AI-driven NFT Companion Coins are breathing new life into the NFT market. By turning static digital assets into interactive companions that grow with their owners, these tokens add emotional value, practical uses, and ongoing engagement. This is exactly what the market needs to recover.
Key Takeaways
NFT Companion Coins transform static collectibles into interactive digital entities.
Emotional bonds and cultural engagement help stabilize and increase NFT value.
Gamification and metaverse integration make NFTs more useful and entertaining.
No-code AI tools open creation to wider audiences.
Projects like FURO, Treasure DAO, and Pudgy Penguins are driving adoption.
The NFT Market Needs More Than Collectibles
The NFT boom in 2021 highlighted the appeal of digital ownership, but it also exposed some weaknesses. Collectibles and profile pictures became common, but many offered little more than bragging rights. Prices soared and then dropped, leaving many projects behind and making investors cautious.
AI NFT Companion Coins could change this story. By making NFTs interactive and engaging over time, these tokens give owners real reasons to keep coming back. They turn NFTs from simple art into digital partners, assistants, or even friends. This move from quick speculation to lasting usefulness is why many think AI-powered NFTs could bring the market back to life.
How Interactivity Changes the Game
Traditional NFTs don’t “do” anything beyond representing ownership. But AI NFT Companion Coins change this by creating two-way interactions. They can learn from users, remember conversations, and adapt over time.
FURO, for instance, offers Ethereum-based 3D NFT companions that chat, evolve, and provide companionship similar to a digital assistant or pet. These tokens create ongoing experiences instead of one-time purchases.
Treasure DAO takes it further with tools that let NFT owners transform their holdings into autonomous AI agents. These agents can participate in games, social media, and even crypto trading, making them valuable across multiple platforms.
This utility helps prevent the market fatigue that plagued earlier NFT waves. Instead of buying a collectible and forgetting about it, users develop ongoing relationships with their assets.
Emotional Bonds as a Source of Value
NFT Companion Coins do more than add new features; they add emotion. With memory, personality, and emotional responses, they help people form bonds like those with Tamagotchis, Pokémon, or early chatbots.
When owners connect with their digital companions, they are less likely to sell right away and more likely to support the ecosystem. This kind of emotional connection is just what the NFT market needs. CoinEx Academy points out that interactive relationships can help NFTs stay culturally relevant and financially stable over time.
Imagine a Pudgy Penguin NFT that not only looks cute but also remembers your preferences, generates personalized videos, and greets you when you log into a metaverse platform. That sense of connection drives loyalty in ways that a static image never could.
Gamification and the Metaverse Factor
Another driver of value is gamification. NFTs integrated with AI can become playable, interactive agents across digital environments.
Here are some of the roles NFT Companion Coins can take in gamified and metaverse settings:
Autonomous avatars: Characters that learn your style of play and adapt in virtual worlds.
Social agents: Entities that post on social platforms, engage with communities, and build your digital identity.
Digital traders: AI-powered NFTs capable of managing simple trades or transactions on your behalf.
Treasure DAO’s AI agent creator illustrates this perfectly. It lets owners of collections like Pudgy Penguins give their NFTs abilities beyond art, transforming them into active participants in digital economies.
Combining gamification and utility makes NFTs more engaging, especially for younger, gaming-focused audiences who already know interactive digital companions.
Lowering the Barrier: No-Code AI Creation
One of the most exciting aspects of NFT Companion Coins is accessibility. In the past, creating interactive NFTs required deep technical knowledge. Now, no-code tools are making it easy for everyday collectors and creators to build their own AI-driven companions.
Treasure DAO’s no-code AI agent creator is a prime example. It empowers holders to personalize NFTs without needing to write code. This democratization of creation broadens participation, encourages experimentation, and could spark a new wave of community-driven innovation.
As more platforms use these tools, we’ll likely see many unique companions that show off their owners’ creativity. This change follows a larger tech trend where no-code and low-code tools help more people get involved.
