In my review of the AZ-900 course, I complained that it was overly theoretical and that more exercises would have been beneficial for reinforcing key concepts. The more practical nature of AI-102 confirms the correctness of my intuition.
Systematicity refers to the apparent structured nature of cognitive abilities: if a cognizer can entertain one thought, it can typically entertain others that are structurally related.
For example, if it can infer P from P&Q, it can also infer P from more complex disjunctions like P&R&Q. Likewise, if it understands that a loves b, it can typically also understand that b loves a, reflecting a sensitivity to structural transformations.
If a cognizer understands John Loves Mary, it also understands Mary Loves John. Similarly, if a cognizer can perceive a red triangle on top of a blue square, it can also perceive a blue square on top of a red triangle.
I have recently been reading some of Montaigne’s essays again. I think that there is a lot in his work that is relevant to present discussions about AI. For example, he frequently warns against anthropomorphism. Could engaging with his essays and learning more about his reservations in this respect offer us an interesting perspective on our own practice of doing so in the case of AI? I think so, and I might explore this and other topics at a later point. Here I’ll be interested in something a bit more fluffy.
In their recent insights report Six Key Dimensions for Succesful AI Adoption, Implement Consulting Group introduces the concept of GPT hesitancy to explain the caution underlying adoption rates.
GPT hesitancy, Implement suggests, stems from two conflicts. One personal, the other inter- and intraorganisational. I won’t have anything to say about the latter here.
The first reflects an internal tension between the desire to benefit from the productivity and quality gains that AI offers with the fear of appearing less competent to colleagues by relying on AI, a practice sometimes perceived as a form of cheating.
DEVONthink has been my weapon of choice for years when it comes to organizing information on my computer. I recently changed to Linux, I need an alternative. I decided to build one myself. Here I try to record my considerations and learnings.
What to Build
I decided that I wanted to create a CLI semantic search tool that can also be used in lf to rank a variety of text files in ascending or descending order.