When @ChatGPTapp tweeted about "Quit yapping", I thought it was a joke. But it's not.

I did some changes to my custom instructions and it really helped.

Without any custom instruction, the response was too long.

I added "Quit Yapping" custom instruction:

And it was instantly short.

But I felt it was bit rude, as I read somewhere that being polite to ChatGPT will produce better results.

So I changed my custom instruction to: Please provide brief, straight-to-the-point responses. I prefer yes/no or short factual answers whenever possible. Avoid lengthy explanations unless specifically requested. Let's keep our interaction concise and efficient.

It was straight to the point, even better than "Quit Yapping".

That's all with this experiment, more coming soon to make you more productive with AI.

Follow me for more productivity hacks using AI. @PraveenInPublic

Do not rely 100% on AI for coding and debugging, it can erode your foundational skills. Just like muscle memory in physical training, coding requires regular practice to stay sharp.

Understand how to balance between AI and solving the problem yourself.

I have been writing a series of posts to help you increase your productivity by 2-3x using AI, also making sure you haven't fallen into AI trap that decreases your cognitive.

Follow me to learn more and don't forget to repost.

buildinpublic

Are You Losing Coding Skills to AI?

Short answer: Yes

AI can increase your productivity by 2-3x easily, but at the same time, it can make you 2-3x slower when it starts to loop and hallucinate.

I have been taking AI into consideration when estimating anything, although it works sometimes, it had made things worse in many places.

The more we start to use AI tool, the more we are forgetting the fact that AI isn't entirely mature yet.

One of the biggest issue that I am facing lately is that, I don't try to write code unless, I am stuck for hours cussing AI to give me the right snippet of code.

Worst part? I even started to copy error logs into copilot and asking it to fix it. So, basically my debugging skills are also at stake right now.

It is not easy to say, I will not use AI anymore until it's mature. Because, you are loosing opportunity to increase your productivity and one day you will be behind everyone else.

I have been working on solutions to these, that can make sure my critical analytical skills are not weakened, and my productivity is also 2-3x increased.

Follow me to read the solutions and using AI responsibly to increase your productivity and learning.

Don't forgot to repost if you are facing similar issues with AI.

If chatgpt is being too verbose, add "quit yapping" in your custom instructions. It will be more specific when it replies.

and it's not rude at all! https://t.co/Strjv5njq4

The first time when I saw this video, I thought it was a joke. But it isn't.

Publicly available data is what all of us collectively share our pictures, videos, and text online.

But is it ethically okay to train their model to use it? https://t.co/ZC42WBNcA1

“Replacement” is a taboo word in the world of AI.

Be careful when you use it.

@ChatGPTapp is lazy, @Google Gemini takes break.

But, I am glad once gemini was back from its break, it resolved the problem quickly.

Seems like @ChatGPTapp should take breaks often, so it can be less lazy by writing 2 lines of code and asking me to write the rest. https://t.co/S06sC8ecAj

AI helps but can't replace us yet. A TL;DR of my original post.

AI excels in precision and repetitive tasks but lacks the complete autonomy of the human mind.

AI assists in decision-making with data-driven insights but is constrained by biases and past data.

Human decision-making incorporates ethical considerations, long-term impacts, and emotional intelligence.

Humans outperform AI in adaptability and creative problem-solving through transfer learning and abstract thinking.

AI cannot be held accountable for decisions; ethical responsibility remains with humans. The complexity of human intelligence and ethical oversight are not yet replicable in AI.

buildinpublic

https://t.co/EZL31RWF8X

Devin can do debugging, perform upwork tasks, and that's 13.86% is a really good start.

But here's why it will not become 100% and it will not replace YOU.

indiehackers #buildinpublic https://t.co/0aKfVur0He

All the hype around AI like Devin isn't all true. AI helps but can't replace us yet. Here's why I think so with data and facts.

I am not entirely against AI replacing a job, I have been working towards the same goal, who doesn't have an imagination of replace their day job with a robots, so they can sit in a beach and enjoy the sunset?

But we need to come back to reality after reading all the hyped sci-fi novels on these AI replacing employees. It's important to go beyond marketing and hype.

AI can surely replace all the repetitive tasks and any menial tasks, it can increase our performance and precision in critical fields, but it's not going to replace YOU if your day job requires you to have intelligence beyond just data. You will still lead and AI will follow. Here's why I said so.

Prevision vs. Autonomy: AI, including robotics in surgery or data analysis tools, excels in precision and repetitive tasks. They can outperform humans in a well-defined tasks. They operate within the scope of the historical data that's available. But human mind is more complex and has more data than what is available online. This is where AIs will fall short of data to be entirely autonomous.

Decision-making and AI: AI will help with decision-making by providing data-driven insights, but they rely heavily on past data and statistical models. They are limited by biases and scope of their algorithms. Humans goes beyond raw data when making a decision. Ethical considerations, long-term implications, and emotional intelligence. AI falls short here.

Adaptability and Learning: AI can adapt to new data to certain extent, but still not equivalent to human learning, humans can apply learning from one context to another easily, by connecting the dots, called transfer learning, and AI struggles there. Humans can think abstractly and creatively, stepping "outside the box", but all the generative AI write now is a just a copy of a copy of a copy of the past data.

Ethics and Responsibility: AI can't be held accountable, and the makers can get away with a small penalty, in any critical fields, it is important that humans are the one who makes the final decisions, so they can be held responsible for any ethical implications.

No we are not there yet until we transfer the data in the corners of our mind into a machine.