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Wright

Wright

Learning the magic of happiness. Personal website: dreamerlzl.xyz
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2023 Study Summary

#学习#自省#reflect277
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The author reflects on their low learning efficiency and lack of focus and discipline. They express confusion about their future life, including settling in a city, managing relationships with family, and planning their career. They plan to find a career that allows them to explore different lifestyles, discuss their concerns with family, seek career planning advice, and use time management software. The author also discusses their newfound interest in fashion and learning about clothing styles and materials. They emphasize the importance of good work-life balance and the need for trustless systems in the workplace. They highlight the significance of design review and the role of a good product manager in R&D. The author explores the potential of Web3 and its ability to address issues like content moderation, data ownership, and rewards for creators. They acknowledge the challenges and misconceptions surrounding Web3. The author also discusses their interest in podcasts and recommends various podcast subscriptions. They share their use of Chatgpt for tasks like machine translation, proofreading, data extraction, business plan writing, learning new skills, and coding assistance.

Overview#

  • The learning efficiency this year is not very high. I am not focused enough and lack self-discipline. I am always distracted/restless/unable to concentrate.
    • Confusion about my future life: which city to settle in, how to handle relationships with family, future career planning.
    • Other topics of concern: how to better manage social interactions, how to improve learning efficiency.
  • Next steps
    • Find a career that allows me to explore different lifestyles.
    • Write down specific concerns about my family, think of solutions, and talk directly to them.
    • Try career planning consultations.
    • Use time management software TickTick to track my time.

Dress#

  • I used to not pay much attention to dressing, but I hurriedly caught up at the end of this year! Learning how to dress is also about finding joy and understanding others' tastes in daily life.
  • The main sources of reference are Male Fashion Advice on Reddit and fashion influencers I have collected on Bilibili.
  • Insights
    • Now I look at clothes in the following order: style, fabric, and how they match my existing clothes.
    • From the perspective of fabric, the cost-effectiveness of many popular domestic and foreign brands/chain stores is not very high. Knowing some basics about fabric and the prices of leading products in the industry is useful for evaluating the price of clothes.
      • For example, Bosideng, Canada Goose, Lululemon, Uniqlo, which focus on using certain materials.

Career#

  • Work-Life-Balance without a good system is short-lived; the system here must be trustless, without the need to trust or rely on your +1 +2.
  • Junior learns to manage up, laying the groundwork for becoming a senior and managing juniors in the future.
  • Design review >> code review; reaching consensus is more important than how to achieve it (analogous to crypto protocol).
  • R&D must have a good product manager; no human errors, only bad products (from "Design of everyday things"). Engineers who underestimate product experience design are not good engineers.
  • What not to do in code review?
    • E2E test case -> should be done in design review.
    • Any nitpick like code style -> should be enforced by automatic tools in CI/CD.
  • What to do in code review?
    • Maintainability
      • Module tree & information hiding & comments.
      • Integration & unit tests & code not covered by tests.
    • Observability
      • Logging levels, traces, metrics -> are they actionable ???
    • Results of benchmark/stress/performance tests, if any.
    • Satisfying & acceptable >> perfectionism.

Web3#

  • Many people say it's a scam/buzzword.
  • But based on my learning and understanding so far this year, I feel that it is meaningful, although the entire industry is still in its infancy.
  • Pain points of web2 and what web3 might solve
    • Content moderation: Once content is on the chain, there will always be a way to see the original content, which cannot be deleted or tampered with.
    • Data ownership: Easier platform/ecosystem migration, data won't be completely lost if an account is banned on a web2 platform. At the same time, data privacy can be improved, and user profiles that do not require KYC can be naturally anonymized.
    • Reward for creators/tokenomics: In general, the distribution of benefits in web3 products is more inclined towards content creators, which motivates good content creators to interact in the web3 ecosystem.
  • Apart from the technical difficulties, there are still the following challenges
    • Currently, most web3 users are more interested in speculative value rather than the actual utility value of the products. Gaming and DeFi are the hottest in web3 for this reason.
      • Many users don't understand anything and only care about making money. When Binance and FTX have problems, the public perception is to be cautious with crypto/web3, without realizing that these two are fundamentally centralized and have nothing to do with web3/blockchain.
      • On the other hand, web3 social development, which values real users rather than speculative users, is not going well. However, social/crowd-sourced products are actually very suitable for decentralization.
    • Financing
      • Some teams have the mentality of making a quick profit and then running away.
      • AI currently attracts the attention of major investors, and web3 seems to struggle to attract funding without integrating AI.
    • Web3 based on blockchain itself requires a certain level of user understanding.
    • Government regulation issues.

Podcast#

Why#

  • To protect my eyes and obtain information without using my eyes.
  • To make better use of my time during walks and commutes.
  • The main distribution method of information flow today is recommendation algorithms, but they have the following problems:
    • Echo Chamber: If used well, it can quickly find people with the same mindset. However, if not controlled properly, it can lead to a narrow understanding of the thoughts of other psychological groups, preventing a comprehensive understanding of issues and phenomena.
    • Web2: Platforms with recommendation algorithms, such as Xiaohongshu and Douyin, primarily monetize through advertisements. The recommended information contains a lot of unwanted content.
    • Fragmented content: Many things have not been processed and refined through thinking. Podcasts provide more in-depth discussions and ideas.

Subscriptions#

  • Silicon Valley 101
    • Format: The host interviews industry leaders on specific topics.
    • Although mainly targeted at Silicon Valley investors, I highly recommend it. The discussions are both deep and broad, and the host has insights that are helpful for understanding future trends in the world.
    • Interestingly, I have received recommendations for this podcast from different channels around me.
  • Web3 101
    • It is a subprogram of Silicon Valley 101 with the same format, focusing on crypto/web3-related topics. It is full of practical knowledge and can be rewarding for beginners.
  • Zonghengsihai (Across the Four Seas)
    • The host shares thoughts and opinions after reading a book. Each episode is packed with information and is quite long, suitable for serious listening and learning. I personally highly recommend it.
  • Planet Money: Understand the money and the world
    • Each episode is a discussion on a different economic topic by different hosts, covering the world. The episodes are relatively short, providing both insights and relaxation.
  • Others also recommended
    • Zero to One: Interviews with founders from various industries.
    • Questioning Youth
    • Huzuo Huzuo (忽左忽右)

RSS this year (generated by Chatgpt from my opml)#

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