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Google And Boston Dynamics Integrate Gemini Robotics Models Into Spot For Advanced Perception And Task Execution

Google And Boston Dynamics Integrate Gemini Robotics Models Into Spot For Advanced Perception And Task Execution


In Brief

Google and Boston Dynamics integrate Gemini AI into Spot robot, enabling natural language control, object recognition, and task execution, advancing adaptive robotics and human-machine interaction systems.

 

Google And Boston Dynamics Integrate Gemini Robotics Models Into Spot For Advanced Perception And Task Execution

Technology company Google announced a partnership with Boston Dynamics to integrate its Gemini Robotics embodied reasoning models into the quadruped robot Spot, marking a step forward in the application of artificial intelligence to real-world robotics. The collaboration enables the robot to better interpret its environment, identify objects, and execute tasks based on natural language instructions, rather than relying solely on pre-programmed routines.

The integration builds on experimental work conducted during a 2025 internal hackathon, where developers explored how large language models and visual reasoning systems could enhance Spot’s autonomy. By leveraging Gemini Robotics, the robot can process visual input from its cameras and translate high-level instructions—such as organizing objects in a room—into coordinated physical actions.

Unlike traditional robotics programming, which often depends on rigid, step-by-step logic, the system introduces a more flexible interface based on conversational prompts. Developers created an intermediary software layer using Spot’s software development kit, allowing Gemini models to communicate with the robot’s application programming interface. This framework enables the AI to select from a defined set of actions, including navigation, object detection, image capture, grasping, and placement.

Natural Language Interfaces Reshape Robotic Task Execution

In practical demonstrations, the system showed the ability to interpret general instructions and adapt to dynamic environments. For example, when tasked with organizing items, the AI model analyzed visual data, identified relevant objects, and directed the robot through a sequence of actions. Feedback from the robot—such as task completion or physical constraints—was incorporated in real time, allowing the system to adjust its behavior without manual intervention.

The approach maintains operational boundaries by restricting the AI to predefined capabilities within the robot’s API, ensuring predictable and controlled performance. This design balances adaptability with safety, a key consideration for deploying AI in physical systems.

The partnership also highlights potential efficiency gains for developers. By reducing the need for extensive manual coding, natural language interfaces allow engineers to focus on defining objectives rather than programming every action sequence. This shift could accelerate the development of robotics applications across industries such as manufacturing, inspection, and logistics.

Although the implementation remains experimental, the demonstration reflects broader trends in physical AI, where foundational models are increasingly used to enhance machine perception and decision-making. Both companies have indicated that further developments are underway, including continued integration of Gemini-based systems into robotics platforms.

The collaboration suggests a transition toward more intuitive human-machine interaction, where complex robotic behavior can be guided through simplified inputs. As AI models continue to evolve, such integrations may expand the functional scope of autonomous systems while reducing the technical barriers to their deployment.

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 crypto, AI, 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.

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Alisa, a dedicated journalist at the MPost, specializes in crypto, AI, 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.








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Why Web3 Lost $482M in Q1 2026: The Same Security Mistakes Keep Happening | NFT News Today

Why Web3 Lost 2M in Q1 2026: The Same Security Mistakes Keep Happening | NFT News Today


Hacken’s Q1 2026 Blockchain Security & Compliance Report, released on April 14, 2026, shows $482.6 million lost across 44 incidents—an update from an initial $464.5M estimate after a late-confirmed social engineering case. Yet the bigger story lies in how predictable and repeatable most losses were.

This isn’t a story about unknown vulnerabilities or novel attack techniques. It’s about familiar weaknesses being exploited again and again.

The Same Problems, Still Working

Hacken’s central question is direct: why does the industry keep losing money to problems it already understands?

The numbers offer a clear answer.

Roughly $306 million of total losses came from phishing and social engineering. However, that figure needs context. A single incident—a $282 million hardware wallet scam involving a fake IT support call—accounted for over half of the quarter’s total losses and about 92% of the phishing category.

That doesn’t make phishing less important. If anything, it highlights how damaging a single successful attack can be when operational controls fail.

The takeaway is straightforward: the biggest risks are still tied to human behavior and access management, not just code.

A Shift in Attack Patterns

There’s a noticeable change in how losses are distributed.

Q1 2026 recorded 44 incidents, with fewer massive, headline-grabbing breaches and more mid-sized, repeatable attacks. This creates a different kind of risk profile—less dramatic, but more persistent.

At the same time, it’s worth noting that total losses were still the second-lowest Q1 since 2023. The absence of an event on the scale of the $1.46 billion Bybit phishing incident in Q1 2025 played a major role in that.

So while incidents increased, the average loss per attack decreased. This suggests attackers are leaning into consistency rather than scale.

Breaking Down the Losses

Looking beyond the headline numbers provides a clearer picture:

Phishing and social engineering: ~$306M

Smart contract exploits: $86.2M across 28 incidents (a 213% increase year-over-year)

Access control failures: ~$71.9M (including compromised keys and infrastructure)

This distribution reinforces a key point: most losses are not coming from unknown technical flaws. They’re coming from weaknesses in access, authentication, and operational processes.

The Weakest Layer Is Still Identity

Many of the attack methods described—fake investment calls, malicious software updates, compromised employee devices—are well-known tactics.

Groups linked to North Korea (DPRK) alone were responsible for more than $40 million in losses using these approaches.

These are not blockchain-specific exploits. They are extensions of traditional cyberattack methods applied to an environment that often lacks mature defensive layers.

The result is a mismatch: high-value assets protected by strong cryptography, but accessed through comparatively weak human and operational systems.

Audits Aren’t Saving You

One of the more revealing findings is that several exploited protocols had already undergone audits. In total, six audited projects were compromised, resulting in $37.7 million in losses. One of these had been audited 18 times, another five times by different firms.

In many cases, the issue wasn’t a missed vulnerability in the audited code. Instead, problems appeared in off-chain infrastructure, key management, post-audit changes, or legacy code.

Examples include:

This reinforces an important distinction: audits evaluate code at a specific moment. They don’t account for how systems evolve, integrate, or are operated over time.

Where Risk Is Concentrated

Hacken’s internal audit data shows that risk is not evenly spread.

A disproportionate share of critical and high-severity issues came from a small subset of audits, particularly those involving newer architectures like account abstraction, DEX plugins, and advanced protocol extensions.

There’s also a recurring issue with enforcement. In 38.5% of stablecoin audits, compliance mechanisms were present in the code but not consistently enforced across all execution paths.

That gap between intention and execution creates openings attackers can exploit.

Security Is Still Treated Like a Phase

A core structural issue remains unchanged.

Many teams still follow a linear approach:

Build → Audit → Launch → Move on

Attackers operate differently:

Probe → Adapt → Exploit → Repeat

This difference in approach creates ongoing exposure. Security isn’t something that can be completed before launch. It requires continuous monitoring, validation, and response.

Without that, even well-audited systems can become vulnerable over time.

Regulation and AI Are Changing the Landscape

The report highlights Q1 2026 as a turning point for both regulation and technology.

Frameworks like Europe’s MiCA and DORA have moved into active enforcement, alongside new U.S. stablecoin legislation, expanded oversight in Dubai, and stricter standards in Singapore. Regulators are increasingly focused on real-time monitoring, rapid incident detection, and enforceable controls.

At the same time, AI is beginning to influence both development and attack strategies. The report documents one of the first known exploits involving AI-generated smart contract code, alongside broader risks such as wallet signer manipulation and MEV-related exposure.

These developments are pushing the industry toward systems that can operate and defend in real time, rather than relying on static checks.

The Real Issue Isn’t Awareness

None of these problems are new.

The industry understands phishing risks. It recognizes the limitations of audits. It’s aware of the challenges introduced by complex, composable systems.

The gap lies in execution.

Security is still too often treated as a checkpoint instead of an ongoing function. Operational defenses lag behind technical safeguards. Rules are defined but not always enforced.

Until those gaps are addressed, similar patterns will continue to appear.

What Needs to Change

If there’s a clear takeaway from this report, it’s that security needs to operate as a continuous system.

That includes:

Building monitoring and response capabilities from the start

Treating identity and access management as critical infrastructure

Extending security practices beyond code into operations and human processes

Ensuring compliance rules are consistently enforced across all execution paths

Designing systems with failure scenarios in mind

Incorporating real-time monitoring and automated response mechanisms as core infrastructure

Teams that adopt this approach are beginning to separate themselves from those that don’t.

Final Thought

The losses recorded in Q1 2026 were not random. They followed patterns the industry has seen before.

That’s what makes them significant.

The challenge ahead isn’t discovering new risks—it’s addressing the ones that are already well understood.



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ORDI Explodes Over 70%: Bitcoin’s First BRC-20 Token Tops Trending Charts

ORDI Explodes Over 70%: Bitcoin’s First BRC-20 Token Tops Trending Charts


ORDI’s surge is driven by renewed interest in Bitcoin-native tokens and the Ordinals ecosystem.
The token’s creation on the Bitcoin blockchain using the Ordinals protocol marked a new chapter for Bitcoin’s capabilities.
The BRC-20 standard enabled by ORDI allows for fungible token issuance without smart contracts, driving innovation in the ecosystem.

