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U.S. President Donald Trump said he had an “amazing” meeting Thursday with China’s top leader Xi Jinping that produced very important decisions.

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U.S. President Donald Trump said he had an “amazing” meeting Thursday with China’s top leader Xi Jinping that produced very important decisions. The first official Chinese comments on the meeting were less specific and suggested any trade deal is not done.

Trump met with Xi on the sidelines of Pacific Rim summit gatherings in South Korea, where the two leaders agreed to dial back some of their trade measures and work together to resolve others.

The one hour and 40 minute meeting’s agenda appears not to have touched on some perennial problems such as tensions over the self-governed island of Taiwan.

But Trump said China had agreed to buy large quantities of American farm products and to ensure steady supplies of rare earths elements used in many industries. Here are some of the key takeaways from the meeting, based on comments by Trump and U.S. and Chinese officials:

Rolling back tariffs

Trump told reporters while heading home on Air Force One that he had agreed to cut his 20% tariff increase, imposed over China’s role in producing fentanyl and chemicals used to make it, to 10%. China confirmed that will take average tariffs on Chinese goods to 47%, down from 57%.

The two sides agreed to continue to work on cracking down on illicit flows of the drug into the U.S.

Other tariff increases remain in place, but for now, the two sides have extended a truce on even steeper tariff increases that began in May when Trump and Xi agreed to allow time to work on a framework for resolving trade tensions.

Sales of computer chips to China

Trump said he discussed U.S. sales of computer chips to China. Trump and former President Joe Biden had imposed restrictions on access to the most advanced chips such as those used for artificial intelligence.

China will speak with Silicon Valley chipmaker Nvidia about purchasing their computer chips, he said.

That won’t include its next-generation Blackwell AI chip, he said, “but a lot of the chips.”

“We make great chips,” Trump told reporters on Air Force One. “Nvidia’s the leader.”

U.S. soybeans and other farm exports

Trump said the Chinese side has committed to buying “a tremendous amount” of American soybeans, sorghum and other farm products.

The Chinese side did not provide any details, but U.S. Treasury Secretary Scott Bessent later said China had agreed to buy 25 million metric tons of U.S. soybeans annually as part of the agreement. China will start by purchasing 12 million metric tons of soybeans from America between now and January, he said.

Beijing took aim at U.S. agricultural exports soon after Trump began announcing hikes on tariffs after he returned to the White House in January. Cutbacks in Chinese purchases of soybeans, beef and other products have hit U.S. farmers hard.

“Farmers should immediately go out and buy more land and larger tractors,” Trump wrote in a post on Truth Social. “I would like to thank President Xi for this!”

The U.S. soybean industry grew in response to Chinese demand starting back in the 1990s, when China began its rapid economic rise and turned to foreign producers to help feed its people. Protein-rich soybeans are an essential part of the diet.

While China relies on domestic crops for steamed beans and tofu, it needs far more soybeans for oil extraction and animal feed. In 2024, China produced 20 million metric tons of soybeans, while importing more than 105 million metric tons.

There were no specific details on other purchase agreements.

No TikTok deal yet

Beijing said it will work with the Trump administration to resolve issues related to TikTok’s ownership.

“China will work with the U.S. to properly resolve issues related to TikTok,” China’s Commerce Ministry said after Xi’s meeting with Trump.

It gave no details on any progress toward ending uncertainty about the fate of the popular video-sharing platform in the U.S. The Trump administration had been signaling that it may have finally reached a deal with Beijing to keep TikTok running there.

Rare earths, port fees and U.S energy sales

Trump told reporters that China had agreed not to tighten restrictions on exports of rare earths and the technology and equipment used to process them. Trump earlier had threatened a 100% import tax because of China’s rare earth restrictions.

“That roadblock is gone now,” he said. He said Beijing had agreed not to implement for a year its recently announced controls that had raised concerns over access to the critical minerals used in many industries, including electric vehicles and aircraft.

China and the U.S. likewise said they would not impose higher port fees on each other’s vessels.

In his post on Truth Social, Trump said China had agreed to begin purchasing oil and gas from Alaska, adding that officials would be meeting to see “if such an Energy Deal can be worked out.”

China’s take on the meeting

Xi noted that negotiating teams from both countries had reached a consensus, a likely reference to talks held in Malaysia last weekend, according to a report on the meeting distributed by state media.

The Chinese leader said the teams should complete follow-up work as soon as possible to deliver tangible results that will provide “peace of mind” to China, the U.S. and the rest of the world.

