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THE DAILY INDEX

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GENERAL

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COURT HEARS CXMT'S DRAM WAS BUILT FROM THE START ON STOLEN SAMSUNG IP

Testimony in a South Korean criminal case alleges that CXMT, now China's largest DRAM maker, was founded with no in-house research capability and a deliberate plan to obtain Samsung's process technology IP rather than develop it independently. Former Samsung engineer Jeon, who moved to CXMT around 2016 after 28 years at Samsung, was sentenced to seven years in prison this April for stealing a 600-step Process Recipe Plan that detailed Samsung's DRAM fabrication process, including its 18nm-class node, information covering deposition and etch conditions, anneals, temperatures, and tool types that can shave years off developing a memory node from scratch.

SPACEX FINALLY RECOVERS STARSHIP AFTER 24 DAYS OF TUGGING IT THROUGH ROUGH WATERS

After Starship's upper stage splashed down intact in the Indian Ocean following its 13th test flight in late July, SpaceX decided to actually recover it, an unplanned bonus given the vehicle survived reentry in one piece. What followed was a grueling 24-day tow through increasingly rough seas, with the 171-foot spacecraft finally reaching calm waters off Christmas Island, Australia, where engineers will now inspect it before deciding how and when to get it back to Starbase. A close physical inspection gives engineers far more detail than onboard sensors and cameras alone, informing modifications ahead of Starship Flight 14, targeted for late August to early September, which will attempt the vehicle's first full orbital test.

TIANGONG ULTRA ROBOT CUTS ITS 100M TIME FROM 21.50 S TO 9.39 S IN ONE YEAR

Beijing Humanoid Robot Innovation Center's Tiangong Ultra completed a 100-meter heat in 9.39 seconds, down from 21.50 seconds at last year's World Humanoid Robot Games. Honor's Lightning followed at 9.47 seconds after researchers lengthened its legs by 10 cm. A preparatory run reached 9.32 seconds and a 15.5 m/s peak speed. The results show a greater than 2× year-over-year improvement in full-size humanoid sprint performance.

NVIDIA IS SPENDING $6 BILLION TO BUILD A US ALTERNATIVE TO CHINESE AI MODELS

Nvidia is deploying roughly $6 billion in a major strategic transaction with AI startup Poolside to develop high-performance open-weight models capable of competing directly with leading Chinese releases like DeepSeek and Kimi. Under the agreement, Nvidia is paying $6 billion to license Poolside's core technology—including its Model Factory platform—and is investing an additional $1 billion at a $12 billion valuation while absorbing over 100 of the startup's engineers. The incoming technical team will focus on expanding Nvidia's open-weight Nemotron project, strengthening Western frontier model development and ensuring competitive parity against state-backed open-source AI initiatives emerging from China.

THE QUANTUM ARMS RACE HAS A BASELINE PROBLEM

As the US and China both push quantum computing, sensing, and networking as strategic priorities, the real question isn't who's ahead but ahead of what, since a quantum advantage is only meaningful relative to the classical system it's compared against. Quantum radar is the clearest case: the underlying physics of quantum illumination is real and has shown genuine detection gains in controlled lab conditions, but a laboratory advantage doesn't automatically translate into a long-range operational radar advantage once range, clutter, atmospheric loss, and receiver complexity enter the picture. The same trap applies to quantum machine learning and quantum computing broadly, where a system can look superior on paper simply because it was benchmarked against a weak or poorly optimized classical competitor rather than the best available alternative.

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