Case Studies: Leading Projects in AI NFT Companion Coins
To understand the potential of this trend, it’s worth looking at some standout projects:
FURO: Ethereum-based 3D AI companions that evolve with their owners. Future plans include integrating physical AI toys, blending digital and real-world interaction.
Treasure DAO: A pioneer in no-code AI tools, enabling NFT holders to transform assets into interactive agents across gaming, social, and financial ecosystems.
Pudgy Penguins: A well-known collection leveraging AI for custom content creation, allowing users to generate videos and experiences tied to their NFTs.
AI Companions (AIC): A BNB Smart Chain project offering AI-driven virtual companions with a native token for premium features, staking, and transactions.
Each project shows a different way forward, whether it’s through personalization, gamification, financial tools, or working across platforms. Together, they highlight just how many possibilities AI NFT Companion Coins offer.
Why Investors and Collectors Should Pay Attention
For investors, AI NFT Companion Coins have a strong appeal. Because they are interactive, people are more likely to keep them for longer. They are also less likely to go through the quick rise and fall that hurt earlier NFT collections.
Collectors also get more emotional value. Rather than owning art that just sits in a wallet, they have companions that interact, entertain, and grow over time. This move from static to dynamic ownership could help create a more lasting NFT ecosystem.
For builders and creators, there’s a chance to reach new groups like gamers, social media users, and people who want more personalized experiences. As these audiences start using AI NFTs, the need for interactive experiences will probably grow faster than for static collectibles.
NFT Companion Coins as a Path to Market Revival
AI-powered NFT Companion Coins could be what the NFT market needs to bounce back. By bringing together interactivity, emotional connection, gamification, and easy access, they offer real usefulness and lasting value. Projects like FURO, Treasure DAO, and Pudgy Penguins are already showing that this approach works.
For investors, collectors, and creators, the message is clear: the future of NFTs is not just about static art. It’s about having companions that grow, learn, and interact. If the industry moves in this direction, NFT Companion Coins could help the market grow again and stay important in Web3.
Published: August 21, 2025 at 11:34 am Updated: August 21, 2025 at 11:34 am
by Ana
Edited and fact-checked:
August 21, 2025 at 11:34 am
To improve your local-language experience, sometimes we employ an auto-translation plugin. Please note auto-translation may not be accurate, so read original article for precise information.
In Brief
Maestro’s enterprise-grade Bitcoin infrastructure enables Liquidium to offer fast, secure, and innovative Bitcoin-native and cross-chain lending by providing real-time indexing and mempool monitoring.
Enterprise-focused BitcoinFi infrastructure provider Maestro announced its support for Liquidium by offering advanced indexing and real-time mempool monitoring to enhance lending and credit operations directly on Bitcoin’s base layer.
Liquidium’s primary Bitcoin-native borrowing and lending platform, LiquidiumWTF, has facilitated over 4,230 BTC (roughly $500 million) in total loans using Ordinals, Runes, and BRC-20 tokens. In addition, LiquidiumFi, their cross-chain lending protocol, enables native borrowing and lending across Bitcoin, Ethereum, and Solana without relying on bridges or wrapped assets. The functionality of these protocols depends on immediate access to asset metadata and price floor information.
Maestro provides this critical infrastructure through its indexer and real-time mempool capabilities, allowing Liquidium’s platforms to respond instantly to on-chain activity and deliver faster, more precise loan execution.
“We’ve only been using Maestro for two months, but it’s already saved us what amounts to 100% of the time and resources we would have spent building our own infrastructure,” said Peter Giammanco, Liquidium’s co-founder and CTO, in a written statement. “It’s hard to overstate the speed boost it gave our dev cycle,” he added.
Maestro’s high-performance Bitcoin data infrastructure has enabled Liquidium to direct its engineering resources toward product development instead of building and maintaining blockchain systems from the ground up. This support has accelerated Liquidium’s development process, reducing time and resource expenditures, and represents a step forward in fostering Bitcoin-native solutions.
