Post

(DLSS isn't agentic AI of course, but it is based on machine learning)

Though that is more due to media (including, but not limited to, social) enshittification. There's little newsworthy in finding out that Agent implementation is a costly project, requiring heavy organisational and IT/Data change management. Especially, as the tech has been advertised as magic.

Linear, GitHub, and Astro/Eleventy are more likely. Atlassian's cash grab schemes for anything related to AI might become a costly mistake, if we get to level 2 or 3 autonomy in development. (Levels here asdlc.io/concepts/lev...)

Human energy not ‘energy’ energy, cause it sure ain’t saving that.

I was on a call where we were discussing how liability for credit card transactions will work if a customer asks the agent to reorder dog food and ends up with a 100 lbs of ground beef overnighted from Argentina for $15k or something. It was distressingly complicated and ambiguous.

Which could probably be replaced by it's own specific program or app that would be better/more accurate, if anyone cared enough about chronically ill people to do it. 🫠 But, that's asking a lot these days.

I'm nominating this as the most insightful conversation on AI for 2025.

I found ChatGPT incredibly useful when my tech-illiterate self wanted to switch from windows to Linux. Useless for nearly everything else though

I've posted about how AI machine learning has saved me vast amounts of time doing menial redundant tasks in visual effects. No prompts, no data scraping, (no carpel tunnel for me) but it's hard to get anyone to understand that there are practical uses for it beyond stealing art and spreading misinfo