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1. Tohhou+(OP)[view] [source] 2023-11-18 07:55:13
You must not use AI if you think this. AI is not the bubble. Everything AI will replace is the bubble.
replies(2): >>lazyst+I >>claude+92
2. lazyst+I[view] [source] 2023-11-18 08:02:17
>>Tohhou+(OP)
AI art is already boring. its all a fad, eventually the cracks start to show and you can't unsee those cracks. very similar to bitcoin. tbh.
replies(3): >>Tohhou+l1 >>eureki+Y2 >>Camper+5S1
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3. Tohhou+l1[view] [source] [discussion] 2023-11-18 08:07:20
>>lazyst+I
You're one of the ones who used to call bitcoin "buttcoin" didn't you? Very sure of yourself, very wrong.
replies(4): >>carste+B2 >>lazyst+I2 >>9dev+O4 >>smcl+Vb
4. claude+92[view] [source] 2023-11-18 08:15:19
>>Tohhou+(OP)
AI today is in a weird position. What I can do today with AI was _inimaginable_ just 1 year ago. However, for a lot of people, the concept has worn out so fast, that they don't realize anymore what has happened... Some very intelligent people said some very silly things, such as that it was a bad search engine (it isn't a search engine) that it was a glorified word guesser (it doesn't exactly work as your telephone word suggestion). And so on and so forth. People always try to understand new technology through the lense of older technology. I do it, you certainly do it. This is how we grasp novelty. But AI is in a different dimension. I have been working in the domain for 30 years and I really didn't think we would reach this level in my life time. Talking to a computer to bring it to make some quite complicated task is INCREDIBLE... However, since communication is really ubiquitous for Humans, we tend to forget that it is an incredible achievement... In less than a year, we went for Scify ("Her") to reality, and in less than a year people have become blasé for something so fantastic... This is what consummerism did to people... They can't wonder more than a year...
replies(2): >>ncruce+a6 >>calf+hc
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5. carste+B2[view] [source] [discussion] 2023-11-18 08:19:20
>>Tohhou+l1
Seeing btc is still quite useless apart from a few legitimate reasons, otherwise mostly being used for illegal purposes: yes, btc is a failure.
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6. lazyst+I2[view] [source] [discussion] 2023-11-18 08:20:31
>>Tohhou+l1
after i lost everything in the mtgox scandal, i used my last bitcoin to buy a lenovo thinkpad, which i used to learn computer programming and network engineering.
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7. eureki+Y2[view] [source] [discussion] 2023-11-18 08:22:51
>>lazyst+I
The interesting to boring scale depends on novelty. Given the ai oversaturation it works exactly as expected.

AI Art is currently in very early stage. In the real art space (3d modeling, sculpting, animation, vfx, animation, rigging, retargeting), it could make huge breakthroughs and multiply true artists' productivity in significant ways

replies(1): >>nottor+57
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8. 9dev+O4[view] [source] [discussion] 2023-11-18 08:39:33
>>Tohhou+l1
Oh, you mean because Bitcoin didn’t turn out as a stupidly-high risk speculation object without any value rooted in reality, wasting a sizeable portion of the power production of a world threatened by the climate crisis, swinging between orders of magnitude in valuation on Elon‘s whims? The Bitcoin that is irrelevant everywhere else but the crypto bubble itself?
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9. ncruce+a6[view] [source] [discussion] 2023-11-18 08:52:19
>>claude+92
It's a wonder. But if capex and opex are insane, and go up with every generation, the magic fades quickly.

Like, GitHub Copilot may be amazing, but if it looses money for every added user, if power users loose the company 4 or 8 times what they already pay, then maybe it's not an efficient use of compute resources.

replies(1): >>code_b+h8
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10. nottor+57[view] [source] [discussion] 2023-11-18 09:00:02
>>eureki+Y2
I've noticed that those who worship productivity tend to appreciate "content creators" not artists :)
replies(1): >>eureki+Gc
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11. code_b+h8[view] [source] [discussion] 2023-11-18 09:08:30
>>ncruce+a6
Yes, this. What made tech companies valued at higher revenue multiples than other industries is that new users could start using a product at near zero marginal cost once the tech was built. New revenue at zero marginal cost. AI is great but expensive to operate and the expense grows in direct proportion to usage. New users come in and you have to stand up a new data center full of H100s to serve it.
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12. smcl+Vb[view] [source] [discussion] 2023-11-18 09:41:11
>>Tohhou+l1
Come on man, we're all on the AI hype train now. Get with the program, you're one bubble behind!
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13. calf+hc[view] [source] [discussion] 2023-11-18 09:43:25
>>claude+92
> Talking to a computer to bring it to make some quite complicated task is INCREDIBLE...

