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The Era of Smart Skin: When Your Body Becomes the Ultimate Gadget | Metaverse Planet

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February 25, 2026

The Era of Smart Skin: When Your Body Becomes the Ultimate Gadget | Metaverse Planet

Forget the smartwatch you are wearing right now. Seriously, take a look at it. We think it’s the peak of wearable technology, but what if I told you that in the near future, your own skin could be the screen?

I was honestly mind-blown while researching this topic. I thought we were at least a few decades away from turning our actual biology into a tech interface, but I was completely wrong. Our bodies are literally becoming the next big hardware platform, and the shift from “wearable” to “integrated” technology is happening right under our noses.

Here is what I found, why it matters, and why it honestly scares me just a little bit.

What Exactly is “Smart Skin”?

When I first heard the term, I pictured some dystopian cyberpunk movie where people have metallic plates bolted to their arms. The reality is far more subtle and, frankly, much more impressive.

Smart skin (or electronic skin/e-skin) refers to thin, flexible, and stretchable electronic materials that mimic the functions of human skin. We are talking about ultra-thin patches equipped with microscopic sensors that can detect pressure, temperature, chemical balances, and even electrical signals from your nervous system.

Instead of carrying a rigid piece of glass and metal in your pocket, the technology simply rests on—or integrates with—your biological envelope.

From Medical Miracles to Sci-Fi Camouflage

The reason this isn’t just a gimmick is the sheer variety of applications. I dove deep into the current use cases, and the spectrum of what scientists are doing right now is staggering.

1. Giving Feeling Back: The Stanford Breakthrough

The most touching (pun intended) application I discovered comes from Stanford University. Researchers there have developed an artificial “smart skin” that allows prosthetic arms to actually feel temperature and touch.

Think about what this means. For decades, prosthetic limbs have been functional tools. Now, through soft electronics that can communicate directly with the brain’s nervous system, an amputee can feel the warmth of a coffee cup or the gentle pressure of holding a loved one’s hand.

The Tech: It uses a matrix of incredibly tiny sensors combined with integrated circuits that convert physical sensations into electrical pulses the human brain can understand.My Take: This is where technology shows its absolute best side. It’s not about swiping on social media faster; it’s about restoring a fundamental human experience.

2. The Beauty Industry’s Real-Time Tracker

Moving from medicine to lifestyle, the cosmetics world is aggressively entering the chat. Imagine beauty sensors that look like tiny, transparent stickers you place on your face.

These aren’t just for show. They track your skin’s hydration, UV exposure, and even aging markers in real-time.Instead of guessing which moisturizer works, your smart skin patch sends data directly to your phone, telling you exactly what your skin needs at 2:00 PM on a Tuesday.

3. Octopus-Inspired Camouflage

This is where I started feeling like I was reading a sci-fi novel. Engineers have developed synthetic skins inspired by cephalopods (like octopuses and squids).

By using programmable materials that react to light and temperature, this skin can change color and pattern instantly to match its surroundings.While the military applications are obvious, imagine the fashion and consumer tech possibilities. Clothing or wearable patches that shift colors based on your mood, the weather, or the music you are listening to.

The $9 Billion Reality Check

If you think this is just a bunch of university lab experiments, think again. The smart skin market has already exploded into a massive 9 billion dollar industry.

Big tech companies, medical conglomerates, and even defense contractors are pouring billions into research and development. Why? Because the data harvested from the human body is the most valuable commodity of the next decade.

We have maxed out what we can learn from tracking mouse clicks and screen time. The next frontier for tech giants is biological data. Which brings me to the part that keeps me up at night.

The Dark Side: Are We the Ultimate Data Source?

Here is what scares me a bit: if our sweat can tell a giant tech corporation exactly how stressed we are, isn’t that the ultimate privacy hack?

Right now, if I don’t want a company to track my location, I can leave my phone at home. If I don’t want them to know what I’m thinking about, I can stop searching for it on Google. But smart skin changes the game entirely.

Continuous Biometric Tracking: These sensors can monitor cortisol levels (stress), glucose spikes, heart rate variability, and hydration.The Privacy Loophole: Who owns the data of your sweat? If a smart patch knows you are highly anxious before a job interview or a purchase decision, can that data be sold to advertisers to target you when you are most emotionally vulnerable?

We are eagerly inviting hardware onto our epidermis without having laws in place to protect our most intimate biological reactions. I love technology, but letting corporate algorithms have a direct read on my nervous system feels like crossing a massive red line.