ORDI, the flagship token of Bitcoin’s Ordinals ecosystem, has delivered one of the sharpest rallies in the crypto market today, surging more than 70% in the last 24 hours and climbing to the top of trending lists alongside other high-momentum plays.

As of the latest data, ORDI is trading at approximately $4.43, pushing its market capitalization to around $92 million (with a fixed circulating supply of 21 million tokens). Trading volume has exploded to over $229 million, more than 2.5x its market cap, underscoring intense buying pressure and renewed interest in this Bitcoin-native token.

Source: TradingView

This breakout stands out as broader market leaders like Bitcoin and Ethereum show only modest movement, pointing to a clear rotation into Bitcoin Layer-1 narratives — particularly the Ordinals and BRC-20 sector.

What is ORDI? The pioneer of Bitcoin’s BRC-20 standard

ORDI is the first-ever fungible token created on the Bitcoin blockchain using the Ordinals protocol and the BRC-20 standard. Launched in early 2023, it marked the beginning of a new chapter for Bitcoin by enabling the inscription of data (text, images, audio, or video) directly onto individual satoshis — the smallest unit of BTC.

Key features include:

BRC-20 Standard: A Bitcoin-native way to issue and transfer fungible tokens without smart contracts, using JSON inscriptions for deployment, minting, and transfers.

Fixed Supply: 21 million ORDI tokens, mirroring Bitcoin’s total supply for scarcity and cultural alignment.

Ordinals Ecosystem Flagship: Serves as the leading representative for Bitcoin inscriptions, NFTs, and digital artifacts — over 18 million inscriptions have been created on Bitcoin to date.

Bitcoin-Native Utility: Powers experiments in on-chain NFTs, memecoins, and emerging DeFi primitives directly on Bitcoin’s base layer, without relying on sidechains or Layer-2s initially.

While often described as a memecoin due to its viral origins, ORDI pioneered the entire BRC-20 category and remains the most prominent token showcasing Bitcoin’s potential beyond “digital gold” — turning satoshis into unique, tradable digital assets.

Technical breakout fuels the rally

The price action reflects a powerful bullish breakout. ORDI shattered multi-week resistance levels around $2.50–$2.90 on the 4-hour and daily charts, with the 24-hour range stretching from approximately $2.54 to a high near $4.61. The move was backed by a massive surge in trading volume, confirming strong buyer conviction and short-covering activity.

Analysts highlight:

Volume-to-market-cap ratio exceeding 250% in the session — well above typical altcoin averages.

Bullish momentum indicators flipping to “strong buy” across short-term timeframes.

Outperformance versus BTC and ETH pairs, with on-chain metrics showing heavy accumulation.

This technical setup aligns with renewed ecosystem momentum in Bitcoin’s Ordinals sector.

Why ORDI is defying the broader market

While the wider crypto market trades cautiously amid macro uncertainty, ORDI’s surge is powered by narrative strength in the Bitcoin ecosystem. The Ordinals protocol has reignited interest in Bitcoin-native innovation, with BRC-20 tokens and inscriptions driving fresh capital rotation into BTC Layer-1 plays.

Additional tailwinds include:

High-beta positioning — ORDI often leads sentiment shifts in the Bitcoin ecosystem.

Speculative frenzy around BRC-20 revival and potential new inscription cycles.

Community sentiment turning sharply bullish as volume metrics validate the move.

This rally isn’t random; it reflects growing conviction that Bitcoin can support its own vibrant token and NFT economy directly on the base layer, solving for decentralization and security in ways that sidechains or alt-L1s cannot match.

What’s next for ORDI?

With bulls firmly in control, the next key resistance sits in the $5.00–$5.50 zone, which could open the door to 15–25% additional upside if volume holds. However, the token remains volatile after such a parabolic move — a failure to sustain above $3.80–$4.00 on any retrace could trigger quick profit-taking.

For the long term, sustained growth hinges on continued development in the Ordinals ecosystem: more BRC-20 adoption, Layer-2 integrations, and real on-chain utility beyond speculation.

CryptoTimes Take: ORDI’s explosive breakout is a classic example of how Bitcoin-native narratives can drive outsized gains even when the broader market consolidates. As the original BRC-20 pioneer, it continues to act as a high-conviction barometer for the entire Ordinals sector. While we don’t provide financial advice, this move highlights why Bitcoin ecosystem tokens remain one of the most exciting stories heading deeper into 2026. Watch volume, inscription activity, and any fresh BRC-20 developments for the next leg up.

Also Read: Bitcoin, Ethereum, and the Quiet Construction of a New Financial Layer



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RWA Leaderboard 2026: Circle vs BlackRock in the $13.5B Tokenized Treasury Market | NFT News Today

RWA Leaderboard 2026: Circle vs BlackRock in the .5B Tokenized Treasury Market | NFT News Today


Something significant happened in Q1 2026 that most mainstream financial outlets barely covered. For the first time, tokenized U.S. Treasuries grew faster than stablecoins in absolute dollar terms.

That’s not a footnote. It’s a signal.

According to RWA.xyz, the tokenized treasury market now stands at $13.53 billion as of April 12, 2026. Eighteen months ago, that figure sat closer to $270 million. That’s roughly 50x growth since the start of 2024, and it wasn’t driven by retail speculation. This expansion has been led by institutions, corporate treasuries, and asset managers who have quietly concluded that on-chain finance is now operational infrastructure, not a pilot program.

What analysts are calling the “flight to safety” into on-chain cash management has concentrated capital around a small group of high-quality products. And at the center of it all is a battle between two giants: Circle and BlackRock, each staking a claim to the top of the RWA leaderboard with competing visions of what tokenized money should look like.

Understanding the Tokenized Asset Landscape

What Are Real World Assets (RWAs) in Crypto?

Real World Assets (RWAs) are traditional financial instruments represented as tokens on a blockchain. The category is broad: government bonds, corporate debt, real estate, commodities, private credit. But through 2025 and into 2026, one segment has dominated the conversation: tokenized U.S. Treasuries.

Here’s the basic comparison. A stablecoin like USDC holds $1 of value but earns no yield. A tokenized Treasury fund holds that same $1, puts it to work in short-duration government debt, and passes the yield back to the holder — all on-chain, 24/7, with near-instant settlement. For a corporate treasury managing hundreds of millions in digital assets, the gap between those two options is no longer easy to justify. If you want a broader primer on how blockchain tokenization works, we’ve covered the mechanics in depth separately.

Why Tokenized Treasuries Are Growing So Fast

Three factors are driving adoption right now, and each one reinforces the others.

The first is the yield gap. On-chain capital parked in stablecoins earns nothing. Tokenized Treasuries offer government-backed returns, currently in the 4–5% range, with the same on-chain composability institutions already rely on. For large organizations managing significant digital asset balances, that difference is material.

The second driver is regulatory clarity. The legal framework around tokenized securities has matured considerably across the U.S., European Union, and key offshore jurisdictions. The gray areas that discouraged institutional participation two years ago have, in most major markets, been largely addressed.

Third, and often underappreciated, is T+0 settlement. Traditional Treasury and repo markets settle on T+1 or T+2 timelines, meaning capital sits idle for 24 to 48 hours after a trade executes. On-chain settlement is instant. For institutions running active repo operations, that capital efficiency alone makes a compelling case for migration.

Top Tokenized Treasury Funds by AUM (April 2026)

Here’s where the market stands. Five funds account for the majority of the $13.53 billion in tokenized Treasury assets. For a deeper look at the full protocol landscape, see our 2026 RWA protocol snapshot.

USYC

Circle

$2.67B

Non-U.S. Investors

Bermuda domicile; USDC ecosystem integration

BUIDL

BlackRock

$2.42B

U.S. Qualified Purchasers

$5M minimum; compliance-first via Securitize

USDY

Ondo Finance

$1.88B

Retail-adjacent

16,500+ holders; widest distribution

Anemoy

Janus Henderson

$1.32B

Corporate Treasuries

AA+ S&P credit rating

BENJI

Franklin Templeton

$1.02B

Mid-market

$20 minimum investment

1. Circle — USYC ($2.67B AUM)

Circle’s USYC claimed the number one position in March 2026, and the reasoning behind its ascent is straightforward once you understand the product’s structure.

USYC is domiciled in Bermuda and issued by Circle International Bermuda Limited, regulated by the Bermuda Monetary Authority — which makes it accessible to non-U.S. investors. That’s a significant structural advantage when most competitors are restricted to qualified U.S. purchasers. More importantly, USYC plugs directly into the USDC ecosystem. Capital moves seamlessly between the stablecoin and the yield-bearing asset. There’s no separate onboarding process, no additional custody setup, no workflow disruption.

