America
Silicon Valley startups are turning to Chinese open-source AI models
Misha Laskin, a theoretical physicist and machine learning engineer who contributed to the development of some of Google’s most powerful AI models, encountered a concerning picture when examining the American AI landscape earlier this year.
Laskin observed a growing interest among US AI companies in free, customizable, and increasingly powerful open-source AI models.
The vast majority of these models are produced in China and are rapidly gaining ground against their US competitors.
Assessing the current situation, Laskin stated, “These models are not far behind the frontier (the cutting edge of technology). In fact, they are surprisingly close to the frontier. What is coming now is noticeably close to the frontier.”
Following this development, Laskin founded a startup called Reflection AI to offer an open-source American alternative to the Chinese models gaining traction in Silicon Valley.
The founder of the company, which recently reached an $8 billion valuation, said, “You are starting to see signs that open model companies in China are actually pushing the frontier of intelligence and the limits of intelligence technology in general.”
Over the past year, a significant portion of America’s most popular AI startups have turned to Chinese open AI models, which compete with and sometimes replace expensive US systems as the foundation for American AI products.
More than 15 AI startup founders, engineers, and industry experts who spoke to NBC News stated that American companies’ models still hold the lead in terms of capability.
However, experts emphasized that many Chinese systems are cheaper to access, more customizable, and have become sufficiently competent for many use cases over the past year.
Cost and speed advantages are changing preferences
Investors have poured tens of billions of dollars into OpenAI and Anthropic with the expectation that leading American AI companies will dominate the global market.
But the increasing use of free Chinese models by American companies raises questions about how exceptional these models are and whether America’s insistence on a “closed model” approach is flawed.
Michael Fine, head of machine learning at the search company Exa, which is valued at $700 million and backed by established Silicon Valley investors Lightspeed Venture Partners and Nvidia, said that running Chinese models on their own hardware is, in many cases, much faster and cheaper than using large models like OpenAI’s GPT-5 or Google’s Gemini.
Fine described the process:
“We often launch a feature with a closed model, but then we realize it’s too expensive or too slow, and we ask, ‘What tricks do we have up our sleeve to make this faster and cheaper?'”
Fine stated that the solution is often to replace the closed model with an equivalent open model and then run it on their own infrastructure.
Chinese-origin systems like DeepSeek’s R1 and Alibaba’s Qwen models can be used for free because they are “open-source” or “open-weight,” meaning anyone can download, copy, modify, and run them.
These systems differ from “closed” systems accessed through data centers controlled by major tech giants, such as Anthropic’s Claude or OpenAI’s GPT models.
The technology gap is closing fast
For years, the closed-source models from OpenAI and Anthropic performed far better than both American and Chinese open alternatives.
Even open-source initiatives like BloombergGPT, trained by institutions with resources like Bloomberg on their own financial data, lagged behind OpenAI’s closed models in financial knowledge.
However, over the past year, Chinese companies like DeepSeek and Alibaba have made significant technological strides. According to metrics tracked by Artificial Analysis, an independent AI benchmarking company, their open-source products now approach or match the performance of leading closed American models in many areas.
“The gap is really narrowing,” said Lin Qiao, co-creator of PyTorch, the dominant framework for training AI models, and CEO of Fireworks AI, regarding the capability difference between American closed-source and Chinese open-source models.
As a result of this performance increase, platforms like OpenRouter, which allow users to choose between different models, are seeing a shift toward Chinese open-source models.
Jerry Liu, founder of the productivity app Dayflow, estimates that about 40% of his users now prefer to use open-source models.
Dayflow offers an application built on basic tasks like scanning screenshots and summarizing user activity.
Users can choose between Google’s Gemini model and smaller open-source options like Alibaba’s Qwen.
Liu noted that for tasks like describing a user’s screen, the Qwen model is extremely consistent, stating, “Qwen is as good as GPT-5 for my use case.”
Unlike GPT-5 or Gemini, a smaller version of Qwen can be run at a relatively low cost or for free.
Liu mentioned that paying for closed model usage could cost Dayflow up to $1000 per person, making cheaper open-source models critical for the application’s sustainability.
Privacy sensitivity encourages local processing
The open-source models used by Dayflow perform all processing on each user’s own computer. Liu stated that this is attractive to users who do not want to send their data to the cloud for privacy reasons.
Emphasizing his preference for using open-source models on his own device, Liu said, “Would I use a product where my entire screen is beamed to some random guy’s cloud? Never.”
In addition to increased performance, stronger privacy, and lower costs, open-source models are also gaining ground due to ecosystem advantages.
