Really enjoyed talking to you guys Kashif Raza , Pranav Maheshwari ! Will look forward to more discussions in the future! :)

SOLID Design Principles Part 1: S - Single Responsibility Principle Every class should have only one reason to change. This means a class should focus on doing one thing and doing it well. By keeping responsibilities separate, you reduce coupling, make your code easier to

Looking forward to some of them!

What centralisation of power can do

"No matter how much trouble you have in your life, you can always find something to do and excel at. Never give up." Happy Birthday Prof. Hawking

🚀 In my latest tutorial, I show you how to do ERC20 token transfers without paying gas—thanks to the MegaFuel Paymaster on BNB Chain! ⚡ 🎥 Watch here: youtube.com/watch?v=iiBXU2… This aligns with the bigger picture of Account Abstraction, set to revolutionize the Web3 experience!

DeepSeek shipping faster than one can order

🚀 Want a hands-on understanding of DeepSeek R1 Zero’s training process? In my latest video, I break it down with a Toy Training code and dive deep into the key GRPO model. Check it out here: 🔗 youtu.be/hRSzhn_lDd8

Who needs robots anyway?

Introducing GPT-6.0 Only $1 Million/Million tokens.

AI models and coding tools are great but they’re most useful to real human coders who know what they are doing.

Accurate

In the Deep Research feature of ChatGPT, is it hardcoded that it goes on trying to find a solution as soon as it receives a response to a clarifying question? Because in my case the conversation was supposed to carry on a bit more before it was ready to do the actual deep

Agree. First let those agents publish a PhD level original research and defend it infront of human professors, and then they can be termed PhD-level.

True

What was your first saas/software sale and how did you make it happen?

Please learn git before you jump into the world of programming using AI Here's a quick tutorial on it: youtu.be/epz5lQzIQlg?si…

+ vibe deploying and maintaining

LLMs in AI need updates as new data arrives: that's called fine-tuning. But full fine-tuning can be expensive. A cheaper method is LoRA: Think of it like hiring smart interns who get trained on the new knowledge. Your star coder (the base model) doesn't need to know everything