The recent twists and turns in the relationship offer lessons for the U.S. and China, Xi said. The U.S. and China should have positive interactions on the global stage that demonstrate their responsibility as major powers to achieve positive results for their countries and the world, he said.

“Both sides should take the long-term perspective into account, focusing on the benefits of cooperation rather than falling into a vicious cycle of mutual retaliation,” he said, according to the report.

Stressing that dialogue is better than confrontation, Xi listed a range of issues where China and the U.S. could work together, including combating illegal immigration and telecom fraud, anti-money laundering efforts, artificial intelligence and handling infectious diseases.

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Associated Press writers Josh Boak, Chris Megerian, Mark Schiefelbein and other AP journalists contributed to this report.



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The rise of AI reasoning models comes with a big energy tradeoff

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Nearly all leading artificial intelligence developers are focused on building AI models that mimic the way humans reason, but new research shows these cutting-edge systems can be far more energy intensive, adding to concerns about AI’s strain on power grids.

AI reasoning models used 30 times more power on average to respond to 1,000 written prompts than alternatives without this reasoning capability or which had it disabled, according to a study released Thursday. The work was carried out by the AI Energy Score project, led by Hugging Face research scientist Sasha Luccioni and Salesforce Inc. head of AI sustainability Boris Gamazaychikov.

The researchers evaluated 40 open, freely available AI models, including software from OpenAI, Alphabet Inc.’s Google and Microsoft Corp. Some models were found to have a much wider disparity in energy consumption, including one from Chinese upstart DeepSeek. A slimmed-down version of DeepSeek’s R1 model used just 50 watt hours to respond to the prompts when reasoning was turned off, or about as much power as is needed to run a 50 watt lightbulb for an hour. With the reasoning feature enabled, the same model required 7,626 watt hours to complete the tasks.

The soaring energy needs of AI have increasingly come under scrutiny. As tech companies race to build more and bigger data centers to support AI, industry watchers have raised concerns about straining power grids and raising energy costs for consumers. A Bloomberg investigation in September found that wholesale electricity prices rose as much as 267% over the past five years in areas near data centers. There are also environmental drawbacks, as Microsoft, Google and Amazon.com Inc. have previously acknowledged the data center buildout could complicate their long-term climate objectives

More than a year ago, OpenAI released its first reasoning model, called o1. Where its prior software replied almost instantly to queries, o1 spent more time computing an answer before responding. Many other AI companies have since released similar systems, with the goal of solving more complex multistep problems for fields like science, math and coding.

Though reasoning systems have quickly become the industry norm for carrying out more complicated tasks, there has been little research into their energy demands. Much of the increase in power consumption is due to reasoning models generating much more text when responding, the researchers said. 

The new report aims to better understand how AI energy needs are evolving, Luccioni said. She also hopes it helps people better understand that there are different types of AI models suited to different actions. Not every query requires tapping the most computationally intensive AI reasoning systems.

“We should be smarter about the way that we use AI,” Luccioni said. “Choosing the right model for the right task is important.”

To test the difference in power use, the researchers ran all the models on the same computer hardware. They used the same prompts for each, ranging from simple questions — such as asking which team won the Super Bowl in a particular year — to more complex math problems. They also used a software tool called CodeCarbon to track how much energy was being consumed in real time.

The results varied considerably. The researchers found one of Microsoft’s Phi 4 reasoning models used 9,462 watt hours with reasoning turned on, compared with about 18 watt hours with it off. OpenAI’s largest gpt-oss model, meanwhile, had a less stark difference. It used 8,504 watt hours with reasoning on the most computationally intensive “high” setting and 5,313 watt hours with the setting turned down to “low.” 

OpenAI, Microsoft, Google and DeepSeek did not immediately respond to a request for comment.

Google released internal research in August that estimated the median text prompt for its Gemini AI service used 0.24 watt-hours of energy, roughly equal to watching TV for less than nine seconds. Google said that figure was “substantially lower than many public estimates.” 

Much of the discussion about AI power consumption has focused on large-scale facilities set up to train artificial intelligence systems. Increasingly, however, tech firms are shifting more resources to inference, or the process of running AI systems after they’ve been trained. The push toward reasoning models is a big piece of that as these systems are more reliant on inference.

Recently, some tech leaders have acknowledged that AI’s power draw needs to be reckoned with. Microsoft CEO Satya Nadella said the industry must earn the “social permission to consume energy” for AI data centers in a November interview. To do that, he argued tech must use AI to do good and foster broad economic growth.



