Here are recordings of seven webcasts of last night's total #LunarEclipse that actually worked (with the time stamp of totality beginning):
https://www.youtube.com/watch?v=XQLcLAfilkQ from 2:31
https://www.youtube.com/watch?v=TywJ47LZ-Ic from 1:53
https://www.youtube.com/watch?v=IdASZ4AGXeY from 8:00
https://www.youtube.com/watch?v=rQuzWYn2WJw from 2:35
https://www.youtube.com/watch?v=JeOlqcK5Edg from 2:27
https://www.youtube.com/watch?v=s2-_LYVuIEE from 0:47
https://www.youtube.com/watch?v=JGxr_kinPmk from 5:53
Many suffered from clouds - as did even Mauna Kea where a sensitive wide angle camera was eventually able to capture the sky around the dark Moon, however:
https://www.youtube.com/watch?v=LJV9EHB05qc (5th hour)
Here are various early timelapse attempts:
https://bsky.app/profile/astrodave.bsky.social/post/3mg5xbiwuvc22
https://www.facebook.com/reel/1999310513984541
https://scicomm.xyz/@david@theblower.au/116165095846134092
https://www.facebook.com/reel/905832598970486
https://bsky.app/profile/nasaspaceflight.com/post/3mg5venqfds2h
This one from an all-sky camera in Alaska features a lot of aurora, better to see during totality:
https://x.com/landon_wx/status/2028820535757472112
And finally one with the Moon setting before totality:
https://bsky.app/profile/naztronomy.com/post/3mg5tzlesxk2p
In hindsight, this January 13 announcement was significant:
«The U.S. Navy aircraft carrier USS Abraham Lincoln CVN 72 conducted a live fire Close In Weapon System exercise on 8 January 2026, according to information published by the U.S. Department of War. The drill confirmed the carrier’s ability to defeat close-range aerial and surface threats while operating in a strategically sensitive region.»
“This is all being read inside of Iran as a war on the Iranian people.”
As oil prices threaten to spike to $200 a barrel amid Iran’s pressure campaign against the U.S. and its allies,
professor Narges Bajoghli returns to Democracy Now! with an update on the war on Iran and its place in the modern history of U.S.-Iran relations.
Bajoghli explains how the combination of harsh sanctions and an insidious propaganda campaign has created a deep political divide within Iran and it…
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
Binance files a New York defamation suit against Dow Jones over the WSJ's February 23 article on the crypto exchange's handling of Iranian-linked transactions (Francisco Rodrigues/CoinDesk)
https://www.coindesk.c…
Binance files a New York defamation suit against Dow Jones over the WSJ's February 23 article on the crypto exchange's handling of Iranian-linked transactions (Francisco Rodrigues/CoinDesk)
https://www.coindesk.c…
Since it looks like it might be a while until the Steam Machines are released, due to market bullshit around AI malinvestment and the subsequent price of RAM, I gave up waiting and Installed Jellyfin on a temporary machine.
Jellyfin is pretty nice. I like the sync-play feature so the machines in the kitchen and bedroom and studio can all be playing the same thing. Walking between rooms and detecting which is slightly ahead, makes me smile. Watching a TV show as I cook and being able to wonder around the flat viewing uninterupted.
A bit flakey with video though. Sync failure means they all pause sometimes. Might just be the wifi signal strength I guess.
Ripped all the old archive folders of DVDs and CDs. DVDs have a quite high failure rate after fifteen years in a cupboard eh? CDs faired better.
Expect I'll buy charity shop DVDs more now. Though also expecting half of 'em won't work.
I'm listening to music a bit more now I have a one button shuffle that triggers everywhere in the flat.
I set up a ytdl-sub to copy a few youtube playlists into the TV shows folders. Keeping like the last month's worth. Some shows, like the Dust sci-fi channel say, work really well as being part of the synced TV system instead.
Also made it slurp up all my old youtube videos into a folder too, so yet another local copy of everything I made, in there with all the other ripped shows.
I have spent far too long this month fussing with directory structures and tweeking icon images and things to make it look all pretty. Enjoy that sort of thing though.
#jellyfin #music #dvd