Tootfinder

🇺🇦 #NowPlaying on KEXP's #DriveTime
Cassandra Wilson:
🎵 Time After Time
#CassandraWilson
https://renaissancedp.bandcamp.com/track/time-after-time
https://open.spotify.com/track/7fq8a2BJYAN92veaSO73IF

More AI Assistance Reduces Cognitive Engagement: Examining the AI Assistance Dilemma in AI-Supported Note-Taking
Xinyue Chen, Kunlin Ruan, Kexin Phyllis Ju, Nathan Yap, Xu Wang
https://arxiv.org/abs/2509.03392

More AI Assistance Reduces Cognitive Engagement: Examining the AI Assistance Dilemma in AI-Supported Note-Taking
As AI tools become increasingly embedded in cognitively demanding tasks such as note-taking, questions remain about whether they enhance or undermine cognitive engagement. This paper examines the "AI Assistance Dilemma" in note-taking, investigating how varying levels of AI support affect user engagement and comprehension. In a within-subject experiment, we asked participants (N=30) to take notes during lecture videos under three conditions: Automated AI (high assistance with structured notes),…

Cognition releases SWE-1.5, a new coding model in Windsurf, saying it partnered with Cerebras to serve SWE-1.5 at speeds up to 13x faster than Claude Sonnet 4.5 (Cognition)
https://cognition.ai/blog/swe-1-5

Cognition | Introducing SWE-1.5: Our Fast Agent Model
Today we’re releasing SWE-1.5, the latest in our family of models optimized for software engineering. It is a frontier-size model with hundreds of billions of parameters that achieves near-SOTA coding performance. It also sets a new standard for speed: we partnered with Cerebras to serve it at up to 950 tok/s – 6x faster than Haiku 4.5 and 13x faster than Sonnet 4.5. SWE-1.5 is now available in Windsurf!

Artificial phantasia: Evidence for propositional reasoning-based mental imagery in large language models https://arxiv.org/abs/2509.23108 on the representation of visual imagery in humans; more information in the Bluesky thread

Artificial Phantasia: Evidence for Propositional Reasoning-Based Mental Imagery in Large Language Models
This study offers a novel approach for benchmarking complex cognitive behavior in artificial systems. Almost universally, Large Language Models (LLMs) perform best on tasks which may be included in their training data and can be accomplished solely using natural language, limiting our understanding of their emergent sophisticated cognitive capacities. In this work, we created dozens of novel items of a classic mental imagery task from cognitive psychology. A task which, traditionally, cognitive…

existence of TransCanada Corporation implies the existence of CisCanada Corporation

A Wrist-Worn Multimodal Reaction Time Monitoring Device for Ecologically-Valid Cognitive Assessment
Abhigyan Sarkar, Boris Rubinsky
https://arxiv.org/abs/2509.02626 https://

A Wrist-Worn Multimodal Reaction Time Monitoring Device for Ecologically-Valid Cognitive Assessment
Reaction time (RT) is a fundamental measure in cognitive and neurophysiological assessment, yet most existing RT systems require active user engagement and controlled environments, limiting their use in real-world settings. This paper introduces a low cost wrist-worn instrumentation platform designed to capture human reaction times (RT) across auditory, visual, and haptic modalities with millisecond latency in real-world conditions. The device integrates synchronized stimulus delivery and event…

Nonlinear Continuum of States and Intuitionistic Flows in a Cognitive Space
Faruk Alpay, Taylan Alpay
https://arxiv.org/abs/2509.02613 https://arxiv.org/pd…

Nonlinear Continuum of States and Intuitionistic Flows in a Cognitive Space
We construct a rigorous mathematical framework for an abstract continuous evolution of an internal state, inspired by the intuitive notion of a flowing thought sequence. Using tools from topology, functional analysis, measure theory, and logic, we formalize an indefinitely proceeding sequence of states as a non-linear continuum with rich structure. In our development, a trajectory of states is modeled as a continuous mapping on a topological state space (a potentially infinite-dimensional Banac…

Facilitating Cognitive Accessibility with LLMs: A Multi-Task Approach to Easy-to-Read Text Generation
Fran\c{c}ois Ledoyen, Ga\"el Dias, Jeremie Pantin, Alexis Lechervy, Fabrice Maurel, Youssef Chahir
https://arxiv.org/abs/2510.00662

Facilitating Cognitive Accessibility with LLMs: A Multi-Task Approach to Easy-to-Read Text Generation
Simplifying complex texts is essential for ensuring equitable access to information, especially for individuals with cognitive impairments. The Easy-to-Read (ETR) initiative offers a framework for making content accessible to the neurodivergent population, but the manual creation of such texts remains time-consuming and resource-intensive. In this work, we investigate the potential of large language models (LLMs) to automate the generation of ETR content. To address the scarcity of aligned corp…

Discord now lets users buy, wishlist, and gift in-game cosmetic items directly within its platform, starting with a store within Marvel Rivals' Discord server (Ash Parrish/The Verge)
https://www.theverge.com/news/835385/discord-shop-marvel-rivals-gifting-…

Discord now lets you buy and gift video game skins
Discord has launched a new store feature in partnership with Marvel Rivals that will let users buy in-game items through Discord.

Inclusive Easy-to-Read Generation for Individuals with Cognitive Impairments
Fran\c{c}ois Ledoyen, Ga\"el Dias, Alexis Lechervy, Jeremie Pantin, Fabrice Maurel, Youssef Chahir, Elisa Gouzonnat, M\'elanie Berthelot, Stanislas Moravac, Armony Altinier, Amy Khairalla
https://arxiv.org/abs/2510.00691

Inclusive Easy-to-Read Generation for Individuals with Cognitive Impairments
Ensuring accessibility for individuals with cognitive impairments is essential for autonomy, self-determination, and full citizenship. However, manual Easy-to-Read (ETR) text adaptations are slow, costly, and difficult to scale, limiting access to crucial information in healthcare, education, and civic life. AI-driven ETR generation offers a scalable solution but faces key challenges, including dataset scarcity, domain adaptation, and balancing lightweight learning of Large Language Models (LLM…