Yesterday after watching the match, the feeling of “unsettledness” lingered in my heart for a long time. I happened to see a netizen’s words and felt a deep connection – he started his engagement with this sport from elementary school, while I only began to get involved in university.
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.
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.
Everyone has their own life trajectory, so the concept of “being a good teacher” often seems superfluous in adult circles.
Our life’s journey begins with vastly different formative experiences, these experiences converging and flowing like rivers to ultimately shape our unique life paths. Each story, each choice, weaves together and merges within our minds, solidifying into our perception of the world – our worldview.
What you’ve witnessed as tragedy may be merely a story in a book to another person. What you disdain as a lifestyle may be precisely the ideal someone else desperately pursues.
Using AI too much, we start thinking of AI for everything – often, learning new developments is more reliable with search engines plus official project documentation.
Hong Kong stocks entered on the dip, encountered a pullback, and then just randomly traded, resulting in basic losses.
Not necessarily to actually practice and make money, but rather to improve my own abilities through learning. I don’t believe in these trading indicators; I mostly trust the national fortune (luck) and investing in broad market indices via a buy-and-hold strategy.
AI has been integrated into daily development workflows, and recent investments have shifted focus from external funds to internal stocks and ETFs.
Last week, I was bored and tried to obtain GitHub badges, starting to use the Issue module. Previously, when writing code, I always wanted to find a place to record the content of each AI modification, but creating a separate document to record it felt disorganized. Now that we have the Issue module, tagging them to distinguish between bugs, features, enhancements, etc., has made the records clear and efficient. Even if I might not need them in the future, recording them is still a form of accumulation. View Issue List
Lightstone debuted today, and a former roommate from university has been working inside for many years, leading the hardware development of a particular product.
Regarding expertise, Lightstone’s core business is sports cameras, which is most closely related to his undergraduate major: Automation. Automation is a broad field; during his sophomore year, it was divided into smaller specializations. Regarding his former roommate, there were two groups – the first group were freshman roommates, and the second group were sophomore roommates, who were re-assigned when the majors were split up. Our specialization covers embedded systems, engineering automation control, and circuit design—basically a very diverse range.