Are there any good examples of this? I struggle to use ChatGPT, maybe I'm using it not cleverly (or deeply) enough.

replies(1): >>claude+tn
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14. eureki+Gc[view] [source] [discussion] 2023-11-18 09:48:25
>>nottor+57
During my brief venture into 3d graphics I often found that 1 hour of truly creating is spaced between ten hours of fixing up UV's, redoing topology, finding cause for the seam, trying to make a watertight mesh for photon tracing, fighting the subdivision algorithm to retain details, diverting a edge loop, where it causes the less distress.

I call the first hour true productivity. The last part is, from the perspective of the end product, simply a wasted time. That's very similar to the boilerplate code everybody agrees is a necessary evil in the programming.

If AI allows to reduce the #2 it truly will have positive impact

replies(1): >>nottor+Zy
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15. claude+tn[view] [source] [discussion] 2023-11-18 11:18:33
>>calf+hc
Recently I had to share a documentation written in Word, which I had to format in Markdown to put it on Github. I transformed my document into a text file for each chapter and then I asked chatGPT to transform each of these files into a Markdown page. And I also asked it to improve the English. Then I asked chatGPT to translate each of these files into different languages. The result is here: https://github.com/naver/tamgu/tree/master/documentations Basically, I did in a couple of hours, something that would have taken weeks of tedious work
replies(1): >>calf+fw
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16. calf+fw[view] [source] [discussion] 2023-11-18 12:21:05
>>claude+tn
OK then that's tedious work, not complex work.

I know that lots of people have personal stories of using ChatGPT but I was hoping something publicly reported on or like a showcase of truly impressive usages somewhere.

replies(1): >>claude+eZ
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17. nottor+Zy[view] [source] [discussion] 2023-11-18 12:39:46
>>eureki+Gc
It's interesting how some terms we use reveal our world view. What does referring to art as "product" imply?
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18. claude+eZ[view] [source] [discussion] 2023-11-18 15:19:27
>>calf+fw
You are kidding right. Taking a raw text file and detecting every single header, sub-headers, keywords and pieces of code to add the right markdown tags is a simple task to you?

Have you ever tried to make a Python program to do exactly that?

I only used couple of sentences to build my prompt...

replies(1): >>calf+ee2
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19. Camper+5S1[view] [source] [discussion] 2023-11-18 20:17:00
>>lazyst+I
"This radio thing is a dead end. I usually just get a bunch of static when I turn it on, or maybe an electrical shock. And even if it works, it's only a question of whether a tube burns out before the battery dies." - lazystar's grandpa, circa 1923
replies(1): >>lazyst+0p2
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20. calf+ee2[view] [source] [discussion] 2023-11-18 22:25:30
>>claude+eZ
No, what is the computational complexity of the task? The computational complexity of the problem is not about how long your code is or how long you took to write it.

I don't know your CS background but perhaps I do not view the terms "complex" and "tedious" the way you assume. A tedious parser is certainly tedious to write, but it is not (necessarily) complex. And from an engineering standpoint it is questionable that you lost all the formatting information from Word, which would have already demarcated what things were headers, code, and so forth. So, you had to use a roundabout way—an LLM—to recover that information from the semantics.

If what you're really arguing is that ChatGPT works well for language translation tesks, in this case translating mixed prose, code, and foreign languages--sure I guess that's great at productivity and removing tedium, but it's not that surprising a usage given what LLMs are. They are language translators.

In other words you're saying it's complex but your argument reduces a task that is straightforward but tedious for humans, to the problem complexity of natural language processing.

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21. lazyst+0p2[view] [source] [discussion] 2023-11-18 23:21:24
>>Camper+5S1
as i mentioned earlier, i was one of the first generation of bitcoin users. the problems with it have yet to be fixed.
replies(1): >>Camper+Au4
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22. Camper+Au4[view] [source] [discussion] 2023-11-19 16:14:05
>>lazyst+0p2
This isn't bitcoin. It's radio.
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