Matthew Davis retweeted
88 years after Klee's The Sunken Island writer Maurice Pons wrote a book about it. His starting idea was that paintings look back at us. What followed was a dreamlike journey between reality & fantasy, in search of an unimaginable paradise.
With color studies.
Matthew Davis retweeted
a=(m,d=mag(k=9*cos(i*5)*sin(i),e=cos(i*4)*sin(i*3)*9)**3/999+1.2-sin(t/2+m)**3/4)=>point(99*sin(c=d/9-t/48+m)+k*(p=d**sin(d*d-t+m))+200,99*sin(c*4)+e*p+200)
t=0,draw=$=>{t||createCanvas(w=400,w);background(9).stroke(w,96);for(t+=PI/20,i=1e4;i--;)a(i%16*10)}//#つぶやきProcessing
Matthew Davis retweeted
Uploaded a dataset of 115,293 illustrated pages from the Encyclopaedia Britannica, 1st edition (1768) to 14th (1929) to the Hub
huggingface.co/datasets/bigl…
Matthew Davis retweeted
Real plot nerds might be curious how I got the text labels around the periphery to be so orderly. I computed the convex hull of the data then computed 3 expansion shells of that hull. Sequential labels alternate between each of the 3 hulls, and go to the closest spot on the hull.
If you thought my last post didn't have enough birds, or enough math, or enough math about birds, I have the post for you.
moultano.wordpress.com/2026/…
Matthew Davis retweeted
Just, y’know, a plot of all objects in the universe...🤯
ALT A fascinating plot that provides a representation of various objects and phenomena in the universe across different scales of mass (y-axis) and size (x-axis), spanning from the very smallest (quantum scales) to the very largest (cosmological scales)
Readers added context they thought people might want to know
The plot is Fig. 2 from "All objects and some questions" by Charles H. Lineweaver and Vihan M. Patel (Am. J. Phys. 91, 819–825, 2023; DOI: 10.1119/5.0150209).
gwern.net/doc/science/ph…
Matthew Davis retweeted
a=(y,d=mag(k=(4+cos(i/9-t*2))*cos(i/35),e=y/7-13)+sin(e/9+t/2)-4)=>point((q=2*sin(k*3)-y/35*k*(9+k*sin(cos(e)*9-d*2+t)))+40*cos(c=d-t)+200,q*sin(c)+d*35)
t=0,draw=$=>{t||createCanvas(w=400,w);background(9).stroke(w,96);for(t+=PI/80,i=1e4;i--;)a(i/235)}//#つぶやきProcessing
Matthew Davis retweeted
BBC literally built the greatest sound library on the internet.
It is called BBC Sound Effects, and it gives you access to more than 30,000 recordings from around the world.
Just search any word, and it instantly finds matching sounds.
You can filter them by category, duration, and even the continent where the sound was recorded.
Every sound can be previewed inside your browser, downloaded, or added to the built-in mixer so you can layer multiple recordings together.
And the archive gets insanely specific.
You can find creaking ships, old typewriters, jungle ambience, distant church congregations, and even someone vigorously washing their hands.
There is a good chance a BBC engineer recorded the exact sound you need decades before you were born.
sound-effects.bbcrewind.co.u…
Matthew Davis retweeted
turned three years of my tweets into a memory palace: eleven interconnected rooms organized by theme, navigable by hand🪬
Matthew Davis retweeted
🚀We just released Asset Harvester, an image-to-3D model and end-to-end pipeline that extracts real object assets from autonomous driving videos!
🌐 Website: research.nvidia.com/labs/sil…
💻 Code: github.com/nvidia/asset-harv…
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#AssetHarvester #AVSimulation #WorldModel #AutonomousDriving
Matthew Davis retweeted
RF-DETR is the best open-source choice if you work with aerial or satellite images
in this specific project, RF-DETR Medium outperformed YOLO26 fine-tuned on the same dataset by 12 mAP
in object detection, that is a huge gap
link: github.com/roboflow/rf-detr
Matthew Davis retweeted
Cooking since 2024, my essay on jacked aesthetics in Silicon Valley, biological utopianism, and the destiny of this total cultural turn toward embodiment is finally out. Read it and Understand.
writing.tobyshorin.com/body-…
