Tootfinder

Can confirm! Fun game and gorgeous day at @…. Plus, I’m always happy to watch a Boston team play and not win. 😈
https://twitter.com/SFGiants/status/19

SFGiants (@SFGiants) on X
What a game!

🇺🇦 Auf radioeins läuft...
Sophia Kennedy:
🎵 Rodeo
#NowPlaying #SophiaKennedy
https://sophiakennedy.bandcamp.com/track/rodeo
https://open.spotify.com/track/3AK1IvwhjvgOAWhl7wuhe6

In mathematics, we have a useful phrase I wish were more in general parlance: “necessary but not sufficient.”
This is not sufficient, but it is necessary. Call those Senators. They aren’t •completely• useless. https://mastodon.social/@indivisibleteam/114729468063702602

Coining "#malcompetence" to mean "actions & their outcomes which are consistent with incompetence but which have an overall malicious effect, especially when the incompetence manifests differently in different situations to produced de facto discrimination."
Malcompetence can run the gamut from actual intentional malice disguised to appear as incompetence, to subconsciously coordinated malicious incompetence that the perpetrator is not consciously aware of but which a less subconsciously biased person would not engage in, to truly unintentional incompetence which manifests in a pattern because of bias in oversight/attention/competence-building. These different root causes are often not distinguishable, and sometimes blend together.
<does a quick search>
Okay, so it looks like I'm not the only one to have coined this term, but I think digging into the different types is still useful.

H-QuEST: Accelerating Query-by-Example Spoken Term Detection with Hierarchical Indexing
Akanksha Singh, Yi-Ping Phoebe Chen, Vipul Arora
https://arxiv.org/abs/2506.16751

H-QuEST: Accelerating Query-by-Example Spoken Term Detection with Hierarchical Indexing
Query-by-example spoken term detection (QbE-STD) searches for matching words or phrases in an audio dataset using a sample spoken query. When annotated data is limited or unavailable, QbE-STD is often done using template matching methods like dynamic time warping (DTW), which are computationally expensive and do not scale well. To address this, we propose H-QuEST (Hierarchical Query-by-Example Spoken Term Detection), a novel framework that accelerates spoken term retrieval by utilizing Term Fre…

🇺🇦 #NowPlaying on KEXP's #MidnightInAPerfectWorld
Erika de Casier:
🎵 Little Bit
#ErikadeCasier
https://aines.bandcamp.com/track/erika-de-casier-little-bit-aines-endless-summer-edit
https://open.spotify.com/track/0spXmYRCgO10zVvQwkj4hZ

🇺🇦 Auf #radioeins läuft...
Sophia Kennedy:
🎵 Imaginary Friend (Radio Edit)
#NowPlaying #SophiaKennedy
https://sophiakennedy.bandcamp.com/track/imaginary-friend
https://open.spotify.com/track/7CbVZ2Yzl0TtcCERaJDZSR

Continual Learning with Columnar Spiking Neural Networks
Denis Larionov, Nikolay Bazenkov, Mikhail Kiselev
https://arxiv.org/abs/2506.17169 https://…

Continual Learning with Columnar Spiking Neural Networks
This study investigates columnar-organized spiking neural networks (SNNs) for continual learning and catastrophic forgetting. Using CoLaNET (Columnar Layered Network), we show that microcolumns adapt most efficiently to new tasks when they lack shared structure with prior learning. We demonstrate how CoLaNET hyperparameters govern the trade-off between retaining old knowledge (stability) and acquiring new information (plasticity). Our optimal configuration learns ten sequential MNIST tasks effe…

Any sufficiently advanced technology is indistinguishable from a rigged demo.
-- Andy Finkel, computer guy

Spagnola: Searching for some one-year wonders https://www.dallascowboys.com/news/spagnola-searching-for-some-one-year-wonders