The rising adoption rate among developers and the open-source systems they create encourage more software engineers to use these models.
Antonio Vespoli, co-founder of the browser assistant startup Circlemind AI, said that Chinese models now dominate online developer resources.
There is a practical reason for this: Chinese models like Qwen, which Airbnb CEO Brian Chesky stated they rely on “heavily,” have abundant training guides and community support.
Charles Zedlewski, chief product officer at the AI infrastructure company Together AI, noted that developers now find it simpler and more efficient to start with open models and adapt them with their own data.
Zedlewski stated that companies understand their needs more clearly as they launch their first AI applications.
Of the top 20 models among users of Kilo Code, a popular application that helps software engineers write code, seven are of Chinese origin, and six of them are open-source.
Beijing’s strategic support and production speed
While most of America’s AI developments occur in the private sector and with a closed-model approach led by industry giants like OpenAI and Anthropic, the Chinese government plays a more active role in charting the country’s AI vision.
In a speech on November 1, Chinese President Xi Jinping called for “more cooperation in open-source technologies.”
In March, China’s top economic planning authority announced its intention to support an ecosystem of open-source models.
While Chinese labs generally release their models openly, American companies like OpenAI achieved early success with closed models and have remained committed to that approach.
Furthermore, many Chinese companies are releasing their products at a faster pace than their American competitors.
Alibaba has released a new model roughly every 20 days this year, while the average time between Anthropic’s releases has been 47 days.
Nathan Lambert, a senior research scientist at the Allen Institute for AI and an expert on the open model ecosystem, told NBC News that the recent progress of Chinese models is no coincidence.
“The Chinese are real innovators in AI,” Lambert said.
Lambert, who writes extensively about China’s AI developments on the Substack platform and is considered an expert on China’s open-source ecosystem, added that the balance of power has shifted rapidly in the last 12 months.
Some in Silicon Valley note that American models still hold a significant advantage at the cutting edge of AI capabilities and that closed American models offer a user-friendliness that cumbersome open models cannot match.
Tim Tully, a partner at Menlo Ventures, argued that closed models are still much more capable and generally more useful:
“The tools are better, the productivity is better, the agent frameworks being built and used by everyone are better with Anthropic and OpenAI. They just work better. So the ecosystem is strong in the closed-source environment.”
However, many companies may avoid using Chinese models due to the real or perceived risks of using a product built on a Chinese-origin foundation.
“There is a perceived risk that buyers, whether from the private or public sector, are hesitant to purchase a product based on a Chinese-origin open-weight model,” said Tully, an investor in Anthropic, one of the world’s leading closed-model companies.
The US open-source ecosystem is waking up
American AI companies and the federal government have taken notice of the recent rise of Chinese models. Experts have described America’s lack of powerful open-source models as an “existential” threat to democracy.
Although Meta’s high-profile Llama series has historically led American open-source efforts, CEO Mark Zuckerberg has signaled that Meta does not intend to make all of its “superintelligence” AI models open-source.
The stagnation in the performance of Llama models in recent years is also seen as one of the reasons open-source users have shifted to better-performing Chinese models.
But the US open-source ecosystem may be gradually awakening, with efforts by American innovators to enhance their competitiveness.
In July, the White House released an AI Action Plan that called on the federal government to “Promote Open-Source and Open-Weight AI.”
In August, OpenAI, the creator of ChatGPT, released its first open-source model in five years. Announcing the model’s launch, OpenAI referenced the importance of American open-source models, stating, “Broad access to these capable open-weight models created in the US helps expand democratic AI.”
The Seattle-based Allen Institute also released its latest open-source model, Olmo 3, at the end of November, designed to help users “quickly build reliable features for research, education, or applications,” according to the launch announcement.
Lambert from the Allen Institute also launched the “ATOM Project” (American Truly Open Models).
The ATOM Project’s manifesto states: “America has lost its lead in both performance and adoption in open models and is on track to fall further behind.”
“If we want to be the leading nation in the age of AI, we cannot cede such a critical piece of the ecosystem to any one nation,” Lambert said in a statement to NBC News.
America
US national debt hits record $40 trillion as borrowing accelerates
The US national debt has reached a record $40 trillion as borrowing expanded at a historic pace.
The development has heightened investor concern over the state of US public finances, despite Donald Trump’s pledge to bring spending under control.
Gross federal debt crossed the threshold on Tuesday, according to Treasury Department data published on Wednesday.
Calculations by the Financial Times show that debt climbed by $3 trillion over the past year, registering the fastest rate of increase in history outside the pandemic period.