Final Thoughts

The leap from carrying a smartphone to wearing an electronic second skin is going to happen much faster than we anticipate. From restoring the sense of touch to amputees, to giving us chameleon-like abilities, the benefits are genuinely revolutionary.

But it comes at the cost of turning our own bodies into broadcasting nodes for biometric data. We are no longer just using gadgets; we are becoming them.

I would love to know what you think about this. If a company offered you a smart skin patch that could perfectly optimize your health and daily life, but it meant they had access to your biological data, would you let your body become a data source? Let’s discuss it in the comments below! 👇

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EY And Mysten Labs Experts Discuss Strategies For Institutional Adoption Of On-Chain Assets At HSC Asset Management Fireside Chat

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February 24, 2026

EY And Mysten Labs Experts Discuss Strategies For Institutional Adoption Of On-Chain Assets At HSC Asset Management Fireside Chat

by
Alisa Davidson

Published: February 24, 2026 at 9:38 am Updated: February 24, 2026 at 9:38 am

by Anastasiia O

Edited and fact-checked:
February 24, 2026 at 9:38 am

In Brief

The HSC Asset Management fireside chat in Hong Kong examined the challenges and opportunities for institutional adoption of digital assets, focusing on regulatory clarity, privacy, liquidity, public versus private blockchains, DeFi integration, and strategies for deploying on-chain capital at scale.

Experts From EY And Mysten Labs Explore How Institutions Can Transition From Onchain Access To Full Allocation At HSC Asset Management In Hong Kong

In mid-February, HSC Asset Management hosted an event in Hong Kong that brought together industry professionals to examine emerging trends and opportunities in the institutional digital asset sector. One of the day’s highlights was a panel discussion titled “From Onchain Access to Institutional Allocation.”

Moderated by Vadim Krekotin of HSC Asset Group, Paul Brody of EY, and Evan Cheng of Mysten Labs, the session explored the evolution from early onchain participation to structured institutional investment. Key topics included regulatory clarity, the development of robust infrastructure, and the operational frameworks necessary to support the deployment of large-scale capital.

The discussion opened with the question of what prevents institutions from deploying significant capital on-chain. Panelists noted that while foundational elements such as tokenization, stablecoins, exchanges, and regulatory frameworks are largely in place, the challenge lies in integrating these components into cohesive, configurable systems. A central concern is determining which assets institutions actually want to purchase on-chain and understanding the regulatory constraints that govern their allocation. For instance, pension funds and sovereign wealth funds face limits on alternative investments, creating a need for standardized assets with verified performance histories to enable broader on-chain deployment.

Privacy, Confidentiality, And Configurability

The panel placed particular emphasis on privacy and confidentiality as critical factors in blockchain adoption. Experts explained that enterprise systems must be neither fully public nor fully private but should be configurable to meet the requirements of multiple participants. Solutions must allow private transactions while settling results on-chain, enabling institutions to control risk, maintain efficiency, and monitor exposures. Zero-knowledge rollups and other privacy-enhancing technologies were highlighted as essential tools that have made large-scale confidential on-chain transactions feasible, addressing challenges that have persisted for nearly a decade.

Liquidity And On-Chain Ecosystem Development

Liquidity was identified as a key barrier to institutional adoption. Even as privacy solutions advance, fragmented liquidity across chains, venues, and asset types continues to complicate trading and integration. Panelists argued that a fully integrated on-chain ecosystem—where assets settle rapidly and can be used as collateral or borrowed against—offers a distinct advantage over traditional off-chain systems. Efforts to achieve parity between off-chain and on-chain assets are considered essential to unlocking the full potential of blockchain for institutional investors.

Public vs. Private Blockchains

The discussion also examined whether public blockchains can function as institutional infrastructure. Panelists suggested that public, permissionless chains provide greater innovation, security, and efficiency compared to private alternatives, which often deliver limited value relative to conventional IT systems. Historical comparisons to the early internet underscored that private infrastructure tends to be restrictive, while open, configurable public blockchains enable scalable, automated financial operations.

DeFi, Risk, And Accountability

Panelists explored the role of decentralized finance (DeFi) for institutional adoption, noting that while DeFi can generate incremental yield and operational efficiency, institutions are likely to adopt it cautiously, after extensive testing. Responsibility within on-chain systems remains complex due to fragmentation, emphasizing the importance of hybrid models that combine self-custody with layered safeguards such as insurance and structured controls.

