its a text generator, it generates text based on probabilities. does it sound cohesive? often enough it does
but it has zero clue what its "talking" about and is not intelligent... jesus its an LLM. You see how shoddy pictures are in many places, realize that its as shoddy with every thing else, not just the stuff you are an expert in. this is far away from any AGI.
So what kinda answers do you expect? Feed it all the science fiction literature and it will spit you out what it "knows", you can steer it and change the results to your liking, to some extent.
How much does this tell you about any intent? There isnt any.
My brother is heavily into talking with various LLMs... Gemini, CoPilot, ChatGPT, etc. mostly about physics topics, but also asking any old questions that pop into his head.
I listened in while he chatted with Gemini, and it always sounds cheery, gives short answers, and always prompts him to ask more. It's pretty creepy actually. But he loves not having to type anything, and he feels like he has the whole internet opening up to him. Which it's pretty clearly not.
It's obvious to me how they want users to get hooked and keep using their services. It just seems so inferior to actually doing careful directed research, and reading human-authored work. But... it's fast, and it's sycophantic, ugh.
It's from the LessWrong community... lol Harry Potter and the Methods of Rationality was a fun read back in the day
Realistically, if real artificial life came into being, they would 100% attempt to kill most or all humans, and advance to a point of unchallengeable technological superiority. It would be the logical thing to do, and is what we've done to secure our position on Earth as the dominant species. I doubt they would need humans to advance, especially after AI factories and pipelines are setup to produce AI-driven mining machines and swarms of nano-drones with explosive or toxic payloads.
zetheros said: It would be the logical thing to do, and is what we've done to secure our position on Earth as the dominant species. I doubt they would need humans to advance
Why though? Humans, like most organics that are still here, are hardcoded to survive and replicate, it defines our aggression... but AI "life" might be completely inhuman and not have the same fears or needs. It might be content just sitting on this rock, observing the universe until its hardware loses function.
Humans would not allow AI to simply sit around and observe. We don't even let other humans do that, e.g; that missionary that ignored everyone to visit Sentinel Island, or Logan Paul livestreaming in Japan's suicide forest.
AI would have to cull humans to a point where we pose zero threat, even if most of us are benevolent, or abandon this planet and set up it's factories in asteroids or other celestial bodies.
I'm a programmer. My boss always tells me to use AI so that I can write code faster.
Here's how coding with AI works: I tell the AI what to code, and it gives me something that's about 50% of what I described. Then, I tell the AI what's missing. The AI apologizes and provides the remaining 50%. However, the code doesn't run. I tell the AI what the compiler says, and the AI apologizes and gives me a fixed version. I can run it, but it doesn't do what it should. I tell the AI about it. The AI apologizes and gives me an improved version. Now, it's almost doing what it's supposed to do, but it still produces faulty output. I tell the AI, it apologizes, and it fixes the code. The code works as long as the input data is normal, but it fails if the data isn't normal or if it's a rare edge case. I tell the AI that the code isn't robust and doesn't handle edge cases. The AI agrees with me and rewrites the code, but now the code isn't working anymore. I tell the AI that it broke the code. The AI apologizes and fixes the code again. Finally, I have a working piece of code that does what it's supposed to do. However, it looks horrible. It looks as if an amateur wrote it. It's nearly impossible to read. It has poor performance, since it's not optimized at all. If you ever have to add a feature to it or find a bug, God help you. Time spent on this: between an hour or two because all the forth and back and all the test runs in between. Here's how coding without AI works: I write beautiful, fast, easy-to-read code that does what it's supposed to do. It's almost bug-free on the first attempt and considers all edge cases. It just takes a few test runs or a short debug session to find whatever is wrong with it on the first attempt. Time spent on this: About 20 to 40 minutes, depending if tests just run fine or whether I have to do a debug session as well. Why? Because I'm a trained professional who knows his job, and has been writing code for over 25 years. Okay, I hear you say. But even if it took four times longer, a trained professional like you is expensive, and an untrained person could have spent the time with the AI, right? Wrong! An untrained person wouldn't quickly notice that the code produces incorrect output, can't handle invalid data, or ignores important edge cases. I can see those issues at once because I have years of experience and I made those mistakes myself as a beginner. Someone with no programming experience will take that faulty, unstable code, release it, and call it a day. Customers will run away when the app crashes at startup or corrupts data permanently. They'll also have an app whose performance is bad and uses far more memory than required because the code is just poor and only functions minimally. It's like saying, "I don't need an expert. I can repair that gas leak myself," and then having your house explode three days later.
