Tootfinder

The irony is not lost on me that working from ostensive definition — “supervised learning” in the biz — is in fact an area in which modern “AI” excels: “Here are 10000 pictures of cats, and 10000 pictures of not-cats. Now, is this a picture of a cat?” Machines have got pretty darned good at that in many spheres.
Does that mean we could train an AI to definitely answer whether AI is in fact “intelligence,” since intelligence is in practice defined by example? In short, no — and I think there’s a spark of insight in answering that question:

I was downloading Neverwinter and wanted to know its file size. Luckily, I found the answer in a Reddit comment, which saved me a lot of trouble. Sharing this in case anyone on the fediverse happens to be downloading Neverwinter, you never know!
Read more here:

Solution for Meta KDD Cup'25: A Comprehensive Three-Step Framework for Vision Question Answering
Zijian Zhang, Xiaocheng Zhang, Yang Zhou, Zhimin Lin, Peng Yan
https://arxiv.org/abs/2507.21520

Solution for Meta KDD Cup'25: A Comprehensive Three-Step Framework for Vision Question Answering
Vision Large Language Models (VLLMs) have improved multi-modal understanding and visual question answering (VQA), but still suffer from hallucinated answers. Multi-modal Retrieval-Augmented Generation (RAG) helps address these issues by incorporating external information, yet challenges remain in visual context comprehension, multi-source retrieval, and multi-turn interactions. To address these challenges, Meta constructed the CRAG-MM benchmark and launched the CRAG-MM Challenge at KDD Cup 2025…

PRIME: Planning and Retrieval-Integrated Memory for Enhanced Reasoning
Hieu Tran, Zonghai Yao, Nguyen Luong Tran, Zhichao Yang, Feiyun Ouyang, Shuo Han, Razieh Rahimi, Hong Yu
https://arxiv.org/abs/2509.22315

PRIME: Planning and Retrieval-Integrated Memory for Enhanced Reasoning
Inspired by the dual-process theory of human cognition from \textit{Thinking, Fast and Slow}, we introduce \textbf{PRIME} (Planning and Retrieval-Integrated Memory for Enhanced Reasoning), a multi-agent reasoning framework that dynamically integrates \textbf{System 1} (fast, intuitive thinking) and \textbf{System 2} (slow, deliberate thinking). PRIME first employs a Quick Thinking Agent (System 1) to generate a rapid answer; if uncertainty is detected, it then triggers a structured System 2 rea…

»Auch wenn tüchtige Sekretärinnen immer sehr geschätzt wurden, zeigt sich hier ein respektvoller Umgang, der in den späteren Jahren verloren ging. Möglicherweise lag es daran, dass Sekretär zu dieser Zeit ein angesehener Männerberuf war und die ersten Sekretärinnen von diesem Ansehen profitierten. Oftmals verlieren Berufe ihren Status, wenn er zu einem Frauenberuf wird.«
Aus: Annegret Braun – Die Sekretärin (2024)

Okay, that explains a LOT. Our poor Wolverine coaches were turning yellow 😭
https://www.trains.com/pro/passenger/intercity/amtraks-chicago-train-wash-open-for-business-other-locations-to-follow/

Amtrak's Chicago train wash open for business; other locations to follow - Trains
CHICAGO— The questions “what took so long?” and “when will the others be operational?” weren’t entirely answered Thursday, Oct. 23, when Trains was among those invited to observe, along with Amtrak president Roger Harris, the workings of the long-overdue train wash located near the south end of the company’s 16th Street coach yard. “Each one [...]Read More...

Interesting discussion thread on open science
https://neuromatch.social/@adredish/114942098283461507

The sanctions, which came into effect late on Saturday and three months after Israel and the US bombed Iran,
bar dealings related to Tehran’s nuclear and ballistic missiles programme
and are also expected to have wider effects on the country’s troubled economy.
“The current [economic] situation was already very difficult, but it’s going to get worse,” said an Iranian engineer who asked to be identified only by his first name, Dariush.
“The impact of the renewed sancti…

AI-SearchPlanner: Modular Agentic Search via Pareto-Optimal Multi-Objective Reinforcement Learning
Lang Mei, Zhihan Yang, Chong Chen
https://arxiv.org/abs/2508.20368 https://

AI-SearchPlanner: Modular Agentic Search via Pareto-Optimal Multi-Objective Reinforcement Learning
Recent studies have explored integrating Large Language Models (LLMs) with search engines to leverage both the LLMs' internal pre-trained knowledge and external information. Specially, reinforcement learning (RL) has emerged as a promising paradigm for enhancing LLM reasoning through multi-turn interactions with search engines. However, existing RL-based search agents rely on a single LLM to handle both search planning and question-answering (QA) tasks in an end-to-end manner, which limits thei…

Widespread UN sanctions against Iran have come back into force for the first time in a decade,
after last-ditch nuclear talks with western powers failed to produce a breakthrough.
The sanctions, which came into effect late on Saturday and three months after Israel and the US bombed Iran,
bar dealings related to Tehran’s nuclear and ballistic missiles program and are also expected to have wider effects on its troubled economy.