In a sense, Artificial General Intelligence is the field or “theoretical lens,” in which it is believed that humans and AIs will become identical over time. A small AI firm called SingularityNET, which we have introduced you to before, is actually calling its’ primary platform AGI, though this should not be confused with the idea of Artificial General Intelligence. If you remember our previous piece on SingularityNET, then you will recall that they want to be the world’s first decentralized AI network, which anyone can use. Therefore, we can say here that they are aiming to be a niche version of what the Golem Network is already shaping up to be, as the world’s first decentralized supercomputer.
At the same time, there’s a very similar company called DeepBrainChain, which hails from the burgeoning tech haven of Singapore and styles itself as a “decentralized AI computing platform,” that depends heavily on the cloud. As of June 12th this year, it was announced via Medium that these two companies were effectively working on becoming one. With the fact that at face value, there seems to be no difference between them, you are not off-base if you find yourself currently wondering why they would partner up instead of competing for the same resources.
If you judge merely by DeepBrainChain’s Medium announcement on the subject, then it appears possible that both projects realized a specific advantage that one had and the other did not. Because SingularityNET wants to be the world’s first and most efficient decentralized AI network, we could then conclude that they saw DeepBrainChain’s foray into the cloud as a partnership opportunity to scale more efficiently. In DeepBrainChain’s case, the answer to this requires a bit more analysis.
Is there truly a difference between being a decentralized AI network and a decentralized AI computing platform? If you dig deeper into what both companies want to provide to their users, the answer is actually a resounding yes. When we circle back to our SingularityNET piece, you’ll remember that their network intends to begin by hosting only three types of projects, which are, namely: cloud robotics projects, biomedical research projects, and Cybersecurity projects. Because of this, another connection exists between SingularityNET and their new partner in that one could place DeepBrainChain into the group titled, “cloud robotics projects.” In that sense, we then have a general rationale for why SingularityNET would consider any investment into DeepBrainChain.
What are still less clear is what this partnership means on a deeper level, as I have previously suggested. Judging by SingularityNET’s announcement, the answer seems to be that both of the companies are looking to improve the way that they share and process data while doing the operations that they set out to do. Thus, if this is taken to be true, the partnership is nothing more than an effort to increase the efficiency of both of the firm’s networks.
Even so, according to SingularityNET, the actual aim of the partnership is to get closer to its goal of democratizing access to AI algorithms. They clarify this by stating that the idea for the partnership actually sprung from the perceived monopoly that companies like Google and Amazon have over the AI industry. Thus, the agreement is not only about network efficiency, but also about decentralizing access to the world’s best work in AI.
Over time, we’ll continue with the latest developments related to these two firms. For now, imagine a world in which an AI system is accessible to everyone.
References:
DeepBrainChain and SingularityNET Partnership Announcement(From DeepBrainChain): https://medium.com/deepbrainchainglobal/partnership-announcement-deepbrain-chain-x-singularitynet-3329e32795f
DeepBrainChain and SingularityNET Partnership Announcement(From SingularityNET): https://community.singularitynet.io/t/singularitynet-partners-with-deepbrain-chain-to-create-an-open-democratic-ai-future/923
