Companies, including market rivals, have long collaborated on open source software (OSS) development, resulting in a tangle of co-operation and competition known as "open source co-opetition". While prior work investigates open source co-opetition in OSS projects that are hosted by vendor-neutral foundations, we have a limited understanding thereof in OSS projects that are hosted and governed by one company. Given their prevalence, it is timely to investigate open source co-opetition in such contexts. Towards this end, we conduct a mixed-methods analysis of three company-hosted OSS projects in the artificial intelligence (AI) industry: Meta's PyTorch prior to its donation to the Linux Foundation, Google's TensorFlow, and Hugging Face's Transformers. We contribute three key findings. First, while the projects exhibit similar code authorship patterns between host and external companies (~80%/20% of commits), collaborations are structured differently (e.g. decentralised vs. hub-and-spoke networks). Second, host and external companies engage in strategic, non-strategic, and contractual collaborations, with varying incentives and collaboration practices. Some of the observed collaborations are specific to the AI industry (e.g. AI model integrations), while others are typical of the broader software industry (e.g. bug fixing or task outsourcing). Third, single-vendor governance creates a power imbalance that influences open source co-opetition practices and possibilities, from the host company's singular decision-making power (e.g. the risk of license changes) to their community involvement strategy (e.g. from over-control to over-delegation). We conclude with recommendations for future research.

Computational models are complex scientific constructs that have become essential for us to better understand the world. Many models are valuable for peers within and beyond disciplinary boundaries. However, there are no widely agreed-upon standards for sharing models. This paper suggests 10 simple rules for you to both (i) ensure you share models in a way that is at least "good enough," and (ii) enable others to lead the change towards better model-sharing practices.

Open source software (OSS) has been playing a fundamental role in not only information technology but also our social lives. Attracted by various advantages of OSS, increasing commercial companies are participating extensively in open source development, and this has had a broad impact. Enormous research efforts have been devoted to understanding this phenomenon and trying to pursue a win-win result. To characterize the current research achievement and identify challenges, this article provides a comprehensive systematic literature review (SLR) of existing research on company participation in OSS. We collected 105 papers and organized them based on their research topics, which cover three main directions, i.e., participation motivation, contribution model, and impact on OSS development. We found that companies have diverse motivations from economic, technological, and social aspects, and no one study covered all the motivation categories. Existing studies categorize five main companies’ contribution models in OSS projects through their objectives and how they shape OSS communities. Researchers also explored how commercial participation affects OSS development, including companies, developers, and OSS projects. This study contributes to a comprehensive understanding of commercial participation in OSS development. Based on our findings, we present a set of research challenges and promising directions for companies’ better participation in OSS.