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by echelon 1226 days ago
I'll bet you that everything you just outlined as being "hard" will see startups launched and successful within 5-10 years.

> The hardest parts of software are nailing down requirements, scheduling work, and fitting square pegs into round holes for legacy systems at a conceptual level.

Then why do we hire PMs and have engineering ICs? The only reason any of this is hard is because 1) there are a lot of stakeholders and moving pieces and 2) humans are subject to context switching productivity losses. Machines will absolutely be able to inject themselves into these business processes and chip away at our inefficiencies.

I bet you you're wrong. I quit my $400k+/yr TC job to focus on AI because I believe in this so strongly.

Let's check back in five years.

2 comments

Don't bother betting other people. Your entire life savings should be invested in AI right now with your level of confidence.
That's more or less what I'm doing.

I'm hiring, btw.

How do you expect to make a difference without having a mega-server farm to train the Next Big Thing?

From what I’ve seen so far the ‘impactful’ models take tons of cash to initially train, tons of cash to continue to train and tons of cash to provide “free” access to the public to get the hypetrain chugging along.

Not criticizing but this is what I think people should be worried about, the “future” locked behind a handful of super rich corporate firewalls. Not even mentioning they have real-time data feeds on virtually everything they can pump through their AI for whatever purposes they can dream up. And I’m not even paranoid…

> Machines will absolutely be able to inject themselves into these business processes and chip away at our inefficiencies.

Actually, this I agree with. Chat bots in their current form would help bridge technical knowledge gaps between stakeholders.

Whether it would significantly lean up the less technical staff seems unlikely. Getting rid of engineering is even less likely.

> there are a lot of stakeholders and moving pieces

Yes. There are so many extending all the way out to internet discussions like this one and beyond to consumers, investors, etc... I think all this discussion is necessary to actually making anything of value. Will consulting chat bots instead of hacker news be the future, or is that where we admit there's something pathological going on?

> humans are subject to context switching productivity losses

I don't think letting people figure out what they want is a "productivity loss".