Tootfinder

Iran's largest crypto exchange Nobitex says it was hacked, and pro-Israel group Predatory Sparrow claims responsibility; Elliptic: $90M was stolen and "burned" (Zack Whittaker/TechCrunch)
https://techcrunch.com/2025/06/18/hack

Hackers steal and destroy millions from Iran's largest crypto exchange | TechCrunch
It's the latest cyberattack on Iran claimed by a pro-Israeli hacking group since the latest flare up in tensions between the two countries.

Love to see all the #NoKings posts!! Do we have any sources on total turnout?
Edit: this #TheGuardian article says "several millions" and also that they're still ongoing in some places:

Reclaim the U.S. flag 🇺🇸at the #NoKings protests around the nation on ⭐️ Saturday, June 14th
when the fascist spends millions of our hard earned tax dollars for a North Korean style military parade for his birthday!
https://

A good news story about the great gender preference divide.
After years of declining sex ratios that saw increases in female infanticide and missing girls, it seems there's a change.
'Globally, among babies born in 2000, a staggering 1.6m girls were missing from the number you would expect, given the natural sex ratio at birth. This year that number is likely to be 200,000—and it is still falling.'
Beautiful hope.

The stunning decline of the preference for having boys
Millions of girls were aborted for being girls. Now parents often lean towards them

I think we all knew a Melon Husk / Turnip meltdown was inevitable, but I didn't think it'd happen this soon, escalate this quickly, or blowup this spectacularly.
🍿 🍿 🍿
#MelonHusk #POTUS47

"Kestävyyden filosofia" (Teea Kortetmäki, Markku Oksanen & Mikko Puumala) on mielenkiintoisin ja filosofisin tänä vuonna lukemani kestävyyskirja. Monipuolista, analyyttistä, kattavaa ja tarkkaa aiheen käsittelyä.

On the Comprehensibility of Multi-structured Financial Documents using LLMs and Pre-processing Tools
Shivani Upadhyay, Messiah Ataey, Shariyar Murtuza, Yifan Nie, Jimmy Lin
https://arxiv.org/abs/2506.05182

On the Comprehensibility of Multi-structured Financial Documents using LLMs and Pre-processing Tools
The proliferation of complex structured data in hybrid sources, such as PDF documents and web pages, presents unique challenges for current Large Language Models (LLMs) and Multi-modal Large Language Models (MLLMs) in providing accurate answers. Despite the recent advancements of MLLMs, they still often falter when interpreting intricately structured information, such as nested tables and multi-dimensional plots, leading to hallucinations and erroneous outputs. This paper explores the capabilit…

This https://arxiv.org/abs/2505.19901 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCV_…

Dynamic-I2V: Exploring Image-to-Video Generaion Models via Multimodal LLM
Recent advancements in image-to-video (I2V) generation have shown promising performance in conventional scenarios. However, these methods still encounter significant challenges when dealing with complex scenes that require a deep understanding of nuanced motion and intricate object-action relationships. To address these challenges, we present Dynamic-I2V, an innovative framework that integrates Multimodal Large Language Models (MLLMs) to jointly encode visual and textual conditions for a diffus…

SRPO: Enhancing Multimodal LLM Reasoning via Reflection-Aware Reinforcement Learning
Zhongwei Wan, Zhihao Dou, Che Liu, Yu Zhang, Dongfei Cui, Qinjian Zhao, Hui Shen, Jing Xiong, Yi Xin, Yifan Jiang, Yangfan He, Mi Zhang, Shen Yan
https://arxiv.org/abs/2506.01713

SRPO: Enhancing Multimodal LLM Reasoning via Reflection-Aware Reinforcement Learning
Multimodal large language models (MLLMs) have shown promising capabilities in reasoning tasks, yet still struggle with complex problems requiring explicit self-reflection and self-correction, especially compared to their unimodal text-based counterparts. Existing reflection methods are simplistic and struggle to generate meaningful and instructive feedback, as the reasoning ability and knowledge limits of pre-trained models are largely fixed during initial training. To overcome these challenges…

This https://arxiv.org/abs/2505.05098 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

X-Driver: Explainable Autonomous Driving with Vision-Language Models
End-to-end autonomous driving has advanced significantly, offering benefits such as system simplicity and stronger driving performance in both open-loop and closed-loop settings than conventional pipelines. However, existing frameworks still suffer from low success rates in closed-loop evaluations, highlighting their limitations in real-world deployment. In this paper, we introduce X-Driver, a unified multi-modal large language models(MLLMs) framework designed for closed-loop autonomous driving…