Ready or not, here it comes.



Vollmer

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I LOATHE not knowing if images are real. It’s normally pretty easy to recognize fakes, in AIs current state - but at some point it won’t be possible to spot fakes.

And just knowing I have to be careful now pisses me off deep inside.
I can’t wait to see all the 15 lb walleye. 🙄
 


Lycanthrope

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The AI girls on insta are putting real traps out of work... Check out some of the animated 'elsa' (from frozen) shorts. Definitely an improvement over the original, lol
 

KDM

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I can see AI as a usable tool, but will it be good or bad? Given that it was created by men and has the entirety of human behaviors, actions, and all manner of activities available to it, I'd say there is more than enough evidence for concern. What people should realize is that AI is nothing but a giant and very powerful data mining program. It invents nothing. It creates nothing. Example: You can ask AI to write a horror novel and without a doubt, AI will use Steven King as a source along with every other horror novelist ever published. Now some folks will say the resultant story is a new book. I say its Steven Kings and the other authors original creativity that was stolen, reworked, repackaged, and claimed by something or someone else. Basically, AI is one giant plagiarism on the entirety of human existence IMO. Another example: AI can show you a route of travel to get you to your destination, but will never be able to tell you if that sidewalk strewn with needles, filled with drugged and oddly behaving people and has an apparent lack of police presence is safe for you to travel through. Only you as an intelligent, sentient being can determine that once you are actually standing there and see it for yourself. Some folks will say it's perfectly safe while others will say it's life threatening. AI can't make that determination for you. Carry On!
 

wslayer

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An acquaintance I know showed me an AI app ChatGPT. Told it to tell me a story of my childhood days. The more info you feed initially, the more in-depth it is. It was unbelievable what it came up with. I could write a novel and I'm by no means an author. I think its a slippery slope, not a fan.
If it could figure out how to cure cancer or other life altering diseases, I'd lean more favorable.
 

Lycanthrope

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I can see AI as a usable tool, but will it be good or bad? Given that it was created by men and has the entirety of human behaviors, actions, and all manner of activities available to it, I'd say there is more than enough evidence for concern. What people should realize is that AI is nothing but a giant and very powerful data mining program. It invents nothing. It creates nothing. Example: You can ask AI to write a horror novel and without a doubt, AI will use Steven King as a source along with every other horror novelist ever published. Now some folks will say the resultant story is a new book. I say its Steven Kings and the other authors original creativity that was stolen, reworked, repackaged, and claimed by something or someone else. Basically, AI is one giant plagiarism on the entirety of human existence IMO. Another example: AI can show you a route of travel to get you to your destination, but will never be able to tell you if that sidewalk strewn with needles, filled with drugged and oddly behaving people and has an apparent lack of police presence is safe for you to travel through. Only you as an intelligent, sentient being can determine that once you are actually standing there and see it for yourself. Some folks will say it's perfectly safe while others will say it's life threatening. AI can't make that determination for you. Carry On!
you are wrong, AI is already making discoveries that will likely change the world, and it is just in its infancy. Some theorists are actually arguing that AI isnt an invention as much as a discovery, and they make a good case for it IMO. Its really hard to stress enough how significant this is... The only close comparison I can come up with, that most of us will understand, is consider the world before computers and after computers. It will likely be more revolutionary than that, maybe by multiples.
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Here’s a list of 10 things that AI has invented, discovered, or significantly advanced, with the potential to change the world. These are based on developments up to now, March 27, 2025, and reflect AI’s growing impact across various fields:
  1. Protein Structure Prediction (AlphaFold) - AI, specifically DeepMind’s AlphaFold, cracked the decades-old problem of predicting protein 3D structures from amino acid sequences. This breakthrough accelerates drug discovery and personalized medicine by revealing how proteins function and misfold in diseases like Alzheimer’s.
  2. Generative AI Models (e.g., GPT, DALL-E) - AI systems like those from OpenAI and others can generate human-like text, images, and even code, revolutionizing content creation, education, and creative industries. They’re reshaping how we communicate and work.
  3. Autonomous Vehicle Algorithms - AI-driven systems for self-driving cars (Tesla, Waymo) have advanced navigation, object detection, and decision-making, paving the way for safer roads and a potential overhaul of transportation systems.
  4. Quantum Computing Algorithms (e.g., Shor’s Algorithm Optimization) - AI has helped refine algorithms for quantum computers, like improving error correction or optimizing quantum simulations, which could unlock unprecedented computational power for cryptography and materials science.
  5. Cancer Detection Systems - AI tools, such as those developed by Google Health and IBM Watson, can detect cancers (e.g., breast, lung) in medical imaging with accuracy rivaling or exceeding human experts, promising earlier diagnoses and better outcomes.
  6. Climate Modeling Enhancements - AI has improved climate prediction models by processing vast datasets faster and more accurately, helping scientists forecast extreme weather and optimize renewable energy systems like wind and solar grids.
  7. Synthetic Biology Tools (e.g., AI-Designed Organisms) - AI has been used to design new DNA sequences and synthetic microbes, like those from Zymergen or Ginkgo Bioworks, which could transform agriculture, biofuels, and medicine by creating custom organisms.
  8. Language Translation Breakthroughs - AI-powered translation (e.g., Google Translate, DeepL) has reached near-human fluency across dozens of languages, breaking down global communication barriers and enabling real-time cross-cultural collaboration.
  9. AI-Driven Materials Discovery - Algorithms have identified new materials, like superconductors or lightweight alloys, by simulating molecular interactions (e.g., MIT’s AI material discovery platform), potentially revolutionizing energy storage and manufacturing.
  10. Emotion Recognition Systems - AI can now analyze facial expressions, voice tones, and text to detect emotions, with applications in mental health monitoring, customer service, and even lie detection, though it raises ethical questions about privacy and manipulation.
These advancements show AI’s knack for tackling complex problems, often faster than humans alone could. The world-changing potential lies in how they’re applied—whether they solve crises or create new ones depends on us.
 


