Blockchain isn’t fully trustless yet, but projects like Orbs, Humanity Protocol, and Zeus are reducing human reliance and boosting decentralization.Blockchain isn’t fully trustless yet, but projects like Orbs, Humanity Protocol, and Zeus are reducing human reliance and boosting decentralization.

Trustlessness In Blockchain Still Can’t Be Trusted. But It Can Be Improved

2025/09/28 20:08
blockchain46126427 main

When we talk about trustless systems, we’re implying some kind application that doesn’t require users to trust it. The idea is that it just works, accurately and fairly, every single time, without ever cheating users. They’re designed in such a way that there’s no need for users to trust any single human or entity. 

Trustless systems are an alternative to the centralized applications in use today, which are totally reliant on trust. Take your mobile banking application, for example. No doubt, you’re fairly confident that nobody is going to steal your life savings, because you trust that the bank itself will keep them safe. 

Web3 systems lack this kind of centralized authority, which is why they need to be trustless by design. But so far, they fall short of being truly trustless. 

You Can’t Trust Blockchain Yet

In trustless systems, code is supposed to be the law. Smart contracts are designed to automatically execute transactions when specified conditions are met. They utilize pre-defined rules to prevent manipulation, and in most cases they work well enough. Yet that isn’t always the case. Because the code itself is written by humans, it remains susceptible to bugs and vulnerabilities, and that’s why there have been numerous multi-million dollar hacks throughout the history of crypto. 

The oracle problem is another challenge for trustless systems. Oracles bring real-world data, such as weather conditions, stock prices and sports results, on-chain, but this can only be done with human intervention. The oracles are created by humans, and dApp users must trust these oracles, which is why systems are put in place to verify their data. Should any data be unverified, the “trustless” nature of the blockchains that use them would be compromised. So even though the network might be decentralized, it still relies on the integrity of other systems. 

Trust becomes apparent in other ways, too. Certain blockchain projects or dApps may gain instant credibility based on the reputation of the person involved with it. For instance, a project that involves Vitalik Buterin, perhaps the most famous blockchain personality of all, would gain instant credibility, and that association would likely influence the perspective of others. Many users would likely assume that it’s definitely not a scam, simply because of his involvement. 

In addition, certain kinds of digital assets require trust. One of the most obvious of these is “Wrapped Bitcoin” or wBTC, which is a cryptocurrency that lives on the Ethereum blockchain. It’s pegged to the price of the original Bitcoin, and this is done by collateralizing each wBTC that’s minted with one BTC. But the BTC itself is held by a privately owned company called BitGo, which acts as the custodian of those assets, meaning that anyone who uses wBTC has to trust it. 

Blockchain’s reliance on human oversight, despite all claims to the contrary, means that it’s not entirely trustless, leaving it exposed to risks such as the reintroduction of centralization. For instance, a group of developers tasked with updating smart contract code, or the operator of a popular oracle could influence a network in negative ways or act maliciously, putting users at risk. 

The need for trust also calls into question blockchain’s claims of transparency. While the transactions on a decentralized ledger might be publicly visible and verifiable, the motivations and actions of human actors involved in coding, operating oracles or taking custodying funds are definitely not. 

Layer-3 Fortifies Digital Trust

The somewhat less-than-trustless nature of blockchain-based systems has not gone unrecognized, and that explains why Layer-3 networks like Orbs are trying to rectify it by building more robust mechanisms that reduce the need for human oversight. 

Orbs is building a decentralized “execution layer” that sits atop of Layer-1 and Layer-2 blockchains, enhancing their capabilities and performance, and as part of those efforts it’s also working to increase trustlessness. It’s based on an independent network of decentralized “Guardians” who are incentivized to uphold its integrity, with the threat of severe financial penalties if they misbehave. These nodes are tasked with performing complex computations and can interact with smart contracts hosted on multiple blockchains, allowing Orbs to act as a secure and verifiable layer for off-chain logic. Using Orbs’ infrastructure, dApps can implement advanced functionality that isn’t possible when operating directly on an L1 or L2 network. 

Crucially, Orbs’ infrastructure can help to minimize the reliance on human oversight. Its permissionless and verifiable execution environment can automate and secure sophisticated processes that would otherwise necessitate the use of trusted intermediaries, enhancing the trustless nature of blockchains and dApps. 

Orbs also supports a reputation system that runs on its L3 network, allowing blockchain users to create decentralized identities that prove their names, ages and qualifications without revealing them to anyone. These DIDs can then be used on any blockchain that integrates with Orbs, making them interoperable across Web3 and increasing digital trust. 

Removing Intermediaries and Custodians

Orbs’ efforts to build trust into the infrastructure layer are complemented by various other initiatives in the blockchain world that attempt to squash the need for intermediaries and human oversight. 

