I wouldn’t even strictly say it’s being enhanced. My employer cut 5% under the pretext of AI efficiencies. Those efficiencies being forcing adjacent teams to absorb the responsibilities of the laid off teams and then pointing us to leverage “AI” to overcome the increased workload.

End result is unqualified and overworked individuals are telling enterprise customers effectively AI slop and customers getting increasingly frustrated. Sure the volume of output has been increased, but the quality has taken massive nosedive which customers are noticing. This has directly led to an increase in churn in Saas.

So the corporate solution to that? Force those same already overworked individuals to start tracking churn/sales risks when they are being presented to customers as their “service advisor”.

Read??? In this economy???

:(

I’m chronically bad at not marking emails as read and suffer the same bloat. For handing emails security codes and shipping notifications,I use Proton mails Sieve filters.

Specifically I make it where these type of emails automatically get deleted after 7-30 days based on subject

I have great success with local LLM in some of my workflows and automation.

I use it for my line completion and basic functions/asks while developing that I dont want to waste tokens on.

I also use it in automation. I run my own media server with a few dozen people with an automated request system “jellyseerr” that adds content. I have automation that leverages local LLM to look at recent media requests and automatically requests content that is similar to it.