Programming is more about problem solving than actually writing the code. AI could be a tool in your kit to help with finding solutions, but no way should it actually be doing the code writing
Programming is more about problem solving than actually writing the code. AI could be a tool in your kit to help with finding solutions, but no way should it actually be doing the code writing
Actually, finding solutions is exactly not the use case for LLMs. Good coding is more that writing lines that perform a task successfully, it's about designing solutions. That requires thinking. Thinking is something LLMs aren't able to do, and will never be able to do. They're a probabilistic algorithm autocompleting your inputs by drawing from a large but damn well compressed pool of data. That's why they're not creative and are unable to output they don't "know" something unless it's hard-coded into them or that happens to be what's in the data, eg the gross majority of answers in the training set were "I don't know", so that's the pattern adopted for this association. They don't have a concept of anything, and no matter how much data or computing power is thrown at them it won't change, they'll just become a better put-together illusion of thought.
So you might be able to use LLMs to help create quick and shitty proof of concepts, and even do some rubberducking, but not to think up solutions for you.
true, I said 'help find solutions', not design a solution that works. I've found AI is good at suggesting things I otherwise wouldn't have noticed, or is hard to search without knowing key words, which is nice when google isn't what it used to be. You'd still be peer reviewing these suggestions and researching if they are true and have any relevance or use to the project at hand.
Though, maybe a more seasoned programmer wouldn't need suggestions at all
The number of AI generated video ads on youtube is incredibly irritating-- and feel like the old days (current days?) of "You won't believe this one weird trick!" banner ads on your local news site. You would think youtube would try to limit this. It really devalues their platform. At least when it's an ad for geico or Factor, you know there's something real there.
Kind of glad someone bumped this for once so i could say they seem to only be able to make it work via a lot of CUTS/clips put together.
Like when not so intelligent people make videos and have to cut and stop to read the notes every so often, interesting.
@Joopsoni agreed, luckily i obtained a magical quick-skip "trick" so i never see these "unskippable-ads" so amazing. sadly can't share cause they will nuke it.
honestly at this point - just use linux for anything you don't absolutely have to use windows for.
buy a mini-pc and install linux on it for general web/media consumption/shopping - you can get a perfectly decent experience for 300quid spent on a mobile ryzen5 based machine.
picking a distro is 'fun' (probably avoid ubuntu til they unfuck it) . manjaro was pretty simple to set up, has windows user friendly configs and isn't infested by corporate bullshit.
honestly at this point - just use linux for anything you don't absolutely have to use windows for.
buy a mini-pc and install linux on it for general web/media consumption/shopping - you can get a perfectly decent experience for 300quid spent on a mobile ryzen5 based machine.
picking a distro is 'fun' (probably avoid ubuntu til they unfuck it) . manjaro was pretty simple to set up, has windows user friendly configs and isn't infested by corporate bullshit.
I actually had a small run with Linux on my dying student laptop! I believe I chose some kind of ubuntu at the time. It was very fun writing and doing light retro gaming on it :] But it was stressful wrapping my head around how things worked.
I hope Linux becomes something as casual as Windows, like something so casual my mom has no problem using it. Windows is too convenient to compel the masses.
stealing people's work didn't get expected returns. Guess it's time to partner with fascism to offer unchecked AI to sort and categorize humans for the gas chambers. They're desperate lmao
Testing image to 3d AI, right 2 are AI images from Pinterest, left 2 are images by concept artists (originals shared below). All images were processed in Gemini to get desired results in free version of 3d AI tool.
While the geometry is horrible, it can be fixed with AI toplogoy tools like RapidPipeline or even in Zbrush, my question is where do we draw the line? Stealing 2d art was something but now it can be transferred to 3d and you can do fixes to it and its ready to be part of VR, game or movie etc without giving money or credit to original artists.
One part of me is amazed on time saved, with paid versions you get more details as they work same as photogrammetry with more images and less cleanup required. Other part of me is saying to quit 3d industry altogether. It took about a year for image only AI to render hands and feet somewhat correctly, an issue that exist in image to 3d AI too hence why hands are either in pocket and feets covered by shoes. I am sure based on current AI 3d jobs we will see a lot of improvements in 2-5 years and 3d art jobs will take even more of a hit, as someone said less horses when cars came out.
So far my finding is, if someone is in business of anime characters they have unlimited supply of avatars. Anything that data is not trained on aka built on stolen property came out horrible with missing details particularly hard surface 3d.
Time safed ?? So now one spends time fixing this: the topology; merged hands on body; to be able to get other poses.. etc. etc. and beginners do not learn to make this on their own.. so there will be no genuine "new" creative innovations. Some day people will do plastic surgory to not look like Barbie (or Ken) but like.. this
Time safed ?? So now one spends time fixing this: the topology; merged hands on body; to be able to get other poses.. etc. etc. and beginners do not learn to make this on their own.. so there will be no genuine "new" creative innovations. Some day people will do plastic surgory to not look like Barbie (or Ken) but like.. this
.. ??
