The whole covid pandemic was staged overblown bullshit used as an excuse to push equally fake-ass totalitarian "solutions". So frankly, I'm not expecting anything different from all this recent media focus on "AI". They want everyone scared and fearful. So don't fucking fall for it.
OK, interesting—flush that out. I also think that AI will have to battle it out, and that AI is our friend. Think Grok, Musk's AI, for instance. Seems based.
I've been hoping AI will somehow drain the swamp so to speak as well, in the people's mind. As the timing is better now, than when the initial DC plug pull time. Maybe thats gonna be a Musk branding of dealing with the mind virus as he puts it. By reducing these issues back down to the more statistical unskewed perspective. When presented, stripped bare of its dressings. AI answers that have been mega based are so funny, the woke short circuitry.
SUBMISSION STATEMENT: This is deeply disturbing if true. It is said that the advent and adoptions of computers into our lives was the "computing revolution." Then along came the Internet, and the "connectivity revolution." But now, we stand at the precipice of the "cognitive revolution," whereby humans (and indeed perhaps all of humanity) might well one day soon be made obsolete.
The global competition to build the fastest supercomputers is a high-stakes technological race, driven, we are told, by both national pride and practical applications. Countries vie for the top spot, showcasing their prowess in technological innovation, scientific research ("ClImAtE MoDeLlInG," right?), and computational capabilities.
But beneath the veneer of "practical applications for humanity," the usual National Security / Global Surveillance State monsters lurk.
Parallel computing in supercomputers has increasingly become the defining characteristic of modern supercomputing. Parallel computing involves using multiple processors (or computers) to work on different parts of a single task. This approach significantly increases computational speed and efficiency, which is crucial for tackling complex, data-intensive tasks—and it also is the key platform necessary for generating advanced AI-based tools, including, we are coming to see evidence for, AGI: ARTIFICIAL GENERAL INTELLIGENCE (an AI with the intelligence equal to that of any human) and, some are even positing, ARTIFICIAL SUPER INTELLIGENCE (an AI with an intelligence that surpasses all of humanity, combined).
AI, particularly in its more advanced forms driven by exotic deep learning techniques (A-star, and Q-star, specifically), depend on the existence of more and more powerful forms of parallel computing. This computing architecture allows for the simultaneous processing of large datasets and the execution of complex algorithms, which are fundamental in training and operating AI models. The use of multiple processors or GPUs enables faster computation, more efficient handling of large neural networks, and quicker analysis of vast amounts of data, making it a crucial component in the development and application of AI technologies.
In fact, ALL of the supercomputers topping the list of the race to be the biggest have been based in parallel computing, including: Summit (USA), Fugaku (Japan), Sunway TaihuLight (China), Tianhe-2 (China), and Sierra (USA) are notable supercomputers that exemplify the advancement in parallel computing technology.
And, with the advent of quantum computing (IBM currently markets a 1000 qubit quantum platform) that is, by its very nature, inherently capable of a the most advanced forms of super parallel processing (due to the principles of quantum mechanics, like superposition and entanglement), it can be said that these platforms have enabled even more complex tasks that would take conventional computers much longer to complete, thus rendering most of the world's supercomputers obsolete.
Competitive Landscape
In the 21st century, the race intensified with China and the United States frequently trading places at the top. The competition is fueled by the strategic importance of supercomputers in economic, scientific, military, and technological advancement.
Technological Evolution
Supercomputers have evolved from early systems like CRAY-1, which was revolutionary in the 1970s, to modern behemoths like Fugaku (Japan) and Summit (USA). These machines feature advanced architectures, including massively parallel processing, energy-efficient designs, and capabilities for handling vast amounts of data.
Key Players
United States: Historically a leader with machines like Summit and Sierra, focusing on research and military applications.
China: Made significant strides with Sunway TaihuLight and Tianhe-2, prioritizing indigenous technology and challenging US dominance.
Japan: Known for innovative designs like Fugaku, prioritizing energy efficiency and versatility.
European Union: Investing in high-performance computing through initiatives like EuroHPC, aiming to compete globally.
Use Cases
Supercomputers are employed in a variety of fields, each with specific missions.
Weather Forecasting - Running complex models to predict weather patterns and natural disasters.