Looking Ahead: Institutional On-Chain Strategy

The panel concluded with guidance for institutions considering on-chain engagement: begin with small-scale asset deployments to build operational experience, learn from initial implementations, and prepare for broader automation in asset management. Blockchain is increasingly seen as a critical layer for fully automated financial systems, and organizations that do not engage risk falling behind as the technology evolves.

Disclaimer

In line with the Trust Project guidelines, please note that the information provided on this page is not intended to be and should not be interpreted as legal, tax, investment, financial, or any other form of advice. It is important to only invest what you can afford to lose and to seek independent financial advice if you have any doubts. For further information, we suggest referring to the terms and conditions as well as the help and support pages provided by the issuer or advertiser. MetaversePost is committed to accurate, unbiased reporting, but market conditions are subject to change without notice.

About The Author

Alisa, a dedicated journalist at the MPost, specializes in cryptocurrency, zero-knowledge proofs, investments, and the expansive realm of Web3. With a keen eye for emerging trends and technologies, she delivers comprehensive coverage to inform and engage readers in the ever-evolving landscape of digital finance.

Is Your Ex Hiding a Million-Dollar Fortune in Bitcoin?

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February 24, 2026

Is Your Ex Hiding a Million-Dollar Fortune in Bitcoin?

Key Highlights

Family lawyers predict a “decade-long surge” in crypto-related litigation as younger, tech-native generations enter divorce courts.

Legal experts argue that crypto has effectively replaced offshore tax havens as the preferred “secrecy vehicle.”

Disclosing crypto holdings in prenuptial agreements is now a “make or break” requirement; failing to list a Bitcoin wallet can void a prenup entirely.

For decades, the stereotypical “hiding spot” for a divorcing spouse’s wealth was a shadowy offshore trust or a Swiss bank account. In 2026, that frontier has shifted to crypto. Lawyers across England and Wales are reporting a significant spike in cases where one party attempts to shield millions of pounds from the “matrimonial pot” by hiding it in cryptocurrencies.

While the technology is novel, the intent—secrecy—is identical to the tax havens of the past. As Gen Z and Millennials enter the divorce courts with larger digital footprints, the complexity of untangling these “hidden” fortunes is becoming a standard hurdle in family law.

“Crypto was a new manifestation of an old problem of secrecy,” says Peter Burgess, Senior Partner at Burgess Mee.

Any party seeking a divorce must complete a Form E. This document is a legal declaration requiring a “full, frank, and clear” disclosure of all financial circumstances. However, there is no specific part of the form for disclosing crypto assets. This ambiguity has led some spouses to claim they “forgot” to disclose assets because they were old or stagnant.

Failure to do so can lead to contempt of court proceedings, which in 2026 carry heavy penalties, including the potential for prison sentences or the court awarding a larger share of the known assets to the “innocent” spouse.

Freezing Orders

The High Court of England and Wales has increasingly recognized crypto-assets as “property.” This classification allows lawyers to obtain Freezing Orders not just against the spouse, but against the crypto exchanges themselves.

According to a Financial Times report, Mark Harper, Partner at divorce and family law firm Hughes Fowler Carruthers warns that unless a lawyer knows exactly what they are doing, enforcing these orders can be extremely difficult.

If a spouse holds their wealth in a “self-custodial” wallet, the court may find it nearly impossible to seize the assets directly, instead relying on “adverse inferences”—essentially assuming the hidden money exists and taking it out of the spouse’s share of the family home or pension.

The rise of the crypto prenup

The issue is no longer limited to the end of a marriage. Matt Foster, Senior Associate at law firm Charles Russell Speechlys, notes that crypto is now also a primary focus in prenuptial agreements. And in the 2026 legal landscape, transparency is the only safeguard.

If an engaged partner fails to disclose a significant Bitcoin or Ethereum holding during the prenup phase, the entire agreement can be voided later, leaving the original owner’s digital wealth exposed to a 50/50 split.

As the legal profession becomes more “au fait” with blockchain technology, the window for hiding digital wealth is rapidly closing.

Also Read: How India’s ‘PRAHAAR’ Aims to Block Terrorists’ Use of Crypto & Dark Web

Disclaimer: The information researched and reported by The Crypto Times is for informational purposes only and is not a substitute for professional financial advice. Investing in crypto assets involves significant risk due to market volatility. Always Do Your Own Research (DYOR) and consult with a qualified Financial Advisor before making any investment decisions.

