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We simplify boring explanations of Tech and Generative AI.

11/05/2025

What is AI - Simply Explained

07/05/2025

Just dropped this completely AI-generated Bangla music video! Here's exactly how I made it from scratch:

🎤 STEP 1: LYRICS
Used ChatGPT-4 to write the Bangla lyrics (Claude or Deepseek work great too). AI language models have really improved with Bangla!
🎼 STEP 2: MUSIC PRODUCTION
Created the entire song using Suno AI - just pasted the lyrics and described the musical style I wanted in the prompt. No traditional production needed!
🖼️ STEP 3: VISUALS

First created Studio Ghibli-style character images of the couple using ChatGPT
Then generated different scenes with these characters in various scenarios

🎬 STEP 4: ANIMATION
Transformed all the static images into flowing videos using Kling AI (Runway is another great option for this)
🎞️ STEP 5: FINAL EDIT
Put everything together in Final Cut Pro to sync the visuals with the music track
The result? A complete music video with zero human-created assets - from lyrics to melody to visuals, it's 100% AI-generated!
Want to learn more AI creative workflows like this? Follow for more step-by-step tutorials! 👇

13/04/2025

LLM কিভাবে কম্পলেক্স কাজ গুলো করে?

Full video link in comment.

06/04/2025

This is why we need more of open source and uncensored models.

28/03/2025

Even in a Comic world, Mirza Fakhrul is still chasing elections—dedication or delusion?

27/03/2025

While everyone’s caught up in ChatGPT’s Ghibli-style art, not enough people are talking about how insanely good it is at generating comic sketches. Quick punchlines, clean visuals, and perfectly timed sarcasm — it's like having your own personal cartoonist on demand.

19/03/2025

Google has released Gemma 3, a new suite of open-source AI models. These models are built on the same technology as Gemini 2.0 and are designed to be efficient and accessible.
Gemma 3 is available in different sizes (1B, 4B, 12B, and 27B parameters) to suit various hardware needs, from mobile devices to powerful workstations. The models support multiple types of data, including text, images, and short videos (excluding the 1B model).
The models are pre-trained in over 140 languages, with native support for over 35 languages, enabling global application development.
Gemma 3 provides performance comparable to larger models, specifically in tasks requiring reasoning and problem-solving. It is designed to run on single GPUs or TPUs, reducing reliance on cloud resources.
The models offer an extended context window of up to 128k tokens and support function calling for task automation.
Google also introduced ShieldGemma 2, a 4B model for image safety, which categorizes images based on safety levels.
Gemma 3 is available on platforms like Hugging Face and integrates with tools such as Llama and Google’s AI Studio. It can be deployed on Vertex AI, Cloud Run, the Google GenAI API, or locally.

28/02/2025

কেমন হবে ২০৩০ সালের পডকাস্ট? AI কি Human পডকাস্ট ব্যান করে দিবে?

20/01/2025

Created an AI-generated short film for our client Voice For Voiceless24, remembering the sacrifices of July 2024 in Bangladesh

19/01/2025

A lot of students are now thinking: "The way AI is progressing, should I invest time in learning programming? because I think AI will eventually take software engineering’s jobs."
Well, I think you shouldn't just wait and watch what's happening. Rather take part in the change. If you have a strong foundation, you can connect the dots more easily and build great things on top of it.

A big part of software engineering is problem-solving. Even if coding is completely taken over by AI, problem-solving will always be essential unless we live in a utopian world without any problems.
One more thing, currently, we often introduce ourselves as React Developers or Python Developers, but I believe that's going to change. Instead, every software engineer will participate in end-to-end software production. Software engineers will become more like technical orchestrators who know how to combine different AI services to build unique solutions.

This means you might need to go deeper into specialized domains and become adept at leveraging AI tools. The key is to keep learning continuously.

Also, I don't think there's ever been a better time than now for learning programming. You have more than enough resources and community support on the internet, plus AI tools to answer your unique questions with examples as you wish.

Of course, there's a possibility that software will become a commodity, and software founders will face an existential crisis due to competition. However, in that case, we might see a rise in hyper-customized solutions, which will democratize innovation.

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