Each month, a colossal global audience of hundreds of millions converges on Pinterest, actively seeking out the very latest in styles and emerging trends.
A dedicated page, provocatively titled “the most ridiculous things,” serves as a fertile ground for imaginative minds, brimming with outlandish concepts designed to spark creative thought. This unconventional treasury of ideas features everything from Crocs ingeniously repurposed as vibrant flower pots and cosmetics taking on a distinctly culinary form with cheeseburger-shaped eyeshadow, to the surprisingly healthy and wholly unique vision of a gingerbread house meticulously crafted from vegetables.
However, a crucial detail often overlooked by prospective users is that the underlying technology isn’t exclusively American. Pinterest, for example, is reportedly experimenting with Chinese artificial intelligence models as it seeks to refine and optimize its powerful recommendation engine.
Here are a few options, maintaining a clear, journalistic tone:
**Option 1 (Concise and direct):**
Pinterest has been effectively repositioned as an AI-powered shopping assistant, the firm’s CEO, Bill Ready, confirmed.
**Option 2 (Slightly more active/emphatic):**
The platform has been successfully transformed into an artificial intelligence-driven shopping assistant, Pinterest boss Bill Ready explained.
**Option 3 (Emphasizing the outcome):**
Pinterest now serves as an AI-powered shopping assistant, a development confirmed by CEO Bill Ready.
Here are a few options, maintaining the core meaning while enhancing uniqueness, engagement, and a clear journalistic tone:
**Option 1 (Focus on ready access and domestic options):**
“The San Francisco-based firm has ready access to a broad spectrum of U.S. artificial intelligence laboratories, enabling it to power its operations domestically.”
**Option 2 (Focus on strategic advantage and flexibility):**
“Strategically located in a tech hub, the San Francisco entity can leverage a wide array of American AI research facilities to underpin its backend systems and core functionalities.”
**Option 3 (More direct, emphasizing choice):**
“For its underlying technological infrastructure, the San Francisco company has the flexibility to choose from numerous U.S.-based AI developers and labs.”
**Option 4 (Slightly more formal):**
“The San Francisco-headquartered organization is well-positioned to utilize a multitude of domestic artificial intelligence providers for its operational framework.”
Here are several ways to paraphrase the text, maintaining its core meaning and facts with a unique, engaging, and journalistic tone:
**Option 1 (Focus on integration):**
“Since the January 2025 launch of China’s DeepSeek R-1 model, artificial intelligence technologies from the nation have progressively become more integrated into Pinterest’s operations.”
**Option 2 (Focus on growing presence):**
“With the debut of China’s DeepSeek R-1 model in January 2025, Chinese artificial intelligence has seen its footprint within Pinterest steadily expand.”
**Option 3 (Emphasizing significance):**
“The unveiling of China’s DeepSeek R-1 model in January 2025 signaled a notable shift, with Chinese AI tech increasingly woven into the fabric of Pinterest.”
**Option 4 (More direct but unique phrasing):**
“Chinese artificial intelligence has carved out a growing role at Pinterest, a trend that began with the January 2025 release of the DeepSeek R-1 model.”
**Option 5 (Concise and impactful):**
“From January 2025, following the introduction of China’s DeepSeek R-1 model, Pinterest has progressively adopted more Chinese AI technology.”
Ready has described the recent developments, which they’re referring to as the “DeepSeek moment,” as a significant breakthrough.
“By making it open source, they ignited a surge of similar initiatives,” he explained.
Chinese tech giants are actively developing advanced AI models, with Alibaba’s Qwen and Moonshot’s Kimi already in the competitive landscape. Additionally, ByteDance, the parent company of TikTok, is reportedly investing heavily in similar artificial intelligence initiatives.
Pinterest CTO Matt Madrigal highlighted a key advantage of certain AI models: their open-source nature. This allows companies, such as Pinterest, the flexibility to download and tailor these models to their specific needs. This stands in contrast to many offerings from U.S. competitors, including OpenAI, the creator of ChatGPT, which typically do not provide the same level of access for customization.
“Our proprietary, in-house models, trained using open-source methodologies, achieve an accuracy rate 30% superior to the top commercially available options,” stated Madrigal.
Here are a few options for paraphrasing the provided text, each with a slightly different emphasis:
**Option 1 (Focus on Cost Savings):**
> The enhanced recommendations come with a significantly reduced price tag, he noted, often slashing costs by as much as 90% compared to the proprietary models favored by American AI developers.
**Option 2 (More Direct Comparison):**
> According to him, these upgraded recommendations are remarkably cost-effective, sometimes costing up to 90% less than the proprietary solutions typically used by US AI firms.
**Option 3 (Highlighting Efficiency):**
> He stated that these advancements in recommendations are achieving impressive cost efficiencies, with savings sometimes reaching 90% over the proprietary models prevalent among US AI developers.
**Option 4 (Concise and Punchy):**
> These superior recommendations, he explained, are drastically cheaper – often 90% less expensive than the proprietary models favored by US AI developers.
**Key changes made:**
* **Varied vocabulary:** “improved” became “enhanced,” “upgraded,” “advancements,” “superior.” “much lower cost” became “significantly reduced price tag,” “remarkably cost-effective,” “impressive cost efficiencies,” “drastically cheaper.”
* **Sentence structure:** Reordered phrases and clauses for flow and impact.
* **Active voice:** Where appropriate, shifted to more active constructions.
* **Journalistic tone:** Maintained a neutral, informative, and objective style.
* **Emphasis:** Each option slightly shifts the focus to cost savings, comparison, or efficiency.