NASA Delays Crewed Moon Mission Again | Metaverse Planet

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February 24, 2026

NASA Delays Crewed Moon Mission Again | Metaverse Planet

NASA’s Artemis 2 mission, the highly anticipated first crewed flight around the Moon in over 50 years, has faced another setback. Previously delayed due to hydrogen leaks, the mission’s timeline has shifted once more—this time owing to a helium flow issue in the upper stage of the Space Launch System (SLS) rocket.

The wait for the historic launch is now expected to extend into April.

The Helium Flow Problem

During preparations at the Kennedy Space Center, a disruption in the helium flow to the SLS’s Interim Cryogenic Propulsion Stage (ICPS) was detected in the early hours of February 21.

To pinpoint the root cause and execute necessary repairs, NASA decided to roll the rocket back from the launch pad to the Vehicle Assembly Building (VAB)—a four-mile journey scheduled to take place around February 24.

Why is Helium Crucial?

For those unfamiliar with rocket mechanics, helium plays a vital role in the launch process:

Pressurization: It is used to pressurize the liquid hydrogen and liquid oxygen tanks.Environmental Control: It ensures the upper stage engine operates under the correct environmental conditions.

According to NASA, the systems functioned correctly during the “Wet Dress Rehearsal.” However, during the transition to normal operations post-test, the helium failed to flow as intended. The upper stage is currently being maintained in a safe configuration using a backup method.

What’s Next for Artemis 2?

This recent development has officially ruled out the launch window previously set for March 6. NASA official Jared Isaacman confirmed that rolling the rocket back to the VAB eliminates the March option entirely.

While the agency maintains that there is a possibility of preserving the April launch window, this heavily depends on the upcoming data analysis and the duration of the repair process.

Mission Overview:

Duration: Approximately 10 days.Scope: The first crewed flight of the SLS rocket, taking astronauts on a journey around the Moon inside the Orion spacecraft.Caution Over Speed: Originally targeted for early February and then shifted to March, the schedule remains fluid. NASA is clearly unwilling to take any risks with this critical mission, even if consecutive technical issues push the timeline further into uncertainty.

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What Are AI Stewards? How Personal AI Could Transform Web3 | NFT News Today

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February 24, 2026

What Are AI Stewards? How Personal AI Could Transform Web3 | NFT News Today

AI stewards are quickly becoming a key concept in decentralized governance, especially in the Ethereum community and the wider Web3 world. Ethereum co-founder Vitalik Buterin first shared this concept in February 2026, describing how personal AI agents could help people participate in governance while retaining their own control and influence. His idea tackles a major problem in decentralized autonomous organizations, or DAOs: most people just don’t get involved.

These AI agents function as digital representatives that understand your preferences, your past decisions, and your priorities. Instead of replacing your role, they extend your ability to stay involved. They can review proposals, vote on routine matters, and bring critical decisions to your attention when your input matters most. This approach allows decentralized governance to scale in a way that hasn’t been possible before.

Interest in AI stewards has grown rapidly because they sit at the intersection of two powerful trends shaping the future of the internet: artificial intelligence and decentralized infrastructure. Many developers and governance researchers now see them as a realistic path toward making decentralized decision-making practical at large scale.

The Governance Problem That Led to AI Stewards

Decentralized governance has always sounded promising in theory. The idea that communities could manage protocols, treasuries, and digital organizations collectively without centralized leadership attracted enormous enthusiasm. However, the reality has exposed clear limitations.

Participation has stayed low, even in the biggest DAOs. Most token holders don’t vote, and some proposals get input from only a small number of eligible voters. This isn’t because people don’t care, but because keeping up takes time, technical know-how, and constant attention.

Governance proposals are often complicated. They can cover topics such as financial decisions, technical updates, legal issues, and long-term plans. To judge these well, you need background and expertise. Most people don’t have the time or energy to keep up with many proposals across different projects.

Delegation became the common workaround. Token holders assign their voting power to a delegate who votes on their behalf. While this improves efficiency, it also concentrates influence in the hands of a small group. Once delegation occurs, individual voters lose their direct voice.

Large token holders have a lot of influence because their votes count more. Smaller participants often just follow their lead or stop taking part. Over time, this makes governance less decentralized.

Privacy has created another barrier. Blockchain voting is transparent by design. Anyone can see how wallets vote. This transparency allows others to pressure voters or attempt to influence their behavior. It also discourages independent decision-making.