For instance, Humanity Protocol has created a Proof-of-Humanity consensus mechanism that’s designed to provide proof that blockchain users are genuine humans, as opposed to bots or simply someone’s second (or third, or fourth) account. It’s an essential tool for blockchain governance, especially in DAOs that try to increase fairness with more advanced voting systems that avoid token-weighting. It shifts trust from human oversight to cryptographic proofs, enabling trustless verification of users that ensures no individual can gain more influence over a protocol simply by creating multiple wallets. 

Meanwhile, a project called Zeus is taking aim at custodians with zBTC, an alternative to wBTC that lives on the Solana blockchain. Rather than sending funds to a custodian to mint assets, Zeus utilizes a permissionless architecture, where the BTC is held securely by a network of validators, known as “guardians”. Funds are bridged from Bitcoin to Solana by way of the Zeus Program Library, which mints one zBTC token for every BTC that’s deposited. 

When a user sends BTC to the Zeus Program Library, those funds securely stored in a smart contract that’s operated by the network of guardians, and an equivalent amount of zBTC tokens is then sent to the wallet they came from. The guardians work together to control those smart contracts, and no single guardian can unlock them without approval from all of the others. This means that the BTC can only be unlocked once the zBTC minted in its place is returned to the Zeus Program Library and burned. 

Trust Me, It’s Getting Better

Projects like Orbs, Humanity Protocol and Zeus are striving to create more reliable and foolproof digital ecosystems that reduce the need for human intervention. This is key, because as long as humans are required to uphold something or intervene to put things right, there will always remain an element of trust in blockchain-based systems. By reducing trust, we can increase decentralization, and in turn this means greater fairness and transparency. 

While it may not be possible to eliminate the need for trust entirely, the continuous innovation of these projects can help to minimize the reliance on humans to an extent that no single entity has enough influence to manipulate systems in their favor. 

Disclaimer: The articles reposted on this site are sourced from public platforms and are provided for informational purposes only. They do not necessarily reflect the views of MEXC. All rights remain with the original authors. If you believe any content infringes on third-party rights, please contact service@support.mexc.com for removal. MEXC makes no guarantees regarding the accuracy, completeness, or timeliness of the content and is not responsible for any actions taken based on the information provided. The content does not constitute financial, legal, or other professional advice, nor should it be considered a recommendation or endorsement by MEXC.
Share Insights

You May Also Like

Ethereum unveils roadmap focusing on scaling, interoperability, and security at Japan Dev Conference

Ethereum unveils roadmap focusing on scaling, interoperability, and security at Japan Dev Conference

The post Ethereum unveils roadmap focusing on scaling, interoperability, and security at Japan Dev Conference appeared on BitcoinEthereumNews.com. Key Takeaways Ethereum’s new roadmap was presented by Vitalik Buterin at the Japan Dev Conference. Short-term priorities include Layer 1 scaling and raising gas limits to enhance transaction throughput. Vitalik Buterin presented Ethereum’s development roadmap at the Japan Dev Conference today, outlining the blockchain platform’s priorities across multiple timeframes. The short-term goals focus on scaling solutions and increasing Layer 1 gas limits to improve transaction capacity. Mid-term objectives target enhanced cross-Layer 2 interoperability and faster network responsiveness to create a more seamless user experience across different scaling solutions. The long-term vision emphasizes building a secure, simple, quantum-resistant, and formally verified minimalist Ethereum network. This approach aims to future-proof the platform against emerging technological threats while maintaining its core functionality. The roadmap presentation comes as Ethereum continues to compete with other blockchain platforms for market share in the smart contract and decentralized application space. Source: https://cryptobriefing.com/ethereum-roadmap-scaling-interoperability-security-japan/
Share
BitcoinEthereumNews2025/09/18 00:25
Understanding Bitcoin Mining Through the Lens of Dutch Disease

