#blockchain development platform

[mobiloittesingaporepost]

Blockchain Development Services  in Singapore Mobiloitte

Mobiloitte, a Singapore company, is a pioneer in blockchain development services, offering custom blockchain solutions and private blockchain development. With expertise in blockchain development, we provide innovative solutions, creating secure and efficient blockchain platforms. Trust Mobiloitte for top-tier blockchain development services and harness the power of this transformative technology to fuel your business growth.

[socialnidhi]

check it out for your better future.

[web3dev]

Empower your dApp journey with KrypCore, your one-stop solution for streamlined dapp development. Unleash the potential of our APIs, SDK, and cutting-edge web3 tools for a seamless and powerful dApp creation experience.

[metaboxfy]

Cryptocurrency exchange development company

Metaboxfy, India's leading cryptocurrency exchange development company, empowers you to create your own cryptocurrency exchange software. With Metaboxfy, you can establish a platform that functions like any other exchange, but with the added advantage of a finely tuned algorithm that ensures precise and rapid transaction processing. Trust the expertise of Metaboxfy, the premier Cryptocurrency exchange development company in India.

Check It Out!

[assetfinx]

Unleash Your Inner Entrepreneur: Dive into the World of NFT Gaming with Axie Infinity

NFT Games And Blockchain-Based Gaming Platforms Have Been Quite Popular In Recent Years Due To Their Advanced And Unique Features. Axie Infinity Is One Such Popular Game That Has Attracted The Interest Of The Gaming World. Axies Are A Type Of Blockchain Game That Allows Players To Collect, Breed, And Battle Creatures.

According To The Report, Axie Infinity Reached 2.9 Billion USD And Will Be Reaching Many In The Upcoming Future. Therefore, It Is Clear That The Game Has Become A Huge Success And Will Be A Wise Long-Term Investment. Hence, Numerous Business People Are Trying To Use An Axie Infinity Clone Script To Develop Their Own Version Of The Game.

Axie Infinity Clone Script 

Axie Infinity Is An NFT Game That Was Created Similar To The Game Called “Pokemon”. They Are Fully Blockchain-Enabled, And The Game Is Where Players Can Participate And Earn Tokens For Their Choice. The Player Can Gather, Breed, Create A Kingdom, And Fight Off Enemies In This Adventure Game. It's A Game Where You Can Gather Resources, Improvise, And Sell Game Assets To Get Some Money.

Axie Infinity Clone Script Is The Ready-Made Solution That Enables Business Owners To Launch A Game That Is Identical To Axie Infinity. Including Gameplay Mechanics, Aesthetics, Smart Contracts, And Payment Integrations, It Has All The Necessary Features And Functionalities. As Opposed To Creating The Game From Scratch, It Enables Business Owners To Launch Their Own Version Of The Game Quickly And At An Affordable Cost. Additionally, It Provides Versatility, Enabling Business Owners To Modify The Game In Accordance With Their Needs And Preferences.

How AssetfinX Supports You In Achieving Your Business Aspirations?

Look No Further Than AssetFinx If You're Seeking The Best Axie Infinity Clone Script. AssetFinx Is The Ideal Option For Anyone Wishing To Create A Profitable Gaming Platform Due To Their Years Of Experience In Blockchain Development And Proficiency In Developing Top-Notch Gaming Solutions.

AssetfinX - A Top-Tier Metaverse Development Company Meticulously Designs Games To Accurately Create The Gameplay With Features Of The Original Game. You Can Be Confident That AssetfinX Will Provide You With A Top-Notch, Scalable, And Secure Gaming Platform That Will Enthrall Your Players And Increase Engagement.

So Why Would You Settle For Anything Less? Pick The AssetFinx Axie Infinity Clone Script And Take The First Step Toward The Launch Of Your Dream Gaming Platform Now!

Other Gaming Clone We Offer,

1. Fortnite Clone 

2. My Neighbor Alice Clone

3. Roblox Clone

4. Horizon World Clone

5. Second Life Clone

Talk With Experts!

Whatsapp: +91 9843555651 

Phone: +91 72001 65728

Telegram: @Sales_Assetfinx 

Mail: contact@assetfinx.net

[crryptoblogs]

How to Launch a Cryptocurrency Exchange Using White-Label Crypto Solutions

Introduction

The cryptocurrency market is booming, and more businesses are jumping into the space by launching their own exchanges. But how can you get started without building everything from scratch? The answer lies in white-label crypto solutions.

