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Back to EpisodesMind-Reading Without Surgery and the Billion-Dollar Bid to Stop AI Financial Bleeding
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Yesterday in AI | July 1, 2026
Mind-Reading Without Surgery and the Billion-Dollar Bid to Stop AI Financial Bleeding
The physical interface between humans, hardware, and enterprise AI models is undergoing a massive shift. This episode covers Meta's newly published Brain2Qwerty v2 research, a non-invasive brain-computer interface capable of decoding skull-external typing signals at a record 61% accuracy rate.
We look into China's massive domestic chip push as food delivery giant Meituan trains its 1.6 trillion parameter LongCat-2.0 coding model entirely on non-Nvidia processors. We analyze Etched closing a total of $800 million in funding to build TSMC-manufactured chips dedicated entirely to cutting the massive financial costs of model inference. Plus, we break down Anthropic's new verticalized Claude Science workbench, AWS committing $1 billion to deploy engineering pods on-site to build corporate moats, and Singapore-based Acti putting Google Gemini agents straight into your smartphone keyboard.
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