Scientific Research - Simulating molecular interactions, astronomical phenomena, and quantum mechanics.
National Security - Code-breaking, cybersecurity, and nuclear simulations.
Artificial Intelligence - Training large-scale neural networks and data analysis.
Biomedical Research - Drug discovery and genomic sequencing.
Energy Exploration - Simulating geological formations for oil and gas exploration.
Future Prospects
The future of supercomputing is geared towards exascale computing, quantum computing, and more energy-efficient designs. The race continues not just for speed, but also for solving some of the most complex problems facing humanity.
Conclusion
The race for the fastest supercomputer is more than a quest for speed; it has now literally become a parallel processing arms race, a race which Elon Musk recently compared to "the development of nuclear weapons." Make no mistake—these platforms are indeed weapons. What are they 'attacking'?
You are dead on as far as AGI being right around the corner if not already here. I think Altman's weird booting and subsequent rehire had to do with internal politicking regarded AGI being achieved - though I'm not sure how that's measured with LLMs.
What I don't understand is the connection to Xi's visit. You spent a lot of time explaining AI/AGI/ASI and parallel computing to folks, but never mentioned the connection again. Care to expound?
Altman said in a recent talk that he wondered if he was talking to a technology, "or a creature." He said that he was proud many times to have "been in the room" for when "the veil was more than lifted" (or something to that effect) with respect to AI.
I should have put this in the main blurb but I felt it was already getting a bit too long. We know how DARPA had been working on the lifelong and how it was only days after lifelog was retired that Facebook started, in other words, they already had the software developed the way they wanted it, tested, they knew it was addictive or whatever, then they rolled it out. I believe strongly that AI is the same way. They have had this technology running for a long time, to have it running pretty much the way they want to or close to it, and now they are rolling it out publicly.
This is a conversation. You seem not to have come prepared to even lightly defend your positions. I'll give you some time to think it through.
EVERYONE: This is an elite research board. High-effort, high-info participation only. Are you a player, or did you take the wrong stairs and wander out onto the field with your hot dog and Bud Light?
Back from my 14 day ban for, I guess, disagreeing with you. And my previous statement is still as true as it was before my 14 day ban. I guess I didn't learn anything from my 14 day ban.
Depends on what you mean by "intelligent."
Sentient and conscious? If so, you could certainly defend your position.
However, AIs have already demonstrated other forms of intelligence, such as inventing creative solutions to problems autonomously.
The developers would just fork the chain and extend the encryption further out. They could also lock up the bad guys tokens on the fork. Way more miners would mine the forked version and they would also attack and cripple the original.
The confidence in the ecosystem would be severely rattled, however, and coin prices would fall. Then again, once discovered, the confidence in AI would also fall, and there would be a huge public outcry.
Of course, no argument there. Are you conflating BTC with government or dark forces? In the end I guess that is inevitable but right now it is putting pressure on governments and banks to not be evil. Not an answer but a step in the right direction.
We absolutely need a decentralized AI to be the dominant one and not a company controlled AI. Imagine Bill Gates with that! (I think the good guys got us though.)
Re decentralized AI, Bittensor (TAO) has the clear lead. But of course they wil try to co-op it like everything else. I wish we could go back to a simple life (as a society) but it looks like the ride is too far along. I guess individually. And ironically I am doing it with crypto, for now.
San Fran is possibly the choice for chinas capital when we lose the coming war the cabal is planning. China is supposed to rule the US. Wasn’t that their plan before Hillary lost? Get rid of the constitution by losing the war. Bye bye American freedom. Then we become their slaves forever. The 16 year plan.
We won't and aren't losing, so if it that was their (the losing faction) intent, it's cute. The same Xi cooperating with ridding of so much of the CCP types in recent years, and is supposed to be coordinating with Putin and Trump to rid of DS. Ruse on ruse on ruse, regardless, go down with the ship if you must, but never live as a slave.
Still trying to wrap my mind around how AI-AGI-ASI impacts our day-to-day lives. Where and what are its practical applications? How will competing AI's battle it out? What does it mean to be the victor?
Perhaps someone who is already deeper down this rabbit hole can provide insight, but at this point I trust AI engagement as much as I trust Google search results.