By using a white-label solution, you can quickly and cost-effectively launch your own Centralized Crypto Exchange with all the features you need, without the complexity of custom development. In this post, we’ll walk you through the simple steps to get your exchange up and running using white-label crypto solutions.

What is a White-Label Crypto Solution?

A white-label crypto solution is essentially a pre-built cryptocurrency exchange platform that you can rebrand and customize to fit your needs. It’s like buying a ready-made framework that you can adjust with your branding, logo, and specific features. These solutions are developed by experienced Centralized Crypto Exchange Providers who ensure that everything works securely and efficiently.

With white-label solutions, you don’t have to worry about the technical details like security protocols, liquidity, or trading engines; they're all included. You just need to focus on making your platform stand out and meeting your business goals.

Why Choose White-Label Solutions?

There are several reasons businesses choose white-label crypto solutions over custom development:

Cost-Effective: Developing a custom exchange can be expensive. With a white-label solution, you get a fully functional platform at a fraction of the cost.

Fast Launch: White-label solutions are ready to go, allowing you to launch your exchange much quicker than if you were developing from scratch.

Security: These solutions come with built-in security features, reducing the risk of hacks and vulnerabilities. Plus, they’re regularly updated to stay ahead of new threats.

Customizable: Even though it’s pre-built, you can still tweak the platform’s design and features to fit your business needs.

Regulatory Compliance: A good Centralized Crypto Exchange Development Company will make sure your platform meets local and international regulations, so you can operate without legal issues.

How to Launch Your Exchange with White-Label Solutions

Step 1: Choose the Right Development Company

The first step is to find a trusted Centralized Crypto Exchange Development Company. You want a team that’s experienced and offers a solid white-label solution with good customer support.

Step 2: Define Your Features and Branding

Once you've selected your white-label solution, think about what features you need for your exchange. Do you want to offer fiat-to-crypto trading or crypto-to-crypto? What cryptocurrencies will you support? This is also the time to start customizing the look and feel of the platform to match your brand.

Step 3: Legal and Compliance Checks

Make sure the solution is compliant with KYC (Know Your Customer) and AML (Anti-Money Laundering) regulations. Your Centralized Crypto Exchange Provider will likely help you integrate these features into your platform to ensure it meets legal requirements.

Step 4: Integrate Payments and Security Features

Set up payment gateways for deposits and withdrawals. Also, ensure you have security features like two-factor authentication (2FA) and cold storage for crypto assets. These features are essential for protecting your users and ensuring trust.

Step 5: Launch and Promote Your Exchange

Once everything is set up, it’s time to launch. Spread the word through social media, ads, and online marketing. The key is to get as many users as possible on your platform and keep them engaged.

Why Work with a Crypto Exchange Development Company?

A Crypto Exchange Development Company doesn’t just provide a white-label solution they also offer ongoing support, regular updates, and expert advice to ensure your exchange runs smoothly. They handle the technical aspects while you focus on growing your business and attracting traders.

Conclusion

Launching your own cryptocurrency exchange has never been easier, thanks to white-label crypto solutions. By partnering with a Centralized Crypto Exchange Development Company, you can quickly bring your exchange to market while benefiting from a secure, customizable platform. Whether you’re aiming to support fiat-to-crypto trades or crypto-to-crypto, a white-label solution gives you the flexibility to build the exchange you need with minimal hassle.

So, if you're ready to enter the crypto space, consider using a white-label solution as your starting point. With the right tools and a solid development partner, your exchange could be alive and thriving in no time.

[simulanissolutions]

In today’s rapidly evolving digital landscape, the concept of the metaverse has gained significant traction. As businesses and individuals seek to create immersive experiences that bridge the gap between the physical and virtual worlds, companies like Simulanis Solutions have emerged as leaders in this innovative space. As a premier Metaverse Development Company, Simulanis is dedicated to pushing the boundaries of what’s possible in digital interaction

[jcmarchi]

Matthew Ikle, Chief Science Officer at SingularityNet – Interview Series

New Post has been published on https://thedigitalinsider.com/matthew-ikle-chief-science-officer-at-singularitynet-interview-series/

Matthew Ikle, Chief Science Officer at SingularityNet – Interview Series

Matthew Ikle is the  Chief Science Officer at SingularityNET, a company founded with the mission of creating a decentralized, democratic, inclusive and beneficial Artificial General Intelligence. An ‘AGI’ that is not dependent on any central entity, that is open for anyone and not restricted to the narrow goals of a single corporation or even a single country.

