AI DevOps The Year of AI DevOps & Fears for GitLab (Pt.2) Summary * GTLB is taking a defensive stance toward the rise of AI
enterprise software Notes: Incumbents vs. AI-Natives: Who Wins the Next Software Cycle? Summary * The AI narrative has swung from favoring SaaS incumbents in 2024
Kimi Themes - DeepSeek, Kimi, and AI Efficiency (Pt.4) Summary * Moonshot’s Kimi 1.5 demonstrates that China’s top labs
Palantir Updates: Palantir - 2025 the Year of AI Application? Summary * While PLTR currently trades at a high multiple (~450x TTM P/
DeepSeek Themes - DeepSeek, Kimi And AI Efficiency Paradigm Shift (Pt.2) Summary * DeepSeek has multifold lower opex and cluster costs than Western rivals,
DeepSeek Themes - DeepSeek, Kimi And AI Efficiency Paradigm Shift (Pt.1) Summary * DeepSeek is a true innovator, not a copycat. Its model architecture,
Meta Platforms Updates: Meta - Underappreciated GenAI Potential (Pt.2) Summary * META's Llama project requires monetization strategies as funding scales
LLM Updates: Snowflake, Databricks & Palantir- Controlling The MDS And GenAI PaaS Future (Pt.3) Summary * In Part 3 we discuss AI PaaS (Platform-as-a-Service), comparing Snowflake'
Meta Platforms Updates: Meta - Underappreciated GenAI Potential (Pt.1) Summary * In Part 1 we review the battle for GenAI supremacy and