KDM

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you are wrong, AI is already making discoveries that will likely change the world, and it is just in its infancy. Some theorists are actually arguing that AI isnt an invention as much as a discovery, and they make a good case for it IMO. Its really hard to stress enough how significant this is... The only close comparison I can come up with, that most of us will understand, is consider the world before computers and after computers. It will likely be more revolutionary than that, maybe by multiples.
---------------------------------------
Here’s a list of 10 things that AI has invented, discovered, or significantly advanced, with the potential to change the world. These are based on developments up to now, March 27, 2025, and reflect AI’s growing impact across various fields:
  1. Protein Structure Prediction (AlphaFold) - AI, specifically DeepMind’s AlphaFold, cracked the decades-old problem of predicting protein 3D structures from amino acid sequences. This breakthrough accelerates drug discovery and personalized medicine by revealing how proteins function and misfold in diseases like Alzheimer’s.
  2. Generative AI Models (e.g., GPT, DALL-E) - AI systems like those from OpenAI and others can generate human-like text, images, and even code, revolutionizing content creation, education, and creative industries. They’re reshaping how we communicate and work.
  3. Autonomous Vehicle Algorithms - AI-driven systems for self-driving cars (Tesla, Waymo) have advanced navigation, object detection, and decision-making, paving the way for safer roads and a potential overhaul of transportation systems.
  4. Quantum Computing Algorithms (e.g., Shor’s Algorithm Optimization) - AI has helped refine algorithms for quantum computers, like improving error correction or optimizing quantum simulations, which could unlock unprecedented computational power for cryptography and materials science.
  5. Cancer Detection Systems - AI tools, such as those developed by Google Health and IBM Watson, can detect cancers (e.g., breast, lung) in medical imaging with accuracy rivaling or exceeding human experts, promising earlier diagnoses and better outcomes.
  6. Climate Modeling Enhancements - AI has improved climate prediction models by processing vast datasets faster and more accurately, helping scientists forecast extreme weather and optimize renewable energy systems like wind and solar grids.
  7. Synthetic Biology Tools (e.g., AI-Designed Organisms) - AI has been used to design new DNA sequences and synthetic microbes, like those from Zymergen or Ginkgo Bioworks, which could transform agriculture, biofuels, and medicine by creating custom organisms.
  8. Language Translation Breakthroughs - AI-powered translation (e.g., Google Translate, DeepL) has reached near-human fluency across dozens of languages, breaking down global communication barriers and enabling real-time cross-cultural collaboration.
  9. AI-Driven Materials Discovery - Algorithms have identified new materials, like superconductors or lightweight alloys, by simulating molecular interactions (e.g., MIT’s AI material discovery platform), potentially revolutionizing energy storage and manufacturing.
  10. Emotion Recognition Systems - AI can now analyze facial expressions, voice tones, and text to detect emotions, with applications in mental health monitoring, customer service, and even lie detection, though it raises ethical questions about privacy and manipulation.
These advancements show AI’s knack for tackling complex problems, often faster than humans alone could. The world-changing potential lies in how they’re applied—whether they solve crises or create new ones depends on us.
Don't want to argue as neither one of us have a crystal ball to tell what the future holds and we may have to agree to disagree. That said, all of what you mentioned takes data already available and collected by humans.
1. Humans knew about misfolded proteins and predicted they were possible causal agents of disease. They also knew the configurations of many proteins. AI is using that knowledge to crunch out probabilities for proteins and other biological compounds.
2. AI had to use texts already created by Humans to get human like texts. AI is reshaping what humans already had. Again, using what humans already came up with, but faster.
3. Advanced navigation is based on GPS, radars, and other technologies already created by humans. AI is basing it's decisions off human traffic decisions are. Humans had to tell AI what a good decision is and what a bad decision is.
4. To refine an algorithm you first have to have one made by humans and to optimize a quantum simulation you first have to have it.
5. Humans first had to identify what cancer on an image looked like before AI could be programed to look for them. AI is using what humans already discovered. Just faster.
6. Again improving or optimizing human made processes isn't inventing them. Again, AI is based off human creativity and what humans already know about weather.
7. Humans had to tell AI what DNA is made of and how it worked before AI could begin putting the nucleotides A,C,G, and T together in different ways.
8. In order to translate languages, Humans first had to create and use them. AI is using human created languages, not something it created.
9. Before AI can run simulations for superconductor materials it first needed to be programed on the specifics of what each material does. Humans had to find that out first.
10. Humans had to program AI with information on what emotions look like and sound like before AI could come up with emotional anything. AI didn't invent anger face. Humans had to program it.

