Previously, investors focused on financial news. Since Trump’s return, they also needed to pay attention to his Twitter (a private version). The trade war continued to escalate, leading to a sharp decline on April 7th, which was quickly followed by a rebound. This time, though, are people still willing to jump in?

Background Review

On April 7, 2025, following the impact of the U.S. implementation of an “equivalency tariff” policy, global stock markets experienced a “Black Monday.” The A-share market plunged, with the Shanghai Composite Index falling by 7.34% and the Shenzhen Component Index plummeting by 12.5%, with over 4,300 stocks declining by more than 9%. The Hang Seng Index in Hong Kong also fell by 13.22%, along with European and U.S. stock indices exceeding declines of 4%. China subsequently stabilized the market through state-owned enterprise (SOE) purchases and intervention by Huishang Securities.

Recently, I’ve been focusing on reducing fat and shaping my body, primarily through running at the gym to burn calories. I’m also supplementing this with some basic strength training to boost my basal metabolism. I’ve noticed a pattern: muscle soreness always lags behind, and not working out every day doesn’t cause as much pain; it’s really noticeable 48-72 hours after exercise.

My training goals are mainly to return to my ideal weight, so the intensity of strength training isn’t planned to be particularly high. Based on my experience hiking Mount Lu in September, this type of soreness usually takes about three days to fully resolve (when I was younger, I had some experiences with dieting and my physical condition was much better, recovery was much faster). Now that my leg muscles have adapted and recovered, but I feel like the main muscle groups throughout my body still need to be reactivated and adjusted one by one.

The frequency of article releases has noticeably increased with the use of AI, and I intend to differentiate this in the tags within the text as well. The author’s column will also note the names of large models. However, the issue persists: articles generated by AI have significantly reduced my level of involvement, with many articles being forgotten after a month or so. This occurs similarly when writing code – instead of analyzing problems based on existing knowledge, I instinctively turn to AI for analysis and troubleshooting, leading to a clear increase in “laziness.”

Optimizing performance for a hot function involves the bulk of the time spent within internal loops. AI suggested using enumerate and ranges, so I consulted some related documentation.

The main content of the article was generated by AI, and I tested the code and added some supplementary explanations. Online Compiler – testing C++ code inevitably involves our old friend.

On gcc13, traditional for loops were slightly faster than std::views::enumerate, which is negligible in practice.

“As I recall, Xiaomi was able to break through initially thanks to its solid product quality and distinctive cost-performance advantage – in those early years, other brands would often price similar models at four or five thousand yuan, while Xiaomi could keep the price under two thousand yuan. Many people were switching phones at that time, and they chose Xiaomi because of the ‘low-cost entry into high configuration.’”

Current Situation

However, in the past two or three generations of flagship phones, the upgrade momentum has noticeably weakened. Every time I look at new product parameters and features, it’s hard to have a “wow” moment – most are minor adjustments: such as camera algorithm optimization, slight battery life improvements, or simply changing the color scheme. There’s a lack of core changes that leave a lasting impression.

When assembling or upgrading a computer, we often see memory modules labeled with parameters like “DDR5-6000 CL36” and “DDR5-6000 CL30.” The “6000” represents the memory frequency (MHz), while “CL36” and “CL30” are abbreviations for “CAS Latency,” which is commonly referred to as “timings.”

So, what’s the difference between C36, C30, and C28? How do they affect performance when frequencies are the same? And how should you choose? Let’s discuss this topic in detail today.

In July, on a whim, with nothing better to do over the weekend, I decided to clean out the dust from my desktop PC – it hadn’t been cleaned in four or five years, and there was definitely quite a lot of dust accumulated. After cleaning it, I restarted the system, and everything worked perfectly fine. The computer wasn’t turned off regularly; it was left running constantly, with just the monitor switched off. Luckily, my wife came to stay, and she noticed various light sources at night, so she casually turned the computer off.

In an era of information explosion, we all, to varying degrees, live within our own “information bubbles.” Algorithms recommend content that interests us, and over time, our horizons are subtly narrowed. This phenomenon seems equally applicable to the smartphone market – brand loyalty, media bias, and community voices are all weaving consumers into one bubble after another.

However, Xiaomi’s recent move, like a stone thrown into a still lake, has created ripples, attempting to break down this invisible barrier.