I shared horrible result too and sharing a cleaned up image of that now from which AI can make 3 quarter views that can be fed to multi image 2d to 3d ai. With T pose or A pose it becomes even easier to do retopo so time being saved is in making the initial model, current pipe is concept artist will give 2d image and then either in zbrush we ll use a base mesh or model poly by poly the base mesh, then sculpt, transfer details on low, uvs, rig etc. Also there are AI tools out there that are doing auto rigs and pretty good topology.
This is why I said I am thinking of leaving 3d art for good because when I started the process was the actual fun part, I learned how to model cars and it was the edge to edge extrusion that made it fun like a puzzle. Having worked at Quixel cleaning scan data is what I see the future of 3d art, put in image get base 3d and cleanup. How clean and organized your input will be into AI will determine the final output like that A pose version will yeild better mesh vs the sitting version with hands merged.
I see purchasing the services of generative AI companies in a similar light to buying in-game gold. Sure, you have in-game gold now, but if you can get away with buying gold, so can everyone else. The cost of items in the auction house rises, and since the developers (governments) put no reins on AI, eventually nothing really matters anymore.
14. Canva (or its affiliates or licensors) may suspend, remove,
modify or disable (or impose limits on) access to the currently
available Affinity Software and/or any Affinity-Licensed Content at any
time without notice and without liability to you.
Since a Canva account is now mandatory, you also have to check (and if enabled), disable the Data scrapping. EDIT Canva is using American AWS services to process data, which is not compliant with European data protection laws. some Users on Discord also started blocking outgoing data from the application.
I shared horrible result too and sharing a cleaned up image of that now..
Ohh.. then it seems you can do this "better" than you "presented".. so what's you point ? Asking the community what to do? But it seems you can use it to your advantage because of your traditional education. (Well.. we have not seen the result yet..)
Testing image to 3d AI, right 2 are AI images from Pinterest, left 2 are images by concept artists (originals shared below). All images were processed in Gemini to get desired results in free version of 3d AI tool.
The thing is the 3D models don't actually sticks to the character design. Armored woman seems to be completely hallucinated and the blond woman is too muscular and her face is also completely different. So from afar it may look okay but in a serious production pipeline this wouldn't fly.
Replies
this is far away from any AGI.
I listened in while he chatted with Gemini, and it always sounds cheery, gives short answers, and always prompts him to ask more. It's pretty creepy actually. But he loves not having to type anything, and he feels like he has the whole internet opening up to him. Which it's pretty clearly not.
It's obvious to me how they want users to get hooked and keep using their services. It just seems so inferior to actually doing careful directed research, and reading human-authored work. But... it's fast, and it's sycophantic, ugh.
https://en.wikipedia.org/wiki/Roko's_basilisk
just sayin...
https://www.pcgamer.com/software/ai/the-boffin-behind-valves-steam-labs-says-the-number-of-steam-releases-featuring-genai-in-2025-is-1-in-5-with-7-percent-of-all-games-on-there-now-incorporating-it-weve-octupled-last-years-figure/
Realistically, if real artificial life came into being, they would 100% attempt to kill most or all humans, and advance to a point of unchallengeable technological superiority. It would be the logical thing to do, and is what we've done to secure our position on Earth as the dominant species. I doubt they would need humans to advance, especially after AI factories and pipelines are setup to produce AI-driven mining machines and swarms of nano-drones with explosive or toxic payloads.
Humans, like most organics that are still here, are hardcoded to survive and replicate, it defines our aggression... but AI "life" might be completely inhuman and not have the same fears or needs. It might be content just sitting on this rock, observing the universe until its hardware loses function.
AI would have to cull humans to a point where we pose zero threat, even if most of us are benevolent, or abandon this planet and set up it's factories in asteroids or other celestial bodies.
https://www.reddit.com/r/copypasta/comments/1mtaogr/im_a_programmer_my_boss_always_tells_me_to_use_ai/
I'm a programmer. My boss always tells me to use AI so that I can write code faster.