Understanding Bitcoin Mining Through the Lens of Dutch Disease

There’s a paradox at the heart of modern economics: sometimes, discovering a valuable resource can make a country poorer. It sounds impossible — how can sudden wealth lead to economic decline? Yet this pattern has repeated across decades and continents, from the Netherlands’ natural gas boom in the 1960s to oil discoveries in numerous developing countries. Economists have a name for this phenomenon: Dutch Disease. Today, as Bitcoin Mining operations establish themselves in regions around the world, attracted by cheap resources. With electricity and favorable regulations, economists are asking an intriguing question: Does cryptocurrency mining share enough characteristics with traditional resource booms to trigger similar economic distortions? Or is this digital industry different enough to avoid the pitfalls that have plagued oil-rich and gas-rich nations? The Kazakhstan Case Study In 2021, Kazakhstan became a global Bitcoin mining hub after China’s cryptocurrency ban. Within months, mining operations consumed nearly 8% of the nation’s electricity. The initial windfall — investment, jobs, tax revenue — quickly turned to crisis. By early 2022, the country faced rolling blackouts, surging energy costs for manufacturers, and public protests. The government imposed strict mining limits, but damage to traditional industries was already done. This pattern has a name: Dutch Disease. Understanding Dutch Disease Dutch Disease describes how sudden resource wealth can paradoxically weaken an economy. The term comes from the Netherlands’ experience after discovering North Sea gas in 1959. Despite the windfall, the Dutch economy suffered as the booming gas sector drove up wages and currency values, making traditional manufacturing uncompetitive. The mechanisms were interconnected: Foreign buyers needed Dutch guilders to purchase gas, strengthening the currency and making Dutch exports expensive. The gas sector bid up wages, forcing manufacturers to raise pay while competing in global markets where they couldn’t pass those costs along. The most talented workers and infrastructure investment flowed to gas extraction rather than diverse economic activities. When gas prices eventually fell in the 1980s, the Netherlands found itself with a hollowed-out industrial base — wealthier in raw terms but economically weaker. The textile factories had closed. Manufacturing expertise had evaporated. The younger generation possessed skills in gas extraction but limited training in other industries. This pattern has repeated globally. Nigeria’s oil discovery devastated its agricultural sector. Venezuela’s resource wealth correlates with chronic economic instability. The phenomenon is so familiar that economists call it the “resource curse” — the observation that countries with abundant natural resources often perform worse economically than countries without them. Bitcoin mining creates similar dynamics. Mining operations are essentially warehouses of specialized computers solving mathematical puzzles to earn bitcoin rewards (currently worth over $200,000 per block) — the catch: massive electricity consumption. A single facility can consume as much power as a small city, creating economic pressures comparable to those of traditional resource booms. How Mining Crowds Out Other Industries Dutch Disease operates through four interconnected channels: Resource Competition: Mining operations consume massive amounts of electricity at preferential rates, leaving less capacity for factories, data centers, and residential users. In constrained power grids, this creates a zero-sum competition in which mining’s profitability directly undermines other industries. Textile manufacturers in El Salvador reported a 40% increase in electricity costs within a year of nearby mining operations — costs that made global competitiveness untenable. Price Inflation: Mining operators bidding aggressively for electricity, real estate, technical labor, and infrastructure drive up input costs across regional economies. Small and medium enterprises operating on thin margins are particularly vulnerable to these shocks. Talent Reallocation: High mining wages draw skilled electricians, engineers, and technicians from traditional sectors. Universities report declining enrollment in manufacturing engineering as students pivot toward cryptocurrency specializations — skills that may prove narrow if mining operations relocate or profitability collapses. Infrastructure Lock-In: Grid capacity, cooling systems, and telecommunications networks optimized for mining rather than diversified development make regions increasingly dependent on a single volatile industry. This specialization makes economic diversification progressively more difficult and expensive. Where Vulnerability Is Highest The risk of mining-induced Dutch Disease depends on several structural factors: Small, undiversified economies face the most significant risk. When mining represents 5–10% of GDP or electricity consumption, it can dominate economic outcomes. El Salvador’s embrace of Bitcoin and Central Asian republics with significant mining operations exemplify this concentration risk. Subsidized energy creates perverse incentives. When governments provide electricity at a loss, mining operations enjoy artificial profitability that attracts excessive investment, intensifying Dutch Disease dynamics. The disconnect between private returns and social costs ensures mining expands beyond economically efficient levels. Weak governance limits effective responses. Without robust monitoring, transparent pricing, or enforceable frameworks, governments struggle to course-correct even when distortions become apparent. Rapid, unplanned growth creates an immediate crisis. When operations scale faster than infrastructure can accommodate, the result is blackouts, equipment damage, and cascading economic disruptions. Why Bitcoin Mining Differs from Traditional Resource Curses Several distinctions suggest mining-induced distortions may be more manageable than historical resource curses: Operational Mobility: Unlike oil fields, mining facilities can relocate relatively quickly. When China banned mining in 2021, operators moved to Kazakhstan, the U.S., and elsewhere within months. This mobility creates different dynamics — governments have leverage through regulation and pricing, but also face competition. The threat of exit disciplines both miners and regulators, potentially yielding more efficient outcomes than traditional resource sectors, where geographic necessity reduces flexibility. No Currency Appreciation: Classical Dutch Disease