For DeFi protocols, trading desks, and global fintech companies that already operate within the USDC infrastructure, USYC is the natural next step for idle treasury assets. The friction is close to zero. CoinDesk reported in March 2026 that a significant portion of USYC’s recent growth was driven by its adoption as collateral on BNB Chain through Binance’s institutional platform — a sign of just how embedded the product has become in major exchange infrastructure.

2. BlackRock — BUIDL ($2.42B AUM)

BUIDL sits at number two, but that ranking needs context.

When BlackRock launched BUIDL in March 2024 — its first tokenized fund issued on a public blockchain — it captured roughly 46% of the entire tokenized Treasury market. That share has since compressed to around 18%, according to Messari, which is a sign of market health rather than BlackRock weakness. New capital entering the space has diversified across multiple products, and BUIDL’s proportional share has contracted even as its absolute AUM has grown.

BUIDL carries a $5 million minimum investment and is managed through Securitize, one of the most compliance-forward digital asset platforms operating today. This is a product built for endowments, sovereign wealth funds, and large asset managers who require full regulatory documentation at every stage. The compliance overhead that limits BUIDL’s accessible market is also precisely what makes it the most trusted product in the category.

3. Ondo Finance — USDY ($1.88B AUM)

Ondo Finance’s USDY has taken a different approach. Rather than chasing AUM from a handful of large allocators, the team optimized for distribution. USDY now counts over 16,500 individual holders — far more than any competitor — making it the primary bridge between institutional-grade yield and a broader, retail-adjacent audience.

That distribution model has its own compounding advantages. A wider holder base creates deeper secondary liquidity and more extensive integrations across DeFi protocols.

4. Janus Henderson — Anemoy ($1.32B AUM)

Anemoy holds something genuinely rare in the tokenized asset space: an AA+ credit rating from S&P. That single credential opens doors most tokenized funds can’t access.

Corporate treasury departments managing cash for large public companies operate under strict investment policy statements. Many of those policies require rated instruments. Anemoy is one of very few tokenized products that can sit inside those mandates without requiring a policy exception — which means it can reach institutional capital that most RWA products simply cannot.

5. Franklin Templeton — BENJI ($1.02B AUM)

Franklin Templeton’s BENJI crossed the $1 billion threshold by prioritizing accessibility. The minimum investment is just $20, several orders of magnitude below BUIDL, and below most traditional money market funds as well. Launched in 2021 as the world’s first U.S.-registered mutual fund to use a public blockchain for transaction recordkeeping, BENJI has steadily built a presence across multiple networks including Stellar, Ethereum, Solana, and more.

BENJI isn’t competing with BlackRock for sovereign wealth fund allocations. It’s targeting the mid-market: smaller family offices, fintech integrations, and institutional clients who want exposure but don’t write eight-figure checks.

Market Analysis: Why Circle Overtook BlackRock

The “Stablecoin Plumbing” Advantage

Circle’s path to number one came down to composability — the ability for financial products to interact with each other without friction.

USDC is already the operational backbone of a significant portion of DeFi activity. Exchanges, lending protocols, payments infrastructure, much of it runs on USDC. When Circle introduced USYC as a yield-bearing layer sitting natively within that ecosystem, it didn’t need to convince anyone to change their workflows. The capital was already there. It just needed a better place to sit. As Circle’s own documentation notes, USYC paired with USDC resolves a longstanding tension: liquidity has traditionally come at the expense of yield. USYC resolves that trade-off without adding operational complexity.

BlackRock doesn’t have that kind of embedded financial infrastructure. BUIDL requires a separate onboarding process, compliance review, and operational setup. For traditional institutions, that’s familiar territory. For crypto-native firms, it’s friction they’d prefer to avoid.

BlackRock’s Tradeoff: Trust vs. Accessibility

It would be a mistake to interpret BlackRock’s position as anything resembling a setback.

BUIDL’s compliance framework, the very feature that limits its addressable market, is a deliberate design choice, and it’s what the product’s target clients actually need. Pension funds and large asset managers don’t need easy. They need defensible. They need documentation, regulated custodians, and clear legal enforceability. BUIDL delivers all of that.

The two products are, in many ways, optimized for entirely different customers. Circle is winning on velocity. BlackRock is winning on institutional credibility. Both are growing.

Beyond Treasuries: The Rise of Hard-Asset Tokenization

Datavault AI’s $750M Bet on Commodities

While the Treasury market captures most of the attention, a parallel story is developing in commodity tokenisation, and one company in particular is moving fast. As we’ve covered in our overview of RWA trends in 2025, the shift toward tangible, yield-bearing assets on-chain has been one of the defining moves of this cycle.

Datavault AI (NASDAQ: DVLT) announced in early April 2026 that it had signed $750 million in tokenization contracts during Q1. Those contracts generated $77 million in fees from minting, intellectual property licensing, and banking services. These aren’t proof-of-concept programs. This is live revenue from a live business, and it supports the company’s stated full-year 2026 revenue guidance of at least $200 million.

Why Copper & Gold Tokenization Matters

The bulk of Datavault AI’s Q1 contracts focused on copper and gold mining companies. The mechanics are straightforward, but the implications are significant.

Mining companies have historically raised capital through equity offerings or debt, both of which carry real costs. Equity dilutes existing shareholders; debt adds leverage and interest obligations. Tokenization offers a third option: representing future production or proven reserves as on-chain assets that investors can purchase directly. The mining company gets capital without dilution. The investor gets direct exposure to commodity production, with transparent on-chain data rather than opaque reporting.

This model is particularly relevant for mid-tier mining operations with solid reserves but limited access to traditional capital markets. Tokenization effectively globalizes their investor base without the overhead of a traditional securities offering.

Infrastructure Play — Tokenized Commodity Exchanges

Datavault AI is currently relaunching four specialized exchanges — including the International Elements Exchange, to support secondary trading of these tokenized commodity assets. The platforms incorporate AI-driven valuation tools built to price assets using real-time reserve data, production forecasts, and commodity spot prices.

Transparent, liquid, on-chain trading of hard assets has historically been one of the most opaque corners of global finance. Whether Datavault AI captures that market or simply opens the door for others, the structural direction is clear.

Key Trends Driving the RWA Market in 2026

1. The Yield Gap Is Closing — And That Changes Everything

Plain stablecoins are losing their appeal as passive holdings. Why accept zero yield on idle USDC when tokenized Treasuries offer government-backed returns with the same on-chain utility? More DeFi protocols and crypto-native businesses are now treating tokenized Treasuries as default collateral rather than a niche product. That shift, once it reaches a tipping point, will likely be permanent. The rise of RWA NFTs through 2025 was an early indicator of this institutional appetite for yield-bearing, on-chain instruments.

2. Ethereum Remains the Primary Settlement Layer

Despite the proliferation of alternative L1s and L2 networks, the vast majority of RWA assets by value continue to settle on Ethereum. According to RWA.xyz network data, Ethereum hosts the clear majority of distributed tokenized asset value. The logic is consistent: institutional participants require deep liquidity and a proven security track record. Until an alternative network can credibly match those properties at comparable volume, institutional RWA activity will remain anchored there.

3. T+0 Settlement Is the Real Disruption

This point deserves more attention than it typically receives. The ability to settle a Treasury or repo trade instantly — rather than waiting for traditional systems to clear over 48 hours — is a genuine operational advantage. Capital that would otherwise sit in settlement limbo can be redeployed immediately. For large institutions running high-frequency Treasury operations, this is a quantifiable efficiency gain, not just a nice-to-have.

4. The $12.6 Trillion Repo Market Migration

The next frontier for on-chain finance is the repo market. Global repo activity runs at roughly $12.6 trillion. Early-stage experiments suggest that tokenized infrastructure can support repo operations more efficiently than legacy systems — with real-time collateral management and instant settlement replacing the cumbersome processes of traditional counterparty clearing. The migration is quiet and largely happening below the headline level, but the institutional rails are being built. This is probably the most consequential structural development happening in the space right now.

Competitive Outlook: Who Wins the RWA Race?

Bull Case for Circle

Circle’s advantage compounds with scale. Every new protocol that integrates USDC is a potential distribution channel for USYC. The network effects are real, and the capital velocity argument — moving quickly between yield and liquidity without friction — only strengthens as DeFi activity grows. Circle already has the pipes. It just keeps adding more reasons to use them.

Bull Case for BlackRock

Regulatory trust isn’t built quickly, and it isn’t easily replicated. BlackRock has spent decades cultivating relationships with the world’s largest pools of institutional capital. BUIDL is, in many respects, the only tokenized product that large traditional institutions can hold without extensive internal policy debates. That structural advantage is a formidable one.

Emerging Threats

The middle tier of this market deserves attention. Ondo’s distribution strategy, Janus Henderson’s credit rating, and Franklin Templeton’s accessibility focus each represent differentiated approaches that capture specific segments Circle and BlackRock aren’t optimizing for. And Datavault AI’s commodity angle opens an entirely separate market — one that’s effectively uncorrelated with the Treasury race.

Key Risks in Tokenized RWAs

No honest analysis of this market omits the risks. There are real ones.

