The Sequence Scope: AI Incumbents and Their Favorite ML Frameworks

Weekly newsletter with over 80,000 subscribers that discusses impactful ML research papers, cool tech releases, the money in AI, and real-life implementations.

📝 Editorial: AI Incumbents and Their Favorite ML Frameworks

Traditionally, open-source innovation in technology markets is targeted to challenge the incumbents in the field and boost a new generation of startups that can capitalize on the innovations of contributors to open-source projects. From the OS wars to recent cloud or big data trends, technology markets are full of examples in which an open-source project challenges big technology incumbents, which then react by creating their own alternative. Machine learning (ML) has challenged those conventional dynamics. In the ML space, large incumbents have not only been the innovation behind some of the most popular open-source stacks but they continue to actively invest in growing those projects.

Let’s take the example of ML development frameworks, which are one of the foundational components of the artificial intelligence (AI) ecosystem. Despite the proliferation in the number and types of ML frameworks in the market, the last…