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Japan Rapidus: ¥920B Funding Fuels 2nm Chip Ambition

Japan is betting ¥920 billion on Rapidus, a semiconductor startup with no manufacturing experience, to challenge incumbent foundry giants. Its mission: achieve high-volume manufacturing of 2-nanometer (2nm) process node technology by 2027—an audacious, almost fantastical goal. ¥920 Billion Cumulative investment in Rapidus 2nm by 2027 Rapidus's manufacturing goal The "Why": A Nation's Bid for a Second Chance Japan, once the 1980s leader in the DRAM market, saw its market share erode due to intense competition from South Korea and a strategic pivot away from high-volume memory production. Decades later, a perfect storm of pandemic-era supply chain disruptions and escalating tech nationalism has forced a dramatic reversal in industrial policy. But Tokyo's strategy isn't just defensive; it's a calculated offensive to re-establish leadership in the semiconductor value chain, built on two core pillars. First is a shift from a defensive po...

US Government AI Access: Unpacking Opaque Safety Reviews

At DEF CON, hobbyists and academics circumvented the safety guardrails of frontier AI models, prompting them to generate instructions for illicit surveillance and disinformation. Meanwhile, the U.S. government secured pre-release access to these same foundation models.

Despite White House agreements, the government's AI safety evaluation protocols remain a black box. The U.S. government, now the world’s primary AI safety gatekeeper, offers no public insight into its benchmarks, testing methodologies, or the consequences for failing an evaluation. This opacity forces the public and independent researchers to trust the government's undisclosed safety standards, leaving no room to verify whether these powerful systems are truly safe for widespread deployment.

NIST Director Laurie E. Locascio states the official goal is to build "a culture of AI safety and responsibility"; however, this governance framework is being drafted behind closed doors.

The "Voluntary" Agreements

The White House frames these pre-deployment safety evaluations as "voluntary commitments". However, this voluntarism operates within a compulsory framework established by President Biden's Executive Order 14110. The order mandates that government evaluations prioritize specific national security risks, including threats related to chemical, biological, radiological, and nuclear (CBRN) capabilities.

While leading developers from Anthropic to Google and Microsoft have agreed to participate, they are effectively submitting to a mandatory, national security-focused risk assessment. The U.S. AI Safety Institute (USAISI) is not asking companies what they think is dangerous; it is evaluating these models against a specific threat model defined by the White House. For developers and the public, this narrow focus on catastrophic CBRN risks means that other significant harms—such as algorithmic bias, economic disruption, or the proliferation of sophisticated surveillance tools—may be systematically downplayed or overlooked in the official safety assessment.

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