Here are a few paraphrased options, maintaining a journalistic tone and focusing on uniqueness and engagement:
**Option 1 (Emphasizing Scope):**
> Pinterest is not an isolated case; numerous American businesses are actively leveraging artificial intelligence technology developed in China.
**Option 2 (Highlighting Dependence):**
> The reliance on Chinese-made AI technology extends beyond Pinterest, with a significant number of U.S. companies also dependent on these innovations.
**Option 3 (Focusing on the Trend):**
> It’s a trend that goes beyond Pinterest: a substantial portion of American enterprises are increasingly turning to China for their artificial intelligence technological needs.
**Option 4 (More Direct and Concise):**
> Pinterest’s reliance on Chinese AI technology is far from unique; many U.S. companies share this dependence.
**Option 5 (Slightly More Analytical):**
> The integration of Chinese artificial intelligence technology within American businesses is a widespread phenomenon, with Pinterest being just one prominent example.
Each option offers a slightly different nuance while conveying the original message clearly and professionally.
Here are a few ways to paraphrase “These models are gaining traction across an array of Fortune 500 companies,” with a journalistic tone:
**More Direct & Impactful:**
* Fortune 500 corporations are increasingly adopting these models.
* A growing number of Fortune 500 giants are implementing these models.
* These models are seeing significant uptake among leading Fortune 500 firms.
**Slightly More Descriptive:**
* The adoption of these models is expanding rapidly within the ranks of Fortune 500 companies.
* Numerous Fortune 500 enterprises are recognizing the value of these models and integrating them into their operations.
* These models are becoming a common feature in the strategic toolkits of many Fortune 500 businesses.
**Emphasizing Breadth:**
* From diverse sectors, Fortune 500 companies are embracing these models.
* The appeal of these models is spreading widely, attracting interest from a broad spectrum of Fortune 500 organizations.
Choose the option that best fits the specific context of your writing.
Airbnb’s chief, Brian Chesky, revealed in October that the company heavily utilizes Alibaba’s Qwen language model to enhance its artificial intelligence-driven customer service.
He outlined his decision with three straightforward justifications: the offering was deemed “very good,” “fast,” and “cheap.”
Here are a few paraphrased options, depending on the desired nuance:
**Option 1 (Direct & Informative):**
> For additional proof, one can look to Hugging Face, a popular platform where users access pre-trained artificial intelligence models, including those developed by industry giants like Meta and Alibaba.
**Option 2 (Slightly More Engaging):**
> The widespread availability of AI models, even from leading developers such as Meta and Alibaba, provides further testament, with Hugging Face serving as a central hub for these downloadable creations.
**Option 3 (Focus on Developer Involvement):**
> Major players in AI development, including Meta and Alibaba, are contributing their ready-to-use models to Hugging Face, offering further evidence of the platform’s significance as a repository.
**Option 4 (Concise & Punchy):**
> Further evidence emerges from Hugging Face, the go-to destination for downloading pre-built AI models from prominent developers like Meta and Alibaba.
Each option rephrases the original sentence while retaining the key information about Hugging Face, its function, and the involvement of major developers.
Jeff Boudier, who builds products at the platform, said it is the cost factor that leads young start-ups to look at Chinese models over their US counterparts.
“If you look at the top trending models on Hugging Face – the ones that are most downloaded and liked by the community – typically, Chinese models from Chinese labs occupy many of the top 10 spots,” he told me.
“There are weeks where four out of five top training models on Hugging Face are from Chinese labs.”
In September, Qwen topped Meta’s Llama to become the most downloaded family of large language models on the Hugging Face platform.
Meta released its open-source Llama AI models in 2023. Up until the release of DeepSeek and Alibaba’s models, they were considered the go-to choice for developers working on bespoke applications.
But the release of Llama 4 last year left developers underwhelmed, and Meta has reportedly been using open-source models with Alibaba, Google, and OpenAI to train a new model set for release this spring.
Airbnb also uses several models, including US-based ones, hosting them securely in the company’s own infrastructure. The data is never provided to the developers of the AI models they use, according to the company.
Going into 2025, the consensus was despite billions of dollars being spent by US tech firms, Chinese companies were threatening to pull ahead.
“That’s not the story anymore,” Boudier said. “Now, the best model is an open-source model.”
A report published last month by Stanford University found Chinese AI models “seem to have caught up or even pulled ahead” of their global counterparts – both in terms of what they’re capable of, and how many people are using them.
In a recent interview with the BBC, former UK deputy prime minister Sir Nick Clegg said he felt US firms were overly focused on the pursuit of AI which may one day surpass human intelligence.
Last year, Sir Nick left his post as head of global affairs at Meta, the developer of Llama. Boss Mark Zuckerberg has committed billions of dollars to achieving what he calls “superintelligence.”
Some experts are now calling these ambitions vague and ill-defined – giving China an opening to dominate the open-source AI space.
“Here’s the irony,” Sir Nick said. In the battle between “the world’s great autocracy” and “the world’s greatest democracy” – China and America – China is “doing more to democratise the technology they’re competing over”.
The Stanford report also suggested China’s success in developing open-source models could be partly explained by government support.
On the other side of the world, US companies like OpenAI are under intense pressure to increase revenue and become profitable – and is now turning to ads to help get there.
The company released two open-source models last summer – its first in years. But it has poured most of its resources into proprietary models to help it make money.
OpenAI boss Sam Altman told me in October it has invested aggressively into securing ever more computing power and infrastructure deals with partners.
“Revenue will grow super fast, but you should expect us to invest a ton in training, in the next model and the next and the next and the next,” he said.