SingularityNET team includes seasoned engineers, scientists, researchers, entrepreneurs, and marketers. Our core platform and AI teams are further complemented by specialized teams devoted to application areas such as finance, robotics, biomedical AI, media, arts and entertainment.

Given your extensive experience and role at SingularityNET, how confident are you that we will achieve AGI by 2029 or sooner, as predicted by Dr. Ben Goertzel?

I am going to answer this question in a bit of a roundabout way. 2029 is roughly five years from now. Many years ago (early-mid 2010s), I was extremely optimistic about AGI progress. My optimism at the time was founded on the level of detailed thought and convergence of ideas I witnessed in AGI research at the time. While most of the big ideas from that era, I believe, still hold promise, the difficulty, as is often the case, comes from fleshing out the details of such broad-stroke visions.

With that caveat in mind, there is now a plethora of new information, from numerous disciplines – neuroscience, mathematics, computer science, psychology, sociology, you name it – that provides not just the mechanisms for finishing those details, but also conceptually supports the foundations of that earlier work. I am seeing patterns, and in quite divergent fields, that all seem to me to be converging at an accelerating rate toward analogous sorts of behaviors. In many ways, this convergence reminds me of the period of time prior to the release of the first iPhone. To paraphrase Greg Meredith, who is working on our RhoLang infrastructure for safe concurrent processing, the patterns I see these days are related to origin stories – how did the first life/cell begin on earth? How and when did mind form? And related questions regarding phase transitions for example.

For example, there is quite a bit of new experimental research that tends to support the ideas underlying a complex dynamical systems viewpoint. EEG patterns of human subjects, for example, display remarkable behavior in alignment with such system dynamics. These results harken back to some much earlier work in consciousness theories. Now there appears to be the beginnings of experimental backup for those theoretical ideas.

At SingularityNET, I am thinking a lot about the self-similar structures that generate such dynamics. This is quite different, I would argue, than what is happening in much of the DNN/GPT community, though there is certainly recognition among certain more fundamental researchers of those ideas. I would point to the paper “Consciousness in Artificial Intelligence: Insights from the Science of Consciousness” released by 19 researchers in August of 2023, for example. The researchers spanned a variety of disciplines including consciousness studies, AI safety research, brain science, mathematics, computer science, psychology, neuroscience and neuroimaging, and mind and cognition research. What those researchers have in common is bigger than a simple quest for the next incremental architectural improvement in DNNs, but instead they are focused on scientifically understanding the big philosophical ideas underpinning human cognition and how to bring them to bear to implement real AGI systems.

What do you see as the biggest technological or philosophical hurdles to achieving AGI within this decade?

Understanding and answering big philosophical and scientific questions including:

What is life? We may think the answer is clear, but biological definitions have proven problematic. Are viruses “alive” for example.

What is mind?

What is intelligence?

How did life emerge from a few base chemicals in specific environmental conditions? How could we replicate this?

How did the first “mind” emerge? What ingredients and conditions enabled this?

How do we implement what we learn when investigating the above five questions?

Is our current technology up to the task of implementing our solutions? If not, what do we need to invent and develop?

How much time and personnel do we need to implement our solutions?

SingularityNET views neuro-symbolic AI as a promising solution to overcome the current limitations of generative AI. Could you explain what neuro-symbolic AI is and how SingularityNET plans to leverage this approach to accelerate the development of AGI?

Historically, there have been two main camps of AGI researchers, along with a third camp blending the ideas of the other two. There have been researchers who believe solely in a sub-symbolic approach. These days, this primarily means using deep neural networks (DNNs) such as Transformer models including the current crop of large language models (LLMs). Due to the use of artificial neural networks, sub-symbolic approaches are also called neural methods. In sub-symbolic systems processing is run across identical and unlabeled nodes (neurons) and links (synapses). Symbolic proponents use higher-order logic and symbolic reasoning, in which nodes and links are labeled with conceptual and semantic meaning. SingularityNET follows a third approach which would be most accurately described as a neuro-symbolic hybrid, leveraging the strengths of symbolic and sub-symbolic methods.