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SpaceX to offer insider shares at record-setting valuation

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SpaceX is preparing to sell insider shares in a transaction that would value Elon Musk’s rocket and satellite maker at a valuation higher than OpenAI’s record-setting $500 billion, people familiar with the matter said.

One of the people briefed on the deal said that the share price under discussion is higher than $400 apiece, which would value SpaceX at between $750 billion and $800 billion, though the details could change. 

The company’s latest tender offer was discussed by its board of directors on Thursday at SpaceX’s Starbase hub in Texas. If confirmed, it would make SpaceX once again the world’s most valuable closely held company, vaulting past the previous record of $500 billion that ChatGPT owner OpenAI set in October. Play Video

Preliminary scenarios included per-share prices that would have pushed SpaceX’s value at roughly $560 billion or higher, the people said. The details of the deal could change before it closes, a third person said. 

A representative for SpaceX didn’t immediately respond to a request for comment. 

The latest figure would be a substantial increase from the $212 a share set in July, when the company raised money and sold shares at a valuation of $400 billion.

The Wall Street Journal and Financial Times, citing unnamed people familiar with the matter, earlier reported that a deal would value SpaceX at $800 billion.

News of SpaceX’s valuation sent shares of EchoStar Corp., a satellite TV and wireless company, up as much as 18%. Last month, Echostar had agreed to sell spectrum licenses to SpaceX for $2.6 billion, adding to an earlier agreement to sell about $17 billion in wireless spectrum to Musk’s company.

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The world’s most prolific rocket launcher, SpaceX dominates the space industry with its Falcon 9 rocket that launches satellites and people to orbit.

SpaceX is also the industry leader in providing internet services from low-Earth orbit through Starlink, a system of more than 9,000 satellites that is far ahead of competitors including Amazon.com Inc.’s Amazon Leo.

SpaceX executives have repeatedly floated the idea of spinning off SpaceX’s Starlink business into a separate, publicly traded company — a concept President Gwynne Shotwell first suggested in 2020. 

However, Musk cast doubt on the prospect publicly over the years and Chief Financial Officer Bret Johnsen said in 2024 that a Starlink IPO would be something that would take place more likely “in the years to come.”

The Information, citing people familiar with the discussions, separately reported on Friday that SpaceX has told investors and financial institution representatives that it is aiming for an initial public offering for the entire company in the second half of next year.

A so-called tender or secondary offering, through which employees and some early shareholders can sell shares, provides investors in closely held companies such as SpaceX a way to generate liquidity.

SpaceX is working to develop its new Starship vehicle, advertised as the most powerful rocket ever developed to loft huge numbers of Starlink satellites as well as carry cargo and people to moon and, eventually, Mars.



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U.S. consumers are so strained they put more than $1B on BNPL during Black Friday and Cyber Monday

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Financially strained and cautious customers leaned heavily on buy now, pay later (BNPL) services over the holiday weekend.

Cyber Monday alone generated $1.03 billion (a 4.2% increase YoY) in online BNPL sales with most transactions happening on mobile devices, per Adobe Analytics. Overall, consumers spent $14.25 billion online on Cyber Monday. To put that into perspective, BNPL made up for more than 7.2% of total online sales on that day.

As for Black Friday, eMarketer reported $747.5 million in online sales using BNPL services with platforms like PayPal finding a 23% uptick in BNPL transactions.

Likewise, digital financial services company Zip reported 1.6 million transactions throughout 280,000 of its locations over the Black Friday and Cyber Monday weekend. Millennials (51%) accounted for a chunk of the sizable BNPL purchases, followed by Gen Z, Gen X, and baby boomers, per Zip.

The Adobe data showed that people using BNPL were most likely to spend on categories such as electronics, apparel, toys, and furniture, which is consistent with previous years. This trend also tracks with Zip’s findings that shoppers were primarily investing in tech, electronics, and fashion when using its services.

And while some may be surprised that shoppers are taking on more debt via BNPL (in this economy?!), analysts had already projected a strong shopping weekend. A Deloitte survey forecast that consumers would spend about $650 million over the Black Friday–Cyber Monday stretch—a 15% jump from 2023.

“US retailers leaned heavily on discounts this holiday season to drive online demand,” Vivek Pandya, lead analyst at Adobe Digital Insights, said in a statement. “Competitive and persistent deals throughout Cyber Week pushed consumers to shop earlier, creating an environment where Black Friday now challenges the dominance of Cyber Monday.”

This report was originally published by Retail Brew.



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