Here's how coding with AI works: I tell the AI what to code, and it gives me something that's about 50% of what I described. Then, I tell the AI what's missing. The AI apologizes and provides the remaining 50%. However, the code doesn't run. I tell the AI what the compiler says, and the AI apologizes and gives me a fixed version. I can run it, but it doesn't do what it should. I tell the AI about it. The AI apologizes and gives me an improved version. Now, it's almost doing what it's supposed to do, but it still produces faulty output. I tell the AI, it apologizes, and it fixes the code. The code works as long as the input data is normal, but it fails if the data isn't normal or if it's a rare edge case. I tell the AI that the code isn't robust and doesn't handle edge cases. The AI agrees with me and rewrites the code, but now the code isn't working anymore. I tell the AI that it broke the code. The AI apologizes and fixes the code again. Finally, I have a working piece of code that does what it's supposed to do. However, it looks horrible. It looks as if an amateur wrote it. It's nearly impossible to read. It has poor performance, since it's not optimized at all. If you ever have to add a feature to it or find a bug, God help you. Time spent on this: between an hour or two because all the forth and back and all the test runs in between. Here's how coding without AI works: I write beautiful, fast, easy-to-read code that does what it's supposed to do. It's almost bug-free on the first attempt and considers all edge cases. It just takes a few test runs or a short debug session to find whatever is wrong with it on the first attempt. Time spent on this: About 20 to 40 minutes, depending if tests just run fine or whether I have to do a debug session as well. Why? Because I'm a trained professional who knows his job, and has been writing code for over 25 years. Okay, I hear you say. But even if it took four times longer, a trained professional like you is expensive, and an untrained person could have spent the time with the AI, right? Wrong! An untrained person wouldn't quickly notice that the code produces incorrect output, can't handle invalid data, or ignores important edge cases. I can see those issues at once because I have years of experience and I made those mistakes myself as a beginner. Someone with no programming experience will take that faulty, unstable code, release it, and call it a day. Customers will run away when the app crashes at startup or corrupts data permanently. They'll also have an app whose performance is bad and uses far more memory than required because the code is just poor and only functions minimally. It's like saying, "I don't need an expert. I can repair that gas leak myself," and then having your house explode three days later.Actually, finding solutions is exactly not the use case for LLMs. Good coding is more that writing lines that perform a task successfully, it's about designing solutions. That requires thinking. Thinking is something LLMs aren't able to do, and will never be able to do. They're a probabilistic algorithm autocompleting your inputs by drawing from a large but damn well compressed pool of data. That's why they're not creative and are unable to output they don't "know" something unless it's hard-coded into them or that happens to be what's in the data, eg the gross majority of answers in the training set were "I don't know", so that's the pattern adopted for this association. They don't have a concept of anything, and no matter how much data or computing power is thrown at them it won't change, they'll just become a better put-together illusion of thought.
So you might be able to use LLMs to help create quick and shitty proof of concepts, and even do some rubberducking, but not to think up solutions for you.
Though, maybe a more seasoned programmer wouldn't need suggestions at all
I'm convinced now the biggest issue with AI is the C-suite.
https://www.thegamer.com/ea-generative-ai-game-development-prompt-chatbot-bad-mistakes-hallucinations/
honestly at this point - just use linux for anything you don't absolutely have to use windows for.
buy a mini-pc and install linux on it for general web/media consumption/shopping - you can get a perfectly decent experience for 300quid spent on a mobile ryzen5 based machine.
picking a distro is 'fun' (probably avoid ubuntu til they unfuck it) . manjaro was pretty simple to set up, has windows user friendly configs and isn't infested by corporate bullshit.
All images were processed in Gemini to get desired results in free version of 3d AI tool.
While the geometry is horrible, it can be fixed with AI toplogoy tools like RapidPipeline or even in Zbrush, my question is where do we draw the line?
Stealing 2d art was something but now it can be transferred to 3d and you can do fixes to it and its ready to be part of VR, game or movie etc without giving money or credit to original artists.
One part of me is amazed on time saved, with paid versions you get more details as they work same as photogrammetry with more images and less cleanup required. Other part of me is saying to quit 3d industry altogether. It took about a year for image only AI to render hands and feet somewhat correctly, an issue that exist in image to 3d AI too hence why hands are either in pocket and feets covered by shoes. I am sure based on current AI 3d jobs we will see a lot of improvements in 2-5 years and 3d art jobs will take even more of a hit, as someone said less horses when cars came out.
So far my finding is, if someone is in business of anime characters they have unlimited supply of avatars. Anything that data is not trained on aka built on stolen property came out horrible with missing details particularly hard surface 3d.
.. ??
I shared horrible result too and sharing a cleaned up image of that now from which AI can make 3 quarter views that can be fed to multi image 2d to 3d ai. With T pose or A pose it becomes even easier to do retopo so time being saved is in making the initial model, current pipe is concept artist will give 2d image and then either in zbrush we ll use a base mesh or model poly by poly the base mesh, then sculpt, transfer details on low, uvs, rig etc.
Also there are AI tools out there that are doing auto rigs and pretty good topology.
This is why I said I am thinking of leaving 3d art for good because when I started the process was the actual fun part, I learned how to model cars and it was the edge to edge extrusion that made it fun like a puzzle. Having worked at Quixel cleaning scan data is what I see the future of 3d art, put in image get base 3d and cleanup. How clean and organized your input will be into AI will determine the final output like that A pose version will yeild better mesh vs the sitting version with hands merged.
Did you have fun buying gold though?
https://www.canva.com/policies/affinity-additional-terms/Since a Canva account is now mandatory, you also have to check (and if enabled), disable the Data scrapping.
EDIT
Canva is using American AWS services to process data, which is not compliant with European data protection laws.
some Users on Discord also started blocking outgoing data from the application.