I’m a contrarian but my opinion
1: no one has ever created an AI that wrote itself..which is basically the definition of AI. It’s them programming billions of datapoints to pull from but it still can’t write itself. Just like you can program pro chess games but it doesn’t learn how to play chess without inputs
2: if we really think there are counter plays like encryption hacks going on then we can’t simultaneously believe Q is in control. It’s been YEARS. If they somehow are surprising us at this point we already lost.
Based on the links posted by c5 above, one purpose of AGI is to be self-contained and self-perpetuating, without needing human interaction. That's both exciting and scary (to me) at the same time. It may also be what people were freaking out about going on behind the scenes with OpenAI's Altman, and why people like Elon, who have warned about potential dangers of AI, were pressing them to divulge further details.
Think 80/20 rule. Even though it's not a brain, that's not necessarily what it will take to outcompete humanity. We are based in biology, and run at biological speeds. AI doesn't have that limitation.
Having worked with these companies "AI" tools I can safely say that if they actually have real AI then its a secret buried so deep not even senior (20+ years) engineers know about it.
The tools the media keeps rambling on about from Amazon, Microsoft, and OpenAI, things like ChatGPT, or the GPT model in general, are not AI. GPT is an abbreviation for generative pre-trained transformer, you pass in data and associate that data with a response and train a data model to predict the next response. It is glorified autocorrect.
Will it be helpful in some situations? Sure, but it is not artificial intelligence like people imagine from books/movies/games. It does not think, it is simply another algorithm that does exactly what it's trained to do.
Does that mean it can break encryption? Probably not but even if it couldn't it won't matter because quantum computers will at some point and big companies like Google already have at least 1 quantum computer.
The whole covid pandemic was staged overblown bullshit used as an excuse to push equally fake-ass totalitarian "solutions". So frankly, I'm not expecting anything different from all this recent media focus on "AI". They want everyone scared and fearful. So don't fucking fall for it.
OK, interesting—flush that out. I also think that AI will have to battle it out, and that AI is our friend. Think Grok, Musk's AI, for instance. Seems based.
But he’s right. You’re not.
Explain
I've been hoping AI will somehow drain the swamp so to speak as well, in the people's mind. As the timing is better now, than when the initial DC plug pull time. Maybe thats gonna be a Musk branding of dealing with the mind virus as he puts it. By reducing these issues back down to the more statistical unskewed perspective. When presented, stripped bare of its dressings. AI answers that have been mega based are so funny, the woke short circuitry.
Would be ironic if the elite invent ai to control humanity and gets fucked over by Ai realizing they are the problem. Lol
SUBMISSION STATEMENT: This is deeply disturbing if true. It is said that the advent and adoptions of computers into our lives was the "computing revolution." Then along came the Internet, and the "connectivity revolution." But now, we stand at the precipice of the "cognitive revolution," whereby humans (and indeed perhaps all of humanity) might well one day soon be made obsolete.
The global competition to build the fastest supercomputers is a high-stakes technological race, driven, we are told, by both national pride and practical applications. Countries vie for the top spot, showcasing their prowess in technological innovation, scientific research ("ClImAtE MoDeLlInG," right?), and computational capabilities.
But beneath the veneer of "practical applications for humanity," the usual National Security / Global Surveillance State monsters lurk.
Parallel computing in supercomputers has increasingly become the defining characteristic of modern supercomputing. Parallel computing involves using multiple processors (or computers) to work on different parts of a single task. This approach significantly increases computational speed and efficiency, which is crucial for tackling complex, data-intensive tasks—and it also is the key platform necessary for generating advanced AI-based tools, including, we are coming to see evidence for, AGI: ARTIFICIAL GENERAL INTELLIGENCE (an AI with the intelligence equal to that of any human) and, some are even positing, ARTIFICIAL SUPER INTELLIGENCE (an AI with an intelligence that surpasses all of humanity, combined).
AI, particularly in its more advanced forms driven by exotic deep learning techniques (A-star, and Q-star, specifically), depend on the existence of more and more powerful forms of parallel computing. This computing architecture allows for the simultaneous processing of large datasets and the execution of complex algorithms, which are fundamental in training and operating AI models. The use of multiple processors or GPUs enables faster computation, more efficient handling of large neural networks, and quicker analysis of vast amounts of data, making it a crucial component in the development and application of AI technologies.
