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Advancements in machine learning for machine learning

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Re: Advancements in machine learning for machine learning

#31

Post by quickthrower2 »

impegh wrote: post #28
educaysean wrote: post #22

Earlier quoted context omitted.

I'd say advancement in mathematics, computer science, and heck, even art is far from "pointless". Why does it feel like goalposts get moved everytime there is a significant progress in AI?

I read this same empty “goalposts” lament multiples times a day when reading this website, and though I know what the words mean I’m confused what you all think they mean. https://hn.algolia.com/?dateRange=all&page=0&prefix=false&qu... Is this just some performative grousing or do you really think what has been developed to date is “artificial intelligence”? These comments all conveniently fail to define their author…

Well for it to be Artificial and convey Intellgence. I think that goal has been met!

Re: Advancements in machine learning for machine learning

#33

Post by DeathArrow »

RyanShook wrote: post #4

The pace that ML seems to be advancing right now is amazing. I don’t believe in the singularity but it’s changing software and then society in ways no one can predict.

For me it's just another gold rush after dotcom, mobile, cloud, VR.

Re: Advancements in machine learning for machine learning

#34

Post by fjkdlsjflkds »

smabie wrote: post #24
SirMaster wrote: post #11

Earlier quoted context omitted.

I don’t see why not. I like programming how I do now. I don’t plan to stop. People do lots of things manually that machines have been able to do for a long time.

And they generally get outcompeted sooner or latter. All disciplines evolve over time and those who fail or refuse to keep up will be left behind.

Just because you can have a robot/machine that can efficiently churn out 1000 frozen lasagnas a second doesn't necessarily mean that italian restaurants have been "outcompeted" or "left behind" by not using such a machine in their business.

Sometimes quality and responsibility matter. Even if a machine is really good at producing bug-free code, often someone is going to have to read/understand the code that the machine produces and take resposibility for it, since machines cannot take responsibility for things.

In the end, you'll always need a human that understands the formal algorithmic language (i.e., a programmer), capable of parsing the formal program that will be run, if you want to be able to trust the program, since any way of mapping an informal request (described imperfectly in an informal language) to a formal construct is always going to be "lossy" and prone to errors (and you'll know this if you ever used an automatic code generator). Just because someone is willing to blindly trust automatically-generated code, doesn't mean everyone else is: there are contexts in which you need a person to blame, when things go wrong.

Re: Advancements in machine learning for machine learning

#35

Post by valine »

euos wrote: post #26
greatpostman wrote: post #6

Earlier quoted context omitted.

I really don’t people will be programming like we do today in five years

I’ve been programming since middle school. That would be 30 years. Nothing really changed much. C++ is incrementally more convenient but fundamentally the same. Code editors are same. Debugger are same. Shell is same. I am certain in 30 years everything will still be the same.

The way I write code was fundamentally altered in the last year by GPT4 and copilot. Try having GPT4 write your code, you won’t be so certain about the future of programming afterward I guarantee it.

Re: Advancements in machine learning for machine learning

#39

Post by F-Lexx »

quickthrower2 wrote: post #31
impegh wrote: post #28

Earlier quoted context omitted.

I read this same empty “goalposts” lament multiples times a day when reading this website, and though I know what the words mean I’m confused what you all think they mean. https://hn.algolia.com/?dateRange=all&page=0&prefix=false&qu... Is this just some performative grousing or do you really think what has been developed to date is “artificial intelligence”? These comments all conveniently fail to define their author…

Well for it to be Artificial and convey Intellgence. I think that goal has been met!

How do you define intelligence?

Re: Advancements in machine learning for machine learning

#40

Post by soundarana »

anu7df wrote: post #18
syndicatedjelly wrote: post #3

[flagged]

Good god. Anyone else who is curious about the human centipede, please don't Google it. Trust me on this one.

You might want to google the South Park version of the human centipede, now that you know.
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