Been trying to reproduce datashader functionality using only Apache Arrow and Acero as a learning exercise.
This is a 1-billion point Clifford attractor rendered in ~8s from a 9GB parquet file. (No JIT)
I had a great time chatting with @fishnets88 about EVoC -- the interactive tools for @marimo_io did an amazing job at making the speed and cluster layer effects much clearer and easily explorable. It is definitely worth a watch if you have time.
youtube.com/watch?v=ES4PPjK2…
ALT Git diff view.
Before:
# Google Summer of Code 2026
Welcome to M-Lab's Google Summer of Code page! We're excited to have you here and look forward to working with talented contributors from around the world.
After:
# Google Summer of Code 2026
Measurement Lab had to drop out of GSoC. The motivation for this decision is that, due to the massive usage of AI, we have seen a large volume of similar and incremental contributions that our team cannot handle.
@MeganRisdal Is there any forum post I can subscribe to and follow along? I'm guessing I now need to add a metadata file, but not sure how to go about doing that.
ALT Kaggle error message showing a laptop in the middle with the message: "Unable to show preview LINEBREAK We don't have metadata for this file"
Which colormap do you think looks the nicest? I'm leaning toward plasma.
ALT 3 by 3 grid of the same plot in different colormaps. Plot is an edge-bundled connectivity graph. Color maps are, left-to-right and top-to-bottom: viridis, plasma, inferno, magma, cividis, binary, copper, coolwarm, manague.
ALT description from the science magazine website: A shorthair domestic cat gazes upward. Domestic cats are nowadays globally distributed, yet analysis of the DNA from ancient remains in Europe and Anatolia suggests that their dispersal by humans started only around 2000 years ago, during the Roman era, probably from North Africa.
The open AI race is becoming more competitive, and more international.
Check out @Melissahei's excellent coverage of our new study in the @FT!
ft.com/content/931c8218-a9d7…
Who is winning the open AI race?
Our new study "Economies of Open Intelligence" maps 2.2B @huggingface downloads across 851k models (2020→2025).
1) Power is rebalancing (US big tech ↓; China community ↑)
2) Models got big & efficient (MoE, quant, multimodal surge)
3) Intermediaries now matter (adapters/quantizers steer usage)
4) Transparency is slipping
/🧵
Our new paper Economies of Open Intelligence is out and covered by @Melissahei in the @FinancialTimes.
It offers the clearest picture yet of how global power is shifting inside the open AI ecosystem, and what it means for the open-source community.
Really sad to see that @coursera has quietly removed the ability to audit courses. You now have to pay to access course material beyond the first module. I wonder how many instructors are aware of this.
ALT side bar from coursera website. Shows a list a of modules from 1 to 6 with only the first module accessible. The rest have padlocks.
Three different ways to represent colo(u)r. Work in progress, inspired by an old @poetengineer__ post.
ALT Three scatterplots of colorful points.
titles = ['Color Space', 'Text Space', 'Image Space']
subtitles = ['Embeddings of color features', 'Text embedding of color names', 'Image embeddings of color swatches']
ALT table preview of a colors dataset showing a preview of a color, its name, its hex code, and red and green features. colors include Amethyst, Android green, Antique brass and antique bronze.