With faster development cycles, LiquidiumWTF recently launched Instant Loans, a feature that allows BTC borrowing using assets such as Ordinals or Runes as collateral through lender-funded vaults on Layer 1. At the same time, LiquidiumFi is introducing Cross-Chain Loans, permitting users to lock native BTC on Bitcoin and borrow stablecoins such as USDT on Ethereum. This system utilizes the Internet Computer Protocol’s (ICP) Chain Fusion technology, which provides secure programmable access to Bitcoin without the need for wrapped tokens.
“The vast majority of Bitcoin is still sitting idle in wallets. Liquidium is bringing real capital efficiency without compromising decentralization,” said the Co-Founder and CEO of Maestro in a written statement. “At Maestro, we’re proud to support Liquidium and bring real DeFi natively to Bitcoin,” he added.
Having handled billions of API requests and supporting more than 250 applications, Maestro serves as a key infrastructure provider for BitcoinFi, designed specifically for enterprise-level security and regulatory compliance. By enabling yield generation without the need to bridge or wrap Bitcoin-native assets, Liquidium is facilitating productive use of idle Bitcoin, allowing Ordinals, Runes, and BRC-20s to serve as collateral for BTC loans. Leveraging Maestro’s advanced Bitcoin data services, Liquidium is enhancing the efficiency and capabilities of the BitcoinFi ecosystem.
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.
More articles
Alisa Davidson
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.
Published: August 21, 2025 at 7:07 am Updated: August 21, 2025 at 7:07 am
by Ana
Edited and fact-checked:
August 21, 2025 at 7:07 am
To improve your local-language experience, sometimes we employ an auto-translation plugin. Please note auto-translation may not be accurate, so read original article for precise information.
In Brief
Microsoft’s new COPILOT feature in Excel integrates AI directly into spreadsheets, enabling natural language prompts, automated data analysis, content generation, and workflow efficiency.
Technology company Microsoft announced the launch of a new COPILOT feature in Excel for Windows and Mac, integrating large language model (LLM) capabilities directly into spreadsheets to streamline data analysis, content generation, and workflow efficiency. This functionality allows users to enter natural language prompts within a spreadsheet, reference cell values, and receive AI-generated results instantly. Because COPILOT is embedded in Excel’s calculation engine, outputs automatically update as underlying data changes, eliminating the need for scripts or add-ins to refresh. The feature is designed to work seamlessly with existing Excel functions such as IF, SWITCH, LAMBDA, and WRAPROWS, enabling users to enhance their spreadsheets with AI-powered insights without altering their current setup.
In order to utilize the new COPILOT feature, users can enter the formula =COPILOT(prompt_part1, [context1], [prompt_part2], [context2], …) into any spreadsheet cell. In this syntax, the prompt_part represents the text that defines the task or question for the AI, while the optional context argument refers to cell values or ranges that supply additional data or context for the AI to consider.
Maximizing Efficiency In Excel: How The COPILOT Function Streamlines Data Analysis, Summarization, And Automation
COPILOT function in Excel can enhance productivity by supporting tasks such as idea generation, data summarization, classification, and creating structured lists or tables directly within the spreadsheet. It allows users to brainstorm concepts, refine text, or produce SEO keywords without leaving the grid. It can also condense large data sets or lengthy passages into concise summaries, highlight patterns, and provide simplified explanations of complex calculations, which is useful for reporting and presenting information. Additionally, the function can categorize text data like survey responses, customer feedback, or support tickets, eliminating the need to export data to separate tools. Users can generate lists or tables that integrate smoothly into models or project plans, with multi-row and multi-column outputs that populate the grid automatically.
The quality of results depends on the clarity of the prompt. Clear instructions specifying which cells, rows, or columns to analyze, the desired output format, and the order of results yield the most effective outcomes. Direct action terms such as “summarize,” “categorize,” or “rank” improve performance, and providing examples helps tailor the output style. COPILOT operates on data contained within the large language model and cannot access live web data or internal business documents directly. For analysis of current or proprietary data, users must first import it into Excel and reference it in the function. Outputs should be reviewed for accuracy before being used in critical decisions or reports. According to Microsoft, support for live web and internal data is planned for future updates.