Yet it is a specific sort of hybrid largely based on Ben Goertzels’ patternist philosophy of mind and detailed in, among many other documents, his screed “The General Theory of General Intelligence: A Pragmatic Patternist Perspective”.

While much of current DNN and LLM research is based upon simplistic neural models and algorithms, the use of mammoth datasets (e.g. the entire internet), and correct settings of billions of parameters in the hopes of achieving AGI, SingularityNET’s PRIMUS strategy is based upon foundational understandings of dynamic processes at multiple spatio-temporal scales and how best to align such processes to prompt desired properties to emerge at different scales. Such understandings enable us to proceed to guide AGI research and development in a human understandable manner.

What frameworks do you believe are critical to ensure that AGI development benefits all of humanity? How can decentralized AI platforms like SingularityNET promote a more equitable and transparent process compared to centralized AI models?

All kinds of ideas here:

Transparency — While nothing is perfect, ensuring complete transparency of the decision-making process can help everyone involved (researchers, developers, users, and non-users alike) align, guide, understand, and better handle AGI development for the benefit of humanity. This is similar to the problem of bias which I will touch on below.

Decentralization – While decentralization can be messy, it can help ensure that power is shared more broadly. It is not, in itself, a panacea, but a tool that, if used correctly, can help create more equitable processes and results.

Consensus-based decision-making – decentralization and consensus-based decision making can work together in the pursuit of more equitable processes and results. Again, they don’t always guarantee equity. There are also complexities that need to be addressed here in terms of reputation and areas of expertise. For example, how can we best balance conflicting desired characteristics? I view transparency, decentralization, and consensus-based decision-making, as just three critically important tools that can be used to guide AGI development for the benefit of humanity.

Spatiotemporal alignment of emergent phenomena across multiple scales from the extraordinarily small to the inordinately large. In developing AGI, I believe it is important to not just rely on a single “black-box” approach in which one hopes to get everything correct at the outset. Instead, I believe designing AGI with fundamental understandings at various development stages and at multiple scales can not only make it more likely to achieve AGI, but more importantly to guide such development in alignment with human values.

SingularityNET is a decentralized AI platform. How do you envision the intersection of blockchain technology and AGI evolving, particularly regarding security, governance, and decentralized control?

Blockchain certainly has a role to play in AI control, security, and governance. One of blockchain’s biggest strengths is its ability to foster transparency. The question of bias is a great example of this. I would argue that every person and every dataset is biased. I have my own personal biases, for example, when it comes to what I believe is required to achieve truly safe, beneficial, and benevolent AGI. These biases were forged by my studies and background and they guide my own work.

At the same time, I try to be completely open to ideas that conflict with my biases and am willing to adjust my biases based upon new evidence. Regardless, I try my best to be open and transparent with respect to my biases, and to then condition my ideas and decisions based upon a self-reflective understanding of those biases. It is tricky, it is difficult but, I believe, better than not acknowledging one’s own biases. By its nature, blockchain allows for better and transparent tracking, tracing, and verification of processes and events. In a similar manner as I described previously, transparency is a necessary, but not always sufficient, component for security, governance, and decentralized control.

How blockchain and AGI co-evolve is an interesting question. In order that the two technologies interact toward a positive singularity, it seems clear that the fundamental characteristics I keep pointing at (transparency, decentralization, consensus, and values alignment), are central and critical and must be kept in mind at all stages of their co-evolution.

As a leader who has been closely involved in both AI and blockchain, what do you believe are the most important factors for fostering collaboration between these two fields, and how can that drive innovation in AGI?

I come from the AI/AGI side of that pair. As is often the case when integrating cross-disciplinary ideas, much comes down to matters of language and communication. All groups need to listen to each other in order to better understand how the technologies can help one another. In my job at SingularityNET, this has been a constant struggle. High-end researchers, which it would be an understatement to say that SingularityNET has in abundance, often have clear mental conceptions of big ideas. When working across disciplinary boundaries, the difficult part is realizing that not everyone is “in your head”. What one takes for granted, will not be so clearly observed from those in other fields. Even words used in common can be used differently across different fields of study. There was a recent case in our BioAI work, in which biologists were using a mathematical term, but not entirely correctly in terms of its mathematical definition. Once those sorts of situations are clearly understood, the team can move forward with common purpose so that the integration truly proves the whole greater than the sum of its parts.

