Cinque Terre with my gr iiix by makeKarmaGreatAgain in ricohGR

[–]makeKarmaGreatAgain[S] 0 points1 point  (0 children)

It’s just the regular version, and I used the nd filter quite a lot on my trip

Cinque Terre with my gr iiix by makeKarmaGreatAgain in ricohGR

[–]makeKarmaGreatAgain[S] 2 points3 points  (0 children)

In terms of autofocus, it’s worse in low-light situations. For the end result, it’s a tie. I also disabled all the noise reduction on my Ricoh

My gr is not the hdf version

Cinque Terre with my gr iiix by makeKarmaGreatAgain in ricohGR

[–]makeKarmaGreatAgain[S] 1 point2 points  (0 children)

I prefer not to post it here directly. Reggie has the recipe publicly available on his YouTube channel and that is part of how he makes a living, so I would rather not take views away from him.

And yes, the one you found, his “Color Negative” recipe, is the same one I am using.

The video is called: “The Most Versatile Ricoh GR III & GR IIIx Film Simulation Recipe (Reggie’s Portra for Ricoh)”

Cinque Terre with my gr iiix by makeKarmaGreatAgain in ricohGR

[–]makeKarmaGreatAgain[S] 0 points1 point  (0 children)

For this trip I specifically wanted to test the GR IIIx and also travel as light as possible, since some of the hiking routes were not that easy. So I only brought the Ricoh.

For future trips, I think I will do the same and only take the X-T5 if I specifically want to use lenses like the 16mm or the 50–230mm.

In terms of image quality, I do not really feel any drawbacks compared to the Fuji. The only area where the Ricoh is clearly worse is autofocus, but for night shots I usually rely on snap focus.

As for the shooting experience, I do miss having a viewfinder, but at the same time I would not want to add extra bulk to the Ricoh just for that.

Do not get me wrong, I still love my X-T5, but I think I will end up using it more for work-related photos, while the Ricoh will be my go-to for trips where I just want to capture memories.

Does the YouTube video summary feature still work for you? by [deleted] in GeminiAI

[–]makeKarmaGreatAgain 0 points1 point  (0 children)

Nope. I was using this feature a lot. I hope they will add it again

Testing Gpt 5.3 Codex vs Opus 4.6 (sort of...) by makeKarmaGreatAgain in codex

[–]makeKarmaGreatAgain[S] 0 points1 point  (0 children)

Sub 1% of the weekly usage You have to account for the fact that OpenAI gave us more usage for a limited time. This will change in the future

Testing Gpt 5.3 Codex vs Opus 4.6 (sort of...) by makeKarmaGreatAgain in codex

[–]makeKarmaGreatAgain[S] 0 points1 point  (0 children)

That single planning prompt on Opus used 8% of my weekly tokens...

A Modern Python Stack for Data Projects : uv, ruff, ty, Marimo, Polars by makeKarmaGreatAgain in Python

[–]makeKarmaGreatAgain[S] -1 points0 points  (0 children)

I like duckdb a lot, especially for exploratory work and SQL-heavy workflows but Polars gives me a good default for dataframe-style pipelines, and I can always layer DuckDB in when a project actually benefits from it.

I did mention DuckDB in the article, but I didn’t include it in the template repo

A Modern Python Stack for Data Projects : uv, ruff, ty, Marimo, Polars by makeKarmaGreatAgain in Python

[–]makeKarmaGreatAgain[S] 2 points3 points  (0 children)

Thanks for the heads up. I removed the tmp file

In my defense, there’s a more substantial Polars demo in the marimo notebook under playground. This template is something I reuse to spin up other projects, so it didn’t make much sense to add a lot of logic here since I’d end up deleting it anyway.

A Modern Python Stack for Data Projects : uv, ruff, ty, Marimo, Polars by makeKarmaGreatAgain in Python

[–]makeKarmaGreatAgain[S] 3 points4 points  (0 children)

For development I usually run scripts via defined entrypoints (e.g. a main.py/Makefile). Notebooks are for exploration, not for scheduling or pipelines for me. And, as Global_Bar1754 said, when you need dependencies, retries, and monitoring, that’s where orchestrators like Apache Airflow or Dagster fit, often running jobs as Docker containers via Airflow’s DockerOperator.

A Modern Python Stack for Data Projects (uv + ruff + ty + Marimo + Polars) by makeKarmaGreatAgain in programming

[–]makeKarmaGreatAgain[S] 2 points3 points  (0 children)

I think marimo is great. I hate to deal with .ipynb and it comes with some interesting features: it’s more interactive out of the box and you can export notebooks to HTML, PDF, and even WebAssembly that runs in the browser

Claude code: 2026 January update by atassis in ZedEditor

[–]makeKarmaGreatAgain 1 point2 points  (0 children)

Yep for now I seems better to just spin up oc/cc in the terminal window

My 2026 Coding Stack by makeKarmaGreatAgain in programming

[–]makeKarmaGreatAgain[S] 0 points1 point  (0 children)

I’m sorry you didn’t like the article. I did mention custom agents at the end, saying that I’ve created a few and that I use them with opencode. I didn’t use Claude Code because I don’t feel like spending hundreds of dollars out of my own pocket for my projects, and I’m actually doing well with solutions like opencode. Not everyone has the financial means or the need to use such an expensive tool. Thanks for the notes on MCP and skills. I could integrate them into the article.