Future Is Already Here

In this episode, we dive deep into the world of distributed SQL databases and the groundbreaking innovations that have shaped modern cloud infrastructure. We explore the concepts, architecture, and lessons behind three seminal works in the field: 1. Spanner: Google’s Globally-Distributed Database James C. Corbett, Jeffrey Dean, Michael Epstein, Andrew Fikes, Christopher Frost, JJ Furman, Sanjay Gh...

In this episode, we dive deep into the architecture and design considerations behind Amazon Aurora , a high-performance, cloud-native relational database service. Drawing insights from two foundational papers, we explore how Aurora achieves remarkable scalability and reliability without relying on distributed consensus for I/O operations, commits, and membership changes. We’ll reference the work i...

In this episode, we dive into Amazon Dynamo. Our goal is to help explain this in simpler language. Some or all of this content is AI generated and may contain some errors. Please use with caution. References: Dynamo: Amazon’s Highly Available Key-value Store By Giuseppe DeCandia, Deniz Hastorun, Madan Jampani, Gunavardhan Kakulapati, Avinash Lakshman, Alex Pilchin, Swaminathan Sivasubramanian, Pet...

Summary of two papers on Transformers and Titans by researchers at Google. Sources : Attention Is All You Need by Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Łukasz Kaiser, Illia Polosukhin https://arxiv.org/pdf/1706.03762 Titans: Learning to Memorize at Test Time Ali Behrouz†, Peilin Zhong†, and Vahab Mirrokni† https://arxiv.org/pdf/2501.00663 Thes pap...

This is a summary of Building effective agents by Anthropic https://www.anthropic.com/research/building-effective-agents Some or all of this content is AI generated and may contain some errors. Please use with caution.

This episdoe dives into the white paper by Google called AI Agents by Authors: Julia Wiesinger, Patrick Marlow and Vladimir Vuskovic. Some or all of this content is AI generated and may contain some errors. Please use with caution.

In this episode, we dive into Turing test. Our goal is to help explain this in simpler language. Some or all of this content is AI generated and may contain some errors. Please use with caution. Reference : COMPUTING MACHINERY AND INTELLIGENCE By A. M. Turing

In this episode, we dive into and JEPA (Joint Embedding Predictive Architectures). Our goal is to help explain this in simpler language. References: A Path Towards Autonomous Machine Intelligence by Yann LeCun Joint Embedding Predictive Architectures Focus on Slow Features by Vlad Sobal, Jyothir S V, Siddhartha Jalagam, Nicolas Carion, Kyunghyun Cho, Yann LeCun Some or all of this content is AI ge...