OpenAI CEO Sam Altman sits down with Shannon Bream to discuss the positives and potential negatives of artificial intelligence and the importance of maintaining a lead in the A.I. industry over China. OpenAI has announced a new "ChatGPT for Gov" product that the company says will provide U.S. government agencies an additional way to access their frontier large language models (LLMs) while maintaining internal security standards. "We believe the U.S. government's adoption of artificial intelligence can boost efficiency and productivity and is crucial for maintaining and enhancing America's global leadership in this technology. This includes making our models available to support public sector work that benefits society – such as public health, energy and the environment, transportation and infrastructure, consumer protection, and national security," OpenAI wrote in a Tuesday press release. The company believes that partnering with the U.S. government is key to ensuring rapidly developing AI capabilities are well understood by policymakers and responsibly integrated to deliver services to American citizens.

DeepSeek, the latest alternative to ChatGPT and other AI assistants, recently released a new version that's causing chaos and confusion across the AI landscape. With reports about DeepSeek's outstanding performance and power efficiency emerging, established entities like OpenAI and Meta are getting quite nervous. None more nervous than Nvidia, though, whose market cap plummeted in response to the hype over DeepSeek. According to Bloomberg, Nvidia lost a record 569 billion at the start of the week. Companies like Siemens Energy and Oracle also saw their stock prices fall.

There was a lot of news last week. The Guardian's journalism is independent. We will earn a commission if you buy something through an affiliate link. Donald Trump, Sam Altman, Masayoshi Son and Larry Ellison announced a 500bn initiative to expand infrastructure supporting artificial intelligence dubbed Stargate. On its heels came a press release from Meta vowing to expand its capital expenditure to 65bn in the coming year to expand its data centers.

Obsessed with throwing money and resources at AI in any way they can, the likes of OpenAI, NVIDIA, Google and Amazon all just got a surprise. Out of seemingly nowhere, Chinese AI assistant DeepSeek is suddenly the top-rated free app on Apple's App Store in the US and elsewhere, beating more familiar names, like ChatGPT. The open-source DeepSeek V3 model reportedly requires far less computing power than its competitors and, depending on who you believe, was developed for under 6 million. Shocks all around -- especially for OpenAI and all the billions it has floating around. Focusing on coding and research, DeepSeek's models are similar to other AI assistants you've heard of.

The Chinese artificial intelligence firm DeepSeek has rattled markets with claims that its latest AI model, R1, performs on a par with those of OpenAI, despite using less advanced computer chips and consuming less energy. DeepSeek's emergence has raised concerns that China may have overtaken the U.S. in the artificial intelligence race despite restrictions on its access to the most advanced chips. Like the U.S., China is investing billions into artificial intelligence. Last week, it created a 60 billion yuan ( 8.2 billion) AI investment fund, days after the U.S. imposed fresh chip export restrictions. Beijing has also invested heavily in the semiconductor industry to build its capacity to make advanced computer chips, working to overcome limits on its access to those of industry leaders.

Donald Trump has said that the launch of a chatbot by China's DeepSeek is a "wake-up call" for US tech firms in the global race to dominate artificial intelligence. The emergence of DeepSeek, which has built its R1 model chatbot at a fraction of the cost of competitors such as OpenAI's ChatGPT and Google's Gemini, wiped 1tn ( 800bn) in value from the leading US tech index on Monday. Nvidia, a leading maker of computer chips that has experienced explosive growth amid the AI boom, had 600bn wiped off its market value in the biggest one-day fall in US stock market history. "The release of DeepSeek, AI from a Chinese company, should be a wake-up call for our industries that we need to be laser-focused on competing to win," said Trump. He pointed to DeepSeek's ability to apparently deliver the same performance as existing AI models with far fewer resources, threatening the dominance of the US-led AI boom.

DeepSeek, a little-known Chinese startup, has sent shockwaves through the global tech sector with the release of an artificial intelligence (AI) model whose capabilities rival the creations of Google and OpenAI. DeepSeek-R1's creator says its model was developed using less advanced, and fewer, computer chips than those employed by tech giants in the United States. In a research paper released last week, the model's development team said they had spent less than 6m on computing power to train the model – a fraction of the multibillion-dollar AI budgets enjoyed by US tech giants such as OpenAI, Alphabet and Meta. Marc Andreessen, one of the most influential tech venture capitalists in Silicon Valley, hailed the release of the model as "AI's Sputnik moment". The sudden emergence of a small Chinese startup capable of rivalling Silicon Valley's top players has challenged assumptions about US dominance in AI and raised fears that the sky-high market valuations of companies such as Nvidia, Alphabet and Meta may be detached from reality. On Monday, Nvidia, which holds a near-monopoly on producing the semiconductors that power generative AI, lost nearly 600bn in market capitalisation after its shares plummeted 17 percent.

The launch of a new chatbot by Chinese artificial intelligence firm DeepSeek triggered a plunge in US tech stocks as it appeared to perform as well as OpenAI's ChatGPT and other AI models, but using fewer resources. By Monday, DeepSeek's AI assistant had rapidly overtaken ChatGPT as the most popular free app in Apple's US and UK app stores. Despite its popularity with international users, the app appears to censor answers to sensitive questions about China and its government. Chinese generative AI must not contain content that violates the country's "core socialist values", according to a technical document published by the national cybersecurity standards committee. That includes content that "incites to subvert state power and overthrow the socialist system", or "endangers national security and interests and damages the national image".

The DeepSeek AI chatbot, released by a Chinese startup, has temporarily dethroned OpenAI's ChatGPT from the top spot on Apple's US App Store. Also, the DeepSeek model was efficiently trained using less powerful AI chips, making it a benchmark of innovative engineering. I've tested many new generative AI tools over the past couple of years, so I was curious to see how DeepSeek compares to the ChatGPT app already on my smartphone. After a few hours of using it, my initial impressions are that DeepSeek's R1 model will be a major disruptor for US-based AI companies, but it still suffers from the weaknesses common to other generative AI tools, like rampant hallucinations, invasive moderation, and questionably scraped material. Users interested in trying out DeepSeek can access the R1 model through the Chinese startup's smartphone apps (Android, Apple), as well as on the company's desktop website.

Journalism has emerged as an essential domain for understanding the uses, limitations, and impacts of large language models (LLMs) in the workplace. News organizations face divergent financial incentives: LLMs already permeate newswork processes within financially constrained organizations, even as ongoing legal challenges assert that AI companies violate their copyright. At stake are key questions about what LLMs are created to do, and by whom: How might a journalist-led LLM work, and what can participatory design illuminate about the present-day challenges about adapting ``one-size-fits-all'' foundation models to a given context of use? In this paper, we undertake a co-design exploration to understand how a participatory approach to LLMs might address opportunities and challenges around AI in journalism. Our 20 interviews with reporters, data journalists, editors, labor organizers, product leads, and executives highlight macro, meso, and micro tensions that designing for this opportunity space must address. From these desiderata, we describe the result of our co-design work: organizational structures and functionality for a journalist-controlled LLM. In closing, we discuss the limitations of commercial foundation models for workplace use, and the methodological implications of applying participatory methods to LLM co-design.