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Shirt Without Stripes

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Re: Shirt Without Stripes

#161

Post by marcosdumay »

andrewzah wrote: post #76
scabarott wrote: post #56

Earlier quoted context omitted.

Huh? It's supposed to be the opposite, hence the "I"

The term has been bastardized. AI is now any app that uses if statements, so long as it's obscured to the user. So now "AGI" exists, because apparently the word "general" now means "intelligent", unlike "intelligence". At some point in the future marketers will learn about AGI, and we'll have to make yet another term, maybe artificial general practical intelligence?

AGI is some AI that isn't specialized in a single problem.

There is nothing on the word "intelligence" to imply it's not specialized.

Re: Shirt Without Stripes

#162

Post by shawnz »

michelpp wrote: post #144
packetlost wrote: post #88

Earlier quoted context omitted.

Why would you really apply NLP to a search engine though? Generally speaking a weighted keyword search is good enough 95% of the time and requires significantly less resources to perform.

Because you want to sell shirts without stripes to customers who want them.

I expect most users genuinely looking for such a product would just search "plain shirt"

Re: Shirt Without Stripes

#163

Post by gravitas »

packetlost wrote: post #88
meritt wrote: post #13

The point of this isn't asking how to apply boolean search operators, it's showing that the largest AI-focused companies in the world absolutely suck at NLP.

Why would you really apply NLP to a search engine though? Generally speaking a weighted keyword search is good enough 95% of the time and requires significantly less resources to perform.

Certain query styles which the NLP operators help clarify. Recent personal examples: "is butyl rubber an organic or inorganic compound?" and "which gloves are best for both acetone and nitric acid?"

Re: Shirt Without Stripes

#164

Post by 5cott0 »

ckarmann wrote: post #120
rgovostes wrote: post #23

The point that the author is making, in a very understated way, is that all three companies have PR websites that breathlessly describe their advanced AI capabilities, yet they cannot understand a very simple query that young children can.

Does Amazon pretends to do AI? They are just offering a platform to do your own Machine Learning. I don't think they ever said their search engine was doing anything smart. EDIT: scrap that, I didn't mean Alexa, which is doing AI obviously, but the search engine of Amazon's retail website. Anyway, NLP is hard and everyone sucks at it. Think about it: just building something that could work with any or any other way t…

alexa, downvote this.

Re: Shirt Without Stripes

#165

Post by ken »

bentona wrote: post #28

To me, the most interesting implication here is that this must not adversely affect Google's ad revenue. If it did, they would surely fix it. This, in turn, means that apparently we have been trained to interface with search engines such that this is not a problem. Sometimes I wonder how much my brain has changed to use search engines / how much of it is dedicated to effective googling. Makes me feel like a cyborg.

That statement was true of every past search engine, too. AltaVista must have been great and its severe limitations must not have affected revenue, or else they surely would have improved it.

Everything is for the best, in this best of all possible search engines -- the Candide fallacy.

Re: Shirt Without Stripes

#166

Post by speedgoose »

sulam wrote: post #15
alanbernstein wrote: post #5

Or you can do this: https://www.google.com/search?q=shirt+-stripes

The '-' operator stopped working for me with Google a while back. Not sure why, it's fairly frustrating.

They want to always return results even when they don't have any. So they will remove some of your query. This last week Google even returned months old results when I asked for the last 24 hours. It's so frustrating. I wish the Google team that decided this nonsense have to migrate Python 2 to Python 3 projects until they retire.

Re: Shirt Without Stripes

#167

Post by stuartaxelowen »

aerovistae wrote: post #123

This comment would go from "unreadable" to "interesting" if you had phrased it as: "Vaguely similar to a joke from _the movie_ Ninotchka that _the Slovenian philosopher_ Zizek often uses...." Give people context. Don't assume people know what you know.

This feels like a perfect example of how contextual natural language is!

Re: Shirt Without Stripes

#168

Post by natefox »

davesque wrote: post #89
Tade0 wrote: post #81

My Operating Systems professor (Tomasz Jordan Kruk, PhD) in college had an appropriate anecdote for this: "Humans usually don't intuitively understand the word 'no'. Please imagine a non-pink elephant."

Maybe you mean, "Please don't imagine a pink elephant." Imagining a non-pink elephant seems pretty easy.

Along these lines, I once heard somewhere that people do not process the word 'dont'. As a coach, I've had to shift my vocabulary to focus on the 'do's rather than the 'dont's

Eg: If you're doing a sport where leaning forward is bad, avoid telling yourself 'dont lean forward' as your mind only hears 'lean forward', therefore reinforcing the thing you're trying to avoid. Alternatively, tell yourself 'lean back' or 'stay straight' or whatever you're focusing on for that maneuver or drill.

Re: Shirt Without Stripes

#170

Post by Der_Einzige »

ckarmann wrote: post #120
rgovostes wrote: post #23

The point that the author is making, in a very understated way, is that all three companies have PR websites that breathlessly describe their advanced AI capabilities, yet they cannot understand a very simple query that young children can.

Does Amazon pretends to do AI? They are just offering a platform to do your own Machine Learning. I don't think they ever said their search engine was doing anything smart. EDIT: scrap that, I didn't mean Alexa, which is doing AI obviously, but the search engine of Amazon's retail website. Anyway, NLP is hard and everyone sucks at it. Think about it: just building something that could work with any or any other way t…

ML and AI are the same thing

You're right the NLP is hard, but not everyone sucks at it.

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