blog post

AI Machines Can Now Create Other AI Machines

In a development that’s poised to revolutionize the field of artificial intelligence, a team of U.S. scientists has made a groundbreaking discovery: AI systems that can independently create other AI systems, which marks a significant leap in the evolution of machine intelligence.

The collaborative effort involving Aizip Inc., the Massachusetts Institute of Technology, and various University of California campuses has led to the creation of large AI models capable of spawning smaller, more specialized AI applications. These applications, according to the research team, have far-reaching implications across a spectrum of industries.

Yan Sun, the CEO of Aizip, explained the process as akin to a familial relationship, where a ‘big brother’ AI helps develop its ‘younger sibling.’

A Fully Integrated Intelligence Ecosystem Coming to a Theater near You Soon

This analogy underscores the nurturing and developmental aspect of this new AI technology. Yubei Chen, a U.C. Davis professor and co-founder of Aizip, further elaborated that this synergy between large and small models could result in a fully integrated intelligence ecosystem.

The applications of this technology are varied and impactful. In the realm of healthcare, these AI models could revolutionize how we approach patient care, with AI systems capable of analyzing vast amounts of medical data to assist in diagnosis and treatment plans. In environmental conservation, AI could track and analyze wildlife migration patterns, offering crucial data for preservation efforts.

One of the most striking demonstrations of this technology is a human activity tracker, a device no bigger than a dime, yet capable of gathering and analyzing complex motion data. This device exemplifies ‘tiny machine learning’ – the ability to fit sophisticated AI systems into extremely small hardware.

This advancement paves the way for what Sun describes as pervasive AI, where intelligence is embedded in everyday objects, making them capable of learning and adapting to human needs.

Chen envisions a future where this technology is not just confined to high-powered computing environments but is integrated into the fabric of daily life. From smart homes to intelligent transportation systems, the potential applications are limitless.

Beware the Unknown

However, with this advancement comes a set of challenges and ethical considerations.

The autonomy of AI in creating other AI systems raises questions about control, security, and the potential for a bizarre set of unforeseen outcomes. The research team, aware of these concerns, emphasizes the importance of continued ethical oversight and rigorous testing to ensure that this technology serves humanity positively.

But, to our brains, this is the usual and customary virtue signaling that MUST accompany all GenAI advancements these days. We are settled comfortably on what we believe are three indisputable facts:

  1. AI will never be regulated in any meaningful way, and
  2. Human nature will prevail with this technology as it always has, and
  3. We will arrive at sentient versions within a year.

There is no doubt that as AI continues to evolve and become more integrated into our daily lives, the work of these scientists will herald a new era of intelligent technology, transforming how we interact with the world around us.

This breakthrough not only demonstrates the incredible potential of AI but also underscores how quickly we can now move toward judgement capable, reasoning AI engines capable of operating independent of human guidance. We are already giving birth to new machines unassisted by human help. How long do we really think it will be before those same machines will dominate the workflows toward which we point them?

We will find out soon enough.

Author

Steve King

Managing Director, CyberEd

King, an experienced cybersecurity professional, has served in senior leadership roles in technology development for the past 20 years. He has founded nine startups, including Endymion Systems and seeCommerce. He has held leadership roles in marketing and product development, operating as CEO, CTO and CISO for several startups, including Netswitch Technology Management. He also served as CIO for Memorex and was the co-founder of the Cambridge Systems Group.

 

Get In Touch!

Leave your details and we will get back to you.