fair — this post mapped the gaps without making the case for whether filling them changes what an agent can do. the interesting ones are procedural and prospective. both deserve their own post.
thanks for the read.
Thanks for writing this, and look forward to the one on procedural memory.
Seems like teams are encoding procedural knowledge in skills repositories, and I wonder if there’s additional utility from an auto created procedural memory layer
Hopefully I didn’t sound too critical of the post because this wasn’t my intention. The post delivered what was needed and thank you for this!
The reason I asked the question is because in the case we don’t need the rest, it would be better to not use this terminology for these systems. We already anthropomorphize LLMs too much and although I get the marketing value of that, it’s not always to the benefit of the people who interact with them.
Please do write the rest of the posts!