Daily Reading List – January 27, 2025 (#480)

It rained this weekend in San Diego. We survived, thanks for asking. Back to sunshine today, and a trip this evening to Sunnyvale. Meanwhile, my entire social feed is full of DeepSeek talk.

[blog] M&A and the Product Model. Why mergers and acquisitions fail, and why should you look for mismatches in the product organizations.

[article] How do online communities shape developer trust in AI tools? This probably won’t shock you, but developers (like most people) trust their communities and the recommendations they offer.

[blog] Introducing agent evaluation in Vertex AI Gen AI evaluation service. This looks like a valuable service for those attempt to evaluate the path and results of their agents.

[blog] The impact of competition and DeepSeek on Nvidia. Simon summarizes a longer piece, and pulls out highlights about the rapid change to NVIDIA’s competitive landscape.

[article] DeepSeek gets Silicon Valley talking. In my area of the tech-sphere, this is quite the hot topic. Keep an eye on this, as the world may have shifted.

[paper] DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning. Read the opinions of others, but also go to the source to see what DeepSeek has done.

[blog] Cloud migrations made easy: a guide to migrating from AWS to Google Cloud. Here’s a link of resources for moving from various AWS services to Google Cloud services.

[blog] Which AI to Use Now: An Updated Opinionated Guide. Ethan looks at the current AI landscape, and which models are good for which scenarios.

[blog] 5 ways to use NotebookLM Plus for your business. A lot more people have access to this now given it’s inclusion in Google Workspace plans.

[article] If You Want Your Team to Use Gen AI, Focus on Trust. Some prior Google research also showed the importance of “trust” in scaling AI adoption.

Want to get this update sent to you every day? Subscribe to my RSS feed or subscribe via email below: