Series D, Episode 03 - Traitor
DAYNA: I didn't know Helots were originally from Earth.
VILA: Everyone came from Earth originally. That's a well-known fact.
SOOLIN: It's a well-known opinion, actually.
TARRANT: Most well known facts are.
https://blake.torpidity.net/m/403/96<…
„As the state imposed a sweeping information blackout and advanced claims blaming foreign agents for the violence, this brutality has nonetheless been met with a striking absence of sustained outrage in spaces that otherwise position themselves as opponents of state violence. Among Western progressives, the response has largely been silence.“
Hierarchic-EEG2Text: Assessing EEG-To-Text Decoding across Hierarchical Abstraction Levels
Anupam Sharma, Harish Katti, Prajwal Singh, Shanmuganathan Raman, Krishna Miyapuram
https://arxiv.org/abs/2602.20932 https://arxiv.org/pdf/2602.20932 https://arxiv.org/html/2602.20932
arXiv:2602.20932v1 Announce Type: new
Abstract: An electroencephalogram (EEG) records the spatially averaged electrical activity of neurons in the brain, measured from the human scalp. Prior studies have explored EEG-based classification of objects or concepts, often for passive viewing of briefly presented image or video stimuli, with limited classes. Because EEG exhibits a low signal-to-noise ratio, recognizing fine-grained representations across a large number of classes remains challenging; however, abstract-level object representations may exist. In this work, we investigate whether EEG captures object representations across multiple hierarchical levels, and propose episodic analysis, in which a Machine Learning (ML) model is evaluated across various, yet related, classification tasks (episodes). Unlike prior episodic EEG studies that rely on fixed or randomly sampled classes of equal cardinality, we adopt hierarchy-aware episode sampling using WordNet to generate episodes with variable classes of diverse hierarchy. We also present the largest episodic framework in the EEG domain for detecting observed text from EEG signals in the PEERS dataset, comprising $931538$ EEG samples under $1610$ object labels, acquired from $264$ human participants (subjects) performing controlled cognitive tasks, enabling the study of neural dynamics underlying perception, decision-making, and performance monitoring.
We examine how the semantic abstraction level affects classification performance across multiple learning techniques and architectures, providing a comprehensive analysis. The models tend to improve performance when the classification categories are drawn from higher levels of the hierarchy, suggesting sensitivity to abstraction. Our work highlights abstraction depth as an underexplored dimension of EEG decoding and motivates future research in this direction.
toXiv_bot_toot
Series C, Episode 13 - Terminal
ZEN: Emergence from matter belt in thirty-nine point zero one seconds.
TARRANT: Any damage yet?
ZEN: Hull sensors appear temporarily impaired. All other systems continue on full function.
https://blake.torpidity.net/m/313/139 B7B2
My inability to get a handle on the size of the crowd from inside the crowd is a metaphor for today writ large. In addition to the big downtown protest, there were multiple protests at the airport, clergy arrested for blocking the airport access road, at least two impromptu neighborhood protests I’m aware of near my house. There were food drives. There were street parties. Many businesses that were “closed” kept their doors open and offered free coffee, pancakes, warming spaces. Nobody really knows everything that happened.
#GeneralStrike #MInneapolis
Series B, Episode 04 - Horizon
ZEN: Planet visual is now available. [Horizon appears on main screen]
JENNA: Still holding course, Standard by Two.
BLAKE: Freighter's speed?
ZEN: Time Distort Six.
BLAKE: Freighter's planetfall?
https://blake.torpidity.net/m/204/69
The equal-time rule only applies to candidates for office. The full “Fairness Doctrine” was ended 40 years ago and the lesser “Zapple Doctrine” which extended the equal-time rule to spokespeople and supporters was ended in 2014.
I think we don’t really need to take this seriously. @…
Series C, Episode 03 - Volcano
VILA: Because we can't.
[Flight deck]
AVON: Zen, flight status?
ZEN: The energy banks still require two minutes before power will be available to make navigation speed.
AVON: We'll be dead by then
https://blake.torpidity.net/m/303/622…
#Blakes7 Series B, Episode 03 - Weapon
COSER: What do you suppose happened?
RASHEL: People must have left.
COSER: I can see that, but why did they leave? This isn't a Federation colony planet, so who were they anyway?
RASHEL: Perhaps they were free.