Tootfinder

#Blakes7 Series C, Episode 12 - Death-Watch
DEETA: So, you have an answer for the Summons to Justification. Like what? Surely not a Blood Feud? [rises to face her] I can't have killed someone who's close kin to both of you. Particularly not as your friend here is a citizen of the Vandor Confederacy. As I assume you are. [drops a metal ID card at her feet]
KARLA: [Picks it …

I'm interested in making my own visualizations of weather radar data to display patterns in a region of the US (covered by multiple stations) over longish periods of time (e.g., a month).
Think something like this year of US radar, but smaller & shorter in my case: https://www.youtube.com/watch?v=FPuDPxK88g0
I'm familiar with mapping and animation in Python/R, but not weather radar data. I've been looking for tutorials, but haven't been able to track any down yet. Pointers very much welcome

Who is that in fifth place on the leader board? https://bsky.app/profile/feretta.bsky.social/post/3lowi6rbcec2h (page is SFW but the comic very much is not) Whoever that is won't stay in fifth place for long.

WIRED: There's a very simple pattern to Elon Musk's broken promises https://www.wired.com/story/theres-a-very-simple-pattern-to-elon-musks-broken-promises/ (archived at

There’s a Very Simple Pattern to Elon Musk’s Broken Promises
The entrepreneur’s habit of overpromising on deadlines may be frustrating for investors—but for those looking to see whether a Musk pledge will come good, there’s a key phrase to watch out for.

https://bsky.app/profile/scottohara.me/post/3lrbkvowass2q
Mine are also linked:
https://

Is Sparse Matrix Reordering Effective for Sparse Matrix-Vector Multiplication?
Omid Asudeh, Sina Mahdipour Saravani, Gerald Sabin, Fabrice Rastello, P Sadayappan
https://arxiv.org/abs/2506.10356

Is Sparse Matrix Reordering Effective for Sparse Matrix-Vector Multiplication?
This work evaluates the impact of sparse matrix reordering on the performance of sparse matrix-vector multiplication across different multicore CPU platforms. Reordering can significantly enhance performance by optimizing the non-zero element patterns to reduce total data movement and improve the load-balancing. We examine how these gains vary over different CPUs for different reordering strategies, focusing on both sequential and parallel execution. We address multiple aspects, including appro…

Superstudent intelligence in thermodynamics
Rebecca Loubet, Pascal Zittlau, Marco Hoffmann, Luisa Vollmer, Sophie Fellenz, Heike Leitte, Fabian Jirasek, Johannes Lenhard, Hans Hasse
https://arxiv.org/abs/2506.09822

Superstudent intelligence in thermodynamics
In this short note, we report and analyze a striking event: OpenAI's large language model o3 has outwitted all students in a university exam on thermodynamics. The thermodynamics exam is a difficult hurdle for most students, where they must show that they have mastered the fundamentals of this important topic. Consequently, the failure rates are very high, A-grades are rare - and they are considered proof of the students' exceptional intellectual abilities. This is because pattern learning does…

Testing Suffixient Sets
Davide Cenzato, Francisco Olivares, Nicola Prezza
https://arxiv.org/abs/2506.08225 https://arxiv.org/pdf/2506…

Testing Suffixient Sets
Suffixient sets are a novel prefix array (PA) compression technique based on subsampling PA (rather than compressing the entire array like previous techniques used to do): by storing very few entries of PA (in fact, a compressed number of entries), one can prove that pattern matching via binary search is still possible provided that random access is available on the text. In this paper, we tackle the problems of determining whether a given subset of text positions is (1) a suffixient set or (2)…

Flow-Lenia: Emergent evolutionary dynamics in mass conservative continuous cellular automata
Erwan Plantec, Gautier Hamon, Mayalen Etcheverry, Bert Wang-Chak Chan, Pierre-Yves Oudeyer, Cl\'ement Moulin-Frier
https://arxiv.org/abs/2506.08569

Flow-Lenia: Emergent evolutionary dynamics in mass conservative continuous cellular automata
Central to the artificial life endeavour is the creation of artificial systems spontaneously generating properties found in the living world such as autopoiesis, self-replication, evolution and open-endedness. While numerous models and paradigms have been proposed, cellular automata (CA) have taken a very important place in the field notably as they enable the study of phenomenons like self-reproduction and autopoiesis. Continuous CA like Lenia have been showed to produce life-like patterns rem…

What annoys me the most about the current state of AI
I've dabbled with ML ever since the very first stanford ML class. That was almost 15 years ago.
On a technical level, it is mind meltingly insane. Just the fact that the stuff that was released in just half a decade works *at all* the way it does is just... amazing.
There is genunely amazing tech in there. Especially in pattern recognition and processing.
But then it gets tarnished by *gestures around broadly*