Happy Birthday @kardebayan 🥰

Airtel India Is Offering Perplexity Pro FREE for 12 Months!

If you're an Airtel Prepaid, Postpaid, or Broadband user, head over to the Airtel Thanks app and check under "Rewards" or "OTT Benefits". There you will find the Perplexity Pro offer that costs 200$ for a year which Airtel is giving it for free.

Note: Before claiming it, make sure that you have a Perplexity account already.

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How Google is planning the next big monopoly with the students of India:

Part 01:

Those who are getting their Google AI plan for free officially by Google make sure to avail that offer in your 3rd account.
You might ask why? Why not my primary google account? "I store all my data in my main account and blah blah".

So here it is, you'll be happily using the 2TB + AI plan for a solid full year but after a year you'll cry hard. Do you know why? Not because you are losing the AI part but the storage part.

Majority of us will store large files in the account, by the end of the year your file usage will easily cross 1.5TB if you store extensive like I do.


After it expires, would you give 1.9k INR/Month for that plan? Would you? Would you? Exactly.

Part: 02

Now here comes the truth about this whole thing -

Google is making sure all the crores of student in India gets to experience the peak AI models but they are also forcing you to buy the AI plan after a year because till that time you will be helpless, Google would have already lured into thinking that Google AI plan is the best thing to ever exist and then when the time comes, BOOM.

WASTED.

Part: 03

Picture it like this: Jio came, they distributed calls and data for absolutely free of cost and now people cannot imagine without JIO. Can you?
Now don't be that guy "I use Airtel", bro Airtel is here because of JIO, if JIO wasn't there then Airtel wouldn't even try to get into the competition.

Same with other "Free things".

First lure the people and later let the people get into luring other people into thinking that "this" and "that" is the best and then after a good time, just backstab them.

Pure Monopoly.

Can't even blame humans because it's human nature and you cannot mess with nature, can you?

:)

First time learning C.

Happy Diwali 🪔❤️

There are a few days left in the new year. How are things going for you lately?

Express the reply by a reaction...

Well, what does the 💯 x 5 mean??

Also, it's gonna be alright for those of you who did the sad/crying emoji. It's gonna come around. Has come for me so I can TELL. It will be alright.

Merry Christmas Guys. Much love❤️

Ladies and Gentlemen, Happy New Year ❤️. Hoping this year brings love, peace and happiness in our life. Cheers 🥂 to whatever situation we have been through and going through. After all it's the same time we all are living but just different events.

Once again, cheers to the new year! 🥂

Give reaction to this post lads.

What's happening with y'all? How's life?

The sudden urge to just burn everything of mine, including me, the person who has built so many connections with people, built projects with guys I thought I could never have in my life, the ideologies. Everything. I wish I could turn off my brain for sometime and just disappear from the face of the people I know. Feels so heavy yet it makes me so vulnerable.

Well, a new year to me.
12th March.
Nothing special for me but so special for the people who are in my life.
I have always wanted to contribute something in the society and I'll do it soon. You'll see something real soon that really matters a lot. An optimization of greater cause.

Big day.

The research paper I've been building towards for the past year just dropped as a preprint with a DOI. Submitted to a Springer journal, currently in peer review.

https://dx.doi.org/10.21203/rs.3.rs-9552341/v1

The project is GlyphMotion — a real-time 4K multi-object tracking pipeline. You feed it video, it tracks every object across every frame, and outputs annotated 4K with audio intact. The interesting engineering is in how it gets there.

Synchronous pipelines can't handle this workload. We built a three-thread async architecture — reader, inference, writer — with bounded queues between them. Jitter went from 337ms down to 27ms on modern hardware, and from 21 seconds down to 46ms on older hardware.

The finding that caught us off guard: raw 4K footage is actually bad for tracking. The sensor noise in uncompressed footage constantly throws off the tracker's identity associations. Compressing at CRF 24 before running inference stabilised it — MOTA jumped from 55 to 85. Compression improving accuracy is not intuitive, but the data is consistent across 159 videos.

The quality loss from compression is recovered through a layer we call HFDR — High-Frequency Detail Reinjection — which adds back the spatial detail that compression strips. Final average VMAF across 159 videos: 96.67.

Built with Sayan Sarkar @sayann70. Supervised by Dr. Kretika Goel, DIT University. We started this right after class 12 boards, before college.

Read the preprint if you're curious. Happy to answer questions.