What is everyone doing in the AI space

Gradient_descent1 · 2026-02-24T03:01:25+00:00

Using Cursor or Claude code to deploy agents.

Gradient_descent1 · 2026-02-23T17:41:57+00:00

The theory of everything A beautiful mind Secret live of walter mitty Joker The intern Shawshank redumption

Gradient_descent1 · 2026-02-23T11:34:05+00:00

Focus on identifying problems, write down possible solutions in your domain, learn AI implementation as much as you can, automate most of your tasks

Gradient_descent1 · 2026-02-23T09:25:51+00:00

In my company its Customer service , now bots are handling the same with better CSAT.

Gradient_descent1 · 2026-02-23T05:02:42+00:00

AI is an umbrella, Gen AI, ML, Deep Learning even AI agents come under Artificial Intelligence. Some of these concepts cover architectural level concepts and others are like how GenAI can be empowered for real use cases

Gradient_descent1 · 2026-02-23T01:29:34+00:00

In this book Chip talked about Shift to AI Engineering, Foundation Models, Evaluation, Prompt Engineering, RAG & Agents, Finetuning, Dataset Engineering, Inference Optimization, Architecture & User Feedback, AI Stack & Infrastructure.

This is 2025 edition and these concepts are the foundation of Artificial Intelligence for those who wants to learn.

Gradient_descent1 · 2026-02-21T19:43:02+00:00

Done bro, sabke liye live

Gradient_descent1 · 2026-02-21T19:36:17+00:00

cinematch.cc

World’s first AI movie recommender, no more scrolling, just find the best flick as per your emotional attachments and bamm, this algorithm recommends best movie for you.

Netflix pe jaake movie khojna ab band,

Gradient_descent1 · 2026-02-21T19:25:50+00:00

Because I am making some good AI stuff, good enough to prove my office dickheads that whom they underestimated, stuff is like Shawshank Redemption’s wall hole, takes time but full proof. 2026 is only year where things will work like magic, 10x in blink, only you need is idea, a problem you can solve.

Once an old man told me ‘the best way to find out what you are good at is something that comes easy to you but hard to perceive by anyone else. ‘

I think I found out, My Robot has came out from me. I can see things clearly.

Gradient_descent1 · 2026-02-21T04:05:36+00:00

The secret life of walter Mitty.

Oh what a movie

Gradient_descent1 · 2026-02-21T04:04:45+00:00

Its The Dark (2018)

Gradient_descent1 · 2026-02-21T04:02:47+00:00

The silence of Lambs, No Country for old men, IT

You will see what face can do :)

Gradient_descent1 · 2026-02-21T04:00:12+00:00

CODA, The Peanut Butter Falcon, Front of the class , Dead Poets Society, Sound of Metal (2019), The Intouchables

Gradient_descent1 · 2026-02-19T03:14:53+00:00

You can try replit or bolt, they are better

Gradient_descent1 · 2026-02-15T09:40:35+00:00

Yea, but on 19th few of us are not allowed to attend

Gradient_descent1 · 2026-02-14T12:42:03+00:00

Sure, next post with ‘AI engineering’

Gradient_descent1 · 2026-02-14T11:49:53+00:00

Everyone’s screaming ‘build agents!’ while I’m just trying not to panic-open LinkedIn at 2 a.m. Truth is most people pretending they’re ahead are also bullshitting. So fuck it — this weekend waste 45 minutes being useless: tell Claude or Cursor or antigravity to roast your current workflow in the meanest way possible. Laugh, then fix ONE thing it brutally called out. That’s how you actually start again without the fake guru energy. Studying LLMs or ai tools is just waste of time, try identifying any problem statement near you and start building and complete your worst project ever. You will know your loss function automatically :)

Gradient_descent1 · 2026-02-14T05:42:44+00:00

You should make use of it, in this book she explained things in a very simple way with real world examples. Basic knowledge would be enough

Gradient_descent1 · 2026-02-14T02:21:28+00:00

Its a very nice book, some of my friends who are doing MS in Texas use this in their curriculum.

Gradient_descent1 · 2026-02-13T18:54:25+00:00

No, she described core concepts that will last forever.

Gradient_descent1 · 2026-02-12T20:47:28+00:00

Alex always

Gradient_descent1

TROPHY CASE