Tootfinder

En vennlig påminnelse for dagen: https://nsf-iaa.org – https://iwa-ait.org

Figma releases Dev Mode Model Context Protocol server, which provides more context about how AI designs are created in Figma (Jess Weatherbed/The Verge)
https://www.theverge.com/news/679439/figma-dev-mode-mcp-server-beta-release

Figma will let your AI access its design servers
Figma is launching a Dev Mode MCP Server that can help AI models more effectively translate designs into fully coded applications.

Ukraine, Russia conduct new POW exchange: https://benborges.xyz/2025/07/04/ukraine-russia-conduct-new-pow.html

Series B, Episode 03 - Weapon
TRAVIS: I was merely quoting you, Supreme Commander.
SERVALAN: Contact the ship. I have an appointment with a man named Carnell.
TRAVIS: [Regarding the clone on his way out] My compliments.
https://blake.torpidity.net/m/203/529 B7B5

Blakes7Bot | Search
Companion site to the Blakes7Bot Twitter, Mastodon, and Bluesky accounts. Automated lines of Blakes 7 dialog. Includes a script search facility.

Découvrez l'histoire poignante de 4 générations de victimes et de plus d'une centaine d'enfants sur https://chardonsbleus.org/contexte-4-generations-de-victimes-une-centaine-denfants-okc/ 💔

Scenes From Deerlick Creek
#northyork

Understanding and Improving Length Generalization in Recurrent Models
Ricardo Buitrago Ruiz, Albert Gu
https://arxiv.org/abs/2507.02782 https://

Understanding and Improving Length Generalization in Recurrent Models
Recently, recurrent models such as state space models and linear attention have become popular due to their linear complexity in the sequence length. Thanks to their recurrent nature, in principle they can process arbitrarily long sequences, but their performance sometimes drops considerably beyond their training context lengths-i.e. they fail to length generalize. In this work, we provide comprehensive empirical and theoretical analysis to support the unexplored states hypothesis, which posits…

An AI-native experimental laboratory for autonomous biomolecular engineering
Mingyu Wu, Zhaoguo Wang, Jiabin Wang, Zhiyuan Dong, Jingkai Yang, Qingting Li, Tianyu Huang, Lei Zhao, Mingqiang Li, Fei Wang, Chunhai Fan, Haibo Chen
https://arxiv.org/abs/2507.02379

An AI-native experimental laboratory for autonomous biomolecular engineering
Autonomous scientific research, capable of independently conducting complex experiments and serving non-specialists, represents a long-held aspiration. Achieving it requires a fundamental paradigm shift driven by artificial intelligence (AI). While autonomous experimental systems are emerging, they remain confined to areas featuring singular objectives and well-defined, simple experimental workflows, such as chemical synthesis and catalysis. We present an AI-native autonomous laboratory, target…

From Long Videos to Engaging Clips: A Human-Inspired Video Editing Framework with Multimodal Narrative Understanding
Xiangfeng Wang, Xiao Li, Yadong Wei, Xueyu Song, Yang Song, Xiaoqiang Xia, Fangrui Zeng, Zaiyi Chen, Liu Liu, Gu Xu, Tong Xu
https://arxiv.org/abs/2507.02790

From Long Videos to Engaging Clips: A Human-Inspired Video Editing Framework with Multimodal Narrative Understanding
The rapid growth of online video content, especially on short video platforms, has created a growing demand for efficient video editing techniques that can condense long-form videos into concise and engaging clips. Existing automatic editing methods predominantly rely on textual cues from ASR transcripts and end-to-end segment selection, often neglecting the rich visual context and leading to incoherent outputs. In this paper, we propose a human-inspired automatic video editing framework (HIVE)…

Bruh, Norge trenger verken autoritære ledere eller republikk, ekte folkestyre skapes av arbeiderklassen og de lokale fellesskapene selv.
Les mer her: #NorskTut