How do you see the AI and blockchain industries working towards greater diversity and inclusion, and what role does SingularityNET play in promoting these values?

AI and blockchain can both play major roles in improving diversification and inclusion efforts. Although I believe it is impossible to remove all bias – many biases form simply through life experiences – one can be open and transparent about one’s biases. This is something I actively strive to do in my own work which is biased by my academic background so that I see problems through a lens of complex system dynamics. Yet I still strive to be open to and understand ideas and analogies from other perspectives. AI can be harnessed to aid in this self-reflection process, and blockchain can certainly aid with transparency. SingularityNET can play a huge role by hosting tools for detecting, measuring, and removing, as much as is possible, biases in datasets.

How does SingularityNET’s work in decentralized AI ecosystems contribute to solving global challenges such as sustainability, education, and job creation, especially in regions like Africa, where you have a special interest?

 Sustainability:

Applying AI and system models to solve complex ecosystem problems at massive scale.

Monitoring such solutions at scale.

Using blockchain to track, trace, and verify such solutions.

Using a combination of AI, ecosystem models, hyper-local data, and blockchain, we have ideated complete solutions to artisanal mining in Africa, and agricultural carbon sequestration at scale.

Education:

As a former tenured full professor of mathematics and computer science, education is extremely important to me, especially as it provides opportunities to underserved student populations. It is important to:

Enhance accessibility by developing hybrid courses to reach students who may face geographical, financial, or time constraints.

Promote diversity and Inclusion by Increasing the participation of underserved populations in AI, blockchain, and other advanced technologies.

Foster interdisciplinary knowledge by creatin courses that bridge academic and professional fields.

Support career advancement by providing skills and certifications that are directly applicable to the job market.

I view both AGI and blockchain, and their synergies, as playing critical roles addressing the above objectives within “apprenticeship to mastery” style programs centered upon hands-on project-based learning.

Job Creation:

By fostering the four educational objectives above, it seems to me AGI, blockchain, and other advanced technologies, coupled with positive collaborations among teachers and learners, could encourage and spawn entire new technologies and businesses.

As someone committed to achieving a positive singularity, what specific milestones or breakthroughs in AI technology do you believe will be necessary to ensure that AGI develops in a beneficial way for society?

Ability to align emergent phenomena in human interpretable manners across multiple spatiotemporal scales.

Ability to understand at a deeper level the concepts underlying “spontaneous” phase transitions.

Ability to overcome multiple hard problems at a fine detail to enable true multi-processing through state superpositions.

Transparency at all stages.

Decentralized decision-making based upon consensus building.

Thank you for the great interview, readers who wish to learn more should visit SingularityNET.

[synsoft]

Explore how blockchain and IoT convergence drives smarter, secure, and connected solutions across industries. Discover the impact of this tech synergy in our blog! https://medium.com/@synsoftglobal/building-a-smarter-future-the-convergence-of-blockchain-and-iot-f3a12a26c69c

[assettokenzination]

Transforming Property Investment: Real Estate Tokenization Development

Real estate tokenization development revolutionizes how properties are bought and sold. By converting physical assets into digital tokens, investors can gain fractional ownership, enhancing liquidity and accessibility. This innovative approach streamlines transactions, reduces costs, and opens up real estate investments to a broader audience. With expert guidance, real estate tokenization development ensures compliance and security, paving the way for a more efficient market.

[jimmy-stuart-crypto-exchange]

Enjoy Benefits of Working with a Privileged Crypto Exchange Development Company

Do you have a great idea but exchange development seems daunting? Antier enables you to build an exchange incorporating robust matching engines ensuring reliable order execution. Our crypto exchange development company delivers advanced features through an easy-to-use interface. Partner with us to enter the exchange business with significantly lower investment and risk.

[seraphicinfosolution]

Innovative App Development Company | Seraphic

Seraphic is your go-to app development company for turning ideas into reality. We offer comprehensive services from initial concept through to launch, ensuring your app is both innovative and competitive. Our team is dedicated to delivering high-quality, user-centric apps. Learn how we can help you succeed!

