there's a threshold in organization size that business folks will have so much influence on the tech that the tech just goes bad -- I think the solution is to architect software & organization structure such that they enable tiny startups within enterprises
the example seems to say this should work [https://social.ayco.io/api/v1/statuses?id[]=112486535533351427](https://social.ayco.io/api/v1/statuses?id[]=112486535533351427) but... it doesn't 🤔
“… the decentralisation in Bluesky is fake in practice, with the network depending on a huge centrally-controlled relay node. The identity server is also centralised.”
My DAC light indicator changes color when hi-res music is playing, I tried some “hi-res” files I found on the web but I think they just edited the metadata because my DAC doesn’t light up the right color.
AI-generated code are marketed to speed up development, and who doesn’t want faster development? Every level in the development chain wants this, and it won.
So tech was the foothold that gave AI a chance. But the big question is, does it really scale outside the coding use-case where facts are muddied and mistakes harder to spot?
To my tech friends, this is where AI criticism is coming from: it may work relatively well for our use-case but the powers are selling it in such a way that might influence