Regulatory fragmentation remains the most immediate concern. The U.S., EU, and Asian jurisdictions are each developing independent frameworks for tokenized securities. A product compliant in one jurisdiction may face material restrictions in another, creating operational challenges for platforms with global ambitions.

Smart contract risk is inherent in any on-chain financial product. The code managing billions in Treasury assets has been audited extensively, but audits are not guarantees. A critical vulnerability in a widely-used contract could have systemic consequences for the broader market.

Liquidity concentration is another factor worth monitoring. The market remains dominated by a small number of products. If a major fund faces significant redemption pressure, secondary market liquidity could prove shallower than participants currently expect.

Counterparty & Custody Concerns

Tokenized assets derive their value from off-chain collateral. That creates a fundamental dependency: the token is only as valuable as the legal enforceability of the underlying claim and the integrity of the custodian holding the physical assets. These mechanisms are improving, but investors should understand that the on-chain token and the off-chain asset remain legally distinct things — and that distinction matters in a stress scenario.

Conclusion: The Institutional Phase of Crypto Has Arrived

The $13.53 billion tokenized Treasury market isn’t a speculative bubble waiting to deflate. It’s the product of institutional capital making a rational decision: on-chain infrastructure now offers yield, liquidity, and settlement efficiency that legacy systems cannot match at scale.

Circle and BlackRock are currently the two dominant forces, but in many ways they aren’t competing with each other at all — they’re serving different segments of the same broad institutional market. The more interesting competition may come from below: from Ondo’s distribution network, from Janus Henderson’s credit-rated product, and from entirely new categories like Datavault AI’s push into commodity tokenization.

The $12.6 trillion repo market sitting at the edge of this infrastructure is the number to watch. When that migration begins in earnest — and the early signals suggest it has already started — the current leaderboard will look like the beginning of a much larger story.

Frequently Asked Questions

Here are some frequently asked questions about this topic:

What is an RWA in crypto?

RWA stands for Real World Asset. In the context of crypto, it refers to traditional financial instruments — such as government bonds, real estate, or commodities — represented as tokens on a blockchain. This allows them to be traded, held, and used as collateral in on-chain financial systems. For a full breakdown of the current RWA protocol landscape, see our 2026 RWA protocols guide.

What are tokenized treasuries?

Tokenized treasuries are blockchain-based tokens representing ownership in funds that hold U.S. government bonds. They allow holders to earn government-backed yields while keeping assets on-chain and accessible around the clock — unlike traditional Treasury products that are subject to standard market hours and settlement delays. Live market data is tracked by RWA.xyz.

Is BlackRock BUIDL available to retail investors?

No. BlackRock’s BUIDL fund carries a $5 million minimum investment and is restricted to U.S. qualified purchasers, placing it firmly in the institutional category. Retail investors looking for similar exposure may find Ondo Finance’s USDY or Franklin Templeton’s BENJI more accessible entry points.

Why are institutions moving to on-chain assets?

The primary drivers are yield (tokenized Treasuries earn returns that idle stablecoins don’t), T+0 settlement (instant settlement versus 48-hour traditional delays), and capital efficiency (assets can function as live collateral in DeFi protocols without being locked up). Taken together, these advantages are difficult for large institutions to ignore.

What blockchain is used for RWAs?

Ethereum remains the dominant settlement layer for institutional RWA products, accounting for the majority of tokenized Treasury assets by value. Its deep liquidity, long security track record, and broad developer ecosystem make it the preferred foundation for institutions that require operational certainty. You can explore network-level breakdowns in real time at RWA.xyz.



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Decoding Toyota’s CUE7 Basketball Robot | Metaverse Planet

Decoding Toyota’s CUE7 Basketball Robot | Metaverse Planet


I was casually scrolling through my feed the other day when a video stopped me dead in my tracks. I was completely mind-blown when I saw Toyota’s new CUE7 basketball robot in action. We’ve all seen tech demos before—robots doing backflips or serving coffee—but this felt entirely different. Out there on the hardwood, this machine wasn’t just existing; it was dominating. It dribbles, it shoots, and it moves with a terrifying, calculated accuracy that honestly gave me goosebumps.

I’ve been writing about the metaverse and AI for a while now, and I usually look at software, algorithms, or virtual worlds. But seeing artificial intelligence manifest in a physical, competitive space completely shifted my perspective. This isn’t just a clunky machine programmed for a parlor trick; it’s a glimpse into a future where the lines between human athleticism and machine precision are entirely blurred.

Let’s dive deep into what Toyota is doing with the CUE7, how this tech actually works, and why watching a machine play with absolutely zero fatigue is making me question everything I thought I knew about the future of sports.

From Humble Beginnings to Hardwood Dominance

When I started digging into the history of Toyota’s CUE project, I was genuinely surprised by how fast this technology has evolved. The original CUE robot was a fun side project by Toyota volunteers, basically a stationary shooting machine. But the CUE7? It’s a completely different beast.

Here is what makes the CUE7 stand out from anything we’ve seen before:

Fluid Mobility: Unlike its predecessors that had to be wheeled into place, the CUE7 actually moves around the court. It calculates its positioning in real-time, adjusting its stance based on where it needs to be.Dynamic Dribbling: This is the part that genuinely spooked me. Dribbling a basketball requires an understanding of physics, bounce trajectory, and spatial awareness. The CUE7 processes all of this instantaneously, keeping the ball in motion without missing a beat.Pinpoint Shooting Accuracy: By using advanced sensors and an internal AI that calculates the exact distance, arc, and force needed to sink a basket, the CUE7 achieves a shooting percentage that would make NBA legends jealous.

The Secret Sauce: How AI is Changing the Game

To me, the most fascinating aspect of the CUE7 isn’t its mechanical arms or its metal frame; it’s the invisible “brain” powering it all.

When a human player takes a shot, they rely on muscle memory, instinct, and a split-second visual assessment of the hoop. The CUE7 replaces human instinct with complex algorithms and spatial computing. It uses cameras and depth sensors on its torso to build a 3D map of the court. In a fraction of a second, the AI computes the distance to the basket, the current air resistance, and the optimal parabolic trajectory required for a swish.

But here is the real kicker: Machine Learning. The robot isn’t just executing pre-written code. It learns from every single shot. If it misses (which is rare), the AI analyzes the physical data of that failure and adjusts its micro-movements for the next attempt. I realized that we are watching an entity that literally perfects itself in real-time.

The Unfair Advantage: The Reality of Zero Fatigue

Let’s talk about the physical toll of sports. Basketball is an exhausting game. By the fourth quarter, legs get heavy, breathing gets shallow, and shooting percentages naturally drop. It’s part of the human condition.

Watching the CUE7, the realization hit me hard: this machine feels absolutely nothing. It doesn’t get tired. It doesn’t get intimidated by a loud crowd. It doesn’t suffer from performance anxiety during a clutch moment. It will shoot its 1,000th shot with the exact same precision, power, and arc as its very first shot. This “zero fatigue” factor is what makes me question the future of human dominance in sports.

If we eventually pit human athletes against AI-driven machines, how can flesh and bone ever compete against an opponent that never tires and calculates physics down to the millimeter?

Beyond Basketball: Why This Matters for Our Future

You might be thinking, “Ugu, it’s just a robot playing basketball, why the big deal?” I thought the same thing initially, but the implications go way beyond the court. The CUE7 is essentially a masterclass in robotic spatial awareness and delicate physical interaction.

If an AI can be trained to dynamically dribble a bouncy ball and shoot it perfectly into a small ring from 20 feet away, that exact same technology can be applied to:

Advanced Prosthetics: Creating artificial limbs that react to their environment with fluid, natural precision.Search and Rescue: Developing agile robots that can navigate unpredictable, physically demanding disaster zones.Everyday Assistance: Building humanoid helpers that can interact with fragile objects in our homes without breaking them.

The basketball court is just Toyota’s testing ground. The real goal is teaching AI how to flawlessly interact with the physical physics of our world.

The Final Whistle: Are We Ready?

I’ve spent hours analyzing the footage, looking at the specs, and thinking about the trajectory of this technology. There is a part of me that is incredibly excited to see how AI will push human athletes to train harder and smarter. But there’s another part of me that feels a strange sense of nostalgia for the beautiful imperfection of human sports.

The sweat, the fatigue, the miraculous buzzer-beaters that defy all logic—that’s the soul of the game. A machine like the CUE7 might be able to replicate the mechanics of basketball perfectly, but can it ever replicate the heart?

This brings me to a massive crossroads, and I really want to know where you stand on this. I’ve laid out my thoughts, but this is a conversation we need to have together.

Will AI eventually rule the courts, completely replacing the thrill of human athleticism, or will robots like the CUE7 just remain highly advanced training tools for us? Drop a comment below and pick a side. I’ll be hanging out in the replies!

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OpenSim April stats down on grid outage – Hypergrid Business

OpenSim April stats down on grid outage – Hypergrid Business


While the total number of registered OpenSim users increased by 2,528 this month, both land area and active users were down by 271 regions and 803 actives, respectively. However, Darkheart’s Playground‘s website was down this month and I couldn’t get its numbers — and, last month, that grid reported more than 400 regions and more than 1,500 actives.

