Collaborative Intelligence Week in Review - 14Jul2023
Best business article(s) I read this week…
Build a Winning AI Strategy for Your Business
Sadly, I did not read anything great this week. However, I give a weak recommendation to this article, published by a Microsoft executive.
Best technical article(s) I read this week…
Advanced Techniques for Research with ChatGPT
This blog post isn’t particularly technical. It provides an end-to-end process (including prompt engineering) for conducting research and generating insights using ChatGPT. It’s a good example of thinking through new ways of using LLMs to enhance human productivity.
Other item(s) of note…
McKinsey & Company published a nice overview on how generative AI might be applied in the Healthcare sector. For those of you interested in this area, it’s worth a look.
This is a bit technical, but GigaIO announced SuperNode, a 32-GPU AI supercomputer that runs on a single CPU. Such advances enable more powerful and less costly AI applications.
Google announced the coming release of its NotebookLM app, an AI-powered note-taking app that uses your own notes and documents to generate summaries, answer questions, etc. It’s not available to all (you need to join a waitlist), and I only played with it for a few minutes, but it’s definitely an example of how everyday productivity apps will be enhanced by LLMs and other AI technologies.
Coolest thing I saw…
Typically, this section features things with a broad appeal. The general release of OpenAI’s Code Interpreter plug-in for ChatGPT (scroll down to find its description) will appeal only to Python programmers. Since I am a Python programmer, this really appeals to me. Click here for a Medium article that demonstrates some applications.
For you non-Python programmers, how about a “soft robotic pump” that can be used to make cocktails? A team at Harvard’s John Paulson School of Engineering and Applied Sciences (SEAS) announced the creation of a “dielectric elastomer actuator-based soft peristaltic pump” that is small and powerful enough to be used in “soft robotics” applications, such as human wearables and food handling (which is where the cocktail-making comes in).

