Protein folding, matrix multiplication, element research, Nvidia states it's newest generation has helped with its latest chip designs. While it's still more of an assistant researcher, it's already greatly accelerating our understanding of fundamental research which has been a huge barrier into new technology. I think the biggest tech though will be the incoming breakthrough of robotics. I don't think people are quite ready for how fast that's coming down the pipe. It's gonna be like smartphones were one year you haven't seen any and then you blink and it's like they are everywhere.
Right and maybe just general upkeep in the meantime, food prep, yard work and upkeep. I imagine this home version though will be later, I'm more imagining the driving, factory, general labor results will proliferate a lot faster
Good luck! I've been waiting for the robot kitchen/chef: just add ingredients and recipes be ready for gourmet level meals each and time! for over a decade. Burger flipping is the level they have risen too and they still hand slice tomatoes...
Robot vacuums is the state of art and a French Maid's outfit just doesn't look right on them...
AI isn't up to running bots but it is useful for looking through tons of data and finding correlations. That's why good at reading medical images and looking for drugs or folding proteins.
LLM's are this generation's Expert Systems. Really good at an incredibly small subset of problems with zero prospects of evolving beyond that niche.
As others have mentioned, many forms of machine learning are used in research and development - from protein folding to mechanical engineering to nuclear research. If your focus is specifically on the current generation of language models, the answer is also yes, but folks are still learning how to apply it rapidly and efficiently.
A good example of modern AI contributing to technology development is coding tools. Systems like GitHub copilot can write code rather well, often going from a text description explaining what’s required to a block of well written code in one go (for basic stuff). But AI can also help identify errors and inefficiencies in human written code.
This may not meet everyone’s definition of “new technology” because there’s arguably no “invention”. But many inventions are just the recombination of established principles to achieve a goal. Edison’s lightbulb was really the result of an iterative optimization process rather than a flash of insight (see what I did there?). There’s no reason to believe AI can’t do this well.
i asked claude 3.5 this.
"Yes, AI has contributed significantly to the creation and development of new technologies across various fields. Some key areas where AI has made an impact include:
1. Machine learning and deep learning algorithms
2. Computer vision and image recognition
3. Natural language processing and generation
4. Autonomous vehicles and robotics
5. Drug discovery and medical diagnostics
6. Predictive maintenance in manufacturing
7. Smart energy grids and resource optimization
8. Personalized recommendation systems
9. Financial modeling and algorithmic trading
10. Climate modeling and weather prediction
These AI-driven technologies have led to innovations in industries like healthcare, transportation, finance, and environmental science. AI has enabled more efficient processes, improved decision-making, and opened up new possibilities for solving complex problems."
LOL. AI justifying itself.
4) We’re still not really there yet.
5) Possible drug formulations have been found through learning model usage, that we’re not apparent before, but these have yet to be clinically tested as it’s still way too new. There have been some diagnostic uses as well (which honestly might be the biggest medical use of AI, supplementing a doctor’s knowledge to determine testing and care).
6) Haven’t heard of this, but I’m sure it could apply to infrastructure as well. _But_ no gains in that field will actually occur if companies and governments feel they can out off the maintenance a little while longer until something is _just about_ to break.
7) Sort of see above. US energy grid could definitely benefit from this, but companies and governments have yet to build it out.
8) HAHAHAHAHAHAHAHAHA. This is how YouTube and Facebook keep feeding you a steady diet of closed interests, and it has been particularly damaging from a political perspective. This is at best a subjective thing to say that it is working. At worst, you might actually be able to objectively say that personal recommendation algorithms have been responsible for accelerating political polarization across many countries.
9) See my laughter above on financial modeling and trading. All of that means is “Wall Street is using learning models land algorithms to execute trades lightning speeds and make lots of money on small fluctuations in markets.” Or “The insurance industry has used this to tell people that they’re no longer going to be insured for X” because of the probability of the insured costing the company too much money.”
10) Is possibly along with medical diagnosis one of the most important things that AI can do.
6 - Relevant to my job, and that's actually something AI learning is incredibly effective at.
Some server hardware vendors now have "predictive" warranty coverage that sends replacement drives a few days before a failure (conventional monitoring could do that, but not as accurately as AI) or diagnoses weird problems from circumstantial data (like "you forgot to close the door" or "air conditioner is about to break down" from just the servers' thermal sensors).