[simulanissolutions]

As the digital landscape expands, the concept of the metaverse is rapidly gaining traction, transforming how we interact, learn, and conduct business. In India, one company is leading the charge in this exciting new frontier: Simulanis Solutions. As an innovative Indian Metaverse Company, Simulanis is redefining the boundaries of digital interaction and offering solutions that resonate across various industries

[jcmarchi]

Centralised AI is dangerous: how can we stop it? - AI News

New Post has been published on https://thedigitalinsider.com/centralised-ai-is-dangerous-how-can-we-stop-it-ai-news/

Centralised AI is dangerous: how can we stop it? - AI News

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The intelligence displayed by generative AI chatbots like OpenAI’s ChatGPT has captured the imagination of individuals and corporations, and artificial intelligence has suddenly become the most exciting area of technology innovation.

AI has been recognised as a game changer, with potential to transform many aspects of our lives. From personalised medicine to autonomous vehicles, automated investments to digital assets, the possibilities enabled by AI seem endless.

But as transformational as AI will be, there are a lot of risks posed by this new technology. While fears about a malicious, Skynet-style AI system going rogue are misplaced, the dangers of AI centralisation are not. As companies like Microsoft, Google and Nvidia forge ahead in their pursuit of AI, fears about the concentration of power in the hands of just a few centralised players are becoming more pronounced.

Why should we worry about decentralised AI?

Monopoly power

The most pressing issue arising from centralised AI is the prospect of a few tech giants achieving monopolistic control over the industry. The big tech giants have already accumulated a very significant market share in AI, giving them possession of vast amounts of data. They also control the infrastructure that AI systems run on, enabling them to stifle their competitors, hobble innovation, and perpetuate economic inequality.

By achieving a monopoly over the development of AI, these companies are more likely to have an unfair influence on regulatory frameworks, which they can manipulate to their advantage. It will mean that smaller startups, which lack the enormous resources of big tech giants, will struggle to keep up with the pace of innovation. Those that do survive and look like they might thrive will almost certainly end up being acquired, further concentrating power in the hands of the few. The result will be less diversity in terms of AI development, fewer choices for consumers, and less favourable terms, limiting the use-cases and economic opportunities promised by AI.

Bias and Discrimination

Aside from monopolistic control, there are genuine fears around the bias of AI systems, and these concerns will take on more importance as society increasingly relies on AI.

The risk stems from the fact that organisations are becoming more reliant on automated systems to make decisions in many areas. It’s not unusual for a company to employ AI algorithms to filter job applicants, for example, and the risk is that a biased system could unfairly exclude a subset of candidates based on their ethnicity, age or location. AI is also used by insurance companies to set policy rates, by financial services firms to determine if someone qualifies for a loan and the amount of interest they’ll need to pay, and by law enforcement to determine which areas are more likely to see higher crime. In all of these use-cases, the potential implications of biased AI systems are extremely worrying.

Whether it’s law enforcement targeting minority communities, discriminatory lending practices or something else, centralised AI can potentially exacerbate social inequality and enable systemic discrimination.

Privacy and surveillance

Another risk posed by centralised AI systems is the lack of privacy protections. When just a few big companies control the vast majority of data generated by AI, they gain the ability to carry out unprecedented surveillance on their users. The data accumulated by the most dominant AI platforms can be used to monitor, analyse and predict an individual’s behaviour with incredible accuracy, eroding privacy and increasing the potential for the information to be misused.

It’s of particular concern in countries with authoritarian governments, where data can be weaponised to create more sophisticated tools for monitoring citizens. But even in democratic societies, there is a threat posed by increased surveillance, as exemplified by the revelations of Edward Snowden about the US National Security Agency’s Prism program.

Corporations can also potentially misuse consumer’s data to increase their profits. In addition, when centralised entities accumulate vast amounts of sensitive data, this makes them more lucrative targets for hackers, increasing the risk of data leaks.

Security risks

Issues of national security can also arise due to centralised AI. For instance, there are justified fears that AI systems can be weaponised by nations, used to conduct cyberwarfare, engage in espionage, and develop new weapons systems. AI could become a key tool in future wars, raising the stakes in geopolitical conflicts.

