In fact, China has a complete surplus of productive capacity because of its large population. Every path that can lead to remuneration by meeting demand is crowded with people.
Recent algorithm updates from Google have once again clarified what kind of web pages will rank at the top: those that are "useful to users"
Whether it’s content or tools, as long as they are beneficial to users and the time spent on your page per click is above a certain threshold (while avoiding fraudulent practices), your page will rank higher in search results. In this era where generative AI is becoming increasingly dominant, valuable content seems to be even more precious, and people are getting better at discerning content quality.
A webpage that covers many keywords but has low-quality content will eventually be pushed down in search results due to its lack of usefulness to users. Additionally, backlinks are akin to endorsements for a website, but no matter how many backlinks a low-quality site has, users won’t want to spend much time on it. These are just my personal thoughts, and I welcome any criticism or feedback.
It’s worth clarifying: LLM is a game of probability, and artificial intelligence is a big topic of discussion.
First, we need to figure out what the teacher should teach, and then figure out what content the students have already mastered.
Of course, I also got this feature this morning. Just like it's described, I start my description with "Please remember:". chatgpt will remember everything I have told it. When you usually use chatgpt, you can conduct some discussions based on memory. I haven't used the Customize ChatGPT before. I think the "memory" is somewhat similar to the previous custom prompts.
There is currently no “perfect” recommendation system on the market.
hn's algorithm can discover "useful" information with a high probability.
No one can define what you consider useful information but yourself.
Similarly, for content that has received a lot of attention in the past, there is no fixed standard to evaluate whether the content deserves attention again. In my opinion, hn prefers users to contribute valuable information rather than presenting all valuable information to users.
sdk.vercel.ai is also a nice playground where multiple models can be used for interaction at the same time. Regarding this application scenario, is it used to compare the quality of model responses? Although there are many large model evaluation organizations now, for ordinary users, common standards often fail to guide the correct choice, after all, everyone's use case is different.