So the drop in usage is most likely a technical issue, not a sign of decreasing traffic because of the nice weather outside.

If you’re a nerd who likes to see the exact totals, OpenSim’s public grids reported 148,945 standard region equivalents this month, 497,424 registered users, and 47,101 active users.

OpenSim land area for April 2026. (Hypergrid Business data.)

The following grids were added to my database this month: Adrian Labs, Big City, Carnivale Grid, Cave Grid, Farm Grid, MS Axiom, Nemeton Grove, SnuSnu Island, Sublimit Metaverse, ThinkSim, Time Grid, Tranquility Grid, WonderVerse, and Xaara CA.

The following 12 grids were marked as suspended this month: Anubis, Czech Welcome Centre, Edge of Reality Grid, KittyBlue, LeBourg, Mysterious Grid 2, Otterland, Raynna, Sweet Life, Willow Lake, WoodstockSim, and XTAL.

Our stats do not include most of the grids running on DreamGrid, a free easy-to-use version OpenSim, since these tend to be private grids.

OpenSim is a free, open-source, virtual world platform, that’s similar to Second Life and allows people with no technical skills to quickly and cheaply create virtual worlds and teleport to other virtual worlds. Those with technical skills can run OpenSim worlds on their servers for free using either DreamGrid, the official OpenSim installer for those who are more technically inclined, or any other distribution, while commercial hosting starts at less than $5 a region.

A list of OpenSim hosting providers is here. If you offer region rentals and are not on this list, email me!

You can download the recommended Firestorm viewer here and find out where to get content for your OpenSim world or region here.

Hypergrid Business newsletter is now available

Every month on the 15th — right after the stats report comes out — we will be sending out a newsletter with all the OpenSim news from the previous month. You can subscribe here or fill out the form below.

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Top 25 grids by active users

When it comes to general-purpose social grids, especially closed grids, the rule of thumb is the busier the better. People looking to make new friends look for grids that already have the most users. Merchants looking to sell content will go to the grids with the most potential customers. Event organizers looking for the biggest audience — you get the idea.

Top 25 most popular grids this month:

Wolf Territories Grid: 12,329 active users
OSgrid: 4,264 active users
GBG World: 2,241 active users
Alternate Metaverse: 2,217 active users
DigiWorldz: 2,015 active users
Groovy Verse: 1,347 active users
Sciattisi Grid: 1,298 active users
Neverworld: 1,043 active users
Trianon World: 947 active users
Littlefield: 874 active users
AvatarLife: 874 active users
Cave Grid: 838 active users
New Life Italy: 828 active users
Craft World: 804 active users
AviWorlds: 787 active users
Sanctum Astra: 787 active users
BloodMoon: 731 active users
Party Destination Grid: 728 active users
Friends Grid: 595 active users
Gentle Fire Grid: 520 active users
SpaceGrid: 494 active users
Eureka World: 454 active users
Jungle Friends Grid: 446 active users
ZetaWorlds: 441 active users
Endless Grid: 419 active users

Kitely doubles region performance

Kitely has upgraded all its region plans, so that regions are now 50 percent faster than before, the company announced today.

Oren Hurvitz

“We’ve done this by upgrading to the latest Amazon server technology, the m8i generation, while keeping our existing prices,” said Oren Hurvitz, Kitely’s co-founder and VP R&D, in the announcement. “This upgrade enables your worlds to handle more scripts and avatar activity without experiencing server lag.”

According to Hurvitz, Kitely achieves this performance by using powerful servers and putting no more than four “worlds” on each server — “world” being Kitely’s name for variable-sized regions.

Kitely is also unique among OpenSim grids for its on-demand model. Regions are only activated when someone is using them. When they’re empty, they’re put to sleep, reducing operating costs for the company — and allowing Kitely to rent their regions starting at $15 a month for a single region with up to 15,000 prims, capable of holding up to 10 avatars.

Kitely also has three other rental options, with the top one being a variable-sized region that’s the equivalent of 64 standard regions in size, capable of holding up to 80 simultaneous visitors and 150,000 prims for $120 a month. (That divides out to less than $2 per standard region.)

You can see all the pricing here.

“Our servers also benefit from being hosted in Amazon Web Services, the world’s leading cloud provider,” Hurvitz added. “Our servers are automatically moved between 3 different US-based AWS data centers to minimize the chance of a problem in one data center taking down our entire system.”

As a result of this, Kitely has had no unscheduled downtime in all the time I’ve been covering OpenSim — and I’ve been covering OpenSim since before Kitely even launched.

Kitely typically ranks very highly in technology and support in our reader surveys. However, it has been lagging behind in community. Last year, the grid started to address this by opening new event and expo centers. The first major event was the Synthetic Dreams art exhibition. Two weeks ago, Kitely announced that it would be extending this exhibition by another three months.

Ilan Tochner

“The Wrong Biennale Pavilion, Synthetic Dreams, is a great example of what OpenSim creators can achieve,” said Kitely CEO and co-founder Ilan Tochner. “It would have been a shame to shut it down, so we offered to extend it by another three months. We’re proud to host such a strong exhibit in Kitely and highly recommend that anyone who hasn’t seen it yet take this opportunity to visit.”

Visit the Wrong Biennale Pavilion at the Kitely Expo Center via hypergrid at grid.kitely.com:8002:Kitely Expo Center.

New OpenSim grid launches, powered by AI, with in-world 3D content creation

OpenSim veteran Fabio Bastos is back with a new grid, ThinkSim.

The standout features are ThinkVox, a voice system built directly into the grid, and in-world AI-powered 3D content creation using the Hunyuan 3D model.

ThinkVoxt offers both proximity and grid-wide voice out of the box without the usual headaches, costs, or dependencies on external services like Vivox, and it’s already available as a commercial service for other OpenSim grids.

Fabio Bastos

“For years, voice in OpenSimulator was a persistent headache. The options were fragile, expensive, or abandoned,” wrote Basto. “I am proud to say we solved it.” You can read his full article here.

On the 3D content side, residents can use Hunyuan 3D to generate meshes in-world. And it’s not just raw AI output, either. Every generated asset runs through a headless Blender pipeline that fixes normals, generates four levels of detail, and unwraps UVs before dropping a finished object into the user’s inventory.

The grid also leverages OpenClaw, an AI agent framework where the agents handle everything from identity validation to issuing signed digital certificates.

I’ve been expecting someone to launch something like this in OpenSim for a while. Now, can someone please write a web-based viewer for OpenSim? And refactor the back end to work with virtual reality headsets? We desperately need an open source platform for virtual reality and there still isn’t a good one out there. Creating something that’s backwards-compatible with OpenSim means that we can get something community-owned that’s not from one of the big tech giants.

Online marketplaces for OpenSim content

As of April, there are 21,898 product listings in Kitely Market, containing 42,727 product variations, of which 37,419 are exportable, according to Kitely CEO Ilan Tochner.

A total of 586 new products were added to the market, some in multiple variations, since mid-March. It was the biggest single-month increase in product listings in the past five years.

Kitely Market has delivered orders to 678 OpenSim grids to date.

 

(Data courtesy Kitely.)

Historically, all the Kitely Market growth has been in exportable content. This means that buyers can have their purchases delivered directly to avatar inventories on other grids, and that they can travel to other grids with the content.

In the early days of OpenSim, many creators considered this to be a security risk, and non-exportable content dominated. But creators quickly realized that most copybotted content actually comes from Second Life, where everything is non-exportable. And, in general, copybot tools and content thieves don’t bother to check item permissions before committing their thefts. Instead, allowing people to purchase exported content legally, conveniently, and at reasonable prices destroys the copybot economy entirely, leaving only a handful of freebie stores on grids that haven’t yet noticed that they exist and taken them down.

Another source of legitimate content on OpenSim is Linda Kellie’s products, and those of other creators that give them away for free under Creative Commons and similar licenses. Many official freebie stores on OpenSim grids offer these products.

This is similar to how Netflix and other low-cost and free streaming services dramatically reduced online movie piracy.

The Kitely Market is the largest collection of commercial legal content available in OpenSim. It is accessible to both hypergrid-enabled and closed, private grids. The instructions for how to configure the Kitely Market for closed grids are here.

Top 40 grids by land area

All region counts on this list are, whenever available, in terms of standard region equivalents. Active user counts include hypergrid visitors whenever possible.

There were a total of 297 active grids this month, 212 of which published statistics.  I’m currently tracking a total of 2,115 grids.

Many school, company, or personal grids do not publish their numbers.

The raw data for this month’s report is here. A list of all active grids is here. And here is a list of all the hypergrid-enabled grids and their hypergrid addresses, sorted by popularity. This is very useful if you are creating a hyperport.

You can see all the historical OpenSim statistics here, including polls and surveys, dating all the way back to 2009.

