In the latest episode of the Dinis Guarda Podcast, Janet Adams, COO of SingularityNET, discusses SingularityNET’s advancements in AGI and ASI development, the migration to ASI tokens, and the convergence of AI and robotics for real-world applications, including humanoid robots and sustainable housing projects. The podcast is powered by Businessabc.net, Citiesabc.com, Wisdomia.ai, and Sportsabc.org.
Janet Adams is the Chief Operating Officer (COO) at SingularityNET, leading the operations of the SingularityNET Foundation and the growth of the SNET network and ecosystem. Janet also serves as a Board Director of the Artificial Superintelligence (ASI) Alliance. The ASI Alliance is a global collective formed by Fetch.ai, SingularityNET, and Ocean Protocol, and later joined by CUDOS, focused on developing decentralised Artificial General Intelligence (AGI) and Artificial Superintelligence (ASI).
During the interview with Dinis Guarda, Janet Adams discusses the development of AGI:
“Today’s big tech is developing AI tools for the top 1% of the planet, which is leaving everybody behind. If you ask me, 99% counts as everybody, leaving everybody behind except the richest people.
AI will take human jobs, there’s no getting away from that. This is why we’re dedicated to education and advancing reskilling. If I were to summarise my career, I’ve constantly reinvented myself.
When AGI takes over the grunt work, humans can focus on what they love: music, art, yoga, and spiritual development. Will AI act in humans’ interests, or will it act on its own? We want the AI to be fed by great ethics data so that it looks after us as its precious ancestors, just as we are the most intelligent species, as far as we know today.
AGI will operate at a different speed than we. It will be so fast that we’ll be as slow as a painting on the wall. AGI may look after us as their beloved ancestors, learning from us and cherishing our creativity.“
AGI and ASI development
“I used to say AGI is going to be number one because our technologies are going to dramatically, fundamentally change the world, and we’re already seeing some benchmarking for just even small parts of our toolkit, which are becoming available in products.
I struggle to see how any project can compete with ASI. I see an extremely bright and hitherto unprecedented growth in the crypto markets in the global size of the cryptocurrency movement, driven by ASI.
We are very, very grateful to all our communities, the community now, the ASI community, but the communities that came together from Singularity Net, Ocean Protocol, Fetch.ai, and CUDOS to form the community base of Singularity Net. The community is now seeing the first products being released from SingularityNet this year, and coming now, the absolute incredible brilliance of Ben Goertzel is, I spoke with him recently about this, it’s blossoming.
As the interview continues, Janet discusses the migration from AI tokens to the ASI (Artificial Superintelligence) token:
“I have the greatest admiration for the cryptocurrency movement, the cipherpunks who started cryptocurrency, for me, the audaciousness of saying the financial system of the world doesn’t work for everybody, we’re going to start a new one. It’s just, you know, one of the most pivotal and important steps in our evolution as a species and has, as you say, laid the groundwork for us at SingularityNet and for all of these decentralised movements.
We have Quello, which is a deep research project that does an absolutely beautiful, really, really usable knowledge graph visualisation. We have ASI Create to enable all of the agents to speak with each other, to communicate together, to perform actions together.
We have our Hyperon MVP platform being released, we have our Meta Cycle AI Blockchain layer, ASI One, ASI Zero, blockchain being released, which is optimised for AI on the internet and highly scalable, highly secure, and highly private.
Crypto at the moment is three and a half percent of that [global economy], how much of that hundred trillion is driven by technology and imagine like massively serious proportions of that flooding into Web3.”
AGI arms race
Janet discusses the current state of AI research, emphasising the importance of diversity in AI development:
“Diversity in our AI approach is clearly essential. In evolutionary sciences, it is diversity that has enabled evolution and progress.
Research has shown that diverse teams make better decisions because, if I come back to the banking crisis of 2008, there were no dissenting voices, huge advantages to better decision making and better choices when you have different ways of thinking involved in every finding a solution for every problem.
There are 150 to 200,000 AI researchers, but 99% of them are focused on neural networks, which have their limitations.
We have the most diverse leadership team in technology, and diversity is key because we need to make sure that the AGI we develop is for the benefit of everybody, not just one socioeconomic group.
We can have unlimited, infinite scalability in our developer base. We can develop decentralised developer communities, without us having to manage them in a centralised way.
We can get way more than 150,000 or 200,000 developers because we’ve got the whole globe—presence in Africa, India, South America, and developers all over the world want to work with us.
We can have all of that diversity of developers with the full suite of diversity of AI methods and tools that can interact with each other on our hyper platform and what that will give rise to is like natural evolution of methods and natural evolution of of methods evolution of evolutionary algorithms or logical reasoning systems or neurosymbolic methods or all of the classic methods they can evolve together and the pace of AI progress and development is blistering in the planet at the moment i don’t know how many new algorithms a day get get released and invented.
Decentralised AI will evolve faster than centralised technology because we can deploy AI in a more cost-effective, scalable, and environmentally friendly manner. A centralised technology stack running on GCP or AWS is expensive, environmentally unsustainable, and its scalability is limited by the resources of the organisation. Decentralised AI is more cost-effective, scalable, and growing faster.
We’re in with such a good chance of winning this AGI race, and it’s a very good thing that we have leaders like Ben and Trent McConna, who are pioneers in using this not for personal wealth but for the wealth of everyone in the world.”
Humanoid robots and future innovations
Janet shares insights about the advancement of humanoid robots and how AI and robotics are converging to have real-world applications in various industries:
“Our deep funding initiative is really a cornerstone in driving community support. We have allocated over 7.1 million dollars across 143 projects with contributions from more than one and a half thousand innovators globally.
One initiative is our BGI Nexus, a global community dedicated to advancing beneficial AI and AGI in partnership with deep funding. It’s currently supporting 10 projects focused on responsible AI development and ethics.
David Hansen is the master; he’s the absolute master. He pioneered the entire space with the Sophia robot. David Hansen’s humanoid robots really do inspire relationships and authentic emotional responses. Our studies show, and a lot of research shows, that a robot like Sophia or Desdona can touch the heart of a human.
We’re also building our mind children’s robot, which is a three-foot-high robot. What these robots can do is effectively act as a user interface for our AGI.
Our social robotics can teach children education. They interact very well with robots instead of humans, lessening the workload on humans, enabling them to focus on more nurturing and creative aspects of education.
SingularityNET and the ASI Alliance are partnered with Alma LMO, a French housing association, to bring increased productivity and support the development of sustainable, affordable housing.
We’re working with CUDOS, MUNT, and Fetch on energy agents. We’re working with Ocean on weather prediction, bringing all our technologies to real-world use cases.
There’s a lot of robotics in construction automation. Watch this space because one of our models is focused on the decentralised development of algorithms for robotic processes in construction.”
Shikha Negi is a Content Writer at ztudium with expertise in writing and proofreading content. Having created more than 500 articles encompassing a diverse range of educational topics, from breaking news to in-depth analysis and long-form content, Shikha has a deep understanding of emerging trends in business, technology (including AI, blockchain, and the metaverse), and societal shifts, As the author at Sarvgyan News, Shikha has demonstrated expertise in crafting engaging and informative content tailored for various audiences, including students, educators, and professionals.
