They are thinking: Please input everything you know, or just use it and it will collect everything in your PC or server automatically.
Stop lazy, stupid and dangerous behaviors.
70 karma · joined July 19, 2022
Blog: devcyc.life
They are thinking: Please input everything you know, or just use it and it will collect everything in your PC or server automatically.
Stop lazy, stupid and dangerous behaviors.
The future looks even bleaker.
It outputs content and the users read the articles. I think the value of the model is not big.
The most important knowledge and experience is from your own practice, thinking, experiment, and reality.
If the price is too high, many users maybe think it is not worthy of the price, especially because there are many free and useful knowledge on Internet.
AI is replacing Crypto on the topic in some sense.
OpenAI wants someone or party to buy it?
It's too late, the sun is being down.
Fixing small errors and keeping going on maybe is a good business strategy.
The last result is probably what you said.
No employee with professional ethics would tell you that (the real internal situation).
You can observe and analyze the reasons from some things.
Use it and tolerate the bad things, or on some time point go to other place (use other tool).
Current AI is like the film company producing TV series or movies
Your question is like a story outline. You tell the film company that this is the movie you want. The AI film company then searches for existing similar stories. If similar stories do not exist or details are missing, screenwriters use imagination to fill in the gaps (remember hallucination? It's just a makeup.)
So you cannot solve hallucination of AI
1. ycombinator supports many AI companies.
2. There are too many marketers from AI companies.
We need to remember that the purpose of using tools is to solve specific problems and achieve goals. Having no tools, too few tools, or too many tools can all hinder the achievement of those goals. We only need to select a few useful, universal, and widely applicable tools. Unless there are necessary and sufficient reasons, we shouldn't easily switch to new tools.
For the tools we choose, one must become truly familiar with and proficient in their use, continuously customize, modify, and improve them, and strive to use them to the fullest extent, thereby significantly improving efficiency and productivity, and solving practical problems and achieving goals faster and better.
No confirmation for the title, rubbish arguments and logic.
> Good engineers have become more valuable because AI lets them move much faster.
Bad prediction. This is likely another AI marketing article.
There are too many texts generated by LLM on Internet now.
The experience of exploring Internet is very bad now.
I agree with you.
They are manipulating public opinion, fooling users.
Just plain text or markdown format, name, description and keywords (tags, unique features: keywords have orders and bound time) for resources, structures like real objects, search and filter by text or keywords,
No inline images or videos (add images in the future), math, diagrams, AI / LLM, or other unnecessary things (my own values for unnecessary things).
I found they are too complicated, bloated, not easy to organize notes, not easy to access across devices, not flexible, no manual sorting, etc.
I like simple, concise, flexible and practical note-taking or bookmark management app. So I have created my own note-taking app Metaessen [1] for 2+ years.
Now I am just using my own app and pure text for bookmarks and notes.
Life is short, no necessary to use too complicated softwares.
Too many marketing persons.
Let them talk to themselves
Only speak advantages of AI, no or a few trivial disadvantages.
Do you import new more bugs?
The main idea of the article is not clear, and the structure of it is not good to read
Don't they know? Why do they continue to develop, promote, and deceive like this?
Sometimes, the truth is not important probably.
But the game is being over very soon.
Giving up reviewing code is not strategy, but because:
Review AI code line by line is like watch movies frame by frame, and is impossible, very difficult, terribly boring, or abandoned sooner or later.
Using LLM encourages data theft or unethical acts.
Too much hype in the process of AI development.
If analyzing the basic theory of LLM or AI (second hand data, data conversion, cognitive bias, etc.), this will make it more persuasive.
The details are important. You shape the details, and the details shape you in turn as well.