AI systems themselves can also be targeted. As nations increase their reliance on AI, such systems will make for enticing targets, as they are obvious single points of failure. Take out an AI system and you could disrupt the entire traffic flow of cities, take down electrical grids, and more.

Ethics

The other major concern of centralised AI is about ethics. That’s because the handful of companies that control AI systems would gain substantial influence over a society’s cultural norms and values, and might often prioritise profit, creating further ethical concerns.

For example, AI algorithms are already being used widely by social media platforms to moderate content, in an attempt to identify and filter out offensive posts. The worry is that algorithms, either by accident or design, might end up suppressing free speech. 

There is already controversy about the effectiveness of AI-powered moderation systems, with numerous seemingly innocuous posts being blocked or taken down by automated algorithms. This leads to speculation that such systems are not broken but being manipulated behind the scenes based on the political narrative the platform is trying to promote.

The alternative? Decentralised AI

The only logical counterweight to centralised AI is the development of decentralised AI systems that ensure that control of the technology remains in the hands of the majority, rather than the few. By doing this, we can ensure that no single company or entity gains a significant influence over the direction of AI’s development.

When the development and governance of AI is shared by thousands or millions of entities, its progress will be more equitable, with greater alignment to the needs of the individual. The result will be more diverse AI applications, with an almost endless selection of models used by different systems, instead of a few models that dominate the industry.

Decentralised AI systems will also mean checks and balances against the risk of mass surveillance and manipulation of data. Whereas centralised AI can be weaponised and used in a way that’s contrary to the interests of the many, decentralised AI hedges against this kind of oppression.

The main advantage of decentralised AI is that everyone is in control over the technology’s evolution, preventing any single entity from gaining an outsized influence over its development.

How to decentralise AI

Decentralised AI involves a rethink of the layers that make up the AI technology stack, including elements like the infrastructure (compute and networking resources), the data, models, training, inference, and fine-tuning processes.

We can’t just put our hopes in open-source models if the underlying infrastructure remains fully centralised by cloud computing giants like Amazon, Microsoft and Google, for instance. We need to ensure that every aspect of AI is decentralised

The best way to decentralise the AI stack is to break it down into modular components and create markets around them based on supply and demand. One such example of how this can work is Spheron, which has created a Decentralised Physical Infrastructure Network (DePIN) that anyone can participate in.

With Spheron’s DePIN, everyone is free to share their underutilised computing resources, essentially renting them out to those who need infrastructure to host their AI applications. So, a graphic designer who uses a powerful laptop with a GPU can donate processing power to the DePIN when they’re not using it for their own work, and be rewarded with token incentives.

What this means is that the AI infrastructure layer becomes widely distributed and decentralised, with no single provider in control. It’s enabled by blockchain technology and smart contracts, which provide transparency, immutability and automation.

DePIN can also work for open-source models and underlying data. For instance, it’s possible to share training datasets on a decentralised network like Qubic, which will make sure the provider of that data is rewarded each time their information is accessed by an AI system.

To ensure access and permissions are decentralised, every part of the technology stack is distributed in this way. However, the AI industry currently struggles to provide such a level of decentralisation. Although open-source models have become extremely popular among AI developers, most people continue to rely on proprietary cloud networks, meaning the training and inference processes are heavily centralised.

But there are strong incentives for decentralisation to win out. One of the primary advantages of DePIN networks, for example, is that they help to reduce overheads. Because networks like Spheron don’t rely on intermediaires, participants don’t need to make any payments or share revenue with third-parties. Moreover, they can afford to be more competitive in terms of pricing than corporations that are under pressure to grow profitability.

Decentralisation must win

The future of AI holds a lot of potential, but it’s also perilous. While the capabilities of AI systems have improved dramatically in the last few years, most of the advances have been made by all-powerful companies and that has resulted in an increase in their influence over the industry. There’s a price to pay for this, not just in monetary terms.

The only reasonable alternative is to promote the greater adoption of decentralised AI, which can enhance accessibility and ensure a greater flexibility of AI. By allowing everyone to participate in the development of AI on an equal footing, we’ll see more diverse, interesting, and useful applications that can benefit everyone equally, as well as putting their users first.

Building a decentralised AI future will involve a great deal of coordination and collaboration across every layer of the AI stack. Fortunately, there are strong incentives for participants to do just that. And again, the incentives are not just monetary.