Wolf Territories Grid: 33,807 regions
OSgrid: 25,528 regions
Kitely: 17,780 regions
ZetaWorlds: 16,969 regions
Groovy Verse: 15,226 regions
Alternate Metaverse: 11,405 regions
Neverworld: 2,789 regions
DigiWorldz: 2,468 regions
GBG World: 1,935 regions
Discovery Grid: 1,614 regions
Tag Grid: 1,561 regions
Friends Grid: 1,417 regions
ArtDestiny: 1,156 regions
Sub-Version Space: 1,065 regions
Virtual Worlds Grid: 910 regions
Exotic Realities: 741 regions
Kinky Haven: 705 regions
AviWorlds: 637 regions
AvatarLife: 637 regions
New Life Italy: 631 regions
Virtual Worlds Zone: 558 regions
Littlefield: 496 regions
Furry World: 358 regions
EdMondo: 310 regions
BloodMoon: 273 regions
Migrating Coconuts: 247 regions
Craft World: 246 regions
Open Virtual Worlds: 241 regions
OliGrid: 214 regions
MisFitz Grid: 209 regions
Japan Open Grid: 201 regions
Sense Limits: 185 regions
Spartans Keep: 171 regions
Kater and Friends: 166 regions
Adreans-World: 165 regions
Maze of The Mind: 164 regions
I Love You Grid: 160 regions
Logicamp: 139 regions
Utopia Skye: 139 regions
Outworldz: 138 regions

Do you know of any other grids that are open to the public but that I don’t have in my database? Email me at [email protected].

Maria Korolov
Hypergrid Business editor and publisher Maria Korolov is a science fiction novelist. During the day, Maria Korolov is an award-winning freelance technology journalist who covers artificial intelligence, cybersecurity and enterprise virtual reality. See her Amazon author page here and follow her on Twitter, Facebook, or LinkedIn, and check out her latest videos on the Maria Korolov YouTube channel. Email her at [email protected]. Her first virtual world novella, Krim Times, made the Amazon best-seller list in its category. Her second novella, The Lost King of Krim, is out now. She is also the publisher of MetaStellar, a new online magazine of speculative fiction.
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OpenSim builders get new one-prim NPC manager — no scripts, no orphans – Hypergrid Business

OpenSim builders get new one-prim NPC manager — no scripts, no orphans – Hypergrid Business


(Image courtesy Spax Orion.)

OpenSim creators Dirty Helga and Spax Orion released a free NPC management station to the community last week, giving world builders a streamlined way to create, preview, and manage non-player characters from a single in-world object, according to a post by Spax Orion on OpenSimWorld.

The IMAGE-NPC Machine is a streamlined NPC management station for OpenSim 0.9.x that lets creators snapshot avatars’ appearances into notecards, preview NPCs from a library, cycle animations for posing, and manage all NPCs from one linkset.

“I recently retired and open-sourced everything SimGEAR,” Spax Orion, sysop of Ozone Miniverse, told Hypergrid Business by email. “I made a free game engine for OpenSim called IMAGE.”

Spax Orion said the project grew out of frustration with the state of OpenSim game tools.

“KONK is dead and the other game engines out there are lacking,” he said. “I decided to do something about that.”

“I am dedicating my personal time to code amazing things for OpenSim,” he added.

For OpenSim world builders — who have long relied on fragmented, multi-script NPC tools — a single consolidated station is a practical upgrade, particularly for role-play regions, stores, and educational environments that depend on populated, realistic-looking spaces.

(Image courtesy Spax Orion.)

Part of a larger framework

The NPC Machine is the latest component of the IMAGE framework — short for Image Matrix Action Game Engine — a broader project that Dirty Helga and Spax Orion have been developing and releasing to the community over the past several months, according to Spax Orion’s blog.

SimGEAR was Spax Orion’s previous commercial content brand, under which he sold NPC furniture and scripted tools on the Kitely Market under the name Spax Zorin. The tools are now free and open source.

The original test platform for IMAGE is a game called Grug Assault, a drop-in game system where NPC monsters invade a region and players fight them off. The NPC Machine spun out of that work as a standalone tool for creators who need to manage NPC appearances without the full game framework.

The IMAGE framework also includes iMinstrel, a dynamic NPC command-and-control system for storytellers that can be connected to a local AI model for conversational NPC behavior, Spax Orion said on his blog.

Public debut at HG Safari

The IMAGE framework had its official launch on March 11, when HG Safari visited Spax Orion’s Ozone Miniverse grid for what the visitors believed was a stress test — and turned out to be a surprise release party, according to a writeup on the HG Safari blog.

“I have a lot of free time on my hands and if anyone else has free time, and wants to learn or even better, contribute to the IMAGE project, lets talk,” Spax Orion said during the event. “I find coding chaos to be quite therapeutic.”

(Image courtesy Spax Orion.)

What it replaces

“This replaces our old four-script system with a single root-prim engine using pure OSSL — no permission issues or orphan NPCs,” Spax Orion said in the OpenSimWorld post. “It’s owner-only and prevents unauthorized sitting.”

The orphan NPC problem — where scripts lost track of NPCs they had created and left them stranded in regions — was a persistent nuisance with older tools. The switch to OSSL functions eliminates the permission handshakes that caused the issue, according to the README included with the tool.

Spax Orion noted that the earlier ActiveNPC framework by developer Satyr Aeon, which he helped test, remains a solid tool. The new IMAGE NPC system is not a replacement for ActiveNPC, he said, but a separate approach.

Quick setup

Setup takes about 30 seconds, Spax Orion said in the post. Users rez four cubes, link them, insert the assembler script, and touch once. The machine reshapes the linkset, then self-deletes. Users then add a few standing animations and the IMAGE-NPC-Machine.lsl script to start using it.

“I have had this tool for several years and I have been meaning to share it,” Spax Orion said in the post comments.

Community response

The post drew 20 likes within a day of publication. Several community members noted they had been using older workarounds.

“I had been using the zombie creation tool found in Lani mall to make NPC appearance notecards when needed,” MrSnoodle said in the comments. “Your tool will be the better choice, so thank you.”

For more on NPC development in OpenSim, including AI-driven NPCs that can navigate and hold conversations, see Hypergrid Business’s December 2025 coverage.

The tool is released under a CC BY-NC license — free to use and share, but not to sell. It is available in the OpenSimWorld script library. For OpenSim NPC documentation, see the official OpenSimulator wiki.

Visitors can see the IMAGE framework in action at Spax Orion’s Ozone Miniverse grid, which is accessible via the hypergrid at xoaox.de:7000:Atrius.

Maria Korolov
Hypergrid Business editor and publisher Maria Korolov is a science fiction novelist. During the day, Maria Korolov is an award-winning freelance technology journalist who covers artificial intelligence, cybersecurity and enterprise virtual reality. See her Amazon author page here and follow her on Twitter, Facebook, or LinkedIn, and check out her latest videos on the Maria Korolov YouTube channel. Email her at [email protected]. Her first virtual world novella, Krim Times, made the Amazon best-seller list in its category. Her second novella, The Lost King of Krim, is out now. She is also the publisher of MetaStellar, a new online magazine of speculative fiction.
Maria Korolov
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Bitwise Rolls Out Avalanche ETF With Staking Rewards on NYSE

Bitwise Rolls Out Avalanche ETF With Staking Rewards on NYSE


Key Highlights

Bitwise launched the Avalanche ETF (BAVA) in the U.S. on the NYSE to give investors exposure to Avalanche (AVAX).

The ETF earns extra returns through staking AVAX, with an estimated average reward of about 5.4%.

Bitwise is expanding its crypto ETF lineup with many new products with the SEC.

Bitwise Asset Management said today that it has launched an Avalanche ETF (BAVA) in the United States on the New York Stock Exchange (NYSE). 

According to the official release, the fund is designed to give inventions exposure to cryptocurrency. In short, it is created to follow the price of Avalanche (AVAX).

Staking strategy and structure

The ETF earns extra income from staking. This is where part of a cryptocurrency is locked in a blockchain system to support network operations such as transaction validation, and in return, participants receive rewards.

Bitwise said it tries to keep enough funds available so investors can still trade the ETF smoothly while some AVAX is staked.

The staking activity is handled internally by Bitwise Onchain Solutions, the company’s staking division, and it is expected to generate an average staking reward of about 5.4%, depending on network conditions. In addition, the firm mentioned that the fund carries a 0.34% sponsor fee; however, this fee is waived for the first month on the first $500 million in assets.

The fund is listed under the ticker BAVA and carries a sponsor fee of 0.34%. The fee is waived for the first month on the first $500 million of assets under management.

Why Avalanche?

Avalanche is a blockchain network that allows developers and institutions to build their own custom blockchain systems. These systems can set their own rules for how they operate, including governance and access control, while still connecting to the main Avalanche network. The system is built to support fast transaction speeds and low fees. Its total market value is around $4.1 billion.

However, Bitwise stated that the ETF is not suitable for all investors because it carries a high level of risk and can experience significant price changes. 

