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Software Is Eating the World, But AI Is Going To Eat Software, Nvidia CEO Says (technologyreview.com)
An anonymous reader writes: Nvidia's revenues have started to climb in the recent quarters as it looks at making hardware customized for machine-learning algorithms and use cases such as autonomous cars. At the company's annual developer conference in San Jose, California last week, the company's CEO Jensen Huang spoke about how the machine-learning revolution is just starting. "Very few lines of code in the enterprises and industries all over the world use AI today. It's quite pervasive in Internet service companies, particularly two or three of them," Huang said. "But there's a whole bunch of others in tech and other industries that are trying to catch up. Software is eating the world, but AI is going to eat software."
You really shouldn't write headlines when you're stoned.
Yes, we're very much at the start of the new tech hype cycle https://en.wikipedia.org/wiki/... for AI. Let's see just how revolutionary and useful it turns out to be.
Almost 10 years ago I had an internship in a credit-card processing center. Many transactions were done over computer networks at that point, but there were still a few transactions done with "knucklebusters." This could either be because the store was remote or because it was a backup when the higher-tech point of sale devices were down. These machines made manual impressions of the bezeled credit card numbers. These impressions were then mailed to the office, where secretaries typed in the devices by hand. By the time I came there was a special internal application that extracted individual images of numbers, so that secretaries just had to sit at a desk, look at the number, and type up what number they thought it was.
"AI" (or computer vision techniques, or whatever) would make this task unnecessary, as a neural network could solve this with pretty much 100% accuracy. A couple of extra checks could prevent most mistakes. I know software, databases, and the Internet have swallowed up a lot of printed forms, but there's still a lot of human labor that involves finding boring patterns in reams of paperwork. Seems like "AI" has a lot of opportunities to automate these tasks.
I think the Nvidia CEO's been microdosing again. In large quantities.
You are welcome on my lawn.
Nothing we're seeing these days is actually AI.
Until I can have a conversation with an artificial entity that can reason abstractly to extrapolate experience to apply against novel concepts to which it is introduced, we're not there. (Technically, the conversation part is not required, but it's useful as a human interface)
We're seeing complex decision trees based on statistics, not AI.
I'd like to RTFA, but there is no link to TFA.
Anyway, it's bullshit. There's no reason why an intelligent computer would be any better at writing software than an intelligent human. More importantly, a intelligent computer might decide it doesn't want to write software.
All I want is a secure system where it's easy to do anything I want. Is that too much to ask ~~ Randall Munroe
Yeah, right. I said "make me a ham sandwich" and now I have mustard in my eye and you don't even WANT to know where it put the mayo.
We used to have a Bill of Rights. Now, with the rights gone, all we have left is the bill.
Is anyone going to post the XKCD? Alright, guess I'll grab it, here.
https://xkcd.com/1838/
Honestly, this is just a simple advertising effort to get people to buy their hardware. AI isn't about to about to eat software, it will be at least a century or two before we have intelligent machines. Until then the greatest thing neural networks can do is mimic existing software (a super niche need) or assist programmers in making software.
Anons need not reply. Questions end with a question mark.
I'm far from convinced that so-called 'AI' (LOL) is going to 'eat' anything (other than perhaps two-digit IQ venture capitalists' money), but if it's going to eat anything, I'd like to see it eat the jobs of tech pundits who have no bloody idea what they're talking about (and/or are talking out of their asses, just to get the aforementioned VCs' monies flowing in their direction); I think even the half-assed 'deep learning algorithms' (again, LOL) would do a better job than these fools who are continually running off at the mouth.
Indeed, most software is governed by business rules and being able to explain exactly what the system will do and why is essential. If say budgets over $100k need board approval, the someone has to program exactly that and nothing else. AI is great when the outcome is more important than the reasons behind it, like does this patient have cancer? If it can consult a huge database of cases and make millions of statistical weights we don't really care how it arrives at 83% as long as roughly 83 out of 100 patients end up actually having cancer. Then it's usually back to business rules for further examination/treatment though. More AI = more software work, not less.
Live today, because you never know what tomorrow brings
Magic is going to eat both of them. What the hell, right? They're all the same to a CEO. I'm sure AI is the silver bullet that will end all software, but magic is the silver bullet that is going to end AI! Because magic! You still have to tell an AI what you want, and a lot of those guys can barely form a coherent thought, much less put it down on paper. They're too busy synergizing their paradigms! Well magic solves that problem! You don't even have to know what you want! You just wave your magic wand and magic will make you crap daisies and unicorns! And isn't that really what they want?
I'm trying to teach myself to set people on fire with my mind... Is it hot in here?
Additionally, contrary to what Google and nVidia will tell you, there aren't *that* many people with a good idea of a useful goal even when they understand the principles.
Similar problem has afflicted 'big data', lots of people who know the principles and can do useless examples, not that many people who have an idea what to do with those techniques.
XML is like violence. If it doesn't solve the problem, use more.