These challenges created a clear need for a better system. AI stewards emerged as a potential solution.

Vitalik Buterin’s Proposal and Philosophy

Vitalik Buterin’s proposal introduced what he called “personal governance agents,” now widely known as AI stewards. He argued that people have limited attention and can’t realistically review thousands of governance decisions each year, especially across many projects.

He also warned that letting AI fully replace human governance would weaken decentralization instead of making it stronger. Instead, he sees AI as a tool to help people stay in control.

His approach keeps people in charge while helping them do more. Each person controls their own governance agent. The AI works as an assistant, not as the one in charge.

This distinction is essential. The goal isn’t to automate democracy out of existence. The goal is to make meaningful participation possible for ordinary users.

Buterin’s proposal reflects his long-standing focus on improving governance rather than relying solely on technical improvements. Ethereum has always treated governance as a core challenge, and AI stewards represent a logical extension of that philosophy.

How AI Stewards Actually Work

AI stewards use a mix of artificial intelligence, blockchain checks, and privacy tools. How well they work depends on how personal, independent, and secure they are.

Personalization and Learning

Each AI steward learns from its owner’s past actions and choices. This training can include previous votes, written opinions, online conversations, and direct user feedback.

Over time, the AI creates a detailed picture of how the person thinks and decides. It learns their habits, preferences, and priorities.

For example, if someone often supports funding public infrastructure in a DAO, their steward will likely keep backing similar projects. Someone who prefers careful treasury management may see their steward turn down risky proposals.

This personalization allows the steward to make decisions that closely reflect the user’s intentions.

Automated Voting and Continuous Participation

Once trained, the AI steward can begin participating in governance autonomously. Once it’s trained, the AI steward can start taking part in governance on its own. It reviews proposals, weighs the arguments, and votes on everyday decisions. Due to time constraints, users remain continuously active through their agent.

Routine proposals, such as small changes or regular funding approvals, can move forward without requiring people to step in directly.

This creates a more responsive and representative governance system.

Human Oversight and Escalation

Even with automation, people stay fully in control.

The steward can tell when a decision is important or unclear. In those cases, it notifies the owner and gives a clear summary of the proposal.

The user can then review the details and make the final decision.

This mix of automation and oversight brings both efficiency and accountability. It lets things run smoothly without losing human judgment.

Privacy and Security: A Critical Component

Privacy is key to making AI stewards work well. Blockchain transparency creates risks that traditional voting systems don’t face. AI stewards address these risks using advanced cryptographic methods.

Zero-knowledge proofs allow users to verify their eligibility to vote without revealing their identity. This prevents others from linking votes to specific individual.

Secure computing environments keep the AI safe while it handles sensitive data. These setups separate the system so outsiders can’t reach its private information.ata.

Multi-party computation distributes tasks across multiple systems, preventing any single participant from having full access.

These protections enable confidential decision-making while preserving trust.

A Practical Example of an AI Steward in Action

Consider someone who participates in multiple DAOs related to decentralized finance, gaming, and infrastructure. Each of those organizations produces frequent governance proposals.

Without assistance, keeping up would require hours of reading every week.

An AI steward handles most of this workload automatically. It reviews proposals, evaluates their alignment with the user’s values, and votes accordingly.

When a particularly important proposal appears, such as a major treasury restructuring or leadership change, the steward alerts the user.

The user reviews the summary, makes a decision, and provides guidance.

This approach keeps the individual fully engaged without overwhelming them.

Why AI Stewards Could Change Web3 Governance

AI stewards could greatly boost participation in decentralized systems.

Many users who are now inactive could start taking part. Their preferences would help shape governance all the time.

Power distribution could also become more balanced. Smaller participants would maintain influence rather than rely on delegates.

Decision quality could improve as well. AI agents evaluate proposals consistently and systematically, reducing impulsive or uninformed voting.

Decentralized organizations could grow larger and more complex without losing their decentralized nature.

This scalability has been a major limitation until now.

Relationship to Broader AI and Crypto Trends

AI stewards are part of a broader move toward digital agents that can act autonomously.

AI already handles trading strategies, watches for risks, and helps manage assets in crypto markets.

Governance is the next logical step.

Blockchain gives the trust layer, cryptography adds privacy, and artificial intelligence brings decision-making power.

Together, these technologies enable entirely new forms of coordination.

Many researchers see this combination as one of the defining trends of the decade.

Challenges That Still Need to Be Solved

Even with their promise, AI stewards still face big challenges.

