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@cosmos4u@scicomm.xyz
2025-11-17 07:46:18

Is #AI really just dumb statistics? "Olympiad-level physics problem-solving presents a significant challenge for both humans and artificial intelligence (AI), as it requires a sophisticated integration of precise calculation, abstract reasoning, and a fundamental grasp of physical principles," says the (abstract of the) paper arxiv.org/abs/2511.10515: "The Chinese Physics Olympiad (CPhO), renowned for its complexity and depth, serves as an ideal and rigorous testbed for these advanced capabilities. In this paper, we introduce LOCA-R (LOgical Chain Augmentation for Reasoning), an improved version of the LOCA framework adapted for complex reasoning, and apply it to the CPhO 2025 theory examination. LOCA-R achieves a near-perfect score of 313 out of 320 points, solidly surpassing the highest-scoring human competitor and significantly outperforming all baseline methods." Oops ...?

@blakes7bot@mas.torpidity.net
2025-11-16 16:08:47

Series B, Episode 10 - Voice from the Past
JENNA: Zen, abort course for asteroid PK One One Eight and resume course for planet Del Ten. Confirm with arrival time.
ZEN: Arrival at planet Del Ten at zero four five plus one.
[Liberator turns in space]
blake.torpidity.net/m/210/164

Claude 3.7 describes the image as: "This is a black and white close-up portrait showing a person with feathered, shoulder-length hair styled in a 1970s fashion. The image captures an intense, thoughtful expression with the subject gazing slightly upward. The lighting creates a dramatic contrast that emphasizes the facial features and the texture of the hair. The background is blurred but appears to be a simple, dark setting typical of film or television production from that era.

The monochrome…
@brewsterkahle@mastodon.archive.org
2026-01-14 19:50:03

"The Value of Public Domain Day"
a thoughtful piece on the economics and the loss by our overzealous locking up of our culture.
authorsalliance.org/2026/01/01
but please celebra…

poster
@tinoeberl@mastodon.online
2025-10-30 17:18:04

Der Hamburger Verkehrsverbund (#HVV) passt ab Januar 2026 seine #Ticketpreise an.
Einzelne Fahrkarten steigen um bis zu 13 %. Besonders betroffen ist das #Nahbereich-Ticket, das künftig 3,50 E…

@leftsidestory@mstdn.social
2026-01-04 02:07:20

Un Momento 🕰️
一瞬 🕰️
📷 Zeiss Ikon Super Ikonta 533/16
🎞️ Lucky SHD 400
#filmphotography #Photography #blackandwhite

Lucky SHD 400 (6x6)

English Alt Text: A black-and-white overhead view of an urban plaza. Two people sit on a curved concrete bench surrounding a circular planter with a leafy tree. They appear to be talking or looking at something together. The ground is paved with rectangular tiles, and a glass building wall reflects part of the scene. Another person is partially visible near the planter. The image emphasizes quiet human interaction in a thoughtfully designed public space.

中文替代文本:
这是一张黑白俯视图,…
Lucky SHD 400 (6x6)

English Alt Text: A black-and-white photo of a modern city street. Several people walk along a wide pedestrian path lined with trees and tall buildings. The buildings have glass facades and display signs in Chinese characters, including a spa and various shops. Some people carry shopping bags or pull suitcases. The atmosphere is busy but orderly, capturing a typical day in a commercial district. The contrast between the sleek architecture and natural elements like trees add…
Lucky SHD 400 (6x6)

English Alt Text: A black-and-white image of a bustling urban plaza. Tall buildings with reflective glass facades and Chinese signage surround the area. A large advertisement featuring a person dominates one building. Trees are planted in circular planters along paved walkways. An elevated pedestrian bridge connects parts of the complex, with people walking across it. The scene blends architecture, nature, and human activity in a vibrant commercial setting.

中文替代文本:
这是一张黑白照…
Lucky SHD 400 (6x6)

English Alt Text: A black-and-white street scene in a busy commercial area. People walk in various directions on a tiled pedestrian walkway. Modern buildings with glass facades and commercial signs surround the area. In the background, a large billboard shows a person and some text. The image captures the energy of urban life, with movement, architecture, and advertising blending into a dynamic cityscape.

中文替代文本:
这是一张黑白街景照片,拍摄于繁忙的商业区。人们在铺有砖块的人行道上四处走动。周围是现代玻璃幕墙建筑,挂有各类商业招牌。背…
‪@mxp@mastodon.acm.org‬
2025-12-31 10:39:04

@… Sorry!
BTW, did you see that Beamer presentations won’t be accessible, and you need to use a new class, which is unfinished and only partly compatible:

@mxp@mastodon.acm.org‬
2025-12-31 10:39:04

@… Sorry!
BTW, did you see that Beamer presentations won’t be accessible, and you need to use a new class, which is unfinished and only partly compatible:

@Mediagazer@mstdn.social
2025-12-03 11:01:42

A US federal trial of Carl Rinsch, accused of swindling Netflix out of millions when making sci-fi series White Horse, begins with an ex-Netflix exec testifying (Antonio Ferme/Variety)
variety.com/2025/tv/news/carl-

@arXiv_qbioNC_bot@mastoxiv.page
2025-12-11 08:16:21

Meta-learning three-factor plasticity rules for structured credit assignment with sparse feedback
Dimitra Maoutsa
arxiv.org/abs/2512.09366 arxiv.org/pdf/2512.09366 arxiv.org/html/2512.09366
arXiv:2512.09366v1 Announce Type: new
Abstract: Biological neural networks learn complex behaviors from sparse, delayed feedback using local synaptic plasticity, yet the mechanisms enabling structured credit assignment remain elusive. In contrast, artificial recurrent networks solving similar tasks typically rely on biologically implausible global learning rules or hand-crafted local updates. The space of local plasticity rules capable of supporting learning from delayed reinforcement remains largely unexplored. Here, we present a meta-learning framework that discovers local learning rules for structured credit assignment in recurrent networks trained with sparse feedback. Our approach interleaves local neo-Hebbian-like updates during task execution with an outer loop that optimizes plasticity parameters via \textbf{tangent-propagation through learning}. The resulting three-factor learning rules enable long-timescale credit assignment using only local information and delayed rewards, offering new insights into biologically grounded mechanisms for learning in recurrent circuits.
toXiv_bot_toot

@UP8@mastodon.social
2025-10-20 15:14:07

🪣 Drivers Beg for Relief Bill to Allow More Parking for Bathroom Breaks and Rest
#nyc