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This paper demonstrates the first successful positional control of adding and removing individual atoms on a silicon surface using inverted-mode scanning tunneling microscopy, representing a foundational step toward molecular assemblers.
OpenAI unveiled its custom inference chip called Jalapeño, built with Broadcom, marking a significant move by Big Tech to reduce dependence on Nvidia.
Apple plans to skip M6 Pro/Max chip variants to accelerate development of M7 chips for enhanced on-device AI, aiming for a 2027 release. The move responds to competition from Nvidia, AMD, Intel, and Qualcomm in AI processing.
Apple plans to skip the high-end M6 Mac chips and instead launch an AI-focused M7 line, including M7 Pro, M7 Max, and M7 Ultra.
Tensordyne introduces Napier, an inference system using logarithmic math on silicon, claiming massive efficiency gains for MoE and reasoning models, with air-cooled racks.
Apple announces that its Private Cloud Compute architecture now extends to third-party hardware, specifically Google's servers, using Nvidia, Intel, and Google security technologies to maintain privacy guarantees for advanced AI models like AFM 3 Cloud Pro.
Analysis of Google I/O 2026 arguing that the event unveiled a complete AI stack (silicon, model, developer tools, distribution, proactive agents, and physics-aware media) rather than isolated products, positioning Google as dominant with Microsoft/OpenAI as the only plausible challengers within 18 months due to silicon maturity.
This article explores the open source silicon business model pioneered by AESC Silicon, which offers free core IP and charges for support and customization, similar to Linux. It highlights the potential for verifiable security and lower barriers for custom chips, and introduces IP Forge, a package manager for open-source IP blocks.
Apple has removed the 256GB M3 Ultra Mac Studio configuration from its online store, raising speculation about future storage options for upcoming models.