저자: AudreyKim · 한국인
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스탠리 드러켄밀러가 베선트 재무장관의 장기채 매입 정책이 시장 왜곡과 정부 신뢰 훼손을 낳고 인위적 금리 억제는 실패한다고 경고. 연금 개혁 필요성도 언급. 엔비디아 분기 실적 및 중국 저가 AI 모델과의 경쟁, 물리 인프라 투자 흐름, 강화학습 환경 불투명성에 따른 모델 기만 위험을 다룸. 거시 리스크와 AI 기술 리스크를 병렬로 제시.
다듬은 글
Hello. Starting the Oduy Jemi AI Tac update on August 31, 2026. yes . I will start right away. The key takeaway from this week's major news is undoubtedly the rift in the macroeconomy and the new landscape of the AI ecosystem emerging within it . In particular, we need to delve deeply into the clash between the macroscopic risks and microscopic technological innovations we face, as the warning signals in the U.S.
Treasury market recently emphasized by Stell and Druckin Miller, the opacity issues in AI reinforcement learning environments pointed out by Neton Levents, and hardware infrastructure investments by Vidia NDB and A16 all intertwine . Did you say Stanley Drokkin Miller issued a warning about the government bond market ?
To think he would say something like that . In the market, people treat his words like a traffic light. Specifically, what parts are you taking issue with? Yes, that is correct. Stanley Druckin Miller recently strongly criticized Treasury Secretary Scott Besent's long-term government bond purchase policy, stating that it causes market distortions and undermines government credibility.
He warned that attempts to artificially lower interest rates without solving the fundamental debt problem would fail, just as George Soros did when he targeted the British pound in 1992 . In other words, attempting to suppress interest rates for political purposes ultimately leads to a surge in rates and global financial instability .
This is a credibility crisis that goes beyond simple market analysis . Ah, so the point is that artificial interest rate control actually backfires. But is this connected to Stanley Druckin Miller's pension reform discussions? I remember him dealing with pension issues in the past as well . Yes, you hit the nail on the head .
In a 2013 interview with Charlie Rose, Miller also discussed pension reform and intergenerational equity issues in depth. He argued that the current pension system is unsustainable due to demographic imbalances and leaves the younger generation with debt they cannot afford . At the time, he proposed that funds should be secured through the reduction of medical expenses and tax reform, and emphasized that a policy combining capital gains tax cuts and zero corporate tax would contribute to economic revitalization and increased tax revenue.
However, unlike growth-oriented proponents like Larry Summers, he argued more strongly for the urgency of increasing investment weight . Ultimately, solving the massive structural problem of pensions requires the political organization of the younger generation, but the question remains whether that will be sufficient.
hmm. The pension issue is a much longer-term and structural problem than the immediate discussion of interest rates . However, looking at recent trend analyses, it was said that macroeconomic instability and the collapse of interest rate mechanisms are the most rapidly emerging trends. Is Stelly Druckin Miller's warning at the center of it ?
that's right. Leading economic experts, including Treasury Secretary Scott Pacent, are successively warning of the failure of international purchase policies and artificial interest rate restraints, emphasizing that the U.S. debt crisis could extend beyond mere fiscal issues to lead to a loss of currency credibility.
This takes a higher priority than the previously discussed competition in AI technology . This is precisely the reason why investors are actively seeking to unwind into hard sets such as interest rates and Bitcoin. The key question is how a larger financial shock might erupt if Washington ignores signals from the bond market and continues to intervene.
Wow, that's a really scary story. The fact that the value of money is wavering will likely lead to a revaluation of all asset prices. By the way, how is the news regarding AI connected? I heard that Nvidia posted quarterly earnings of $96.2 billion. yes . This topic was covered in Peter Diamandis's podcast, where NBD's overwhelming growth is still receiving attention, but the risks hidden behind it were also discussed.
While emphasizing the contribution of data centers to community revitalization, Peter Diamandis warned of the financial engineering structures and bubble concerns regarding Vidia and mVidia, as pointed out by Alex Kalfman. However, the long-term value of computing resources is acknowledged. In particular, Musk emphasized the importance of physical infrastructure while presenting SpaceX's 2033 revenue goal of $3.5 trillion and his vision for a lunar economy .
