By allowing elites to control AI computing, we invite a crisis in innovation and security. This monopoly stifles the competition, causes dangerous failure points and limits access to one of humanity’s most revolutionary technologies. Decentralized computing networks will democratize the access to innovation and enable innovators worldwide. AI, if it does not undergo this change, will become a profit-driven industry, with its ability to benefit the public irrevocably diminished.
AI is more than a trendy buzzword. AI isn’t just some hype that you hear in marketing or fundraising decks. This technology is going to radically transform every aspect of society — how we work, play, communicate and create. AI is going to have a greater impact than the internet, computing technology, or the printing presses. It will also be key to solving our most pressing problems; diagnosing illnesses with unparalleled accuracy, predicting weather patterns, and making cities smarter.
AI models becoming increasingly complex means that infrastructure needs to be upgraded. Computing resources have become so important that they are now referred to by their new name: “the new oil.” Over the past 13 years the computing power required to train AI has risen by an astounding factor of 350,000,000. Despite this, 90 percent of all data and computing resources in the world are owned by just a few corporations. This is not just an economic issue — it’s a structural vulnerability. One recent example of the risks inherent to centralization was the Crowdstrike outage — one of the largest IT failures in history, which disrupted critical services across healthcare, transportation and emergency sectors, and caused over $1 billion in revenue losses. One of the most important lessons is that centralized infrastructure creates single points for failure. This can be a major liability.
Centralization reduces competition, but it also increases security. The US AI market alone is expected to grow from $118 Billion in 2021, to almost $300 Billion by 2026. My fear is if a small number of companies dominates the AI space, smaller innovators could be shut out. This would create an environment where diverse perspectives and approaches — so vital to humanity’s greatest breakthroughs — are lost. It is important to note that the “end of the beginning” It is easy to see how the AI boom will be marked by stagnation. Innovations are sacrificed for entrenched, entrenched positions. It will also exacerbate existing biases, as it reflects the corporate priorities.
Decentralized computing is a viable option. Distributed networks are based on open infrastructures, and they tap into computational resources such as GPUs found in data centers and personal devices that can provide computing power globally at an affordable price. The AI ecosystem becomes more inclusive as more people and businesses can participate.
As peer-topeer platforms, such as Uber or Airbnb, disrupted industries through democratization of resources and decentralized computing networks are able to do the exact same thing for AI. These systems will be more resilient, deliver better performance, and lower the risks of failures.
Decentralized networks also offer the advantage of cost reduction. Accessing compute resources via a decentralized network would allow AI to be developed more affordably and easily. The collaborative nature and open-source of the networks makes them ideal for scientific research.
You can read more in our opinions section. Web3 doesn’t need flashy — it needs functional
The weak incentives in early efforts of decentralized computing, like BOINC, caused them to fail. The integration of Blockchain technology provides a way to overcome this problem. Decentralized computation networks, by implementing decentralized payment and coordination systems, can increase participation without requiring intermediaries.
AI cannot be controlled by an elite group of techno-gatekeepers. It is now the right time to make investments in decentralized technologies, thanks to the convergence between distributed computing and blockchain infrastructure. The potential benefits are enormous — AI that serves public welfare driven by fairness, openness and trustless infrastructure. We have an obligation to create technological frameworks which support these values. AI in the future should be transparent, accessible and fair. Now is the time to take action if we wish to see these advances serve humanity as a whole.
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