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Maybe we really will be getting that national crypto reserve after all. TSMC doubles down on manufacturing in the US. Return to the office is one thing, but Sergey Brin things RTO could lead to AGI, at least at Google. And Mark Gurman says there is an AI crisis inside Apple.
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The podcast opens with President Trump announcing potential components of a U.S. National Crypto Reserve, including Bitcoin, Ethereum, XRP, Solana, and Cardano. This announcement has led to significant price surges in cryptocurrencies, notably a 63% increase in ADA within two hours. Trump emphasized that the reserve aims to bolster the U.S. position as a global leader in the crypto space, following a history of adverse scrutiny from previous administrations.
The episode details Taiwan Semiconductor Manufacturing Company's (TSMC) plan to invest $100 billion in U.S. chip manufacturing over the next four years. This initiative involves expanding its facilities in Arizona, crucial for enhancing U.S. semiconductor production and reducing dependence on Asian manufacturers. TSMC's growth is supported by the Biden administration's CHIPS Act, designed to revive the domestic semiconductor industry.
Google is rolling out exciting features for its Gemini AI, allowing users to ask questions based on videos or what’s displayed on their phone screens. This enhancement aims to make AI interactions more intuitive and integrated into daily tasks, indicating a shift towards a more conversational AI experience.
Sergey Brin voiced in an internal memo that returning to the office could drive Google closer to achieving Artificial General Intelligence (AGI). He suggested increased work hours and the use of AI in coding as essential to accelerate this goal. This highlights the ongoing trend among tech giants emphasizing in-office work for enhanced productivity.
Mark Gurman reports on the AI crisis plaguing Apple's development of a conversational Siri, which is projected to lack competitive features until at least 2027. Apple is perceived as lagging behind rivals like ChatGPT and Alexa in conversational capabilities, raising concerns about its ability to innovate in the fast-developing AI sector, dependent on overcoming internal resource limitations.
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