Usage is limited to 100 calls every 10 minutes, up to 300 calls per hour, with options to optimize usage by passing arrays. Each array call counts as one usage, while filling the function across multiple cells counts individually. The number of available calls will increase over time. The COPILOT function is optional and only appears when actively added to a worksheet.
The feature is currently available to Beta Channel users with a Microsoft 365 Copilot license on Windows Version 2509 (Build 19212.20000) or later, and Mac Version 16.101 (Build 25081334) or later. It will be made available to Excel for the web users soon through the Frontier program.
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.
More articles
Alisa Davidson
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.
Published: August 20, 2025 at 11:10 am Updated: August 20, 2025 at 10:54 am
To improve your local-language experience, sometimes we employ an auto-translation plugin. Please note auto-translation may not be accurate, so read original article for precise information.
In Brief
The 15th Blockchain Life Forum will take place in Dubai on October 28–29, bringing together over 15,000 participants, 200+ speakers, and 200+ exhibitor booths to explore Web3, cryptocurrencies, mining, and blockchain innovations.
International event centered on Web3, cryptocurrencies, and mining, Blockchain Life Forum announced that the 15th edition of its event is scheduled to take place in Dubai on October 28th–29th. The forum typically brings together leaders from the global crypto sector, including executives and founders from major companies such as Tether, Binance, Tron, OKX, Bitmain, Bybit, Circle, Kucoin, Trust Wallet, and Sandbox, alongside representatives from emerging startups and innovative teams within the industry.
This year’s anniversary edition of the Blockchain Life Forum is set to reach a remarkable scale, attracting over 15,000 participants from around the world.
Recognized for its high-quality audience, the event has established a reputation for fostering networking opportunities that support tangible business growth. More than 200 speakers from prominent industry companies will provide insights on the anticipated Bull Run and share strategies for navigating the current market cycle.
Blockchain Life Forum To Feature Three Main Stages Of Insights And 200+ Expo Booths
Across three main stages, attendees can access analytical reports, market forecasts, panel discussions, keynote presentations, and practical workshops, offering a comprehensive range of content.
The expo area will host over 200 booths from leading companies across multiple sectors, presenting mining equipment, crypto exchanges, OTC services, legal solutions, AI tools, new coins, blockchain initiatives, and other innovations.
Additional information about the event, including registration details, the full agenda, and speaker lineup, is available on the official website at blockchain-life.com.
Attendees can receive a 10% discount on tickets by using the promo code Mpost during registration.
The Mpost team will be attending the forum to cover the latest developments and insights in the cryptocurrency, Web3, and blockchain sectors.
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.
More articles
Alisa Davidson
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.
Published: August 20, 2025 at 10:43 am Updated: August 20, 2025 at 10:43 am
by Ana
Edited and fact-checked:
August 20, 2025 at 10:43 am
To improve your local-language experience, sometimes we employ an auto-translation plugin. Please note auto-translation may not be accurate, so read original article for precise information.
In Brief
Tea app’s data breach exposed 72,000 files and 1.1 million private messages, highlighting the dangers of centralized ID storage and the need for decentralized systems to protect users.
Kee Jefferys, co-founder of the decentralized messenger Session, shared his perspective on the recent Tea app data breach, explaining how the incident highlights the dangers of centralized ID storage and why decentralized systems are better suited to protect users.
Tea, the app designed for women that promised a safer dating experience, has shut down its messaging system following one of the largest data breaches of the year. What started as a viral platform to help women flag potentially dangerous men ended with millions of private conversations and ID documents being shared on leak forums.
The breach, revealed in late July, affected users who joined before February 2024. At least 72,000 files were exposed, including government IDs that the company had promised to delete after verification. On top of that, over 1.1 million private messages were compromised, ranging from everyday chats to highly sensitive discussions about abuse and health.
