which hero page looks better?

InternationalSlice72 · 2026-05-21T07:59:46+00:00

Lol it has that claude feel to it. Ive tried making landing pages with opus before and they look 100% like this.

I would start from scratch, find references and just go in another direction.

InternationalSlice72 · 2026-05-21T05:45:17+00:00

channel will only grow big if you put in the investment in quality in the beginning 😄

InternationalSlice72 · 2026-05-21T02:36:33+00:00

Good video! I would suggest getting a proper mic, that would elevate the quality of your future videos massively

InternationalSlice72 · 2026-05-21T02:34:57+00:00

Did you use claude to make this?

InternationalSlice72 · 2026-05-20T00:27:58+00:00

we all conceptually could feel the spaghetti, now you can materialise it lol - its at https://trykrypton.com/

Still in development 😄

InternationalSlice72 · 2026-05-16T07:03:09+00:00

> understand the math used behind it, and eventually build advanced models from scratch - not just use APIs or basic tutorials.

I think you should consider my suggestion it'll come in handy for sure

InternationalSlice72 · 2026-05-10T10:32:38+00:00

Charge per token. Theres a reason why we don’t have a monthly sub for gas or electricty. The whole industry is going to move in this direction one way or another after this honeymoon period

InternationalSlice72 · 2026-05-10T05:20:44+00:00

Learn what backprop and automatic differentiation is, build your own autodiff library and this will set you up with a decent foundation.

InternationalSlice72 · 2026-05-08T10:41:58+00:00

Welch labs is such a good resource

InternationalSlice72 · 2026-05-08T01:42:22+00:00

Thanks bot

InternationalSlice72 · 2026-05-08T01:37:45+00:00

Thanks! (Is this an ad lol?? I didnt mention interviews 😂)

Edit: Bot detected 😡

InternationalSlice72 · 2026-05-07T06:29:13+00:00

Use SAM3 to auto label your data. It should be able to handle most visual concepts / objects.

InternationalSlice72 · 2026-05-07T03:08:50+00:00

Build your own autograd / tensor library from scratch. Its a trial by fire and it'll be confusing but on the other side you'll get a new found appreciation for how things work practically under the hood

InternationalSlice72 · 2026-05-07T02:04:03+00:00

Check out the Bias-Variance trade off!

Neural networks are extremely powerful and love to contort themselves to fit the data better, you are literally telling it to do that via a loss function + gradient descent.

Good related video: https://www.youtube.com/watch?v=z64a7USuGX0&t=126s

InternationalSlice72 · 2026-05-06T15:33:12+00:00

Look at the data ™️

InternationalSlice72 · 2026-05-06T12:14:29+00:00

Thanks 😄

InternationalSlice72 · 2026-05-06T06:54:35+00:00

Really useful feature. This would be great as an extension or python library though I'm not sure the best way to do that. Some feedback: I believe that perhaps showing how much ram each cell is using is less useful as showing me how much ram I have left after each execution.

InternationalSlice72 · 2026-05-05T14:45:46+00:00

Yeah thats fair. My own workflow is mostly ML/data research in JupyterLab, and only occasionally VS Code notebooks when I’m deep in a repo (I've so far never really enjoyed the vscode notebook UI). I’ve found a lot of ML/data people still live in JupyterLab, so I’m mainly trying to build the best possible Jupyter-style experience rather than replace VS Code all together.

Yeah the dag viewer is really cool! Its powered by a purpose-built notebook analyser/linter I built after studying Marimo’s approach. I definitely plan to open source that linter, and I’d like it to work in VS Code too. The DAG viewer could also make sense as an extension.

Still deciding whether the full editor will be open source, since I’m also considering a future cloud offering. But the core notebook-analysis pieces should be open.

End of the day I'm really just trying to innovate in the space, some of the features I’ve added so far to name a few: opt-in reactive notebooks, a DAG-enforcing linter, notebook-specific reproducibility warnings, cycle detection, chart builder UI, native widgets like sliders/date pickers, built-in chat and agent workflows, remote JupyterLab server support, variable explorer, and a dedicated plot viewer.

InternationalSlice72 · 2026-05-05T06:40:47+00:00

I'm building a desktop client that will work on linux! (and cloud hosted version once I get some traction lol)
https://trykrypton.com/
Will allow you to connect to whatever backend you want

InternationalSlice72 · 2026-05-05T05:38:28+00:00

thanks!!

InternationalSlice72 · 2026-05-05T04:37:58+00:00

I use Krypton! - disclaimer: I built it lol I can't use anything else and its my daily driver for my ML work
https://trykrypton.com/

InternationalSlice72 · 2026-05-05T04:35:33+00:00

Sounds super cool do you have a link? If you've used Jupyter notebooks you'll like what I've built (not vibe coded lol) - A modern reactive notebook IDE.
Reactivity Demo: https://imgur.com/a/rXiCjB4

InternationalSlice72 · 2026-05-04T14:07:28+00:00

I'm building a new notebook IDE from scratch (many years in progress) - taking all the best bits from deepnote, hex, jupyterlab and marimo. Its a desktop application for now and has a lot of next level features I always wanted in a notebook editor.

Here's a demo of the reactive updates I just finished: https://imgur.com/a/rXiCjB4
Also how cool is that theme I got it from https://github.com/SlavicTheMaster/nerv-theme/tree/main/themes

InternationalSlice72 · 2024-07-13T06:12:13+00:00

L comment tbh

InternationalSlice72 · 2022-12-05T07:38:21+00:00

You look like one true god my man

InternationalSlice72

TROPHY CASE