@protosphinx cool to know that what I meant was people care more about content creators than innovators ... USA has a culture of making innovators as celebrities but not us
Taking on a challenge: build one serious production-level project that actually breaks me.
Stack: Python + FastAPI + Postgres + React/TS + AI integration.
I know the pieces okayishly and want to learn by shipping something real, not another tutorial app.
What production level project would you build with this stack if the goal was maximum learning and real-world depth?
#BuildInPublic
Taking on a challenge: build one serious production-level project that actually breaks me.
Stack: Python + FastAPI + Postgres + React/TS + AI integration.
I know the pieces okayishly and want to learn by shipping something real, not another tutorial app.
What production level project would you build with this stack if the goal was maximum learning and real-world depth?
#BuildInPublic
Taking on a challenge: build one serious production-level project that actually breaks me.
Stack: Python + FastAPI + Postgres + React/TS + AI integration.
I know the pieces okayishly and want to learn by shipping something real, not another tutorial app.
What production level project would you build with this stack if the goal was maximum learning and real-world depth?
#BuildInPublic
there was a time we use to own physical stuff movie CDs, music cassettes, video game books and all
And now everything is subscription based where we own nothing and pay for using it regularly idk it's good to have flexibility and ease of access but nothing is owned forever now
If I had 3 months to prepare for a job in 2026, here's exactly what I'd do.
Not the 2022 playbook. Not just grind LeetCode.
The game changed now and if I wanted to crack interviews at Google, Microsoft, Meta, Amazon etc.
Here's how I'd actually prepare 👇
> 50 gms moong dal soaked at night
> 45 gms soya chunks
> 30 gms rice
> Some veggies if u like
> 100 gms paneer
> Turmeric , salt and pepper
> 1 glass water
> Add all that In a cooker
> Cook it for 6 whistles
Boom 60 gms High protein lunch easily
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Ben Affleck reveals he writes Python, understands convolutional neural networks, worked extensively with GPUs, and used his celebrity status to get private looks at Google and OpenAI’s video models
“I’ve always been kind of into computers since I was young. Then, when film started to move from analog film to digital, I became more interested in that aspect of it. The visual-effects workflow for many years has included machine learning, so I can write pretty shitty Python scripts and stuff like that.
“With convolutional neural networks, which were the precursors to what the transformer can do, which is much more computation simultaneously, you would do things like look at what’s called a tensor. That’s the numerical translation of a visual image in numbers, like the batch number, the frame number and the red, green and blue values of each pixel in each frame. It’s just that simple. That numeric is called a tensor.
“You’d use a convolutional neural network to identify patterns that reveal what’s called edge detection or feature extraction, which is identifying patterns well enough to know, this is where the window ledge is, so we can more easily take the green-screen image out and replace it with something.
“That was familiar to me early on because, prior to Artists Equity, I had a small visual-effects company. I’ve worked with GPUs a lot too. The visual-effects guys said, ‘Hey, you should see. There are a couple: Google and this other company, OpenAI, are doing really interesting stuff with transformers in video.’
“I’ve learned that I can actually just call up and go, ‘Hey, it’s Ben Affleck. Can I come see what you’re doing?’ Sometimes people say yes, to my astonishment.”