Security experts say the collapse was inevitable. Kee Jefferys pointed out that systems that collect and centralize personal identifiers create the ultimate target. Once a database contains IDs, selfies, and unencrypted metadata, attackers only need to break in once to access everything.
From Promise to Exposure
Tea became popular by providing tools to reverse-image search dating profiles, run background checks, and create a supposedly secure space for women. However, its reliance on mandatory selfie-ID verification was a fundamental flaw.
According to investigators, the first leak happened when an unsecured storage bucket, apparently set up for compliance requests, was left exposed. Files that should have been deleted were still accessible and were quickly copied. A few days later, a separate vulnerability allowed attackers to download entire message archives in bulk, without any rate limits or encryption to slow them down.
What was sold as protection instead gave potential abusers a detailed map of user interactions, complete with timestamps and location data.
Why Centralization Fails?
Take the Tea case, for instance. It underscores the ongoing issues with centralized systems: storing sensitive information indefinitely, relying on single points of failure, and lacking strong encryption. Unlike passwords, biometric data like faces can’t be easily changed if leaked. Stolen selfies can be used for identity theft, deepfakes, or setting up fake accounts.
Jefferys notes that even if data is encrypted when stored, it’s not much help if the encryption keys are stored alongside it. The “who, when, and where” of digital conversations, known as metadata, remains particularly vulnerable to those trying to evade surveillance or harassment.
What Could Be Done Differently?
Alternative designs exist that could have prevented such a collapse:
Zero-knowledge proofs can verify age or gender without retaining sensitive photos.
Decentralized networks can distribute data across nodes, eliminating a single jackpot for attackers.
End-to-end encryption can keep messages unreadable even to the servers that relay them.
According to Jefferys, adopting these principles would make it vastly harder for attackers to extract meaningful data. Instead of one breach exposing everything, multiple decentralized barriers would have to be broken at once.
Time for Regulators to Act
Tea’s defense, citing retained IDs for potential investigations, reveals a broader policy gap. Regulators increasingly require digital ID verification but seldom enforce strict deletion rules or decentralized safeguards. Without these measures, new apps may repeat past mistakes under the guise of safety.
The collapse of Tea illustrates how rapidly trust can dissipate when private information is mishandled. Safety-focused platforms cannot rely solely on promises. Unless they abandon centralized ID storage and adopt privacy-centric designs, they risk becoming less a refuge for women than a blueprint for those who wish to harm them.
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
Victoria is a writer on a variety of technology topics including Web3.0, AI and cryptocurrencies. Her extensive experience allows her to write insightful articles for the wider audience.
More articles
Victoria d’Este
Victoria is a writer on a variety of technology topics including Web3.0, AI and cryptocurrencies. Her extensive experience allows her to write insightful articles for the wider audience.
Wilder World is leveling up. The metaverse gaming project has officially launched its first-person shooter (FPS) mode in Super Early Access at Gamescom 2025. Backed by Samsung, the launch includes a global $100,000 tournament and introduces a new way to explore its growing digital world.
Key Takeaways
Wilder World’s FPS mode is now live in Super Early Access at Gamescom 2025
A $100K tournament is running through September, with a live final on September 24
Samsung-branded NFTs are available to Gamescom attendees via NFC tap-ins
The FPS adds a new dimension to Wilder World’s evolving metaverse
The WILD token ecosystem continues to grow through new initiatives
Gamescom Launch and Samsung Integration
On August 20, Gamescom attendees got a first look—and hands-on play—with Wilder World’s new FPS mode, set in Wiami, a massive digital city built in Unreal Engine 5. The sharp visuals and fast action introduce a fresh style of gameplay for the Wilder community. It’s the first time players can experience Wiami through the lens of a tactical shooter.
The tournament is open to all players, with qualifiers running from August 25 to September 9, followed by playoffs from September 10 to 15. The top five finalists will be flown in, all expenses paid, for the grand finale on September 24 at a still-undisclosed location, where they’ll compete for the $100K prize pool.
