AI weapons of mass destruction (AI/WMD): NVIDIA as the major fake AI washing machine
"The truth, the whole truth and nothing but the truth"...
“Mitigating the risk of extinction from AI should be a global priority alongside other societal-scale risks such as pandemics and nuclear war,”
All today's big tech AI is either Non-AI, or Fake and False AI, or AI Washing, bringing billions or trillions to the corporate counterfeiters, together with the existential risk externalities...
The post is to further explain
It all looks humanity hardly could exist without wars and big lies, speculative bubbles, corporate cons, hypes, mind manipulations, or social evils.
From one, socio-political side, we witness how some omnicidal geopolitical maniacs are doing their worst to "destroy everything", seeking the destruction of whatever world the setting is based in,
From another, the corporate big tech side, we witness how a small group of American big tech companies creating false hype about AI technology to attract greedy investors to inflate their valuation to billions if not trillions, facilitating the manufacturing of deep fake AI weapons of mass destruction (FAI/WMD).
Now, omnicide is getting more more real possibility to climate change,?global nuclear annihilation,?biological warfare,?weapons of mass destruction, ecological collapse, biotechnology, or?self-replicating nanobots.
Now, we have the most real existential risk of the ending of the human species from a human-like and human-level AI, or the human intelligence faking AI/ML/DL/LLMs, emerging as the Generative AI weapons of mass destruction (GenAI/WMD).
The CEOs of the world’s leading AI companies, along with hundreds of researchers, scientists and experts, made their most unified recognition about the existential risks to humanity posed by the fake AI technology.
Another collective open letter with 33 707 signatures states clearly:
"AI systems with human-competitive intelligence can pose profound risks to society and humanity, as shown by extensive research and acknowledged by top AI labs".
We are not merely talking about how the generative AI technology could simplify and accelerate the development and production of nuclear, biological or chemical WMDs, as it is debated at the German Federal Foreign Office's 2024 Artificial Intelligence and Weapons of Mass Destruction Conference .
It is not about WMDs as the Weapons of Math Destruction, "mathematical algorithms that supposedly take human traits and quantify them, resulting in damaging effects and the perpetuation of bias...".
It is rather about the [deep fake] AI as the most destructive weapons of mass math destruction (AI/WMMD), being created on massive commercial scales by the big tech corporations, led by its major deep fake AI chipmaker and AI washing machine, registered as NVIDIA: World Leader in Artificial Intelligence Computing , no less, no more.
Understanding Real AI vs. Fake AI
There's been a lot of hype around/surrounding AI, attracting all interest and attention in last two years. From virtual assistants and large language models, robotics and autonomous vehicles, chatbots and speech recognition, personalized tutors and recommendation systems to military drones, its potential applications seem infinite.
But amidst the excitement of advances in AI technology, one question is increasingly being asked:
What is AI or Machine Intelligence and Machine Learning? What is it fake and false and when is it true and real?
We do AI, its technologies, services and products, having no universally accepted definition.
If not consider seriously such definitions, as in:
"Intelligence, exhibited by machines, specifically computer systems";
AI machines are to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals.
"A machine-based system that, for explicit or implicit objectives, infers, from the input it receives, how to generate outputs such as predictions, content, recommendations, or decisions that can influence physical or virtual environments. Different AI systems vary in their levels of autonomy and adaptiveness after deployment".
As a result, there is no general knowledge or understanding of AI, or how to tell the “fake AI” from the "real AI" .
What is certain, real and true AI must be able of the following intelligent functions:
to effectively interact with the world, physical or virtual,
to learn constantly independently,
to continuously adapt to new data and environments,
to make causally valid decisions,
inferences,
predictions
and actions.
Since no mainstream AI platforms, applications or products, have such "real AI" features, it is Non-AI, AI Washing or Fake AI, be it
ML or DL or Neural Networks or LLMs or Generative AI or AI chatbots, as ChatGPT.
Their stakeholders follow an amoral business philosophy "Fake It till You Never Make It", mixed up with “AI Washing” , "a company’s marketing effort to advertise that their products or services contain AI, even though this is only weakly the case, if at all".
Welcome to the big tech world of Fake AI Washing
The leading companies worldwide by market capitalization are 10 leading tech companies , whose cap is ranging from $460 billion (Tencent) to $3+ trillion (Nvidia and Microsoft), mostly due to fake AI technology
It is widely sold as allowing computers and machines to simulate human intelligence, brain, brains, behavior or business, including the human body for humanoid robots.
If to select the most destructively disruptive technological concepts or WMDs projects, they could be graded as a troika:
Human Artificial Intelligence , or Faking/Simulating Human Intelligence AI, or Fake/False AI, with AGI or ASI extension.
