Tootfinder

University of Texas study, for blind or low vision participants: Living in an AI-filtered reality: Participant recruitment & eligibility screening form https://docs.google.com/forms/d/e/1FAIpQLSfrJaZokMcnv7t0ExHT1hdVZ8dEsgV-AymJxguendMqTKxEZA…

Living in an AI-Filtered Reality: Participant Recruitment & Eligibility Screening Form
Thank you for your interest in participating in this research study. We are researchers from the Department of Computer Science at The University of Texas at San Antonio (UT San Antonio). This study explores how blind and low-vision (BLV) individuals experience AI-powered assistive technologies, including scene description applications, wearable AI assistants, and generative AI tools such as ChatGPT, Seeing AI, Be My Eyes AI, Gemini, and similar systems. We are particularly interested in situat…

This post gets regular inline updates:
https://adrianroselli.com/2024/04/what-you-can-do-as-a-web-builder-on-earth-day.html
Today I added a Nature article, the Web Sustainability Guidelines Impact Ratings, and the Carbon in Context calcula…

What You Can Do as a Web Builder on Earth Day
One easy thing you can do for the earth is not use “AI” tools. Consider this as a programmer, web developer, web designer, copywriter, webmaster, etc. The tools include anything branded as generative AI, LLMs, computer vision tools, Copilot, ChatGPT, Bard, Grok, Dall-e, Midjourney, and so on. If you are…

How Organizations Use AI: Evidence from ChatGPT
Aaron Chatterji, David Holtz, Neel Rakholia, Prasanna Tambe, Gawesha Weeratunga
https://arxiv.org/abs/2608.12236 https://arxiv.org/pdf/2608.12236 https://arxiv.org/html/2608.12236
arXiv:2608.12236v1 Announce Type: new
Abstract: We study how organizations use frontier generative AI by linking ChatGPT Enterprise account records to usage, worker roles, task classifications, and public-company financial data through March 2026. These linked data enable a privacy-preserving analysis of adoption, worker roles, and message-level tasks at scale: for instance, the worker-level sample we analyze at the six-month adoption horizon includes over 1,500 organizations and over 17 million messages. We document four facts about enterprise AI adoption and use. First, ChatGPT Enterprise usage has grown rapidly due to a combination of new firm adoption and growing intensity among existing adopters. Second, U.S.-based public company adoption is concentrated among larger, more valuable, and more R&D- and SG&A-intensive firms. Third, active use within adopting firms spans job functions and seniority levels, with especially high usage intensity among early-career workers. Fourth, ChatGPT Enterprise usage encompasses a broad range of knowledge work tasks, including writing, technical work, communication, and information synthesis. In aggregate, these results suggest that firms differ widely in the speed, breadth and purpose of their enterprise AI adoption, and that they are still actively learning how to integrate AI into organizational workflows.
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