Accuracy is still a main worry. It’s hard to model human values perfectly, and even advanced AI can get things wrong.

Security is also crucial. Any weakness could damage trust in the system.

Users need to stay involved. If people rely too much on automation and stop paying attention, governance could suffer.

User experience needs to get better before these systems can catch on. Complex tools have to feel simple and easy to use.

Regulatory questions may also emerge as AI agents begin making decisions with financial and organizational consequences.

Current Status and Future Outlook

AI stewards remain in the early research and experimental stage.

No major DAO has fully implemented them yet. However, development continues rapidly.

Ethereum’s ecosystem already supports many of the necessary building blocks, including identity systems, privacy tools, and programmable governance.

Prototypes may appear soon.

Wider adoption could follow if early implementations prove reliable.

Why This Idea Matters Long Term

AI stewards represent a fundamental shift in how governance could work online.

They allow individuals to remain active participants without requiring constant attention.

They preserve decentralization while improving efficiency.

They solve problems that have limited DAOs since their creation.

Vitalik Buterin’s proposal builds on years of experience studying governance failures and successes.

His vision reflects a belief that technology should empower individuals rather than replace them.

If implemented successfully, AI stewards could help decentralized governance reach its full potential.

They may ultimately define how digital organizations operate in the future.

WLFI Face Attack on its Stablecoin: Is USD1 Going to Depeg?

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February 23, 2026

WLFI Face Attack on its Stablecoin: Is USD1 Going to Depeg?

Key Highlights

WLFI reported a coordinated attack involving hacked accounts and market shorts.

USD1 temporarily depegged to around $0.98 before recovering near $1.

Traders are now watching redemption activity and liquidity depth for further stress signals.

World Liberty Financial (WLFI) reported that its ecosystem faced a coordinated attack on February 23, 2026, involving compromised cofounder accounts and a surge of negative messaging across social platforms. The incident unfolded alongside what the team described as large short positions opened against the WLFI token.

According to WLFI, the activity appeared aimed at triggering panic selling and profiting from rapid price dislocations. Posts circulating during the episode amplified uncertainty around USD1, the protocol’s dollar-pegged stablecoin, causing increased trader attention and volatility across WLFI-linked markets.

A coordinated attack was launched against USD1 this morning. Attackers hacked several WLFI cofounder accounts, paid influencers to spread FUD, and opened massive $WLFI shorts to profit from the manufactured chaos.

It didn’t work.

Thanks to USD1’s sound mint-and-redeem mechanism…

— WLFI (@worldlibertyfi) February 23, 2026

The team urged users to rely only on verified communication channels while access to affected accounts was restored.

USD1 briefly loses peg

During the turbulence, USD1 temporarily slipped below parity, trading as low as $0.9802 against USDT, according to screenshots shared by Wu Blockchain on X.

USD1 Depeg Source | X

The stablecoin later recovered toward $1, with prices rebounding near $0.998 levels according to CoinMarketCap data. WLFI attributed the stability to the stablecoin’s mint-and-redeem structure and its stated 1:1 backing model, which allows arbitrage traders to restore parity when prices deviate.

Stablecoin stress events typically test liquidity and redemption efficiency rather than price momentum alone. In this case, no sustained de-pegging was observed during the reported attack window, suggesting market mechanisms absorbed the shock.

Traders focus on narrative risk

While USD1’s peg remained intact, incidents involving hacked accounts and coordinated trading activity often have broader market implications. Crypto markets frequently react to perception risk, with traders reducing exposure when uncertainty rises, even without protocol failures.

The incident has shifted attention toward whether the event will result in temporary volatility or longer-term confidence questions around WLFI’s ecosystem as investigations continue.

Also Read: WLFI and Apex Group Partner to Integrate USD1 Into Fund Infrastructure

Disclaimer: The information researched and reported by The Crypto Times is for informational purposes only and is not a substitute for professional financial advice. Investing in crypto assets involves significant risk due to market volatility. Always Do Your Own Research (DYOR) and consult with a qualified Financial Advisor before making any investment decisions.

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From Standalone Games to Living Worlds: The Platform Shift in Game Development

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February 23, 2026

From Standalone Games to Living Worlds: The Platform Shift in Game Development

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A quieter but far more dynamic shift is underway in game development. Today, some of the most active, revenue-generating game experiences are being built inside platforms like Roblox and Unreal Editor for Fortnite (UEFN).

