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Comment by andreasvc | Hacker News Reader

I've never heard vaporware characterized as something that "could make a lot of sense"; how could it?

Plus I'm doubtful whether the data would be very meaningful. A bunch of people adversarially trying to figure out whether the AI is real is not representative or generally useful data.

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Microsoft Windows was vaporware for years. They famously did a "demo" that was just a manipulation of graphics. But Bill Gates correctly grasped that the future of the business rested on it and set about building the brand.

How does your N=1 anecdote show that vaporware makes a lot of sense? I'd say they got away with it, but not that it was a crucial factor in their success.

Because that N became the dominant computing company for a generation?

Apple was way ahead of Microsoft with windowing technology. Gates even offered to help Apple port it to the x86 architecture. He was content with being the dominant application developer, not the OS.

Jobs blew him off so he seized the opportunity.

Around the same time IBM was working on OS/2, which was a much better technology than Windows. Microsoft worked with IBM on OS/2, but then gaslighted them by "debuting" Windows 1.0

Edit: And don't forget how me VC pitches are about "what we're going to build" vs. "what we've already built."

Vaporware is not an optimal strategy, but in many cases it works.

Look I can see that it worked out well for them in the end. What I'm specifically disputing is whether the vaporware-thing was a causal factor contributing positively. If they actually had the software already and didn't need to fool anyone, things might've worked out even better. In that case things worked out despite the vaporware, not because of.

I think if you have the foresight to see a multi-billion dollar opportunity, and you're behind schedule, then you do everything in your power to grab that opportunity, including vaporware.

If they actually had the software already...

No one sets out to lie. Gates would've preferred to demo the real thing. But in the context of that market, "we'll release that in two years" is worse than vaporware if you want to actually own that market.

I think the data would be very useful considering a vast majority of users won't be using it in this way, also consider that people who query for things will learn the limitations of the system providing the information and adapt their queries accordingly. If you have a system capable of providing meaningful results to highly complex queries then you can start bridging the gap between how people interact with machines vs how they interact with humans.

> I've never heard vaporware characterized as something that "could make a lot of sense"; how could it?

but it isn't vaporware. It very much exist and works only it is possibly actively misleading about how it works.

It is vaporware, the whole novelty of it is that it is an AI, which it is not. "How it works" is the whole point.

"Do things that don't scale"?

I see it as similar to Uber building a system for scheduling self-driving cars before they have the self-driving cars.

They're expecting people to use it like Siri or Cortina or 'OK Google'

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