I'm not saying AI doesn't have uses or can't speed up data analysis or put together useful formulas. I'm saying AI is working with information, data, or whatever that a human had to come up with first or at least the foundations for it. AI is capable of compiling much more information than most any human, but it's still based on what humans have already done. That's my position. Enjoy the rest of your day and your avatar still gives me shivers.
 

Rowdie

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While that's all true KDM, what's the NEXT STEP? Will AI be able to create NEW discoveries on it's own using data or asking for data we never thought of. It can already write movies and novels and then create the images when asked. Will it be able to just do it by itself at some point without any directives?
 

Trip McNeely

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What’s so freaky about AI? 🤷🏼
IMG_0776.jpeg
 


Lycanthrope

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all of what you mentioned takes data already available and collected by humans.
obviously, because that is the only data that is currently available, because we are the only intelligent species that collects data in our solar system. As AI progresses, it will become better at collecting its own data im sure, but AI is brand new tech, cant really be unreasonable in your expectations. We are also all working with information and data other humans came up with, over thousands or tens of thousands of years. It wont take AI nearly that long to develop its own data and systems I predict.
 

Lycanthrope

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While that's all true KDM, what's the NEXT STEP? Will AI be able to create NEW discoveries on it's own using data or asking for data we never thought of. It can already write movies and novels and then create the images when asked. Will it be able to just do it by itself at some point without any directives?
Im hoping that generated movies come around sooner rather than later. Imagine watching a movie that was created FOR YOU, by your AI that changes based upon your interest level which is being monitored by a camera watching your facial expressions... It would be like those old chose your own ending type books, on steroids x 1000! Right now that shit only happens in my dreams, which are pretty awesome, but not always easy to remember.
 

Lycanthrope

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While that's all true KDM, what's the NEXT STEP? Will AI be able to create NEW discoveries on it's own using data or asking for data we never thought of. It can already write movies and novels and then create the images when asked. Will it be able to just do it by itself at some point without any directives?
Im totally onboard for personal AI, 10 years from now how many peoples best friends will be the AI on their mobile/connected/integrated devices? Its gonna change relationships as we know them.
 


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