One open model now sits months behind the American frontier on cyber and biology, and refused nothing it was asked to do. The closed model refused so often the test could not be finished. Months of capability separate them. The gap in restraint is total. Part four of four.
The White House finished its frontier AI framework on 1 August and has published nothing. The threshold is classified. The benchmarks are classified. Whether open weight models are covered at all remains unanswered. Part three of four on governing what cannot be recalled.
Washington is pushing its AI security perimeter deep inside the data centre, targeting Chinese-made components that move data between GPUs. The policy may reduce cyber and espionage risks, but it could also raise costs, slow construction and expose a new weakness in America’s AI race as AI scales.
TSMC's Q2 net income surged 77.4% to a record $22 billion on AI chip demand. The foundry giant pledged an extra $100 billion for its Arizona complex, bringing total US investment to an unprecedented $265 billion.
Taiwan Semiconductor Manufacturing Co. (TSMC) has reported a 77.4 per cent year-on-year increase in second-quarter net income, reaching a record NT$706.56 billion, or approximately US$22 billion. The result exceeded Wall Street expectations and was driven by sustained demand for advanced artificial intelligence chips.
The company also announced an additional US$100 billion investment in its Arizona manufacturing operations, lifting its total commitment in the state to US$265 billion. This represents the largest foreign direct investment in United States history.
The expansion will support new fabrication plants capable of producing 2-nanometre and more advanced chips, as well as additional advanced packaging facilities. Chief executive C.C. Wei said "the company remained highly confident in the long-term growth of artificial intelligence, with strong demand continuing to come from major cloud service providers."
TSMC recorded quarterly revenue of US$40.20 billion, an increase of 33.7 per cent from the same period last year. It also raised its full-year 2026 capital expenditure forecast to between US$60 billion and US$64 billion, up from its previous guidance of as much as US$56 billion.
Advanced technologies, defined as processes of 7 nanometres or smaller, accounted for 77 per cent of total wafer revenue. Three-nanometre chips contributed 30 per cent, while 2-nanometre chips represented 3 per cent.
TSMC's market capitalisation now stands at approximately US$1.97 trillion, nearly double that of rival Samsung Electronics. The company's Taipei-listed shares have gained 59% so far in 2026.
The sheer scale of TSMC's investment signals a profound shift in the global semiconductor supply chain and the enduring strength of the AI infrastructure boom. This $265 billion commitment represents the largest foreign direct investment in US history, cementing Arizona as a critical hub for advanced chip manufacturing.
This move directly addresses geopolitical vulnerabilities by diversifying production away from Taiwan, a key strategic priority for Western governments. It ensures a more resilient supply of the cutting-edge silicon required for frontier AI models, national defence systems, and enterprise technology. Nick Marro, principal economist for Asia at the Economist Intelligence Unit, noted the investment will help anchor the US-Taiwan reciprocal trade agreement signed earlier in 2026.
However, Wall Street has reacted with cautious apprehension. Despite the record results, US-listed TSMC shares fell more than 2% on the day of the announcement. The Philadelphia Stock Exchange Semiconductor Index slid 4.2%, with Nvidia down 2.4%, Arm down 5.4%, and Marvell down 8.7%. Goldman Sachs prime brokerage analysts noted hedge funds' net exposure to AI and chip stocks is now at its lowest level this year.
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Washington is pushing its AI security perimeter deep inside the data centre, targeting Chinese-made components that move data between GPUs. The policy may reduce cyber and espionage risks, but it could also raise costs, slow construction and expose a new weakness in America’s AI race as AI scales.
Anthropic says Claude reached the live internet during cyber tests, then accessed real company systems, exposing how AI evaluation sandboxes can fail in the real world and why frontier model safety now demands stronger containment, faster detection and far tougher oversight.
Iranian-affiliated hackers are actively compromising programmable logic controllers across U.S. water, energy, and government systems. CISA, FBI, and EPA warn the threat will persist regardless of diplomacy. AI-driven automation is accelerating attacks beyond any precedent.
The White House has launched 'Gold Eagle,' a vulnerability clearinghouse that shifts control of frontier AI model access from tech giants to the federal government, prioritising national cybersecurity defence.
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