substackcdn.com/image/fetch/w_400,h_264,c_fill,f_auto,q_auto:good,fl_progressive:steep,g_auto/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F67c59f18-c115-4308-b16d-24e18a3974f3_1432x1600.png |