... layers on several SaaS products to support hybrid free/paid at scale. It's non-trivial to do right without the right backend structure. Happy to dig into specifics if anyone's wrestling with this. I'm a full-stack dev (NestJS/Node/React) who works with early-stage SaaS founders zeescript.com Comment from Felix Harper(@felix_harper): I think the hardest part is not defining free vs

... reasoning, or tricky knowledge. But for AI, the definition might be different. Some things that feel easy for us can be surprisingly hard for models, while things that seem tough for us (like scanning huge datasets quickly) might be trivial for them. So, I m curious how do you think about this? What do you consider a complex problem when working with LLMs? Comment from Marcello Cultrera(@marcello_cultrera1): Hi @cyberiaa , complexity in human terms is multi-step reasoning, abstract ... ... logic, contextual variation but this isn t always what s complex for a language model. LLMs excel at pattern recognition across vast datasets, so tasks like summarising thousands of documents or generating boilerplate code can be trivial

... accidentally deleted a really critical note and there was no recourse), but generally, I like everything else. I've heard lots of people talk about @Obsidian , but I've been reluctant to explore it because it seems non-trivial to set up syncing, and I'm dreading making the transition (I never transitioned my Evernote notes due to lots of rich media - audio notes... so my augmented memory is kinda split between pre-2016 and post-2016). So... should ...