GPT-6 Astra: Solving Mathematical Conundrums?

Treasury's bond purchases, set to begin on September 9, the bond market is exploring its direction and observing cautiously. Bond traders are refraining from taking positions, deeming the impact of these purchases on the market uncertain.

Furthermore, with the consumer price index (CPI) and producer price index (PPI) announcements scheduled, the market is adopting an even more prudent stance.

Intel rose 9% and AMD rose 6%, while the semiconductor equipment sector also performed well.

Notably, Lumentum in the optical communication sector surged 11%. However, the memory semiconductor sector showed somewhat mixed performance.

As the U.S. government implemented investments in quantum technology, the stock prices of related companies showed strength. D-Wave Quantum and Rigetti Computing rose 4-6%.

This investment confirms the U.S. government's proactive equity acquisition efforts to secure quantum computing technology.

In the Middle East situation, the U.S. and Iran are in conflict in different ways. Iran claims to have attacked a U.S. Navy vessel, while the U.S. government has not confirmed the attack.

Iran seeks to disrupt U.S. bond yields and oil prices, while the U.S. aims to avoid a cycle of threats of attack and retaliation against its own interests, such as energy and data centers, as much as possible.

Goldman Sachs recently raised its oil price forecast by $5 per barrel. Consequently, it anticipates the possibility of high oil prices being maintained until next year.

However, it expects oil prices to gradually decline in 2027 as production recovers.

Methods to reduce debt include tightening one's belt or earning more money; by choosing the latter through AI investment, the aim is to alleviate debt burdens. This is considered essential investment to prevent China's domination of AI.

Despite the high-interest rate environment, there is a prevailing view that a global bull market will be maintained. Yardeni anticipates the S&P 500 index could reach 8,400 by year-end.

Raymond James also expects market momentum to recover after Labor Day. HSBC raised its S&P 500 forecast to 8,100 while warning of potential headwinds.

OpenAI is increasingly shortening its new product release cycles, accelerating technological development. An event related to GPT-6 is scheduled for September 16, and a DevDay is announced for September 29.

In addition to 'GPT-6 Astra,' various new products such as 'GPT-6 Luna,' 'Terra Sol,' and 'GPT Image 2.5' are scheduled for rapid release. This demonstrates that AI is developing itself and accelerating at an exponential rate.

There is intense interest in the performance of OpenAI's next-generation model 'Astra' in solving mathematical conundrums. According to publicly available information, Astra's accuracy rate for mathematical problems is 17%, while its own undisclosed model reaches 47%.

Notably, claims that Astra's internal model solved the Navier-Stokes equations have sparked debate about AI's mathematical reasoning abilities. However, it is uncertain when general users will be able to access such high-performance models.

According to reports from the Financial Times, OpenAI and Anthropic are pursuing obtaining investment-grade ratings as a next step. This is because borrowing is difficult without investment-grade status.

Securing an investment grade is seen as a strategy to reduce borrowing costs and facilitate access to the corporate bond market, thereby mitigating potential hurdles during future listing processes.

Meta has launched its AI agent, 'Muse.' Muse can perform various functions such as booking travel, sending emails, filling out forms, negotiating rates, and making purchases.

Notably, it continues to operate in the background even after closing the app, and can be commanded and executed directly through WhatsApp. Meta plans to further enhance its scalability through integration with Meta AI glasses.

Artificial intelligence (AI) is a much grander technology than most people realize, and currently, several companies with market capitalizations exceeding $1 trillion are fiercely competing for the top AI model spot every month. This is regarded as an abnormal acceleration phenomenon, beyond mere market competition.

Intelligent and talented individuals are continuously striving and driving technological advancement, and this situation cannot be considered a normal market phenomenon. We are currently in the midst of a technological generational shift, and it is argued that this unprecedented opportunity should not be missed.

Regardless of who wins the AI model competition, a massive inflection point is forming across the entire AI industry, which will profoundly impact the economy and society as a whole.

Oracle is about to release its earnings, and AI demand itself has already been sufficiently proven. Now, the key challenge is to demonstrate economic viability in actual business based on AI demand.

The market harbors doubts about the actual product delivery and service provision timelines, given the high development costs. Problems could arise if customers wait too long and leave, or if debt increases due to development costs.

Therefore, in this earnings release, future business guidance, rather than just past performance, will play a crucial role in gaining market confidence. It is pointed out that concrete plans are needed for AI demand to translate into revenue.

Intel and AMD plan to further increase CPU prices by 10% next month. Additionally, they announced a strategy to discontinue production of low-margin small-core products and focus on high-end products.

This is interpreted as an intention to improve profitability by concentrating resources on high-margin products. However, such a strategy could also provide new opportunities for the market.

If a shortage of certain products occurs, competitors like Qualcomm or MediaTek could enter the market and gain an opportunity to increase their market share.

It has been argued that massive capital injection and increased demand for raw materials for AI infrastructure construction will inevitably lead to inflation. Analysis suggests that if money continues to be released into the market, as AI investment persists and even occurs through borrowing, prices cannot remain stable.

This short-term price increase is deemed a structural environmental change. As long as AI technological development and investment do not stop, inflationary pressures are predicted to continue.

Therefore, investors should perceive inflation not merely as something to avoid, but as a 'burden' that must continue to be borne, and seek investment strategies that leverage it. Asset allocation and identifying investment opportunities considering inflation will become crucial.

Such inflation is also considered a necessary cost for the explosive growth of the AI industry, and from a long-term perspective, it is seen as a part that must be endured, anticipating the productivity improvements and economic benefits that AI technology will bring.