Marc Goldwein, senior policy director at the Committee for a Responsible Federal Budget think tank, said:
“This is like a giant, flashing ‘check engine’ light. It doesn’t mean your engine will melt down tomorrow, but it is a clear sign that things have gotten quite out of hand. And it’s not just the size of the number; it’s the speed at which we’ve reached it.”
The US national debt has surged over the past two decades, climbing from below $6 trillion at the start of the century (about $12 trillion in 2026 dollar terms) as massive public spending during the financial crisis and the Covid-19 pandemic compounded enormous budget deficits.
In the past 10 years alone, the total debt load has doubled. Debt held by the public—a key gauge tracked by markets that excludes intra-governmental holdings—now exceeds $32 trillion, roughly equal to the size of the US economy.
The non-partisan Congressional Budget Office expects debt held by the public to surpass the post-Second World War record of 106% of GDP by the end of the decade and to reach 120% by 2036.
As borrowing increased, investors began demanding a higher premium to hold US bonds.
This has driven interest rates higher, leaving debt servicing costs larger than national defence spending.
The situation has created unease in Washington. On Wednesday, prior to the release of the debt data, the Treasury Department announced it would double its buybacks of long-term government debt in a bid to halt a recent sell-off.
Last week, the US paid its highest borrowing costs since 2001 to sell 30-year bonds.
Wednesday’s 10-year Treasury auction produced the highest yields since 2007 as investors fretted over the scale of the debt.
Ed Yardeni, president of Yardeni Research, said: “That is an awful lot of money being borrowed. It is going to feed on itself with interest expenses. If interest rates rise because of concerns about the high debt load, that will lead to even more interest expense. It’s a vicious cycle.”
Trump returned to office in 2025 promising to rein in “wasteful” government spending.
Treasury Secretary Scott Bessent pledged to reduce the budget deficit to 3% of GDP by the end of Trump’s term.
However, measures to trim spending in some areas were offset by broad tax cuts in the president’s signature 2025 fiscal legislation, the “One Big Beautiful Bill”, which will add more than $4 trillion to the debt by 2034.
Trump also requested an increase of more than 50% in annual defence spending, seeking $1.5 trillion in the largest budget request in US history.
The deficit fell to 5.9% of GDP in 2025 from 6.3% the previous year. The CBO expects the deficit to decline to 5.8% this year. The US national debt comprises years of accumulated deficits compounded by interest charges.
Analysts noted that both US political parties missed opportunities during periods of economic expansion to take significant steps toward curbing spending.
Calculations by the Congressional Joint Economic Committee indicate that over the past year, total national debt grew by roughly $7.9 billion a day, or approximately $91,000 per second.
Budget specialists said they hoped crossing the $40 trillion threshold would spur politicians from both parties to take meaningful steps to bring borrowing back under control.
Michael Peterson, head of the Peterson Foundation, a think tank dedicated to returning debt to a sustainable trajectory, said:
“My hope is that this serves as a national alarm and wake-up call to address our fiscal future. If we keep borrowing this much, we are going to face a day of reckoning in financial markets… People will wake up one day and decide: ‘You know what? I’m more worried about the United States now. I’m going to demand higher interest rates, or I’m going to put my money somewhere else.'”
America
Independent US oil firms set to sign output deals in Venezuela
Several independent US oil producers are expected to sign production contracts with Venezuela’s state-owned oil company in the coming days.
According to sources who spoke to Politico on condition of anonymity because details of the event have not yet been made public, a signing ceremony involving several small US producers and Petróleos de Venezuela (PDVSA) was scheduled to take place in Houston on Tuesday (18 August) evening.
One source said Venezuela’s oil minister and the head of PDVSA’s exploration division were scheduled to attend the ceremony. Another source added that the event could be postponed until Wednesday morning.
The White House, which did not immediately respond to a request for comment, was not expected to be officially involved in Tuesday’s ceremony.
However, the development follows a visit by senior officials to Caracas in late April, where they signed memorandums of understanding that established the framework for formal production agreements in the country, which holds some of the world’s largest oil reserves.
Despite the tailwind provided by high crude prices, negotiations had stalled over key details such as dispute resolution, while officials in Caracas contended with two devastating earthquakes in June that claimed thousands of lives.
Venezuela’s interim president, Delcy Rodríguez, announced new regulations last month that offer more favourable fiscal terms to international oil companies.
According to an industry source close to the negotiations, the signing of the contracts comes after the Trump administration renewed pressure on Rodríguez to ensure PDVSA concludes agreements with American firms.