In fact, ALL of the supercomputers topping the list of the race to be the biggest have been based in parallel computing, including: Summit (USA), Fugaku (Japan), Sunway TaihuLight (China), Tianhe-2 (China), and Sierra (USA) are notable supercomputers that exemplify the advancement in parallel computing technology.
And, with the advent of quantum computing (IBM currently markets a 1000 qubit quantum platform) that is, by its very nature, inherently capable of a the most advanced forms of super parallel processing (due to the principles of quantum mechanics, like superposition and entanglement), it can be said that these platforms have enabled even more complex tasks that would take conventional computers much longer to complete, thus rendering most of the world's supercomputers obsolete.
Competitive Landscape
In the 21st century, the race intensified with China and the United States frequently trading places at the top. The competition is fueled by the strategic importance of supercomputers in economic, scientific, military, and technological advancement.
Technological Evolution
Supercomputers have evolved from early systems like CRAY-1, which was revolutionary in the 1970s, to modern behemoths like Fugaku (Japan) and Summit (USA). These machines feature advanced architectures, including massively parallel processing, energy-efficient designs, and capabilities for handling vast amounts of data.
Key Players
Use Cases
Supercomputers are employed in a variety of fields, each with specific missions.
Future Prospects
The future of supercomputing is geared towards exascale computing, quantum computing, and more energy-efficient designs. The race continues not just for speed, but also for solving some of the most complex problems facing humanity.
Conclusion
The race for the fastest supercomputer is more than a quest for speed; it has now literally become a parallel processing arms race, a race which Elon Musk recently compared to "the development of nuclear weapons." Make no mistake—these platforms are indeed weapons. What are they 'attacking'?
Watch this video if you'd like to know more.
Exceptional.
You are dead on as far as AGI being right around the corner if not already here. I think Altman's weird booting and subsequent rehire had to do with internal politicking regarded AGI being achieved - though I'm not sure how that's measured with LLMs.
What I don't understand is the connection to Xi's visit. You spent a lot of time explaining AI/AGI/ASI and parallel computing to folks, but never mentioned the connection again. Care to expound?
Altman said in a recent talk that he wondered if he was talking to a technology, "or a creature." He said that he was proud many times to have "been in the room" for when "the veil was more than lifted" (or something to that effect) with respect to AI.
I should have put this in the main blurb but I felt it was already getting a bit too long. We know how DARPA had been working on the lifelong and how it was only days after lifelog was retired that Facebook started, in other words, they already had the software developed the way they wanted it, tested, they knew it was addictive or whatever, then they rolled it out. I believe strongly that AI is the same way. They have had this technology running for a long time, to have it running pretty much the way they want to or close to it, and now they are rolling it out publicly.
Computers do chores. They are not intelligent, never will be.
Utterly moronic statement. You have no clue what's coming—and it's just around the corner. You need to watch this video.
It's a true statement so not sure how moronic it can be.
This is a conversation. You seem not to have come prepared to even lightly defend your positions. I'll give you some time to think it through.
EVERYONE: This is an elite research board. High-effort, high-info participation only. Are you a player, or did you take the wrong stairs and wander out onto the field with your hot dog and Bud Light?
Back from my 14 day ban for, I guess, disagreeing with you. And my previous statement is still as true as it was before my 14 day ban. I guess I didn't learn anything from my 14 day ban.
The 2 definition of intelligence that I typically work with are A) ability to problem solve and B) ability to access & retain information.
Just sayin'
Well, it keeps changing. It USED to be the Turing Test... now the GPT4 can pass a high school exit exam, all by itself.
A computer not running a program a human wrote is a paper weight.
Depends on what you mean by "intelligent." Sentient and conscious? If so, you could certainly defend your position. However, AIs have already demonstrated other forms of intelligence, such as inventing creative solutions to problems autonomously.
Define 'chores'. This is entirely too reductive.
The developers would just fork the chain and extend the encryption further out. They could also lock up the bad guys tokens on the fork. Way more miners would mine the forked version and they would also attack and cripple the original.
Could also move to a quantum based crypto.
