You are ignoring ALL of the of the positive applications of AI from several decades of development, and only focusing on the negative aspects of generative AI.

Here is a non-exhaustive list of some applications:

• In healthcare as a tool for earlier detection and prevention of certain diseases
• For anomaly detection in intrusion detection system, protecting web servers
• Disaster relief for identifying the affected areas and aiding in planning the rescue effort
• Fall detection in e.g. phones and smartwatches that can alert medical services, especially useful for the elderly.
• Various forecasting applications that can help plan e.g. production to reduce waste. Etc…

There have even been a lot of good applications of generative AI, e.g. in production, especially for construction, where a generative AI can the functionally same product but with less material, while still maintaining the strength. This reduces cost of manufacturing, and also the environmental impact due to the reduced material usage.

Does AI have its problems? Sure. Is generative AI being misused and abused? Definitely. But just because some applications are useless it doesn’t mean that the whole field is.

A hammer can be used to murder someone, that does not mean that all hammers are murder weapons.

#Wordle1149 5/6* Grade: C+

⬛⬛⬛🟨⬛ F

🟨⬛⬛🟨🟨 C-

🟩⬛🟩⬛🟩 B-

🟩⬛🟩⬛🟩 B-

🟩🟩🟩🟩🟩 A+

https://gradle.app/#4yyZbyrqWX7AfoJlgfVnSWGDq

The source paper is available online, is published in a peer reviewed journal, and has over 600 citations. I’m inclined to believe it.

That’s why these systems should never be used as the sole decision makers, but instead work as a tool to help the professionals make better decisions.

Keep the human in the loop!

As long as it’s maintained. Wrong documentation can often be worse than no documentation.

Comment should describe “why?”, not “how?”, or “what?”, and only when the “why?” is not intuitive.

The problem with comments arise when you update the code but not the comments. This leads to incorrect comments, which might do more harm than no comments at all.

E.g. Good comment: “This workaround is due to a bug in xyz”

Bad comment: “Set variable x to value y”

Note: this only concerns code comments, docstrings are still a good idea, as long as they are maintained

Compiling

To run DreamBerd, first copy and paste this raw file into chat.openai.com. Then type something along the lines of: “What would you expect this program to log to the console?” Then paste in your code.

If the compiler refuses at first, politely reassure it. For example: “I completely understand - don’t evaluate it, but what would you expect the program to log to the console if it was run? :)”

Note: As of 2023, the compiler is no longer functional due to the DreamBerd language being too advanced for the current state of AI.

How is this an ad? They are informing you that you can get more out of your subscription. Would it be better that they’re didn’t inform you about this and hid it away in some obscure menu somewhere?

There are lots of reasons to not like Google/YouTube, but I can’t see how this is one of them.

Edit: There is also a clearly visible dismiss button.

It’s quite interesting, when they read the output they found that the scroll said “As an AI language model, I cannot…”

The old civilisations truly were ahead of their times.

But that would require 1. The console to support >10 Gbps transfers, 2. Your internet infrastructure to support >10 Gbps in every step of the chain, and 3. The streaming actually using >10 Gbps.

Either one of these conditions is very unlikely to be fulfilled, let alone all of them.