Tech
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Yiwen Lu

Reported US probe of TSMC could hurt its largest customers

Tear down a Huawei product and you allegedly might find TSMC chips — even though the US government has banned the chip manufacturer from exporting to China.

A Bloomberg investigation published on Tuesday found that Huawei Technologies, China’s largest semiconductor supplier, uses an Ascend 910B chip manufactured by TSMC in its AI accelerator. If TSMC is found selling chips to Huawei, that could potentially be a violation of the US government’s export sanction against Chinese companies. 

In that case, there may be negative ripple effects for the other companies that rely on its chips — namely Apple, TSMC’s largest customer, which constitutes 25% of TSMC’s revenue. US chip giants like Nvidia, AMD, and Intel also rely on TSMC’s manufacturing capabilities. 

But things might not look that bad for TSMC: Reuters reported earlier today that the research firm which found the teardown notified TSMC of the chip before publishing its findings, leading TSMC to notify the US Commerce Department of the chip a few weeks ago. 

The Commerce Department has blacklisted Huawei from accessing US technology by limiting companies’ ability to export chips to China. The rule covers firms that produce chips outside of the US but use US semiconductor technologies — and since TSMC is a foundry that uses US-sourced equipments to make chips, the Taiwanese company has to adhere to US export rules as well. As a result, TSMC has stopped taking orders from Huawei, starting September 15, 2020. 

Concerns over TSMC’s dealings with China have surfaced recently. Last week, The Information reported that the Commerce Department was investigating whether TSMC had breached US sanction rules to sell chips to Huawei, one day after TSMC reported blockbuster earnings that led to a 12% surge in shares. In a statement to Reuters and Bloomberg, TSMC said that it was a “law-abiding” company and declined that it was the subject of any investigations. The US government has not confirmed any ongoing investigations either.

In that case, there may be negative ripple effects for the other companies that rely on its chips — namely Apple, TSMC’s largest customer, which constitutes 25% of TSMC’s revenue. US chip giants like Nvidia, AMD, and Intel also rely on TSMC’s manufacturing capabilities. 

But things might not look that bad for TSMC: Reuters reported earlier today that the research firm which found the teardown notified TSMC of the chip before publishing its findings, leading TSMC to notify the US Commerce Department of the chip a few weeks ago. 

The Commerce Department has blacklisted Huawei from accessing US technology by limiting companies’ ability to export chips to China. The rule covers firms that produce chips outside of the US but use US semiconductor technologies — and since TSMC is a foundry that uses US-sourced equipments to make chips, the Taiwanese company has to adhere to US export rules as well. As a result, TSMC has stopped taking orders from Huawei, starting September 15, 2020. 

Concerns over TSMC’s dealings with China have surfaced recently. Last week, The Information reported that the Commerce Department was investigating whether TSMC had breached US sanction rules to sell chips to Huawei, one day after TSMC reported blockbuster earnings that led to a 12% surge in shares. In a statement to Reuters and Bloomberg, TSMC said that it was a “law-abiding” company and declined that it was the subject of any investigations. The US government has not confirmed any ongoing investigations either.

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Microsoft loses exclusive access to OpenAI’s models and tools while ending revenue-sharing deal with ChatGPT maker

Microsoft shares dropped as it announced a revised agreement with OpenAI.

The amended agreement ends revenue-sharing payments from Microsoft to OpenAI, and also ends Microsoft’s exclusive access to OpenAI’s intellectual property (i.e. models and products).

OpenAI’s revenue sharing with Microsoft will end in 2030, is subject to a total cap, and is no longer dependent on its achieving artificial general intelligence.

Amazon, a likely beneficiary of this lack of exclusivity, initially popped on the news but erased those gains.

This is a developing story.

tech

China just blew up one of Meta’s key AI bets

China has ordered Meta to unwind its $2 billion acquisition of Manus, a Chinese startup (since relocated to Singapore) that makes AI agents and was central to Meta’s push to turn its massive AI investments into a real business. The move is part of the Chinese government’s effort to stop US firms from gaining access to Chinese talent and intellectual property, as Washington continues to restrict sales of advanced AI chips to Chinese companies.

Unlike its tech peers, which can sell AI through cloud services, Meta mainly uses AI to improve its existing ad business rather than as a stand-alone revenue driver. The decision strips away one of Meta’s clearest paths to monetizing AI — leaving it spending like a hyperscaler, without a hyperscaler business model.

Unlike its tech peers, which can sell AI through cloud services, Meta mainly uses AI to improve its existing ad business rather than as a stand-alone revenue driver. The decision strips away one of Meta’s clearest paths to monetizing AI — leaving it spending like a hyperscaler, without a hyperscaler business model.

tech
Jon Keegan

DeepSeek releases new V4 series models highlighting efficiency and long context

Chinese AI lab DeepSeek has released a major new version of its eponymous open-source AI models that are nipping at the heels of leading frontier models in some areas.

The most significant DeepSeek-V4 Pro and DeepSeek-V4 Flash both have a 1 million-token context — the amount of information the model can actively work with in a single session — which is a crucial feature for complex, long-running coding tasks.

DeepSeek rebuilt how the models process information under the hood, making them substantially more efficient — and that efficiency is what makes the large context window actually usable.

Also, the new models’ coding skills have closed the gap with the major frontier models from Anthropic, OpenAI, and Google.

The authors of the model acknowledge some of V4’s shortcomings, such as its lower scores on reasoning benchmarks, saying that V4 “trails state-of-the-art frontier models by approximately 3 to 6 months.”

As open-weight models, V4 can be run on any user’s own hardware, making the V4 models among the top-performing open-source models out there. V4’s large context and token efficiency are especially significant among open-source models.

But like with earlier DeepSeek models, don’t ask it about Tiananmen Square.

DeepSeek rebuilt how the models process information under the hood, making them substantially more efficient — and that efficiency is what makes the large context window actually usable.

Also, the new models’ coding skills have closed the gap with the major frontier models from Anthropic, OpenAI, and Google.

The authors of the model acknowledge some of V4’s shortcomings, such as its lower scores on reasoning benchmarks, saying that V4 “trails state-of-the-art frontier models by approximately 3 to 6 months.”

As open-weight models, V4 can be run on any user’s own hardware, making the V4 models among the top-performing open-source models out there. V4’s large context and token efficiency are especially significant among open-source models.

But like with earlier DeepSeek models, don’t ask it about Tiananmen Square.

$28.5T
Rani Molla

SpaceX thinks its total addressable market (TAM) is a whopping $28.5 trillion for its businesses, according to an S-1 filing for its upcoming IPO reviewed by Reuters. And most of that market isn’t rockets. The company says roughly 90% could come from AI — largely selling artificial intelligence tools to businesses.

“We believe that our enterprise strategy, which is focused on serving the digital needs of the world’s largest industries with Al solutions, positions us competitively to pursue this rapidly ⁠growing opportunity,” ​SpaceX said in the filing. “We believe we have identified the largest actionable total addressable market in human ​history.”

TAM, of course, assumes capturing every possible customer. But even a small slice of a $28.5 trillion market would be enormous.

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