It is increasingly clear that Google cannot enforce their censorship policy with any semblance of fairness. Worse, [their editorial policy in ads undermines their claim of fair, computer-generated results](https://google.blogspace.com/archives/001233). Google should stick to ensuring adds are accurate, and let the computer decide which ones to show based on which are popular. [Google’s Gag Order (Google Weblog)]
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Generative AI, scholarly and cultural language models, and the return of content
AI momentum continues to grow, and we are seeing more applications in the scholarly and cultural spaces. Several organizations have been creating specialist large language models based on reservoirs of curated scientific and cultural data.
22 min read
Generative AI and large language models: background and contexts
The promise and challenge of Generative AI is now central. This is a summary overview of some of the major directions and issues, acknowledging that things are moving very quickly. I intend it as background to later posts about library implications and developments.
49 min read
The technology career ladder
Library leaders should be drawn from across the organization. Any idea that technology leaders are overly specialised or too distant from general library work is outmoded and counter-productive.
7 min read