The Fake/False AI is to simulate/mimic/replicate/fake/forge/falsify/feign human intelligence using machines, including machine learning (ML) and deep learning, "a concept that a computer program can learn and adapt to new data without human intervention".
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It pays a company trillions to be a fake AI company, "pretending to be something that one is not or to have some knowledge or ability that one does not really have".
Take Nvidia which is both a Fake AI & AI Washing cause célèbre, and which is traditionally involved with graphical processing units (GPUs), computer chips that help computers form graphics and images through mathematical calculations.? It is a specialized?electronic circuit?to accelerate?computer graphics?and?image processing?(either on a?video card?or embedded on?motherboards,?mobile phones,?personal computers,?workstations, and?game consoles). It could be extended to the training of?neural networks?and?cryptocurrency mining.
It has no learning or inference or machine intelligence capacities, being a GPU with streaming multiprocessors and a faster memory subsystem, be it the Nvidia Hopper H100 GPU or NVIDIA B200 Tensor Core GPUs . Again, it is sold as an "accelerated computing, which will help unlock breakthroughs in data processing, engineering simulation, electronic design automation, computer-aided drug design, quantum computing and generative AI".
Nvidia AI Washing Machine
Nvidia Corporation is an American multinational corporation and technology company headquartered in Santa Clara, California, and incorporated in Delaware.
It is involved with
In June 2024, Nvidia overtook?Microsoft?as the world's?most valuable publicly traded company, with a?market capitalization?of over $3.3 trillion.
Its extraordinary commercial success is mainly due to being a?dominant?supplier of?fake AI hardware and software, and massive AI Washing.
Nvidia is the major AI washing machine, which managed to cause célèbre from
"Now, the world’s most advanced AI platform—NVIDIA AI —brings cutting-edge advancements to every organization. With innovation at every layer—the AI supercomputer, AI platform software, and AI models and services—the possibilities are infinite.
Deep learning ?relies on GPU acceleration, both for training and inference. NVIDIA delivers GPU acceleration everywhere you need it—to data centers, desktops, laptops, and the world’s fastest supercomputers. If your data is in the cloud, NVIDIA GPU deep learning is available on services from Amazon, Google, IBM, Microsoft, and many others".
To have full picture , in June 2024, the Federal Trade Commission (FTC) and the Justice Department (DOJ) began antitrust investigations into Nvidia, Microsoft and OpenAI, focusing on their influence in the AI industry. The FTC led the investigations into Microsoft and OpenAI, while the DOJ handled Nvidia.
NVIDIA is as the major Fake AI Washing Machine, which is to bubble burst before soon.
On the Nature of Computing Intelligence
Again, intelligence is not a matter of computing power, computing resources, GPUs or CPUs or NPUs, large data sets, mathematical algorithms or statistical classifiers or some pre-defined scripts or rules-based systems or performing some specific human tasks.
Any powerful intelligence, human or machine is a matter of world's knowledge and its deep causal understanding.
It is world's knowledge and understanding, not training data, which huge amounts of false, fraudulent, mistaken, misled, social media, espionage, counter-espionage, dangerous, and disastrous data. ?Detecting and deleting all that garbage is almost impossible with LLM-based technology.
Current fake AI models like ChatGPT-4o only cost about $100 million, but the cost of training these models is to go up to $10 or even $100 billion in as little as three years from now.
Anthropic CEO reveals that AI models costing $1 billion to train are in the works, with $100 billion models on the horizon. This episode explores the implications of these developments on the future of machine learning and the potential risks and benefits they present.
Pouring multi-billions and even trillions of $$$ into building ultra-massive computer systems, hyping them to magically become ultra-intelligent, is to invent the Fake AI Washing Machine, with all the consequences for humanity.
Conclusion
At any cost, the big tech fake AI world of "AI Washing" should be disrupted by a real AI World of Intelligent Robotics, Man-Machine Hyperintelligence, Hyper-Automation and Innovation.
Again, “Mitigating the risk of extinction from AI should be a global priority alongside other societal-scale risks such as pandemics and nuclear war,”
Resources
Presently it is possible to place orders for the manufacture of a wide variety of materials and components online. For example, there are many ‘on demand’ 3d printing services through which a user can upload their STL file, specify the material, and have the material shipped to their address. There are also some bio cloudlabs in which users can submit a genetic sequence to be synthesized. It is foreseeable that LLMs will be able to directly interact with such services in the future and through that manufacture real-world materials and components to contribute to nuclear, chemical and biological weapons proliferation.
An international security conference explored how artificial intelligence (AI) technologies for drug discovery could be misused for de novo design of biochemical weapons. A thought experiment evolved into a computational proof.
"an AI, in less than six hours and running on a standard hardware configuration, “generated forty thousand molecules that scored within our desired threshold”