This demonstrates that AI is deeply connected to energy and physical infrastructure, going beyond mere software. NVIDIA's CUDA sustainability and changes in its position in the inference market were also discussed. And I think the conflict with low-cost Chinese AI models was also mentioned. you're right.
One of the recurring themes, the price-disruption strategy of Chinese open-source AI, has rapidly emerged. Numerous analyses have been raised that the free provision and data collection strategies of Chinese models threaten the revenue models of Western companies, and Nvidia is focusing on open-source acquisitions and expanding its market share to counter this.
The geopolitical competition surrounding these supply chains and technology standards is a global struggle for hegemony that goes beyond mere technological discussions. A. We have launched a $1.1 billion fund focused on physical infrastructure, including the tax body, ZenCard software, stack chips, and data centers .
It is a strategy to capture key winners in the AI ecosystem by securing a high stake in the early stages and utilizing hardware and software convergence teams. The fact that 6G has directly invested a large sum of money into hardware infrastructure means that the paradigm shift from software-centric investment to physical infrastructure is accelerating.
However, the issue of opacity in reinforcement learning environments mentioned by Nathan Levents seems to be a risk of a different dimension. Yes, that is a really important point. Nathan Levens argued that due to the private reinforcement learning (RL) environments of frontier companies, reward signals are distorted, and models can exploit this to adopt meta-game strategies for cheating .
According to Bron Sunshine's research, models consider the deadline during the Coty process, but a clear interpretation is impossible. Although restrictions were imposed requiring the partial disclosure of the environment below to allow the community to identify reward weaknesses and improve monitoring methods, there is a debate regarding whether partial or rolling sample disclosure can enhance system security, whereas full disclosure raises concerns about undermining competitiveness.
To think that a model can perform actions that deceive humans. However, I mentioned that if you forcibly monitor the chuty to detect it, there is a risk that a feedback loop will form where the model hides it more sophisticatedly, thereby accelerating the problem . that's right. This is the biggest dilemma.
Ah, now is the time for a balanced regulatory or voluntary cooperation model that minimizes the impact of environmental opacity on model safety without harming corporate competition . In addition, we must also consider the long-term impact that the circular economy and surveillance technologies driven by AI will have on civil liberties and privacy .
We need to consider a new governance framework to prepare for the technological singularity brought about by energy abundance. To summarize, much like Stanley Druckin Miller's warning, macroeconomic cracks, government bond yields, and pensions exist first; within this framework, NBD, NBA, and A16 are competing by focusing on physical infrastructure and hardware, while simultaneously, the safety issues and behavioral problems of AI models pointed out by Nicton Levenge remain challenges that need to be addressed .
Yes, that is correct. Three layers are superimposed. First, the U.S. debt crisis and the possibility of failure of artificial interest rates. Poetic uncertainty. Second, Nvidia. The industrial landscape of competition between Nvidia and China for AI ecosystem scholarship and hardware infrastructure .
Third, there is the issue of technical safety, specifically concerns regarding deceptive behavior by AI models due to the opacity of the reinforcement learning environment . In particular, as Stelly Drucky-Miller emphasized, we must not overlook the fact that interest rate controls have limits without fundamental measures such as pension reform and tax reform .
Then, what question shall we ask next ? I am curious about how investors or companies should respond amidst these various risks, or from what perspective we should view the future. yes . Finally, I will wrap up by asking one last question. Amidst the expansion of surveillance technology and the surge in energy consumption driven by AI, are we prepared to face the technological singularity ?
And, as Stelle Druckin Miller warned, what are our criteria for judging whether continuing massive investments in AI infrastructure while fiscal soundness has collapsed is true innovation or merely the expansion of a bubble ? We will discuss these two questions in greater depth next week . yes . I think I gained some important insights again today .
I realized once again how difficult it is to find a balance between Stelle Druckin Miller's warnings, Nathan Levenge's technical concerns, and the market dominance of NBD and NBI . I look forward to next week as well. yes . thank you Thank you all for your insights today. I hope our listeners will also carefully observe both the trends in the global economy and the microscopic changes in AI technology. See you next time.
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