These platforms have changed not just how games are distributed, but how they are conceived, produced, updated, and monetized. Creation has become continuous. Experiences evolve weekly, sometimes daily. Content is no longer finished at launch. It is extended, refreshed, and optimized as players engage.

This shift has created a new kind of demand across the industry, especially for high-quality 3D content that can scale without slowing production.

From games as products to games as living worlds

Roblox and UEFN represent a different model of creation. They are not just engines. They are ecosystems.

Creators are building:

Persistent worlds instead of one-time levelsSocial spaces instead of linear gameplayLive events, seasonal updates, and branded experiencesPlayer-driven economies and customization systems

In this model, success depends on speed, consistency, and visual quality. Worlds must look polished, run smoothly, and evolve without breaking immersion. That puts enormous pressure on internal teams.

Even experienced studios struggle to maintain this pace using only in-house resources.

Where the bottleneck appears

As more teams move into Roblox and UEFN-based development, a familiar set of challenges emerges.

Content volume grows faster than internal capacity.Environments, props, characters, and cosmetic assets need constant iteration.Optimization becomes critical as performance expectations rise across devices.Live updates demand predictable pipelines, not one-off asset creation.

This is where many teams realize that traditional development structures no longer fit platform-driven creation. The work is not experimental. It is operational. It needs to scale cleanly.

Why outsourcing looks different in the platform era

Outsourcing for platform-based games is not about handing off an entire project. It is about extending production capacity without losing control.

Studios need partners who understand:

Platform constraints and publishing workflowsPerformance budgets specific to Roblox and UEFNAsset modularity for live updatesVisual consistency across frequent releases

The value is not just lower cost. The value is reliability.

The role TILTLABS plays in this new model

TILTLABS works at the intersection of real-time 3D, game engines, and immersive content. That positioning makes us particularly well suited to platform-based game development.

We support teams building on Roblox and UEFN by acting as a production extension rather than an external vendor. Our focus is on execution that integrates cleanly into existing pipelines. This showcase gives the entire story:

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What we bring to the table includes:

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Platform knowledge matters more than ever

Roblox and UEFN each come with their own technical and creative realities.

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Beyond games: why brands are watching closely

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The post From Standalone Games to Living Worlds: The Platform Shift in Game Development appeared first on TILTLABS.

Moonwell Lost $1.78M After Smart Contract Bug Linked To AI-Generated Code

Metaverse

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February 23, 2026

Moonwell Lost .78M After Smart Contract Bug Linked To AI-Generated Code

by
Alisa Davidson

Published: February 23, 2026 at 11:00 am Updated: February 20, 2026 at 7:47 am

In Brief

Moonwell’s exploit stemmed from a critical smart‑contract pricing bug—partly introduced through AI‑generated code—that misvalued cbETH and enabled attackers to drain funds, leaving the protocol with roughly $1.78 million in bad debt.

Moonwell Lost $1.78M After Smart Contract Bug Linked To AI-Generated Code

Moonwell, a DeFi lending protocol, suffered a major financial blow in the same week when a critical smart contract bug mispriced the Coinbase Wrapped Staked Ether token (cbETH), allowing assailants and liquidation bots to empty the wallet and amass about $1.78 million of bad debt.

The initial post-mortem analysis shows the logic error was added in code that was co-written by the AI model Claude Opus 4.6, which has again raised concerns about the dangers of going directly to production with AI-written code, without the intensive human scrutiny of its code.

Moonwell Lost $1.78M After Smart Contract Bug Linked To AI-Generated Code

The pricing mistake took place following a governance update that revamped the on-chain oracle of Moonwell, the protocol, converting the off-chain market pricing into information that can be utilized in its lending logic. The system incorrectly calculated the dollar value of cbETH, which is supposed to be calculated by multiplying the exchange rate of both by the current ETH/USD price, and therefore wrongly used only the ratio between the two, which quoted the price of the cbETH at approximately $1.12 instead of the actual price in the market, which was approximately $2,200. Having such a discrepancy led to a 2,000× undervaluation that was immediately used by liquidation bots and opportunistic traders.

The smart contract traders and bots paid back a little in minutes to get a full cbETH collateral of thousands of dollars. Overall, Moonwell has lost a substantial amount of unrecoverable loans in the form of bad debt due to the distorted price of more than 1,096 cbETH that have been liquidated.

