AISHE AI: Autonomous Agent for Earning Money

Shifting Away from the Traditional Interpretation Traditionally, the term "Intelligence Industry" has been closely associated with intelligence agencies and secret services that gather, analyze, and utilize information to gain political or military advantages. This interpretation is focused on secrecy and power. The New Perspective: Knowledge as the Core The new perspective of the "Knowledge Industry" places the term "intelligence" in a broader context. Here, it's not primarily about secrets but about knowledge, information, and understanding . The "Knowledge Industry" encompasses all areas where knowledge is created, managed, disseminated, and used. This spectrum ranges from basic research to the development of new technologies, as well as the application of knowledge in business and society. Focus on Knowledge, Information, and Understanding Knowledge creation: This involves generating new knowledge through research, development, and...

You want to train a dog. Normally, you'd buy some treats, invest a bit of time and patience, and soon your four-legged friend would be sitting on command.  But what if training your dog suddenly cost as much as building a skyscraper?  Welcome to the crazy world of AI training! The Insane World of AI Training Costs: The Staggering Cost of Teaching Machines to Think From Cute Beginnings to Gigantic Wallets There was a time when you could train an AI on a small computer cluster - as cute as a puppy learning its first tricks. But those days are long gone. Today, training an AI is more like trying to teach a whale to dance - in an Olympic-sized swimming pool filled with liquid gold. Sam Altman of OpenAI recently dropped the bombshell: Training ChatGPT cost "significantly more than $100 million". Ouch! That's like spending the equivalent of a luxury car for every "Sit!" and "Stay!" The Cost Explosion: When Bits Become More Expensive Than Diamonds Le...

In the landscape of technology, two forces have emerged as game-changers: cloud computing and generative AI (genAI). These innovations have revolutionized how businesses handle data, offering unprecedented insights and capabilities. However, this progress comes with a hefty price tag, creating a paradox that many companies are struggling to navigate. The Cloud-AI Paradox The Promise and Peril of Cloud-Powered Analytics Cloud computing has become the backbone of modern data analytics. It provides the infrastructure and tools necessary for businesses to harness the power of genAI, offering scalable resources that can handle massive datasets and complex algorithms. This combination has opened doors to advanced analytics capabilities that were once the stuff of science fiction. Imagine a retail company using cloud-based genAI to analyze millions of customer interactions, predicting trends and personalizing experiences in real-time. Or picture a healthcare provider using these technologi...

A system as complex and intelligent as the human brain, taking control of billions of dollars. It analyzes vast amounts of data in fractions of a second, recognizes patterns invisible to the human eye, and makes lightning-fast decisions. Sounds like science fiction? It's not. This system already exists and is called AISHE. AISHE is not just a tool, but a partner that helps us master the complexity of financial markets AISHE is no ordinary trading system. It's a digital financial guru revolutionizing financial markets. With its unique combination of artificial intelligence and human expertise, AISHE navigates the stormy waters of the financial world to identify profitable trading opportunities. The Secret Formula Behind the Success What makes AISHE so special? The answer lies in its holistic view of the markets. While traditional trading systems often rely solely on quantitative data, AISHE also considers qualitative factors such as human emotions, political events, and societ...

Welcome to the wondrous world of TSUBAME 4.0 Supercomputer, where computing power reaches astronomical proportions and dreams of conquering the universe become a (slightly exaggerated) reality. Brace yourself for an epic journey through the depths of this remarkable machine. (toc) #title=(content list)   Technical Details of TSUBAME 4.0 Architecture: x86_64 CPU with CUDA GPU support Computing Performance: 66.8 petaflops in double precision, 952 petaflops in half precision GPUs: 960 NVIDIA H100 Tensor Core GPUs Processors: 240 HPE Cray XD6500 series servers with 4th generation AMD EPYC processors Memory: 768GiB of main memory per computing node Storage: Cray ClusterStor E1000 with 44.2 PB of hard disk-based shared storage and 327 TB of SSD-based high-speed storage Network: NVIDIA Quantum-2 InfiniBand network interface with 100 Gbps connection via SINET6 Software: Support for CUDA and various computational science and technology frameworks Usability: Virtualization t...

Stanford University’s AI Index Report 2023: The Current State of AI Research Stanford University’s AI Index Report 2023: The Current State of AI Research Artificial intelligence (AI) used to be an exciting field of research, but now it has become primarily a money-making field for those who already have a lot of it. This is one of the key takeaways from Stanford University's AI Index Report 2023, which was recently published. The report provides a comprehensive overview of the state of AI research and its impact on society. One of the key findings of the report is that up until 2014, most of the major machine learning models were developed by public research institutions. However, the tech industry has now taken over the field, with 32 out of 35 major machine learning models released last year being developed by companies. This has led to a renewed concentration of power among tech companies, which have the resources required to develop state-of-the-art AI systems, such as supercom...