We recently benchmarked J4 Stochastic Learning (J4 SL) versus tri-layered neural networks and hyperparameter optimized neural networks, and documented the test methods and results in a whitepaper that we just published on our J4 AI website. The summary: J4 Stochastic Learning is about four times more accurate, two to three orders of magnitude faster, and uses two to three orders of magnitude less power. We believe these benefits extend to more complex training scenarios, such as the popular LLM’s built using the GPT approach. We also see the same improvements for inference, not just for model training. All these factors mean that J4 Stochastic Learning can deliver better model performance at a small fraction of the heavyweight costs required by the current LLM approach.
You can download the whitepaper here, and you can find more info at j4cap.com.
J4 Capital LLC is a registered investment adviser whose founder created the only known artificial superintelligence. The firm’s supercomputer is designed to predict market behavior for liquid exchange-traded securities. To demystify this space, we have highlighted the frequently asked questions (FAQs) below.
How does Artificial Superintelligence (ASI) differ from Artificial Intelligence (AI)? As AI is changing the world, Artificial Superintelligence is the next generation of AI, providing predictive technology, resolving outsized problems. Most importantly, the Superintelligence has the ability to self-code. J4 Capital’s supercomputer is designed to program itself, dynamically developing its own theorems, surpassing human capability and capacity. J4 Capital’s CEO Jeff Glickman, a technology trailblazer, holds foundational patents from the 1990s for what ultimately became modern machine learning. In 2005, he created the only known artificial superintelligence (ASI). In 2019, J4 Capital deployed its Artificial Superintelligence to intraday trading on the U.S. equity markets. J4 Capital’s proprietary trading technology continuously adapts to changing market conditions, trading highly liquid public securities intraday. Unlike most investment firms, J4 Capital has developed a private cloud technology infrastructure which is highly secure and scalable.
How is J4 Capital’s trading strategy unique? J4 Capital has constructed an artificial superintelligence (self-programming prediction technology) based on the EFFICIENT market hypothesis. Unlike the search for inefficient asset pricing (leading to crowded trades and low accuracy) which is applied by many large investment firms managing liquid securities portfolios, J4 Capital is trading the efficient market, utilizing its dynamic self-programming process. In addition, unlike a black box employed by many well-known investment firms that use AI, J4 Capital’s technology is a white box. The supercomputer’s process is fully traceable.
Where else can Artificial Superintelligence (ASI) be applied? Artificial Superintelligence has broad applications in the investment and financial services sector. In addition, over the next several years, ASI capabilities will be applied to many sectors such as government and military applications, manufacturing and supply chain logistics, healthcare and pharmaceutical, legal analysis, marketing, media and transportation.
WOODINVILLE, WA, June 28, 2022 /24-7PressRelease/ — Marquis Who’s Who, the world’s premier publisher of biographical profiles, is proud to honor Jeff Glickman with his induction into Who’s Who in the World. Having previously been inducted into Who’s Who in America, Jeff Glickman celebrates many years’ experiences in his professional network, and has been noted for achievements, leadership qualities, and the credentials and successes he has accrued in his field.