Samsung is a major partner for the launch, offering on-site rewards to Gamescom attendees. By tapping NFC towers, players can claim a Samsung-branded POAP NFT—short for “Proof of Attendance Protocol.” It’s a digital badge that also works as a playable in-game item that can be used across the Wilder World metaverse.
Source: Wilder World
Expanding Wilder World’s Universe
Wilder World got on the map with its 2024 racing game, Wilder Wheels. Now, the team is stepping into one of gaming’s most competitive genres. The addition of FPS gameplay is designed to broaden the platform’s appeal while sticking with core Web3 ideas—like asset ownership, user-made content, and a community-driven economy.
This latest launch builds on recent momentum for the WILD token. Highlights include the Lamborghini Temerario NFT collection selling out in just four minutes, the launch of Wiami.fun for user-generated assets, and Operation Titan, a multi-million-dollar WILD buyback program.
Other updates, like Metropolis and CYPHER, show the team’s ongoing push to grow the ecosystem and keep players and investors engaged.
Wilder World has also been featured in the Epic Games Store’s Top 10 Most Anticipated Games, alongside several big-name Web2 titles. With strong visuals, Web3 functionality, and active community support, it’s working to stand out in a crowded market.
Final Thoughts
Speaking about the launch, Wilder World co-founder and executive producer n3o put it this way:
“The $100K tournament isn’t just about esports—it’s a global stage to show the world that Wilder World is building at the frontier of gaming and the metaverse.”
Wilder World’s FPS debut brings together competitive gameplay, digital rewards, and support from a global tech brand. Whether it signals a shift in mainstream Web3 adoption or not, it’s a clear example of how blockchain and gaming continue to intersect in new and creative ways.
Published: August 19, 2025 at 11:42 am Updated: August 19, 2025 at 11:42 am
by Ana
Edited and fact-checked:
August 19, 2025 at 11:42 am
To improve your local-language experience, sometimes we employ an auto-translation plugin. Please note auto-translation may not be accurate, so read original article for precise information.
In Brief
Eastern Europe’s crypto media faces turbulence, with 63% of outlets losing traffic in Q2 2025, despite global crypto markets rebounding. Generative AI is affecting information discovery and consumption.
Eastern Europe’s crypto media landscape is experiencing a period of quiet turbulence. Outset PR’s latest research reveals that nearly two-thirds (63%) of outlets lost traffic in Q2 2025, despite global crypto markets rebounding strongly. The issue isn’t just audience fatigue – it’s the rise of generative AI that’s changing how people discover and consume information.
The Decline of Discovery, but Loyalty Holds Strong
At first glance, the numbers appear bleak: crypto-native outlets saw an 18% decline, and even mainstream finance and tech publications faced steady erosion. However, the underlying story is more nuanced. User loyalty remains remarkably strong, with direct visits and branded searches still accounting for the majority of traffic. This suggests that while casual clicks are decreasing in AI summaries, committed readers continue to seek out trusted sources.
Media companies face a dual reality: a decline in speculative discovery, yet stability in loyalty-driven readership. This situation poses both risks and opportunities. The risk is clear: smaller outlets, already reliant on Google rankings or aggregator referrals, are being squeezed out. However, the opportunity lies in adaptation. With the emergence of AI tools like ChatGPT and Perplexity as new gateways, media brands that optimize for structured, high-quality, and semantically clear content will be better positioned to appear in these “answer-first” interfaces.
Regulation and Algorithms: A Double Bind
Furthermore, technology is not the only variable. Regulatory complexity adds another layer of volatility, shaping editorial choices not only by reader demand but also by laws and algorithms. Compliance, however, does not guarantee visibility, as several editors have noted that they “follow the rules yet still lose ranking.”
Consolidation Raises the Stakes
The data reveals another uncomfortable truth: the crypto world is getting more concentrated. Just 17 outlets account for over 80% of all crypto traffic in Eastern Europe, with Russia and Poland responsible for 82% of the region’s readership. While this centralization may bring efficiency for advertisers and PR teams, it also risks limiting the diversity of voices in a space that relies on decentralization.
