This note preserves the original context of the Facebook post. Some tools, interfaces, and external links may have changed.
When AI exploded a few years ago, I was quite anxious.
I worry about whether my profession will become useless, and I’ve been thinking about how the way humans find information will change.
I even took a plumbing course to prepare myself for a new path, but ended up breaking the faucet at home first.
Looking back, the most correct thing I did during that period was to keep in touch with Yuan Kui.
He would take the initiative to send various news, tools and articles, but I was actually very negative at first, thinking that these things would no longer be important after the arrival of AGI.
Until a certain moment, I gradually found that I could not understand the content he transmitted more and more, but at the same time, I could also feel his joy when he opened up concepts or automated a bunch of manual steps.
That got me started trying to embrace AI, which has led me all the way to where I am now.
I’m still leaning toward AI doomsday.
Often after completing something and celebrating for a few seconds with both hands clenched, the voice of “It’s nothing” will immediately come out in my head.
The difference is that now I feel more at ease and I at least understand how to do something before judging its value.
This process also gave me a better understanding of the current value of human beings.
Related reading
SEO e-Newsletter Issue 55 – 2022.04.16~2022.04.30
Happy Labor Day to everyone! There is nothing particularly novel in this issue, and several of them are related to AI-produced content. Although long-term readers of Digital Engine may find it repetitive, I hope you can take some time to read the sixth article about content SEO. It is suitable for reflection on what you are doing and the irreplaceability of these jobs in the next 3 to 5 years. Enjoy!
SEO Newsletter Issues 70–71 – 2022.12.01–2022.12.31
Happy New Year, everyone! December brought more Google Search changes and announcements than I expected. With ChatGPT taking off, more people also realized that AI is not as far from maturity as we may have thought. The final two items—one exploring AI applications in SEO and another surveying what content marketers think about AI—are both fascinating.
uses Style Transfer, Few-Shot and LoRA for product description
A community post recording e-commerce product description experiments, from prompt words, example learning to LoRA fine-tuning, sorting out the cost and control of different methods.
GPT Getting Started in SEO: An Early Application Checklist
organizes SEO use cases in the early days of ChatGPT’s popularization, from prompt words, technical SEO, content analysis to cross-language reading, retaining observations from the time when the tool ecology was just beginning to change.
From search engine to RAG: Re-understanding information retrieval
From the early frustrations of researching search engines, to using RAG to reconnect with file splitting, query rewriting and reordering, this is a personal record that connects AI learning back to information retrieval.