Simon @spoltier@qoto.org

https://madeometer.com/

Thanks to the Danes for this nice gem of a website. Also: WTF?! I thought this is European.

#notesArt #mastoArt #art #illustration

Interested in gpt-4.5, don’t want the hefty price and yet wish to test theory of mind reasoning? We got you covered, robustly I might add https://bit.ly/43iwmxo

I received a small grant from the Cosmos Institute to work on an interactive platform for interpretabillity research, focusing on mechanisms that have relevance to both deep learning and cognitive science. As an initial step, variablescope.org will showcase the results of an experiment on variable binding in Transformers led with Yiwei Wu and Atticus Geiger. I'll have more to share soon!

Why does psychology matter for technological innovation? What perspective can we have on science in this moment? What's a research architect?!

I got to explore these questions along with chat about my future research agenda with Redmonk's Kelly Fitzpatrick!

Listen to the full thing here: https://redmonk.com/blog/2025/03/03/psychology-technical-innovation-and-why-we-need-science-with-dr-cat-hicks/

I like using guide dogs as an analogy for how assistive technology users are used to working with unreliable tools!

in that book will be a chapter about how pure "cognition" approaches to education, human learning and human achievement have ALL PRETTY MUCH FAILED TO BE PREDICTIVELY AND INTERVENTION TARGET VALUABLE for the OUTCOMES WE CARE ABOUT and SHOULDN'T SET THE STANDARD FOR WORKPLACES even when we have a population of people who will only accept "human stuff" being said about them if you make it COMPUTATIONAL SOUNDING

Heute werde ich einen Eierlikör-Berliner vertilgen!

Mögt ihr Eierlikör-Berliner?

Es läge mir sehr am Herzen, wenn ihr die Umfrage teilt, für mehr Reichweite. Es ist ein Thema, das uns alle angeht! 🫶🏻

"This project demonstrates how the frequency data from the Great Britain electrical grid contains embedded information about carbon intensity. By using Fast Fourier Transform (FFT) to decompose 1D time series frequency data into its constituent frequencies, we can extract features that allow us to predict carbon intensity with high accuracy."

https://github.com/JamesTwallin/GridSeis

You know a really handy cognitive trick for being less wrong? Training yourself to ask not just "can x lead to y" but "how much of the time does x fail to lead to y"

Seems simple but will save you a world of grief I truly believe

Easy example is with the whole lone wolf programmer thing. "Ok, maybe SOMETIMES lone-wolf-behavior leads to [brilliant output], but how much of the time does it lead to [crap] instead?"

We spoke with Prof. Cindy Harnett about new and different sensors and actuators, primarily designed for soft robotics and fabricated with relatively low cost materials.
Join us here: https://embedded.fm/episodes/495

Here's an excerpt from the show:

#softrobotics #robotics #sensors #prof #engineering #embedded #electronics #electrical