What lies ahead is not just about who publishes news, but who establishes trust as a knowledge brand. By diversifying into education, analysis, and community-driven services, outlets can offset traffic losses and foster deeper engagement. For instance, those incorporating explainer content, interactive tools, or AI-verified reporting will shine in an environment where summaries abound, but credibility is scarce. Ultimately, survival will depend not on volume, but on authority.
Eastern Europe’s crypto media is at a critical juncture. Outlets relying solely on traditional search visibility will continue to lose traffic, while those investing in brand trust, AI-optimized publishing, and credible reporting can establish a sustainable presence. The challenge is significant, but the opportunity for reinvention is real.
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
Victoria is a writer on a variety of technology topics including Web3.0, AI and cryptocurrencies. Her extensive experience allows her to write insightful articles for the wider audience.
More articles
Victoria d’Este
Victoria is a writer on a variety of technology topics including Web3.0, AI and cryptocurrencies. Her extensive experience allows her to write insightful articles for the wider audience.
Published: August 19, 2025 at 10:57 am Updated: August 19, 2025 at 10:57 am
by Ana
Edited and fact-checked:
August 19, 2025 at 10:57 am
To improve your local-language experience, sometimes we employ an auto-translation plugin. Please note auto-translation may not be accurate, so read original article for precise information.
In Brief
Innerworks has raised $4 million in seed funding to expand its AI-driven fraud detection platform that identifies authentic human behavior amid sophisticated synthetic interactions.
Company specializing in Synthetic Threat Intelligence, Innerworks announced the completion of a $4 million seed funding round aimed at expanding its platform for providing advanced internet security. The round was led by AlbionVC, with participation from Digital Currency Group, Founders Capital, Firestreak Ventures, NVTBL Ventures, and Metaversal Ventures. Additional investors include Crypto.com (Cronos) and senior executives from Citi, UBS, Coinbase, Checkout.com, and Apple.
“We invested in Innerworks because they’re not incrementally improving fraud detection, they’re fundamentally reimagining it,” said Cat McDonald, Partner at AlbionVC, in a written statement. “Their ability to detect what other systems miss represents an essential new security layer for the financial sector’s response to this new threat landscape,” she added.
Founded by Oliver Quie as CEO, Oscar Hayek as CTO, and Tom Ryan as Chief Product Officer, the company brings extensive expertise in AI and decentralization. Innerworks has developed innovative technology to detect and counter sophisticated AI-driven fraud that often evades conventional security systems. The technology has demonstrated effectiveness in high-risk sectors, including banking and national infrastructure defense, and through a partnership with incident response firm ZeroShadow, has helped identify activity tied to North Korean actors responsible for the $1.5 billion cryptocurrency heist, the largest in history.
Innerworks intends to utilize the newly secured funding to expedite the advancement of its product offerings, broaden the reach and activity of its RedTeam ecosystem, and increase its operational presence in major financial hubs worldwide. The company’s primary objectives include enhancing the platform’s adversarial training functionalities and establishing strategic collaborations with leading financial institutions that are proactively addressing the challenges posed by synthetic threats.
Innerworks: Leading AI-Driven Fraud Detection With 97% Threat Accuracy
The need to differentiate genuine human behavior from complex AI-generated synthetic interactions has become increasingly urgent. In 2024 alone, bot-related attacks caused nearly $200 billion in losses, with automated traffic now representing the majority of online activity. Innerworks’ Synthetic Threat Intelligence addresses a shifting security landscape where the primary challenge is not merely detecting known malicious actors, but identifying authentic human interactions amidst AI-generated activity that closely mimics legitimate users. The threat is escalating fast, with deepfake-related fraud increasing by more than 2,000% since 2022.
The Innerworks platform generates reliable risk signals from thousands of real-time data points while requiring only minimal integration, operating discreetly behind applications or websites without disrupting the user experience. The technology has been adopted by leading payments and digital asset companies, including Crypto.com (Cronos), ZeroShadow, which is investigating the $1.5 billion ByBit hack, and a major payments network serving over 150 million users.