devastated manufacturing due to currency appreciation. Bitcoin mining doesn’t trigger this mechanism — mining revenues are traded globally and typically converted offshore, avoiding the local currency effects that made Dutch products uncompetitive in the 1960s. Export-oriented manufacturing can remain price-competitive if direct resource competition and input costs are managed. Profitability Volatility: Mining economics are extraordinarily sensitive to Bitcoin prices, network difficulty, and energy costs. When Bitcoin fell from $65,000 to under $20,000 in 2022, many operations became unprofitable and shut down rapidly. This boom-bust cycle, while disruptive, prevents the permanent structural transformation characterizing oil-dependent economies. Resources get released back to the broader economy during busts. Repurposable Infrastructure: Mining facilities can be repurposed as regular data centers. Electrical infrastructure serves other industrial uses. Telecommunications upgrades benefit diverse businesses. Unlike exhausted oil fields requiring environmental cleanup, mining infrastructure can support cloud computing, AI research, or other digital economy activities — creating potential for positive spillovers. Managing the Risk: Three Approaches Bitcoin stakeholders and host regions should consider three strategies to capture benefits while mitigating Dutch Disease risks: Dynamic Energy Pricing: Moving from fixed, subsidized rates toward pricing that reflects actual resource scarcity and opportunity costs. Iceland and Nordic countries have implemented time-of-use pricing and interruptible contracts that allow mining during off-peak periods while preserving capacity for critical uses during demand surges. Transparent, rule-based pricing formulas that adjust for baseline generation costs, grid congestion during peak periods, and environmental externalities let mining flourish when economically appropriate while automatically constraining it during resource competition. The challenge is political — subsidized electricity often exists for good reasons, including supporting industrial development and helping low-income residents. But allowing below-cost electricity to attract mining operations that may harm more than help represents a false economy. Different jurisdictions are finding different balances: some embrace market-based pricing, others maintain subsidies while restricting mining access, and some ban mining outright. Concentration Limits: Formal constraints on mining’s share of regional electricity and economic activity can prevent dominance. Norway has experimented with caps limiting mining to specific percentages of regional power capacity. The logic is straightforward: if mining represents 10–15% of electricity use, it’s significant but doesn’t dominate. If it reaches 40–50%, Dutch Disease risks become severe. These caps create certainty for all stakeholders. Miners understand expansion parameters. Other industries know they won’t be entirely squeezed out. Grid operators can plan with more explicit constraints. The challenge lies in determining appropriate thresholds — too low forgoes legitimate opportunity, too high fails to prevent problems. Smaller, less diversified economies warrant more conservative limits than larger, more robust ones. Multi-Purpose Infrastructure: Rather than specializing exclusively in mining, strategic planning should ensure investments serve broader purposes. Grid expansion benefiting diverse industrial users, telecommunications targeting rural connectivity alongside mining needs, and workforce programs emphasizing transferable skills (data center operations, electrical systems management, cybersecurity) can treat mining as a bridge industry, justifying infrastructure that enables broader digital economy development. Singapore’s evolution from an oil-refining hub to a diversified financial and technology center provides a valuable template: leverage the initial high-value industry to build capabilities that support economic complexity, rather than becoming path-dependent on a single volatile sector. Some regions are applying this thinking to Bitcoin mining — asking what infrastructure serves mining today but could enable cloud computing, AI research, or other digital activities tomorrow. Conclusion The parallels between Bitcoin mining and Dutch Disease are significant: sudden, high-value activity that crowds out traditional industries through resource competition, price inflation, talent reallocation, and infrastructure specialization. Kazakhstan’s 2021–2022 experience demonstrates this pattern can unfold rapidly. Yet essential differences exist. Mining’s mobility, currency neutrality, profitability volatility, and repurposable infrastructure create policy opportunities unavailable to governments confronting traditional resource curses. The question isn’t whether mining causes economic distortion — in some contexts it clearly has — but whether stakeholders will act to channel this activity toward sustainable development. For the Bitcoin community, this means recognizing that long-term industry viability depends on avoiding the resource curse pattern. Regions devastated by boom-bust cycles will ultimately restrict or ban mining regardless of short-term benefits. Sustainable growth requires accepting pricing that reflects actual costs, respecting concentration limits, and contributing to infrastructure that serves broader economic purposes. For host regions, the challenge is capturing mining’s benefits without sacrificing economic diversity. History shows resource booms that seem profitable in the moment often weaken economies in the long run. The key is recognizing risks during the boom — when everything seems positive and there’s pressure to embrace the opportunity uncritically — rather than waiting until damage becomes undeniable. The next decade will determine whether Bitcoin mining becomes a cautionary tale of resource misallocation or a case study in integrating volatile, technology-intensive industries into developing economies without triggering historical pathologies. The outcome depends not on the technology itself, but on whether humans shaping investment and policy decisions learn from history’s repeated lessons about how sudden wealth can become an economic curse. References Canadian economy suffers from ‘Dutch disease’ | Correspondent Frank Kuin. https://frankkuin.com/en/2005/11/03/dutch-disease-canada/ Sovereign Wealth Funds — Angadh Nanjangud. https://angadh.com/sovereignwealthfunds Understanding Bitcoin Mining Through the Lens of Dutch Disease was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story
Share
Medium2025/11/05 13:53