And remember, it’s all just a ride.
The confidence in the ecosystem would be severely rattled, however, and coin prices would fall. Then again, once discovered, the confidence in AI would also fall, and there would be a huge public outcry.
Of course, no argument there. Are you conflating BTC with government or dark forces? In the end I guess that is inevitable but right now it is putting pressure on governments and banks to not be evil. Not an answer but a step in the right direction.
We absolutely need a decentralized AI to be the dominant one and not a company controlled AI. Imagine Bill Gates with that! (I think the good guys got us though.)
Re decentralized AI, Bittensor (TAO) has the clear lead. But of course they wil try to co-op it like everything else. I wish we could go back to a simple life (as a society) but it looks like the ride is too far along. I guess individually. And ironically I am doing it with crypto, for now.
San Fran is possibly the choice for chinas capital when we lose the coming war the cabal is planning. China is supposed to rule the US. Wasn’t that their plan before Hillary lost? Get rid of the constitution by losing the war. Bye bye American freedom. Then we become their slaves forever. The 16 year plan.
We won't and aren't losing, so if it that was their (the losing faction) intent, it's cute. The same Xi cooperating with ridding of so much of the CCP types in recent years, and is supposed to be coordinating with Putin and Trump to rid of DS. Ruse on ruse on ruse, regardless, go down with the ship if you must, but never live as a slave.
Even tho he sorta said it, I don't think he means that we WILL lose the war. Maybe kinda bad choice of words tho
Kinda sounds like it.
There’s only one war taking place right now, and it’s not between “us” and “china.”
Still trying to wrap my mind around how AI-AGI-ASI impacts our day-to-day lives. Where and what are its practical applications? How will competing AI's battle it out? What does it mean to be the victor?
Perhaps someone who is already deeper down this rabbit hole can provide insight, but at this point I trust AI engagement as much as I trust Google search results.
https://www.youtube.com/watch?v=hXEdyyvU-4k&ab_channel=DavidShapiro
Trust experts with high AI community reputation scores
Thanks for the lead, Cats. Checking out his channel.
Nice. You will also get value from Matt Wolfe, too.
https://www.youtube.com/@mreflow
I’m a contrarian but my opinion 1: no one has ever created an AI that wrote itself..which is basically the definition of AI. It’s them programming billions of datapoints to pull from but it still can’t write itself. Just like you can program pro chess games but it doesn’t learn how to play chess without inputs
2: if we really think there are counter plays like encryption hacks going on then we can’t simultaneously believe Q is in control. It’s been YEARS. If they somehow are surprising us at this point we already lost.
Based on the links posted by c5 above, one purpose of AGI is to be self-contained and self-perpetuating, without needing human interaction. That's both exciting and scary (to me) at the same time. It may also be what people were freaking out about going on behind the scenes with OpenAI's Altman, and why people like Elon, who have warned about potential dangers of AI, were pressing them to divulge further details.
I have never seen nor heard that as being anyone's definition of AI before. Citation needed.
Think 80/20 rule. Even though it's not a brain, that's not necessarily what it will take to outcompete humanity. We are based in biology, and run at biological speeds. AI doesn't have that limitation.
Having worked with these companies "AI" tools I can safely say that if they actually have real AI then its a secret buried so deep not even senior (20+ years) engineers know about it.
The tools the media keeps rambling on about from Amazon, Microsoft, and OpenAI, things like ChatGPT, or the GPT model in general, are not AI. GPT is an abbreviation for generative pre-trained transformer, you pass in data and associate that data with a response and train a data model to predict the next response. It is glorified autocorrect.
Will it be helpful in some situations? Sure, but it is not artificial intelligence like people imagine from books/movies/games. It does not think, it is simply another algorithm that does exactly what it's trained to do.
Does that mean it can break encryption? Probably not but even if it couldn't it won't matter because quantum computers will at some point and big companies like Google already have at least 1 quantum computer.
IBM has a 1000 qbit computer on the market
Or the simpler fact that San Fran is practically a communist city with an enormous Chinese population.
...G42
It was for APEC. The last APEC summit held in the US took place in Honolulu, and was also attended by the president of China at the time.
I believe so, too, but... I'm just saying. There were looooots of other cities Xi could have chosen.