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by nopinsight 64 days ago
I don't think 'software brain' is required for non-coding tasks. Rather, it requires 'manager brain', the ability to delegate, direct, and review the output. Manager brain is more prevalent than software brain and likely learnable by many knowledge workers who don't yet have it.
6 comments

I think you still need software brain, because ultimately, this stuff still has limitations driven by software constraints, and having the AI try to explain it to them doesn't necessarily help.

I think we all have had experiences with people treating their computers as magic boxes and not understanding why certain requests simply are not possible to satisfy.

A growing number of non-technical managers are now using Claude Code to build small custom software. A larger share will use Cowork to automate routine business tasks. Claude Cowork will become easier to use and more automated over time, as it learns the user's preferences, just like a good executive assistant does.

Granted, it's possible that a majority of people will not acquire proper 'manager brain' either and we'll see how that pans out. Evolutionarily, managerial skills are much more aligned with what many hunter-gatherers might learn as they mature and become more of an advisor than a doer.

Even if only 10-20% of people end up using multiple autonomous agents regularly for their work and business, that will change the economy. Contrast this with <1% of people who develop software professionally.

You have to recognize that it's a problem to delegate in the first place. One example I love to trot out is, do you have any toilet seats in your life that kinda slide around bit and don't seem securely attached? It's absolutely trivial to fix this, and it's really annoying when it happens, yet with shocking frequency I encounter people who've just been dealing with the annoyance because they didn't process it as something they could solve.
It's not that easy to fix, and it can be kinda gross, and once it happens once, it tends to happen again in fairly short order. I'm someone that's fixed those loose seats countless times, and continues to do so, but the gap between me noticing it and fixing it is consistently growing.
You also need the brain of not giving up after 2/3/10 tries. I don't know what the exact numbers are but if something doesn't work properly after the second or third try a huge percentage of people give up.
How do you delegate, direct, and validate results if you have no idea what you're looking at?

This is the same issue many managers of people have for the same reason.

You’ve never tried to train the average admin.

Basic forms can be a challenge. Even things like selecting a dropdown menu or pushing a button can be surprisingly hard.

Most people here have no idea what works for the majority of people - who don’t want to spend time figuring stuff out.

I’m sure many here live in delulu land wondering why everyone doesn’t find the open claw stuff as fascinating as they do.

Yes. And that’s not a criticism of average people. Tools should fit the user not the other way around. Designs systematically removed shadows and visual clues. Developers render buttons off the screen requiring a scroll to submit. Hard to criticize the user under those circumstances. But there are people with art brains, and math brains, and software brains. So it may be the case that AI adoption is limited by how it expects the user to relate to the tool
The whole point of click and point (gui) was that one barely had to engage the brain vs using a terminal.

The ideal experience is where one’s resources are able to be allocated such that one can achieve some goal with minimal effort. We are very far away from this ideal with llm’s and absurd amounts of money has already been spent.