DeepSeek’s Sequel Set to Extend China’s Reach in Open-Source A.I.; The New York Times, April 24, 2026

Meaghan Tobin and Cade Metz, The New York Times; DeepSeek’s Sequel Set to Extend China’s Reach in Open-Source A.I.

"DeepSeek released its models as open source, which means others can freely use and modify them. By contrast, OpenAI and Anthropic kept their leading models proprietary. The episode demonstrated that an open-source system could perform almost as well as closed versions. In the months that followed, Chinese firms released dozens of other open-source models. By the end of 2025, these models made up a significant share of global A.I. usage.

On Friday, DeepSeek released a preview of V4, its long-awaited follow-up model, which it intends to open source. The new model excels at writing computer code, an increasingly important skill for leading A.I. systems. It significantly outperformed every other open-source system at generating code, according to tests from Vals AI, a company that tracks the performance of A.I. technologies.

DeepSeek released its new model just days after Moonshot AI, another Chinese start-up, introduced its latest open-source model, Kimi 2.6. While these systems trail the coding capabilities of the leading U.S. models from Anthropic and OpenAI, the gap is narrowing.

The implications are meaningful. Using A.I. to write code is faster and frees up human programmers to focus on bigger issues. It also means people can use DeepSeek’s latest release to power A.I. agents, which are personal digital assistants that can use other software applications on behalf of office workers, including spreadsheets, online calendars and email services."

Llama 2: why is Meta releasing open-source AI model and are there any risks?; The Guardian, July 20, 2023

Dan Milmo , The Guardian; Llama 2: why is Meta releasing open-source AI model and are there any risks?

"Are there concerns about open-source AI?

Tech professionals including Elon Musk, a co-founder of OpenAI, have expressed concerns about an AI arms race. Open-sourcing makes a powerful tool in this technology available to all.

Dame Wendy Hall, regius professor of computer science at the University of Southampton, told the Today programme there were questions over whether the tech industry could be trusted to self-regulate LLMs, with the problem looming even larger for open-source models. “It’s a bit like giving people a template to build a nuclear bomb,” she said.

Dr Andrew Rogoyski, of the Institute for People-Centred AI at the University of Surrey, said open-source models were difficult to regulate. “You can’t really regulate open source. You can regulate the repositories, like Github or Hugging Face, under local legislation,” he said.

“You can issue licence terms on the software that, if abused, could make the abusing company liable under various forms of legal redress. However, being open source means anyone can get their hands on it, so it doesn’t stop the wrong people grabbing the software, nor does it stop anyone from misusing it.”"

AI-ethics pioneer Margaret Mitchell on her five-year plan at open-source AI startup Hugging Face; Emerging Tech Brew, October 4, 2021

 Hayden Field, Emerging Tech Brew ; AI-ethics pioneer Margaret Mitchell on her five-year plan at open-source AI startup Hugging Face

"Hugging Face wants to bring these powerful tools to more people. Its mission: Help companies build, train, and deploy AI models—specifically natural language processing (NLP) systems—via its open-source tools, like Transformers and Datasets. It also offers pretrained models available for download and customization.

So what does it mean to play a part in “democratizing” these powerful NLP tools? We chatted with Mitchell about the split from Google, her plans for her new role, and her near-future predictions for responsible AI."