[Zer0]

- Separating the gold and gems from the stream of derivative drivel is left as an exercise for the reader...

Reminds me of ' Kids say the Darndest/Funniest Things ' .
(lol)

Linkletter, Cosby n Barrymore...& Innocent lil peoples.
(pure joy)


ps - no need to remind me of rotten, controversial n sad endings.

[hamdani yusuf]

If you mean creating useful materials, objects or ideas, it doesn't.

Creating ideas is easy. Just make up new random bits of information never used before. Creating materials and objects require access to physical world, which is being developed with embodied AI. By chance, we may find some of them useful. The AI can measure the usefulness of their new ideas through social selection, e.g. by like/dislike ratio of user's feedback.

[alancalverd]

skbldnk drvkug bwqpn zzicology

It is left to the reader to pick out the useful bits.

The best definition of industry I ever heard was "organising men, materials, machines and money to make stuff that people want." Note the last four words.

[hamdani yusuf]

skbldnk drvkug bwqpn zzicology

It is left to the reader to pick out the useful bits.

The best definition of industry I ever heard was "organising men, materials, machines and money to make stuff that people want." Note the last four words.

Do you notice that Edison tried and failed thousands of times before successfully produced technically and economically viable light bulbs? He might have thought even many more experiments which he did not continue to carry out because he expected they would fail.
We are prone to survival bias that we often forget that those who don't survive had once existed.

[alancalverd]

But he started with a specification of a product that people wanted (an electrical light source, safer than a carbon arc) and the knowledge that (a) thin electrical conductors emit light when sufficiently loaded (b) ambient air cools them (c) some materials oxidise at white heat and (d) some materials melt before they get to white heat. So the trick was to produce a refractory solid filament inside a glass vacuum chamber.

As I've said many times before, rocket science is two simple equations; rocket engineering is a lot more complicated. And thus it is with light bulbs.

[hamdani yusuf]

But he started with a specification of a product that people wanted (an electrical light source, safer than a carbon arc)

Then he needed to imagine things that hadn't existed yet.

[alancalverd]

....but being an engineer, he imagined things he might make with stuff that actually existed. It's about crossing the line between scientific curiosity (what happens if we do X to Y?) and invention (can I exploit that to make Z?) but X and Y aren't figments of anyone's imagination, and if there's no perceived demand for Z (in this case, a safe source of light) why bother?

[Zer0]

" Artificial intelligence could lead to the extinction of humanity, experts - including the heads of OpenAI and Google Deepmind - have warned. "

https://www.bbc.com/news/uk-65746524

[alancalverd]

Why bother? Religion, politics and climate change will make life unacceptable for the next 100-500 years anyway.

[Petrochemicals]

skbldnk drvkug bwqpn zzicology

It is left to the reader to pick out the useful bits.

The best definition of industry I ever heard was "organising men, materials, machines and money to make stuff that people want." Note the last four words.

Do you notice that Edison tried and failed thousands of times before successfully produced technically and economically viable light bulbs? He might have thought even many more experiments which he did not continue to carry out because he expected they would fail.
We are prone to survival bias that we often forget that those who don't survive had once existed.

That was a croat

https://en.m.wikipedia.org/wiki/Franjo_Hanaman

[hamdani yusuf]

skbldnk drvkug bwqpn zzicology

It is left to the reader to pick out the useful bits.

The best definition of industry I ever heard was "organising men, materials, machines and money to make stuff that people want." Note the last four words.

Do you notice that Edison tried and failed thousands of times before successfully produced technically and economically viable light bulbs? He might have thought even many more experiments which he did not continue to carry out because he expected they would fail.
We are prone to survival bias that we often forget that those who don't survive had once existed.

That was a croat

https://en.m.wikipedia.org/wiki/Franjo_Hanaman

Do you mean Edison didn't do failed experiments?

[hamdani yusuf]

Here's a simplified explanation of how ChatGPT works, and why it behaves the way it does.

Why Is ChatGPT Bad At Math?

Sometimes, you ask ChatGPT to do a math problem that an arithmetically-inclined grade schooler can do with ease. And sometimes, ChatGPT can confidently state the wrong answer. It's all due to its nature as a large language model, and the neural networks it uses to interact with us.

[hamdani yusuf]

I find this gem on Youtube, which explains how AI works for general public audience.
Artificial Intelligence: The Good, the Bad, and the Ugly - Yaser Abu-Mostafa

Jump to the:
- introduction by Professor Harry Atwater: 12:45
- profile video of Professor Abu-Mostafa: 16:55
- start of the lecture: 20:01

ChatGPT has rocked the general public's perception and expectations of artificial intelligence (AI). In this lecture, Abu-Mostafa will explain the science of AI in plain language and explore how the scientific details illustrate the risks and benefits of AI. Between the extremes of "AI will kill us all" and "AI will solve all our problems," the science can help us identify what is realistic and what is speculative, and guide us in our planning, legislation, and investment in AI.

[hamdani yusuf]

Here's another video explaining how ChatGPT works in a fun way.

ChatGPT is now the fastest-growing consumer app in human history. Problem is, almost no one knows how it actually works. This is everything you need to know.

[Zer0]

The " Noone knows how it Works " refers to the Black Box problem, Right?

[hamdani yusuf]

The " Noone knows how it Works " refers to the Black Box problem, Right?

Yes. But it may change in the future. Some research is developing AI models especially designed to explain decision making process of other AI models.

[evan_au]

I volunteer at a group providing computer skills for retirees, and today's topic was "AI".

The guy presenting on AI today asked ChatGPT and Bard to provide a description of AI. One of them even produced a lesson plan, with a time allocation for each topic!

One thing we discovered is that when a large number of people try to contact ChatGPT simultaneously from the same IP@, it gets suspicious, and starts asking for birthdates, email addresses and phone numbers (for 2-Factor Authentication).
- It obviously suspects an AI robot attack!

PS: Bard was a lot more forgiving - we ended up with half the group on ChatGPT, and half on Bard.

[alancalverd]

" Artificial intelligence could lead to the extinction of humanity, experts - including the heads of OpenAI and Google Deepmind - have warned. "

Unless someone ignores it or pulls out the plug.

Problem is that people don't ignore or remove human scum like Putin and religious parasites, and thus rush to start World War 3 and extinguish the innocent if not everyone. So if AI says "everyone who disagrees with this sentence is a fascist pig and must be killed" you  can be sure that Believers will try.

Plus ca change....

[varsigma]

Has anyone tried to use ChatGPT to solve an actual problem, like design a circuit, or solve a Rubik's cube?
I've heard it can trot out java code, maybe machine language too.

What ChatGPT is, is a restricted AI, it doesn't have internet access and what it learns, if that's what you can call it, is how to, I guess, represent what it does as meaningful, if not contradictory.

It seems to be able to focus on a particular subject in terms of well-understood language, but not be able to assess what it says, it doesn't appear to have any critical assessment capacity. It just parses questions in a particular idiosyncratic way. What it gives you are um, idiosyncretions.

I've noticed that it's not hard to tell it it has contradicted itself, and it always apologises.

[Zer0]

A tad bit Worrying...

Nobody knows how it Works.
Opens up the possibility of it Miscalculating.

If 99 times out of 100, it says 2+2=4, & gets it wrong once, is Totally Fine.

Can only Hope autonomous ai systems won't be deployed for Nukes.

99.999% accuracy with an Error margin of just 00.001% will be
Game Over!