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"Seeking Joy"
#MellowMusic #NowPlaying
https://muz4now.com/2023/…

Seeking Joy #NowPlaying
Stan Stewart - @muz4now

✊ Jean-Luc Mélenchon: “We Need a New Civic Morality”
#politics…

Jean-Luc Mélenchon: “We Need a New Civic Morality”
As he visits the US for the first time, Jean-Luc Mélenchon, leader of La France Insoumise, writes about the collapse of triumphal capitalist narratives and sets out an alternative vision for humanity that can save us from a dystopian future.

Tient Bull n'est toujours pas mort https://www.lemonde.fr/economie/article/2025/06/02/l-etat-achete-les-supercalculateurs-d-atos_6610190_3234.html

L’Etat achète les supercalculateurs d’Atos
L’Agence des participations de l’Etat achète pour 410 millions d’euros ces activités stratégiques, notamment pour la dissuasion nucléaire.

Elon Musk will singlehandedly be responsible for the wholly unnecessary deaths & misery of millions worldwide. And he & Trump couldn't care less.
You did this, #Trump voter.
And anyone that didn't vote.
http…

Elon Musk’s Reign of Terror Is Only Just Beginning
His “departure” from the government is anything but.

GeoChain: Multimodal Chain-of-Thought for Geographic Reasoning
Sahiti Yerramilli, Nilay Pande, Rynaa Grover, Jayant Sravan Tamarapalli
https://arxiv.org/abs/2506.00785

GeoChain: Multimodal Chain-of-Thought for Geographic Reasoning
This paper introduces GeoChain, a large-scale benchmark for evaluating step-by-step geographic reasoning in multimodal large language models (MLLMs). Leveraging 1.46 million Mapillary street-level images, GeoChain pairs each image with a 21-step chain-of-thought (CoT) question sequence (over 30 million Q&A pairs). These sequences guide models from coarse attributes to fine-grained localization across four reasoning categories - visual, spatial, cultural, and precise geolocation - annotated by d…

Last boost, related #uspol take:
"Here's RFK's plan:
1. Claim vaccines cause autism
2. Push vaccine skepticism, lower vax rates
3. Create autism registry - people avoid getting a diagnosis to stay off it
4. Point to the decrease in autism diagnoses as "proof" vaccines cause autism"
via a screenshot of a tweet by a Skyler Johnson @Skylerfo…

scDataset: Scalable Data Loading for Deep Learning on Large-Scale Single-Cell Omics
Davide D'Ascenzo, Sebastiano Cultrera di Montesano
https://arxiv.org/abs/2506.01883

scDataset: Scalable Data Loading for Deep Learning on Large-Scale Single-Cell Omics
Modern single-cell datasets now comprise hundreds of millions of cells, presenting significant challenges for training deep learning models that require shuffled, memory-efficient data loading. While the AnnData format is the community standard for storing single-cell datasets, existing data loading solutions for AnnData are often inadequate: some require loading all data into memory, others convert to dense formats that increase storage demands, and many are hampered by slow random disk access…

This https://arxiv.org/abs/2411.03328 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Foundation Models for Rapid Autonomy Validation
We are motivated by the problem of autonomous vehicle performance validation. A key challenge is that an autonomous vehicle requires testing in every kind of driving scenario it could encounter, including rare events, to provide a strong case for safety and show there is no edge-case pathological behavior. Autonomous vehicle companies rely on potentially millions of miles driven in realistic simulation to expose the driving stack to enough miles to estimate rates and severity of collisions. To …

RiOSWorld: Benchmarking the Risk of Multimodal Compter-Use Agents
Jingyi Yang, Shuai Shao, Dongrui Liu, Jing Shao
https://arxiv.org/abs/2506.00618 https://…

RiOSWorld: Benchmarking the Risk of Multimodal Compter-Use Agents
With the rapid development of multimodal large language models (MLLMs), they are increasingly deployed as autonomous computer-use agents capable of accomplishing complex computer tasks. However, a pressing issue arises: Can the safety risk principles designed and aligned for general MLLMs in dialogue scenarios be effectively transferred to real-world computer-use scenarios? Existing research on evaluating the safety risks of MLLM-based computer-use agents suffers from several limitations: it ei…

Hidden in Plain Sight: Probing Implicit Reasoning in Multimodal Language Models
Qianqi Yan, Hongquan Li, Shan Jiang, Yang Zhao, Xinze Guan, Ching-Chen Kuo, Xin Eric Wang
https://arxiv.org/abs/2506.00258

Hidden in Plain Sight: Probing Implicit Reasoning in Multimodal Language Models
Multimodal large language models (MLLMs) are increasingly deployed in open-ended, real-world environments where inputs are messy, underspecified, and not always trustworthy. Unlike curated benchmarks, these settings frequently involve instructions that refer to missing objects or contradictory facts, rely on ambiguous references, or request infeasible actions. In such cases, success hinges not on task execution alone, but on a model's ability to detect when something is silently wrong. This pap…