US Finalizes $9.63 billion Loan for Ford, SK On Joint Battery Venture

Ford cars are displayed at the 39 Thailand International Motor Expo, in Bangkok, Thailand, November 30, 2022. REUTERS/Athit Perawongmetha/File Photo
Ford cars are displayed at the 39 Thailand International Motor Expo, in Bangkok, Thailand, November 30, 2022. REUTERS/Athit Perawongmetha/File Photo
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US Finalizes $9.63 billion Loan for Ford, SK On Joint Battery Venture

Ford cars are displayed at the 39 Thailand International Motor Expo, in Bangkok, Thailand, November 30, 2022. REUTERS/Athit Perawongmetha/File Photo
Ford cars are displayed at the 39 Thailand International Motor Expo, in Bangkok, Thailand, November 30, 2022. REUTERS/Athit Perawongmetha/File Photo

The US Energy Department on Monday said it has finalized a $9.63 billion loan to a joint venture of Ford Motor and South Korean battery maker SK On to help finance construction of three new battery manufacturing plants in Tennessee and Kentucky.

The low-cost government loan for the BlueOval SK joint venture is the largest ever from the government's Advanced Technology Vehicles Manufacturing loan program. SK On is the battery unit of energy group SK Innovation.

The final award - first reported by Reuters - is one of a series of actions by the Biden administration to boost electric vehicle production before President-elect Donald Trump takes office next month, Reuters reported.

The amount is higher than the $9.2 billion conditional commitment announced in June 2023 for the BlueOval project. Trump and his advisers have been critical of the Biden administration's efforts to incentivize EV production.

"This program is essential to getting people to choose the United States of America," said Jigar Shah, who heads the DOE Loan Programs office, in an interview. "When you look at the competition that we have from China, it is very clear to me that they have used low-cost debt for a very long time to promote a lot of manufacturing capacity that has hollowed out many communities in Kentucky, Tennessee, and other states around the country."

The joint venture is building battery manufacturing facilities in Kentucky and Tennessee that will enable more than 120 gigawatt hours of U.S. battery production annually.

BlueOval SK said it has invested more than $11 billion to date in the construction of the three 4-million-square-foot facilities and plans to begin production at the first Kentucky plant in 2025 and will be ready to begin production in Tennessee in late 2025.

Asked why it took nearly 18 months to complete the loan, Blue Oval SK said the DOE undertook rigorous due diligence that had to conduct technical, market, financial, credit, legal, regulatory, and other reviews.

Earlier this month, the DOE said it is planning to loan up to $7.54 billion to the StarPlus Energy joint venture of Chrysler-parent Stellantis and Samsung SDI to help build two EV lithium-ion battery plants in Indiana.

The conditional commitment award must still be finalized and includes $6.85 billion in principal and $688 million in capitalized interest

The DOE said last month it was proposing to loan Rivian up to $6.6 billion to build a plant in Georgia to begin building smaller, less expensive EVs in 2028.

In December 2022, the DOE finalized a $2.5 billion low-cost loan to a joint venture of General Motors and LG Energy Solution to help pay for three new lithium-ion battery cell manufacturing facilities in Ohio, Tennessee and Michigan.



AI with Reasoning Power Will Be Less Predictable, Ilya Sutskever Says

 AI scientist Ilya Sutskever speaks at the NeurIPS conference in Vancouver, British Columbia, Canada December 13, 2024. (Reuters)
AI scientist Ilya Sutskever speaks at the NeurIPS conference in Vancouver, British Columbia, Canada December 13, 2024. (Reuters)
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AI with Reasoning Power Will Be Less Predictable, Ilya Sutskever Says

 AI scientist Ilya Sutskever speaks at the NeurIPS conference in Vancouver, British Columbia, Canada December 13, 2024. (Reuters)
AI scientist Ilya Sutskever speaks at the NeurIPS conference in Vancouver, British Columbia, Canada December 13, 2024. (Reuters)

Former OpenAI chief scientist Ilya Sutskever, one of the biggest names in artificial intelligence, had a prediction to make on Friday: reasoning capabilities will make technology far less predictable.

Accepting a "Test of Time" award for his 2014 paper with Google's Oriol Vinyals and Quoc Le, Sutskever said a major change was on AI's horizon.

An idea that his team had explored a decade ago, that scaling up data to "pre-train" AI systems would send them to new heights, was starting to reach its limits, he said. More data and computing power had resulted in ChatGPT that OpenAI launched in 2022, to the world's acclaim.

"But pre-training as we know it will unquestionably end," Sutskever declared before thousands of attendees at the NeurIPS conference in Vancouver. "While compute is growing," he said, "the data is not growing, because we have but one internet."

Sutskever offered some ways to push the frontier despite this conundrum. He said technology itself could generate new data, or AI models could evaluate multiple answers before settling on the best response for a user, to improve accuracy. Other scientists have set sights on real-world data.

But his talk culminated in a prediction for a future of superintelligent machines that he said "obviously" await a point with which some disagree. Sutskever this year co-founded Safe Superintelligence Inc in the aftermath of his role in Sam Altman's short-lived ouster from OpenAI, which he said within days he regretted.

Long-in-the-works AI agents, he said, will come to fruition in that future age, have deeper understanding and be self-aware. He said AI will reason through problems like humans can.

There's a catch.

"The more it reasons, the more unpredictable it becomes," he said.

Reasoning through millions of options could make any outcome non-obvious. By way of example, AlphaGo, a system built by Alphabet's DeepMind, surprised experts of the highly complex board game with its inscrutable 37th move, on a path to defeating Lee Sedol in a match in 2016.

Sutskever said similarly, "the chess AIs, the really good ones, are unpredictable to the best human chess players."

AI as we know it, he said, will be "radically different."