The team of Moonwell responded quickly after the problem was identified and reduced by far the number of borrowing and supplying limits of the cbETH markets to avoid additional exploitation. Nevertheless, since the fix takes a five-day period of governance voting and timelock, liquidations kept piling up in the interim. The protocol has since proposed a governance proposal that is intended to deal with the oracle misconfiguration and hardening risk checks.

AI’s Role Under Scrutiny

Although most of the past exploits in the DeFi sector are due to hacked oracle price feeds or flash loans, analysts believe that this was unique because of its link to AI-generated code. GitHub commits that have been co-authored by Claude Opus 4.6, an advanced generative model, have been pointed out by smart contract security auditor Pashov on social media regarding the pull request that added the faulty oracle logic. This has elicited controversy in blockchain and AI circles regarding the role of AI in the development of vital financial infrastructure.

The process of developers basing their writing of production-level code on the AI suggestions or hints is known by industry observers as vibe-coding. The management of a basic pricing calculation, in this instance, of not multiplying an intermediate exchange rate by the proper USD peg, was disastrous in a live money market situation.

Critics emphasize that although AIs are useful in speeding up the time-consuming routine tasks, the code generation in automation is insufficiently versed in the complex knowledge of economic invariants and edge-case logic to be used in DeFi protocols. A simple unit conversion or arithmetic error in the derivation of prices can become a huge systemic risk once used on scale, especially in highly leveraged collateralized lending systems where the solvency of the system heavily depends on the correct price of the market.

The advocates of AI in software development also admit to the productivity gains achieved when using systems such as Claude or other generative models, but note that formal verification systems and human auditors are still essential. These people claim that AI cannot, but should complement, the processes of a careful review of security, particularly in protocols with billions of on-chain liquidity.

Broader Implications for DeFi and AI Development

The defeat of Moonwell has already sparked a debate in the wider DeFi community regarding the tools, audit standards, and governance protections. Although the overall loss of about $1.78 million might be considered comparatively small in terms of historic exploits in the larger protocols, the incident highlights how even small logic errors in price feeds can lead to even greater multi-million-dollar results in the live markets.

According to security experts, oracles are still a common vulnerability point in DeFi. Lending platforms rely on accurate valuation of collateral data. Once this underpinning information is poisoned by external or internal price manipulation, the whole risk model of the protocol may fail. The incident introduces an additional twist by attributing an archetypal cause of error, poor validation of arithmetic and data flows to AI.

Since the exploit, governance forums of Moonwell have been more active, as community members suggested mitigation measures of risk, including a maximum number of wallet borrowings, extra liquidation fee buffers, and on-chain testing before oracle reconfigurations are implemented. According to protocol insiders, recovery plans are under debate to possibly compensate the affected users, but the details are still in discussion.

What This Means for AI in Smart Contract Engineering

The Moonwell accident is one of the warning examples to developers and protocol designers who may want to introduce AI into vital parts of the system. Correctness guarantees of smart contracts are much higher than those of normal application code because the financial integrity of smart contracts is at stake. Although boilerplate templates and developer productivity can be aided by automated code generation, formal verification, human inspection, and rigorous testing against economic adversarial situations is of paramount importance.

With more tools in the AI-assisted category being deployed in Web3 engineering processes, the industry is calling on new audit frameworks, which explicitly address AI provenance, decision logic, and numerical correctness. This involves automated testing software, symbolic execution, and fuzzing methods that may examine the logic of a contract on a very low level before it goes into production.

The governance performance and community reactions of Moonwell in the next several weeks will probably determine the quality at which the wider DeFi industry will treat AI-generated code risk avoidance and potentially develop more stringent guidelines on the incorporation of generative models into production-critical financial programs.

Disclaimer

In line with the Trust Project guidelines, please note that the information provided on this page is not intended to be and should not be interpreted as legal, tax, investment, financial, or any other form of advice. It is important to only invest what you can afford to lose and to seek independent financial advice if you have any doubts. For further information, we suggest referring to the terms and conditions as well as the help and support pages provided by the issuer or advertiser. MetaversePost is committed to accurate, unbiased reporting, but market conditions are subject to change without notice.

About The Author

Alisa, a dedicated journalist at the MPost, specializes in cryptocurrency, zero-knowledge proofs, investments, and the expansive realm of Web3. With a keen eye for emerging trends and technologies, she delivers comprehensive coverage to inform and engage readers in the ever-evolving landscape of digital finance.

Moonwell Lost $1.78M After Smart Contract Bug Linked To AI-Generated Code

Metaverse

By

-

February 23, 2026