The document "A Chat with Fable," contains 34 pages detailing Fable's views on various key topics, including defensive Markdown, integration with Microsoft Source Manager, and multilingual search challenges. Next steps involve correlating techniques with lesser LLMs to enhance their capabilities, including automatic SVG graphic creation for Word.
On June 10, 2026, a dialogue with Fable, Anthropic's new LLM, addressed its ability to minimize hallucinations in citations. While improvements in verification processes were noted, Fable emphasized the necessity of rigorous URL verification practices. Various levels of hallucination were discussed, leading to an architecture that combines automated and manual verification for accurate citation management.
My recent interaction with Anthropic's new Mythos-class LLM, Fable, revealed its capability to effectively deploy Microsoft Source Manager for reference management, overcoming a significant challenge that previously hindered other LLMs in their automation of Word. Fable's unique approach demonstrated an end-to-end integrated solution, marking a significant advancement in LLM functionality and workflow hyper-efficiency.
Anthropic launched Claude for Education in April 2025. Despite early adoption by five U.S. universities and some activity in the UK and a few other countries (e.g. AU, NL), global HE traction seems limited, with more focus on coding and non-HE educational sectors. National agreements, so far only with Rwanda and India, tend to emphasize sschools or research collaboration over higher education.
This report introduces a series on the deployment of institution-wide LLM agreements in higher education across OECD, EU and similar high-performing economies. It highlights the global adoption of OpenAI's ChatGPT Edu, noting significant national agreements in countries like Italy and Estonia, while emphasizing decentralized U.S. adoption at major universities. Future reports will cover additional countries and LLM SaaS systems.
This posting describes how we automated the Zotero citation process in Word documents produced from LLM-generated Markdown. In passing, footnotes were automated also.
The recent announcement of the impending closure of the OER Foundation (based in Otago in New Zealand) has drawn attention again to the sustainability (or not) of major OER initiatives and the longevity of OER policies. Acting on this we decided to do one of our rapid AI-assisted reviews of the current state of the OER domain. The results were challenging. For speed, this review initially started with a series of seven questions put to ChatGPT (version 5.2) - which we have used a lot over the last three years for policy anal
The discussion emphasizes the rising use of AI tools like ChatGPT among students to complete assignments, prompting universities to update academic integrity guidelines, albeit slowly. The concept of "tring" is introduced, highlighting how AI can reduce assignment effort significantly. Detection methods are limited, and reassessing assignment processes is crucial to prevent issues with academic standards.
Opening up learning 