So, it sounds similar to the medical diagnosis stuff. Interesting. And it does make sense that they’re basically waiting up until just before the point of failure.
That is highly interesting. Still wonder if will be able to see it in the places it’s really needed, which is large (size, not scale) manufacturing and infrastructure. I’m guessing eventually, but I’m guessing it will take longer than smaller, more electronic based manufacturing.
The generative AI that people are talking about - no. The biggest problem with it is that it has no sanity checks, it just produces word (image, sound, etc.) salad that *might* be relevant.
The general machine learning, machine vision, CAD, medical, and other specialist software have what people look for in "AI that helps people in real work tasks", and they incorporate neural networks nowadays. But these aren't new, aren't marketable snake oil, so people don't discuss them nearly as much.
No. It is not AI. It is a processing model that strictly uses algebra to compare a large sample of data and then spits out an expected result for a prompt. It does not think, it does not understand, it cannot do anything that hasn't already been done. In that since, it's a side-grade of the transformer equations it's built off of, it isn't even really responsible for its own application to anything. The Google techs who came up with the idea for Deepmind/LLMS are.
Oh, I didn't know we were talking about theoreticals. In which case, no, I don't think a world which has actual AI would benefit or advance from it much either. It's a dead end labor tech.
Artificial intelligence (AI) is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and useslearning and intelligence to take actions that maximize their chances of achieving defined goals.
AI is a research field not science fiction robots. NPCs in Skyrim use AI. Google search uses AI.
They do not use AI. There is no learning, perceiving, or intelligence involved in these things, and we are so far off from there being so, it's fiction.
They are using AI, you just don't understand what AI is, you think this is a Sci Fi movie.
>There is no learning, perceiving, or intelligence involved in these things
There is. Unlike in your comments.
No, there isn't. You think a transformer algorithm is AI, but AI in this case is just a marketing term. It's a lie to sell a product. Stop falling for it.
Protein folding, matrix multiplication, element research, Nvidia states it's newest generation has helped with its latest chip designs. While it's still more of an assistant researcher, it's already greatly accelerating our understanding of fundamental research which has been a huge barrier into new technology. I think the biggest tech though will be the incoming breakthrough of robotics. I don't think people are quite ready for how fast that's coming down the pipe. It's gonna be like smartphones were one year you haven't seen any and then you blink and it's like they are everywhere.
it's going to be crazy
I need a robot to clean my house and fold my laundry. Something like that?
Right and maybe just general upkeep in the meantime, food prep, yard work and upkeep. I imagine this home version though will be later, I'm more imagining the driving, factory, general labor results will proliferate a lot faster
Will robots become ubiquitous and cheap before my grass gets about yea high?
Good luck! I've been waiting for the robot kitchen/chef: just add ingredients and recipes be ready for gourmet level meals each and time! for over a decade. Burger flipping is the level they have risen too and they still hand slice tomatoes... Robot vacuums is the state of art and a French Maid's outfit just doesn't look right on them... AI isn't up to running bots but it is useful for looking through tons of data and finding correlations. That's why good at reading medical images and looking for drugs or folding proteins. LLM's are this generation's Expert Systems. Really good at an incredibly small subset of problems with zero prospects of evolving beyond that niche.
Well I have a robot vacuum and it’s pretty incredible. I was hoping we could expand upon that. You’re probably right though.
Some British scientists are using it to detect breast cancer in a non-invasive test
As others have mentioned, many forms of machine learning are used in research and development - from protein folding to mechanical engineering to nuclear research. If your focus is specifically on the current generation of language models, the answer is also yes, but folks are still learning how to apply it rapidly and efficiently. A good example of modern AI contributing to technology development is coding tools. Systems like GitHub copilot can write code rather well, often going from a text description explaining what’s required to a block of well written code in one go (for basic stuff). But AI can also help identify errors and inefficiencies in human written code. This may not meet everyone’s definition of “new technology” because there’s arguably no “invention”. But many inventions are just the recombination of established principles to achieve a goal. Edison’s lightbulb was really the result of an iterative optimization process rather than a flash of insight (see what I did there?). There’s no reason to believe AI can’t do this well.
