51–60 of 592 posts
The reason AI fails in Industry is that SKILL.md or other knowledge-injection methods do not guarantee compliance. AI just thinks it "knows better".
This is going to be the norm across the board as the models have failed to live up to the hype. I do think LLMs and agents and all are great at helping you through tough problems but we aren’t there yet on getting them to do all the work while we just architect and design. Again, it’s close, and for your use cases you might be there already but for low level and big corporate lift and shifts, it’s not there yet. I ha…
It’s human in the loop over and over again tho
The reason AI fails in Industry is that SKILL.md or other knowledge-injection methods do not guarantee compliance. AI just thinks it "knows better".
A friend of mine prepared an arsenal of hooks and the like to address this and LLMs still disobey them at times. I don't have high hopes that there exists a bulletproof solution to this.
The folks who make the decision to throw away these engineers in the first place are the ones who should be laid off.
It’s a disease that has spread throughout all of capitalism.
But that’s USA 250 years.
The folks who make the decision to throw away these engineers in the first place are the ones who should be laid off.
Nice thing about the C-suite is that you get authority and compensation without responsibility. You just claim responsibility when things are good. And when bad, the underlings who have responsibilities but no authority take the heat.
In other words, they don't really have a plan, but they are happy playing with people's lives via layoffs, since it's the 'in' thing to do. The incentives are huge on the upside and zero on the downside for them.
The reason AI fails in Industry is that SKILL.md or other knowledge-injection methods do not guarantee compliance. AI just thinks it "knows better".