Tootfinder

I feel like this Masto post will be evidence in yet another claim against Air Canada for wrecking someone’s mobility aid.
https://mastodon.social/@mollyanglin/115228115467133057

Molly Anglin (@mollyanglin@mastodon.social)
Attached: 1 image Sitting on the tarmac for an Air Canada flight from Toronto to Ottawa… The ground crew spent 2 hrs trying to fit a wheelchair into the cargo. After a very long time, they took it off the plane - but appeared to have detached the battery and maybe broken it. 😱 There were maybe 7-10 people out there trying to fix it. I feel for the owner of that chair! #accessibility #aircanada

lkml_thread: Linux kernel mailing list
A bipartite network of contributions by users to threads on the Linux kernel mailing list. A left node is a person, and a right node is a thread, and each timestamped edge (i,j,t) denotes that user i contributed to thread j at time t. The date of the snapshot is not given.
This network has 379554 nodes and 1565683 edges.
Tags: Social, Communication, Unweighted, Timestamps

Microsoft, OpenAI, and Anthropic are providing millions to the American Federation of Teachers to build AI training hubs aimed at educating 400,000 teachers (Jocelyn Gecker/Associated Press)
https://apnews.com/article/artificial-int…

Microsoft and OpenAI invest millions in AI training for teachers
The country’s largest teachers unions are teaming up with tech companies like Microsoft and OpenAI to help educators build literacy in artificial intelligence. The tech giants are paying for training for teachers to apply AI skills in the classroom. For the companies, the partnerships are also opportunities to make inroads into schools and win over students in the race for AI dominance. American Federation of Teachers president Randi Weingarten says skepticism guided her negotiations, but the…

The Guardian: Millions march against Trump in nationwide day of protest
https://www.theguardian.com/us-news/live/2025/oct/18/anti-trump-no-kings-protests-updates

Unleashing the Potential of Multimodal LLMs for Zero-Shot Spatio-Temporal Video Grounding
Zaiquan Yang, Yuhao Liu, Gerhard Hancke, Rynson W. H. Lau
https://arxiv.org/abs/2509.15178

Unleashing the Potential of Multimodal LLMs for Zero-Shot Spatio-Temporal Video Grounding
Spatio-temporal video grounding (STVG) aims at localizing the spatio-temporal tube of a video, as specified by the input text query. In this paper, we utilize multimodal large language models (MLLMs) to explore a zero-shot solution in STVG. We reveal two key insights about MLLMs: (1) MLLMs tend to dynamically assign special tokens, referred to as \textit{grounding tokens}, for grounding the text query; and (2) MLLMs often suffer from suboptimal grounding due to the inability to fully integrate …

How Tea’s Founder Convinced Millions of Women to Spill Their Secrets, Then Exposed Them to the World https://www.404media.co/how-teas-founder-convinced-millions-of-women-to-spill-their-secrets-then-exposed-them-to-the-worl…

A coalition of patriotic groups is again leading a day of mass demonstrations across the US to protest against the Trump authoritarian onslaught.
The coalition spearheaded a previous attempt #NoKings protest day in June,
drawing millions to the streets to speak out against Trumpism on the same day Trump held a military parade in Washington.
Today JD Vance is predictably holding a military…

Rund 15 % der britischen Bevölkerung waren laut einer Umfrage bereits von der #Flut eingeschlossen – oft wegen Fehleinschätzungen.
Viele wissen nicht, dass sich #Gezeiten täglich verschieben und sich örtlich stark unterscheiden. Gerade auf

Misunderstanding the tide is putting millions at risk on UK coasts – here’s what you need to know
Four in ten people surveyed were unaware that tides come in twice daily, that they vary in timing each day, and that they differ in height across the country.

Bears, star CB Jaylon Johnson mulling options with season-ending surgery possible https://www.foxsports.com/articles/nfl/bears-star-cb-jaylon-johnson-mulling-options-with-seasonending-surgery-possible

Controlling Multimodal LLMs via Reward-guided Decoding
Oscar Ma\~nas, Pierluca D'Oro, Koustuv Sinha, Adriana Romero-Soriano, Michal Drozdzal, Aishwarya Agrawal
https://arxiv.org/abs/2508.11616

Controlling Multimodal LLMs via Reward-guided Decoding
As Multimodal Large Language Models (MLLMs) gain widespread applicability, it is becoming increasingly desirable to adapt them for diverse user needs. In this paper, we study the adaptation of MLLMs through controlled decoding. To achieve this, we introduce the first method for reward-guided decoding of MLLMs and demonstrate its application in improving their visual grounding. Our method involves building reward models for visual grounding and using them to guide the MLLM's decoding process. Co…