You’re right - but that world is not the end of the story. The intentionality matters. Human creations matter because they connect us. I don’t know how long it will take, but people will build judgement as to what makes for good use of these tools to make meaningful things and expand our creative horizons in deeply human ways. Mind you, there will always be shallow slop. It’ll just take time for creators to learn how to use these tools to make something that isn’t slop.

But they could have included an error factor in the designing process. I thought this was standard for manufacturing. And they could have done more robust testing which, again, I thought was pretty standard for manufacturing.

If you are seeing an agent missing tasks, work with it to write down the task list first and then hold it accountable to completing them all. A spec is not a plan.

>We can get far without worrying about the last 5-10%. The solutions for the last 5-10% could be fossil fuels in the short-term, long-duration storage as it matures, or easily storeable e-biofuels.

Sometimes good software is good due to a long history of hard-earned wins.

AI can help you get to an implementation faster. But it cannot magically summon up a battle-hardened solution. That requires going through some battles.

Great software takes time.

For many, even cutting their budget isn’t enough to pursue what you’re describing. Modern careers in software are very hard to reach for people who can’t afford to wait for a real paycheck, and it drives away a massive group of potential talent.

I truly don’t know how this is going to play out. Will the software industry just be a total mess until agents can actually replace developers? Or will companies come to their senses and learn that they still need to hire humans - just humans that know how to use agents to augment their work?

They are fundamentally about finding the content that will generate the most revenue. That changes the dynamics quite a bit.

Sure, she could have used the money she had put into social security to invest, and maybe would have come out better off. But for those of us who see how public services can enrich an entire society, there is irony to how this all played out.

Foundational models are not great for many specific tasks. Assuming that one architecture will eventually work for everything is like saying that x86/amd64/ARM will be all we ever need for processors.