The firm added that the ETF is not registered under the Investment Company Act of 1940, meaning it does not have the same protections as traditional investment funds. Investors are also reminded that the ETF is not the same as directly holding AVAX.

“Avalanche is emerging as one of the leading platforms for businesses, governments, and real-world use cases,” said Matt Hougan, CIO of Bitwise. He added that the network allows users to maintain security and scale while keeping control and flexibility in application design.

Previous ETF launches and applications

Meanwhile, Bitwise has been actively expanding its crypto ETF products in recent months. For instance, in January 2026, the company filed multiple applications with the U.S. Securities and Exchange Commission (SEC) for new crypto ETFs.

These filings include proposals linked to assets such as Aave, Uniswap, Tron, Bittensor, NEAR, Sui, Zcash, Ethena, Hyperliquid, Starknet, and Canton. Earlier filings also included proposals for several other crypto ETFs beyond Bitcoin and Ethereum.

In addition, the firm recently filed to launch the first Uniswap ETF with the SEC. So far, the firm has almost 15 ETF products.

Also Read: Tether Backs $134M Raise to Boost Stablecoin 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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Zoomex Startet ZoomexStocks: Handeln Sie Globale Aktien mit USDT + Zeitlich Begrenzte Gebührenerstattungs-Kampagne

Zoomex Startet ZoomexStocks: Handeln Sie Globale Aktien mit USDT + Zeitlich Begrenzte Gebührenerstattungs-Kampagne


Zoomex Startet ZoomexStocks: Handeln Sie Globale Aktien mit USDT + Zeitlich Begrenzte Gebührenerstattungs-Kampagne

Die Krypto-Handelsplattform Zoomex hat heute offiziell den Start von ZoomexStocks angekündigt, das es den Nutzern ermöglicht, globale Aktienwerte direkt mit USDT zu handeln – ganz ohne die Notwendigkeit eines traditionellen Brokerage-Kontos.Zum Start sind 12 bedeutende, US-aktienbezogene Vermögenswerte verfügbar, die führende Tech-Aktien, Hauptindizes und Krypto-bezogene Aktien abdecken, darunter Apple, Tesla und NVIDIA. Nutzer können mit nur 5 USDT mit dem Handel beginnen.Zur Feier des Starts führt Zoomex eine zeitlich begrenzte Rückerstattungskampagne für Handelsgebühren ein, bei der bis zu 100 USDT als Rückerstattung angeboten werden, um die Eintrittsbarriere weiter zu senken.

Traditionelle Barrieren Durchbrechen: Eine Aktienhandelserfahrung für Krypto-NutzerZoomexStocks führt eine neue Art der Zugangs zu den Aktienmärkten ein, die sich von traditionellen Brokerage-Systemen unterscheidet, und es den Nutzern ermöglicht, sowohl Krypto- als auch Aktienexposition innerhalb eines einzigen Kontos zu verwalten:• Kein Brokerage-Konto erforderlich – direkt mit einem bestehenden Zoomex-Konto handeln• Keine Fiat-Einzahlungen nötig – unterstützt den Handel mit USDT / USDC• Vereinfachter Arbeitsablauf – kein Plattformwechsel oder grenzüberschreitende Transfers

Dieses Produkt ist speziell für Krypto-nativen Nutzer entwickelt und ermöglicht einen reibungslosen Zugang zu globalen Märkten.

Drei Hauptkategorie von VermögenswertenDer erste Launch umfasst drei Kategorien zur Unterstützung vielfältiger Handelsstrategien:

Technologie-AktienApple (AAPLx), Tesla (TSLAx), Alphabet (GOOGLx), NVIDIA (NVDAx), Meta (METAx), Amazon (AMZNx)

Index-VermögenswerteNasdaq (QQQx), S&P 500 (SPYx)

Krypto-bezogene AktienMicroStrategy (MSTRx), Robinhood (HOODx), Circle (CRCLx), Coinbase (COINx)

Mit einem einheitlichen Konto können Nutzer problemlos die Allokation über mehrere Vermögenswerte hinweg und die Ausführung von Strategien auf einer einzigen Plattform verwalten.

Transparente Preisgestaltung und LiquiditätsdesignZoomexStocks verwendet einen Preismitnahme-Mechanismus basierend auf realen Marktdaten, die sich auf wichtige Börsen wie Nasdaq und NYSE beziehen:• Echtzeit-Preissynchronisation zur Minimierung von Abweichungen• Gewinn und Verlust werden basierend auf Preisbewegungen berechnet• Jederzeit kaufen und verkaufen für erhöhte Liquidität

Hinweis: ZoomexStocks bietet eine Exposition gegenüber der Preisentwicklung der zugrunde liegenden Vermögenswerte und stellt nicht den direkten Besitz von Aktien dar.

24/7 Handel: Über die traditionellen Marktzeiten hinausIm Gegensatz zu traditionellen Aktienmärkten unterstützt ZoomexStocks den 24/7-Handel, wodurch Nutzer:• Positionen vor den Wochenenden einnehmen können• Sofort auf makroökonomische oder branchenspezifische Nachrichten reagieren können• Dynamisch zwischen Krypto- und Aktienvermögenswerten absichern können

Dieses Modell bietet größere Flexibilität und passt sich der immer aktiven Natur der Krypto-Märkte an.

Zeitlich begrenzte Rückerstattungskampagne für HandelsgebührenUm die Nutzer dazu zu ermutigen, das neue Produkt zu erkunden, startet Zoomex eine Werbeaktion:• 100 % Rückerstattung der Handelsgebühren für Aktien-Token während der Kampagne• Maximale Rückerstattung pro Nutzer: 100 USDT• Gesamtpreis-Pool: 50.000 USDT• Belohnungen werden innerhalb von 7 Werktagen nach Ende der Kampagne verteilt

Nutzer müssen sich für die Kampagne anmelden, um sich zu qualifizieren.

👉 Jetzt beitreten:https://www.zoomex.com/en/alpha

Ein Produktleiter von Zoomex kommentierte:„ZoomexStocks geht es nicht darum, traditionelle Broker zu replizieren – es geht darum, Krypto-Nutzern eine intuitivere Möglichkeit zu bieten, auf globale Vermögenswerte zuzugreifen.“„Indem wir Barrieren abbauen und den Prozess vereinfachen, möchten wir den Nutzern ermöglichen, Multi-Asset-Portfolios innerhalb einer einzigen Plattform zu verwalten.“

Über ZOOMEXGegründet im Jahr 2021, ist Zoomex eine globale Krypto-Handelsplattform mit mehr als 3 Millionen Nutzern in über 35 Ländern und Regionen, die mehr als 700 Handelspaare anbietet. Geleitet von den Kernwerten „Einfach × Benutzerfreundlich × Schnell“, setzt sich Zoomex auch für die Prinzipien von Fairness, Integrität und Transparenz ein und bietet eine leistungsstarke, barrierearme und vertrauenswürdige Handelserfahrung.

Unterstützt durch eine leistungsstarke Matching-Engine und transparente Vermögenswerte- und Auftragsanzeigen gewährleistet Zoomex eine konsistente Handelsausführung und vollständig nachvollziehbare Ergebnisse. Dieser Ansatz reduziert Informationsasymmetrien und ermöglicht es den Nutzern, ihren Vermögensstatus und jedes Handelsergebnis klar zu verstehen. Während die Geschwindigkeit und Effizienz im Vordergrund stehen, optimiert die Plattform weiterhin die Produktstruktur und das allgemeine Nutzererlebnis bei gleichzeitig robuster Risikomanagementstrategie.

Als offizieller Partner des Haas F1 Teams bringt Zoomex den gleichen Fokus auf Geschwindigkeit, Präzision und zuverlässige Regelumsetzung von der Rennstrecke zum Handel. Darüber hinaus hat Zoomex eine exklusive, globale Markenbotschafter-Partnerschaft mit dem weltklasse Torhüter Emiliano Martínez geschlossen. Sein Professionalismus, seine Disziplin und Beständigkeit stärken das Engagement von Zoomex für fairen Handel und langfristiges Vertrauen der Nutzer.

In Bezug auf Sicherheit und Compliance hält Zoomex regulatorische Lizenzen wie MSB in Kanada, MSB in den USA, NFA in den USA und AUSTRAC in Australien und hat erfolgreich Sicherheitsprüfungen durch die Blockchain-Sicherheitsfirma Hacken bestanden. Zoomex arbeitet innerhalb eines konformen Rahmens, während es flexible Identitätsprüfungsoptionen und ein offenes Handelssystem anbietet, und baut eine Handelsumgebung auf, die für die Nutzer weltweit einfacher, transparenter, sicherer und zugänglicher ist.

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


Gregory, a digital nomad hailing from Poland, is not only a financial analyst but also a valuable contributor to various online magazines. With a wealth of experience in the financial industry, his insights and expertise have earned him recognition in numerous publications. Utilising his spare time effectively, Gregory is currently dedicated to writing a book about cryptocurrency and blockchain.

