Low-code, no-model recommendation system with GPT3 • Hacker News Board

Re: Low-code, no-model recommendation system with GPT3

#51

Post by [deleted] » Wed, Sep 09, 2020, 2:54 PM UTC

plutonorm wrote: post #39

The_rationalist wrote: post #36

Earlier quoted context omitted.

Could you please give an explanation of panpsychism applied to software that make sense? Spoiler: you cannot and it's totally refuted empirically. If I code a hello world, what kind of cognitive abilities does this have? BTW I guess panpsychism researchers should start talking to rocks maybe one day they'll find one that is an AGI! /s

"Could you please give an explanation of panpsychism applied to software that make sense? Spoiler: you cannot and it's totally refuted empirically. If I code a hello world, what kind of cognitive abilities does this have?" You aren't making any sense, go read about the things you are talking about.

[deleted]

Re: Low-code, no-model recommendation system with GPT3

#52

Post by mattkrause » Wed, Sep 09, 2020, 2:56 PM UTC

The_rationalist wrote: post #25

matusp wrote: post #4

I am curious how much it actually thinks and how much it simply uses text from recommendation engines that got crawled.

A neural network can't think, please stop cargo culting neural networks

Still seems like an interesting question if you replace “think” with “inferred”, “learnt” (in the statistical sense), or any other synonym that’s in opposition to “memorized and parroted”.

Re: Low-code, no-model recommendation system with GPT3

#53

Post by mattkrause » Wed, Sep 09, 2020, 2:57 PM UTC

The_rationalist wrote: post #36

plutonorm wrote: post #33

Earlier quoted context omitted.

Panpsychism is a serious philosophical position.

Could you please give an explanation of panpsychism applied to software that make sense? Spoiler: you cannot and it's totally refuted empirically. If I code a hello world, what kind of cognitive abilities does this have? BTW I guess panpsychism researchers should start talking to rocks maybe one day they'll find one that is an AGI! /s

Suppose there’s a highly-detailed molecular dynamics simulation of every atom in your brain: every ion channel in every neuron, any neurotransmitters wafting about, and whatever other mechanisms might be relevant (ephaptic coupling?) for good measure.

This would be frightfully expensive to build and run (BlueBrain blew billions on a very stripped down version)l Nevertheless, it’s not obvious to me that this MD model wouldn’t “think” in the same way you do.

Re: Low-code, no-model recommendation system with GPT3

#54

Post by Klathmon » Wed, Sep 09, 2020, 3:10 PM UTC

m12k wrote: post #35

mparramon wrote: post #34

Earlier quoted context omitted.

Maybe the author's first language is not English?

Sure, neither is mine. But if you don't have the skills to proofread what you've written yourself, then get someone to help that has. I don't expect to be able to write something in Chinese deserving of a wide audience all on my own either.

A lot of people write content like this for nothing or next to nothing. If the bar to publish a blog post is "needs an editor" then there's a lot of content that simply won't exist any more, because people don't want to pay money to read blogs (at least I know I won't).

Re: Low-code, no-model recommendation system with GPT3

#55

Post by tastroder » Wed, Sep 09, 2020, 3:16 PM UTC

jwiley wrote: post #47

Very creative use of the technology. I wonder when GPT3 will evolve to handle more languages, and what if any steps they take to reduce cultural bias? If I was in Japan these recommendations would certainly be less useful. :)

Given this blog post I have no idea if it even works well for English. Sure, the demo video contains sensible recommendations but what gives? Most of those I've seen seem to be included in the training data shown in the image below. If you have the term "AI" in your blog's blurb readers might expect the author to actually perform an evaluation of stuff they write ads about.

Re: Low-code, no-model recommendation system with GPT3

#56

Post by dynamite-ready » Wed, Sep 09, 2020, 3:22 PM UTC

ClearAndPresent wrote: post #43

jonathanstrange wrote: post #40

Earlier quoted context omitted.

Personally, I don't care about form if I find the content interesting.

Form is content, content form. How you do anything is how you do everything. Errors in grammar and syntax indicate errors in thought and care.

That is quite probably untrue, and I'd wager many best selling and critically acclaimed books contained a number of 'howlers' on the publication of their first editions.

Re: Low-code, no-model recommendation system with GPT3

#57

Post by satorii » Wed, Sep 09, 2020, 3:25 PM UTC

m12k wrote: post #32

"Recommendation system is so successful in many products and services we interact everyday" -> "Recommendation system[S] [ARE] so successful in many products and services we interact [WITH] every[ ]day" I'm sorry, but four errors within the first sentence is just not good enough - did the author even read this themselves just once before hitting publish? Show just a little bit more respect toward the people who give…

Thanks for pointing out the errors. I got them fixed in the blog. This is also a good use case of GPT3, checking grammar and spelling. I might build an application for this.

Re: Low-code, no-model recommendation system with GPT3

#58

Post by m12k » Wed, Sep 09, 2020, 4:27 PM UTC

satorii wrote: post #57

m12k wrote: post #32

"Recommendation system is so successful in many products and services we interact everyday" -> "Recommendation system[S] [ARE] so successful in many products and services we interact [WITH] every[ ]day" I'm sorry, but four errors within the first sentence is just not good enough - did the author even read this themselves just once before hitting publish? Show just a little bit more respect toward the people who give…

Thanks for pointing out the errors. I got them fixed in the blog. This is also a good use case of GPT3, checking grammar and spelling. I might build an application for this.

Thanks for fixing them - and sorry if I was overly harsh. Sharing your writing with the world is nerve-wracking enough already without having the spelling and grammar shot down on HN. Truth be told, my first thought was "maybe this is some example of text created by GPT-3?" But I think you're right that it would actually serve well as a combined spelling and error checker to catch things like that - I hope you do build an application for it, that would be neat.

Re: Low-code, no-model recommendation system with GPT3

#59

Post by jkinudsjknds » Wed, Sep 09, 2020, 4:31 PM UTC

satorii wrote: post #57

m12k wrote: post #32

"Recommendation system is so successful in many products and services we interact everyday" -> "Recommendation system[S] [ARE] so successful in many products and services we interact [WITH] every[ ]day" I'm sorry, but four errors within the first sentence is just not good enough - did the author even read this themselves just once before hitting publish? Show just a little bit more respect toward the people who give…

Thanks for pointing out the errors. I got them fixed in the blog. This is also a good use case of GPT3, checking grammar and spelling. I might build an application for this.

Probably not. Current spelling and grammar checkers are quite good and are deterministic. A black box neural net could hide huge unexpected edge cases.

Re: Low-code, no-model recommendation system with GPT3

#60

Post by bausano_michael » Wed, Sep 09, 2020, 5:40 PM UTC

matusp wrote: post #4

I am curious how much it actually thinks and how much it simply uses text from recommendation engines that got crawled.

Slightly related excerpt:

"Supporters of the Strong AI Hypothesis insisted that consciousness was a property of certain algorithms – a result of information being processed in certain ways, regardless of what machine, or organ, was used to perform the task. A computer model which manipulated data about itself and its ‘surroundings’ in essentially the same way as an organic brain would have to possess essentially the same mental states. ‘Simulated consciousness’ was as oxymoronic as ‘simulated addition’.

Opponents replied that when you modelled a hurricane, nobody got wet. When you modelled a fusion power plant, no energy was produced. When you modelled digestion and metabolism, no nutrients were consumed – no real digestion took place. So, when you modelled the human brain, why should you expect real thought to occur?"

— Permutation City by Greg Egan