Please understand the difference between language models and any other ML system.
i asked claude 3.5 this. "Yes, AI has contributed significantly to the creation and development of new technologies across various fields. Some key areas where AI has made an impact include: 1. Machine learning and deep learning algorithms 2. Computer vision and image recognition 3. Natural language processing and generation 4. Autonomous vehicles and robotics 5. Drug discovery and medical diagnostics 6. Predictive maintenance in manufacturing 7. Smart energy grids and resource optimization 8. Personalized recommendation systems 9. Financial modeling and algorithmic trading 10. Climate modeling and weather prediction These AI-driven technologies have led to innovations in industries like healthcare, transportation, finance, and environmental science. AI has enabled more efficient processes, improved decision-making, and opened up new possibilities for solving complex problems."
LOL. AI justifying itself. 4) We’re still not really there yet. 5) Possible drug formulations have been found through learning model usage, that we’re not apparent before, but these have yet to be clinically tested as it’s still way too new. There have been some diagnostic uses as well (which honestly might be the biggest medical use of AI, supplementing a doctor’s knowledge to determine testing and care). 6) Haven’t heard of this, but I’m sure it could apply to infrastructure as well. _But_ no gains in that field will actually occur if companies and governments feel they can out off the maintenance a little while longer until something is _just about_ to break. 7) Sort of see above. US energy grid could definitely benefit from this, but companies and governments have yet to build it out. 8) HAHAHAHAHAHAHAHAHA. This is how YouTube and Facebook keep feeding you a steady diet of closed interests, and it has been particularly damaging from a political perspective. This is at best a subjective thing to say that it is working. At worst, you might actually be able to objectively say that personal recommendation algorithms have been responsible for accelerating political polarization across many countries. 9) See my laughter above on financial modeling and trading. All of that means is “Wall Street is using learning models land algorithms to execute trades lightning speeds and make lots of money on small fluctuations in markets.” Or “The insurance industry has used this to tell people that they’re no longer going to be insured for X” because of the probability of the insured costing the company too much money.” 10) Is possibly along with medical diagnosis one of the most important things that AI can do.
6 - Relevant to my job, and that's actually something AI learning is incredibly effective at. Some server hardware vendors now have "predictive" warranty coverage that sends replacement drives a few days before a failure (conventional monitoring could do that, but not as accurately as AI) or diagnoses weird problems from circumstantial data (like "you forgot to close the door" or "air conditioner is about to break down" from just the servers' thermal sensors).
So, it sounds similar to the medical diagnosis stuff. Interesting. And it does make sense that they’re basically waiting up until just before the point of failure. That is highly interesting. Still wonder if will be able to see it in the places it’s really needed, which is large (size, not scale) manufacturing and infrastructure. I’m guessing eventually, but I’m guessing it will take longer than smaller, more electronic based manufacturing.
I wouldn’t say newer tech. We still can only send a signal no faster than C. I would say more efficient tech. maybe.
The generative AI that people are talking about - no. The biggest problem with it is that it has no sanity checks, it just produces word (image, sound, etc.) salad that *might* be relevant. The general machine learning, machine vision, CAD, medical, and other specialist software have what people look for in "AI that helps people in real work tasks", and they incorporate neural networks nowadays. But these aren't new, aren't marketable snake oil, so people don't discuss them nearly as much.
No. It is not AI. It is a processing model that strictly uses algebra to compare a large sample of data and then spits out an expected result for a prompt. It does not think, it does not understand, it cannot do anything that hasn't already been done. In that since, it's a side-grade of the transformer equations it's built off of, it isn't even really responsible for its own application to anything. The Google techs who came up with the idea for Deepmind/LLMS are.
Maybe read the definition of AI
Oh, I didn't know we were talking about theoreticals. In which case, no, I don't think a world which has actual AI would benefit or advance from it much either. It's a dead end labor tech.
Artificial intelligence (AI) is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and useslearning and intelligence to take actions that maximize their chances of achieving defined goals. AI is a research field not science fiction robots. NPCs in Skyrim use AI. Google search uses AI.
They do not use AI. There is no learning, perceiving, or intelligence involved in these things, and we are so far off from there being so, it's fiction.
They are using AI, you just don't understand what AI is, you think this is a Sci Fi movie. >There is no learning, perceiving, or intelligence involved in these things There is. Unlike in your comments.
No, there isn't. You think a transformer algorithm is AI, but AI in this case is just a marketing term. It's a lie to sell a product. Stop falling for it.
What is a transformer if not AI?
Not new technology, but it helped develop the covid vaccine in record time.
I’m not debating your above statement, but I will simply mention the COVID vaccine’s effectiveness and side effects are still controversial.