More articles


Gregory, a digital nomad hailing from Poland, is not only a financial analyst but also a valuable contributor to various online magazines. With a wealth of experience in the financial industry, his insights and expertise have earned him recognition in numerous publications. Utilising his spare time effectively, Gregory is currently dedicated to writing a book about cryptocurrency and blockchain.



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Meet3D founder returns with AI-powered OpenSim grid – Hypergrid Business

Meet3D founder returns with AI-powered OpenSim grid – Hypergrid Business


Snapshot from ThinkSim grid. (Image courtesy Fabio Bastos.)

From 2010 to 2015, I ran Meet3D — one of the largest OpenSimulator grids in the world, with 309 regions. Educational institutions, businesses, and communities used it for training simulations, virtual events, and live collaboration. It was one of the most active grids outside Second Life, and building it taught me everything I know about distributed infrastructure at scale.

When I shut it down in 2015, I moved on to other things. I founded Sedina in Uruguay — the first company to legally commercialize cannabis-derived products in Latin America. I built a commodities trading operation in Brazil. I moved to China. Eventually, I landed in Thailand, where Sedina now operates in the legal cannabis market. And somewhere in the middle of all that, I started thinking about AI governance.

I never really left virtual worlds. I just took a detour through hemp, soybeans, and artificial intelligence.

Snapshot from ThinkSim grid. (Image courtesy Fabio Bastos.)

Today, I run ThinkNEO, an enterprise AI control plane company based in Hong Kong. I am also building FOFO), a 100 percent open-source domestic AI robot. And I have returned to virtual worlds — this time with something I could not have built in 2010: ThinkSim.

ThinkSim is the successor to Meet3D. But it is also something entirely different. It is, as far as I know, the most technologically advanced OpenSimulator grid operating in the world today.

You can visit the grid via hypergrid at thinksim.space:9000 or create an avatar and log in directly.

Visitors from any other OpenSim grid can come in via hypergrid, access all the features, and take things back home with them — including 3D assets generated in-world, which belong to the avatar and can be taken back to their home grid.

Land rental is not available.

ThinkSim is not competing with other grids for residents — that is by design. I have no interest in pulling people away from their communities. What ThinkSim is, at its core, is a technology showcase and enterprise platform. Companies that want to use the space for presentations, conferences, product demonstrations, or simulations can rent space on a project basis — think venue rental, not neighborhood.

The grid is still being built, and its primary role is to showcase what ThinkNEO can do.

And, speaking of technology…

AI governance, integrated voice, 3D content creation, and AI agents

I did not return to OpenSim to build another social grid. I returned because I realized that a virtual world — properly architected — is the perfect demonstration environment for AI governance. Every interaction can be logged. Every agent can be audited. Every model inference can be attributed and controlled. So that is what we built. ThinkSim is not a grid with AI as an add-on. It is a grid where AI governance is the foundation.

For years, voice in OpenSimulator was a persistent headache. The options were fragile, expensive, or abandoned. I am proud to say we solved it. ThinkVox is a native dual-mode voice solution built directly into ThinkSim. It delivers full in-region proximity voice and grid-wide voice out of the box, with no dependency on external services and no additional cost to residents. If you have tried to run voice in OpenSim before, you will understand why this matters.

Snapshot from ThinkSim grid. (Image courtesy Fabio Bastos.)

One of the things I am most excited about is native 3D content creation directly inside the virtual world. Residents can generate 3D meshes in-world using Hunyuan 3D from Tencent. But we did not stop at generation — every asset passes through an automatic Blender headless pipeline that fixes normals, generates four levels of detail, and unwraps UV coordinates. The finished mesh goes directly to the user’s inventory, ready to use. No external tools. No manual post-processing. You prompt, and you receive a usable 3D object in your inventory.

ThinkSim Government is a real digital certificate system built into the grid. It issues verifiable, cryptographically signed documents — certificates, credentials, academic records — directly from within the virtual environment. The certificates are not props or decorations. They are real, auditable, and persistent. We demonstrated this capability live with researchers from USP/ICMC — the University of Sao Paulo’s Institute of Mathematics and Computer Sciences.

Snapshot from ThinkSim grid. (Image courtesy Fabio Bastos.)

OpenClaw is our in-world AI agent framework. OpenClaw agents work alongside residents — they can handle requests, assist with tasks, interact with the environment, and execute governance workflows. Every inference call made by an OpenClaw agent routes through ThinkNEO. Every decision is logged. Every action is auditable. This is not a chatbot attached to a virtual world. These are governed AI workers operating inside a virtual environment.

I am an NVIDIA Inception member, and we have integrated NVIDIA models natively into ThinkSim. Nemotron and other NVIDIA models are available to residents and agents directly inside the grid. We have also built virtual NVIDIA DGX machines inside ThinkSim — physical representations of the infrastructure running behind the scenes. When you walk up to a DGX machine in ThinkSim, you are interacting with the actual governance layer that controls AI inference across the entire grid.

I started my career in media. I co-hosted a radio program on Radio Roquete Pinto in Rio de Janeiro. I built one of the first live streaming platforms in Brazil in the 1990s, years before YouTube existed. So it felt right to bring music back into the virtual world. Radio SUNO is an AI-generated radio station running continuously inside ThinkSim, producing music in real time as the ambient soundtrack of the grid.

Every single inference call made inside ThinkSim — by residents, by agents, by the grid itself — routes through ThinkNEO’s AI control plane. Runtime guardrails are enforced in real time. An immutable audit trail is maintained for every action. Costs are attributed per user, per region, per operation. Nothing runs ungoverned. This is not a feature. It is the architecture.

Snapshot from ThinkSim grid. (Image courtesy Fabio Bastos.)

The demonstration we ran with researchers from the University of Sao Paulo’s Institute of Mathematics and Computer Sciences was, for me, one of the most meaningful moments in this project so far. USP/ICMC is one of Brazil’s leading AI research institutions. The researchers who participated were Ricardo Marcacini, Brucce Neves dos Santos, and Willian Hans Goes Correa.

The demo ran a complete five-stage government AI governance workflow inside ThinkSim. In the first stage, a citizen submitted a request in-world via an OpenClaw agent — exactly as they might walk into a government office and fill out a form, except the agent received the request and began processing it autonomously. In the second stage, the AI agent processed the submitted document and validated the requester’s identity, cross-referencing the information against the grid’s data layer. In the third stage, ThinkSim Government issued a real digital certificate — cryptographically signed and QR-verifiable. This was not a simulation of a certificate. It was an actual verifiable document. In the fourth stage, a SHA-256 audit trail was generated and stored immutably — every action in the workflow recorded in a tamper-proof chain. In the fifth stage, ThinkNEO logged every inference decision made throughout the process, creating a complete governance trail from citizen request to certified outcome.

The USP researchers made unprompted references to future use cases for AI governance in Brazilian public institutions. That conversation is ongoing.

Snapshot from ThinkSim grid. (Image courtesy Fabio Bastos.)

The AI engine that runs it all

ThinkNEO is the AI control plane that powers ThinkSim’s governance layer. It is also a standalone enterprise product that I sell to organizations that need to govern their AI deployments.

The core idea is simple: every inference call routes through ThinkNEO before reaching any model provider. ThinkNEO enforces runtime guardrails, provides full observability, attributes costs per business unit, and maintains an immutable audit trail. It is provider-agnostic — it works with Claude, GPT, Gemini, Nemotron, or any other LLM — and it requires no code changes on the application side.

As of April 2026, ThinkNEO is an NVIDIA Inception member and an approved Anthropic Partner Network member. Our MCP Server is listed on awesome-mcp-servers and Glama, with a free tier available with 500 calls per month, 12 governance tools, no credit card required.

Jeff Huber, the CEO of Chroma, responded personally to our FOFOCA project on a Sunday: “Very cool! Any way we can improve Chroma for your use case?” Pedro Minatel from Espressif’s Developer Relations team reached out within 48 hours of our outreach and invited us to publish a technical article on the official Espressif Developer Portal.

Can people license the tech for their own private grids? Yes. And this is actually the most exciting part.

I am currently developing a package of modules that will allow other OpenSim grids to integrate ThinkSim’s technology directly. My goal has never been to sell OpenSim itself, but to offer the innovations built on top of it to the broader community. The integration model works like this: grids will be ableto obtain an API key through a digital residency certificate issued by ThinkSim Government — so the certification system becomes the gatewayto the technology ecosystem.

ThinkVox, the voice solution, is already available for licensing by other grids and is, in fact, the only commercial service currently offered.

The vision is simple: ThinkSim is a place where people come to discover new technology and take it back to their home grids. Not a destination to live in, but a hub to learn from.

Contact me at fabio@thinkneo.ai to learn more, or follow us on Facebook, on X, on GitHub, on Discord, or subscribe to our YouTube channel.

Fabio Bastos
Fabio Bastos is the founder and CEO of ThinkNEO, an enterprise AI control plane company based in Hong Kong, and the builder of ThinkSim, the most technologically advanced OpenSim grid in the world today.
Fabio Bastos
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