The source said these efforts included outreach by Secretary of State Marco Rubio to discuss how increased oil revenues could assist the country following the devastating earthquake earlier this summer.
The source added:
“Delcy reached a renewed awareness that increased oil production is the way to rebuild after the earthquakes and to achieve what her government wants to do for the people suffering from the earthquakes.”
David Goldwyn, president of the international energy consultancy Goldwyn Global Strategies, said investments from independent oil producers and boosting output from existing fields would serve as the “primary source of new oil growth for the next few years” for Venezuela.
“While the oil majors are trying to buy time to see how the political situation clarifies and whether they can cherry-pick the best assets, independent companies can de-risk their projects in the short term,” Goldwyn said.
However, Goldwyn noted that these investments would add no more than 300,000 barrels per day to the country’s oil production over the next year, falling far short of the multi-million-barrel increase that officials in Caracas and Washington wish to see.
“Until the framework improves, electricity is restored, and the political picture becomes clear, all we will see is incremental production growth,” the strategist said.
America
US-Brazil rift widens over proposed sanctions and trade tariffs
Diplomatic tensions between the two countries remain at a peak as the US government considers new sanctions targeting a judge on Brazil’s Supreme Court.
According to sources familiar with the matter who spoke to the Financial Times (FT), the Trump administration is evaluating new measures against Justice Alexandre de Moraes, whom it sanctioned last year on human rights grounds before subsequently rescinding that decision.
Washington’s renewed focus on the magistrate threatens to widen the rift between Brazil and the US across trade and political spheres, casting a shadow over upcoming elections in Latin America’s largest nation.
A little over a year ago, De Moraes was subjected to sanctions under the Global Magnitsky Act. US Treasury Secretary Scott Bessent accused him at the time of engaging in a “repressive censorship campaign, arbitrary detentions that violate human rights, and politicized prosecutions,” including measures directed at former Brazilian President Jair Bolsonaro.
Bolsonaro, an ally of Donald Trump, was sentenced last year to 27 years in prison for plotting a coup.
However, sanctions targeting the judge, his wife, and a company owned by his family were lifted in December following a meeting and phone conversations between Trump and his Brazilian counterpart, Luiz Inacio Lula da Silva.
According to a source familiar with the matter who requested anonymity, US interest in De Moraes was revived partly due to a case that ignited a debate over press freedom in Brazil.
The judge authorized police raids against a journalist and two sources as part of an investigation into media coverage concerning a Supreme Court justice and his family.
De Moraes defended the action, arguing that the information in question had been illegally obtained and disclosed, thereby endangering the safety of the justice’s family.
The judge gained global prominence several years ago following a public conflict with Elon Musk, which briefly led to the billionaire’s X platform being blocked in Brazil.
Supporters say he “helped protect Brazilian democracy against a wave of misinformation.”
However, critics, including the Trump administration, view him as violating free speech rights.
“He went after the president’s supporters. Not just Elon Musk, but MAGA supporters in Brazil as well. Even if we want to build good relations with Brazil, it is clear that this man is an adversary,” said a person familiar with the US government’s thinking.
Another person stated that the reimposition of Magnitsky sanctions is “under evaluation,” noting that such sanctions entail the freezing of US-based assets and a prohibition on American companies and individuals conducting business with targeted parties.
While it remains unclear whether or when a decision will be reached, any such move would intensify an escalating retaliatory spiral between the two most populous countries in the Americas.
Tensions initially erupted more than a year ago when Trump imposed a 50% tariff on Brazil while demanding that prosecution proceedings against Bolsonaro be dropped.
That tariff was subsequently invalidated by the US Supreme Court.
A brief period of de-escalation since then has drawn to a close, with the US applying a 25% import tariff on numerous Brazilian products in July.
Last month, Brazil denied entry to two Trump envoys over concerns regarding potential interference in its upcoming October elections. Washington rejects those allegations.
Lula, who is seeking re-election for a fourth presidential term, suggested that the US might act to support his main opponent, Senator Flavio Bolsonaro, the jailed former leader’s son.
The 80-year-old president has also engaged in a sharp public exchange of words with US Secretary of State Marco Rubio.
On Sunday, thousands of supporters gathered to welcome Lula at a stadium in Sao Bernardo do Campo, an industrial suburb of Sao Paulo, for the official launch of his election campaign.
Lula originally achieved prominence in the area during the late 1970s as a union leader heading metalworkers’ strikes.
Speaking at the venue, Lula said, “I thank the working men and women of this country who believed that someone like themselves could achieve more than someone different from them. As long as I am alive, I will not stop fighting, and I will not allow the right [to prevail].”
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