Trump pulled the United States out of the Trans-Pacific Partnership in January 2017, and that single executive action handed China a geopolitical gift that Beijing's central planners spent decades trying to manufacture for themselves. The TPP covered twelve nations accounting for roughly 40% of global GDP. It was deeply flawed in its intellectual property provisions and regulatory harmonization schemes (free market thinkers had legitimate criticisms worth hearing). But the core logic was sound: bind Vietnam, Malaysia, Japan, Australia, and others into a trade architecture where American commerce set the terms. When Washington walked, Beijing stepped in with the Regional Comprehensive Economic Partnership, signed November 2020, covering fifteen countries and 30% of world GDP, with China at the center of gravity. You do not get a second chance to make that offer. The protectionist coalition that killed the TPP told you they were defending American workers. The actual result: Chinese firms gained preferential access to Southeast Asian supply chains while American exporters paid higher tariffs into those same markets. Vietnam's manufacturing sector grew 8.36% in 2023 alone. American companies increasingly route production through Vietnamese factories precisely because the rules Beijing now shapes make that the path of least resistance. Free market economists have long understood that trade is not war. Every voluntary exchange creates value on both sides. The mercantilist obsession with trade deficits as national wounds produces exactly this: Washington sacrifices market access and institutional influence to protect industries that restructure anyway, just more slowly and more expensively. China did not seize Asia. Washington handed them the keys.

Robotics deep dive: HUMANOID ROBOT EMBEDDED COMPUTE Every robot company that says anything about its onboard compute quotes a TOPS number. Almost none of them are quoting the same thing. NVIDIA's Jetson Thor markets 2,070. The footnote on NVIDIA's own page: sparse FP4. The previous generation, AGX Orin, markets 275, under a column header reading sparse INT8. Divide one by the other and you get the headline claim for the generation, up to 7.5x more AI compute. Put both on the same footing and it is 3.76x. Dense FP8 against dense INT8, 517 against 137.5. The other half of the speed-up is the number format. NVIDIA states 3.5x better energy efficiency, which reconciles as 2,070 over 130 watts against 275 over 60. At matched precision it is 1.74x. Both headline claims collapse by exactly 2x, by the same mechanism. Sparsity is real, FP4 is real, and NVIDIA prints both in its spec table. Thor is a large generational step. It is roughly half the step the marketing arithmetic describes, and the difference lives in a footnote most people never resolve. Unitree's page for the H2 PLUS states its chip correctly: FP4 2,070 TFLOPS. Search-indexed writeups of the same robot render it as a 2,070 TOPS chip. Floating point silently became integer and the precision qualifier vanished. The spec survived the vendor and died in the coverage. Qualcomm's Dragonwing IQ10 markets up to 700 TOPS and states no precision. Horizon's Journey 6P markets 560 and states none either. Either could be INT8 or INT4, a factor of two, with no document that settles it. Neither publishes a power figure, so neither can be placed on a per-watt axis at all. Horizon does publish one thing nobody else does. The footnote under its TOPS figure reads TPP under 4800. Total Processing Performance is the threshold metric in US export control. That number is bounded by a regulation rather than by the silicon. Figure, 1X, Agility and Apptronik publish no compute specification at all. The only two humanoid vendors that name their chip in a public spec table are Chinese.