67 Bricks on Large Language Models (LLMs) in Academic Publishing

Big changes are afoot in the publishing world, with the creation of AI tools like ChatGPT. Nikesh Gosalia talks to Will Bailey and Simon Epstein from 67 Bricks about these developments and their impact on research. They start by sharing the origin story of 67 Bricks: the name was inspired by the number of post-its on a whiteboard during a meeting! Simon shares his perspective on using large language models to improve the efficiency of the publication process, and Will adds that AI models can help connect publishers to peer reviewers. They also talk about using AI to improve the discoverability of academic publications. Next, they discuss a common challenge faced by new technology—data privacy concerns, and Simon mentions the data security practices used by 67 Bricks. Simon also discusses ways for measuring the performance of an AI machine language model, and Will reiterates that AI tools are like all other tools in terms of impact measurement. They emphasize that 67 Bricks works on solving the underlying problem behind the customer brief. Finally, they touch on the pros and cons of AI tools, including ChatGPT and DALL E.

67 Bricks is a technology consultancy company based in Oxford, England, that works with publishers to overcome the ongoing challenges of digital transformation in publishing. Simon Epstein is the Head of Technical Consultancy for Software Development at 67 Bricks. Will Bailey is the Head of Partnerships for Client Services. Connect with 67 Bricks on LinkedIn and Twitter.

Insights Xchange is a fortnightly podcast brought to you by Cactus Communications (CACTUS). Follow us:

• LinkedIn /cactus-communications
• Facebook /CactusCommunications
• Twitter @Cactusglobal
• YouTube @CactusCommunications