A central feature of the platform is RedTeam, the first crypto-bounty program designed for adversarial AI testing. This initiative leverages a global network of ethical hackers and AI agents to continuously probe for vulnerabilities, challenge Innerworks’ systems, and contribute to the development of its defenses.
Innerworks has achieved a 97% detection rate against even the most advanced AI threats, surpassing the performance of multibillion-dollar companies and outperforming all top five incumbent security providers in comparative evaluations.
“We’re facing AI-powered deception that can mimic legitimate users with frightening accuracy,” said Oliver Quie, CEO of Innerworks, in a written statement. “Existing security companies have become obsolete because they assume threats will behave differently than legitimate users. Our platform solves this problem using Synthetic Threat Intelligence and decentralised training to defend against even the most sophisticated AI-based attacks,” he continued.
“Having now proven our approach alongside global brands, we feel Innerworks is well positioned to become core security infrastructure for the wider internet, helping to protect user ecosystems online,” Oliver Quie added.
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.
More articles
Alisa Davidson
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.
Published: August 19, 2025 at 5:37 am Updated: August 19, 2025 at 5:37 am
by Ana
Edited and fact-checked:
August 19, 2025 at 5:37 am
To improve your local-language experience, sometimes we employ an auto-translation plugin. Please note auto-translation may not be accurate, so read original article for precise information.
In Brief
BitMind has launched a mobile app that provides real-time, AI-powered detection of deepfake content on images and videos from social media and other sources.
Decentralized AI company BitMind introduced a mobile application designed to provide real-time detection of deepfake content on smartphones. As losses from deepfake-related scams approached $900 million in the first half of 2025, the app allows users to quickly analyze images and videos from platforms including Instagram, TikTok, and X with a single tap, achieving an identification accuracy exceeding 88 percent for AI-generated material.
The application offers several notable capabilities, including instant scanning of images and videos, providing real-time AI detection results for media and URLs through advanced algorithms. It allows seamless import of content from social media platforms or device galleries, enabling users to analyze material from Instagram, TikTok, and X without interruption.
The AI algorithms powering the application continuously adapt to developments in generative AI, delivering results in seconds rather than minutes. The platform is available on both iOS and Android, allowing detection of AI-generated content from any source.
“Whether you’re spotting a fake ad or verifying a video call, BitMind keeps it real,” said Ken Jon Miyachi, Co-Founder of BitMind, in a written statement. “Our mission is to protect your digital trust,” he added.
The wait is over. The world’s first AI detection app is here. 🚨📱
AI or Not application is now available on boththe App store and Google play store.
Download now!!!🚀 pic.twitter.com/nUfq7DPDsN
— BitMind (@BitMindLabs) August 18, 2025
BitMind operates on the Bittensor network, a decentralized, open-source machine learning platform that leverages blockchain technology to establish a global peer-to-peer ecosystem for the development and collaboration of AI models.
The system is designed to maintain user privacy while adapting to emerging deepfake techniques. Functioning as subnet 34 within the Bittensor network, it focuses specifically on AI content detection and validation. Additionally, BitMind’s API platform offers developers the necessary tools and infrastructure to create applications that interact with Bittensor subnets.
Recently, BitMind has introduced the Generative Adversarial Subnet (GAS), a new Bittensor subnet designed to advance AI detection and stay ahead of evolving generative content.
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.
More articles
Alisa Davidson
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.
Published: August 18, 2025 at 10:30 am Updated: August 18, 2025 at 5:04 am
by Ana
Edited and fact-checked:
August 18, 2025 at 10:30 am
To improve your local-language experience, sometimes we employ an auto-translation plugin. Please note auto-translation may not be accurate, so read original article for precise information.
In Brief
The top ten Web3 AI ecosystems are leveraging blockchain and AI to build scalable, secure, and autonomous decentralized applications across diverse industries.
Blockchain provides a robust, transparent and secure platform for building decentralized applications, while artificial intelligence has the ability to adapt, learn and automate complex tasks. The fusion of these technologies has unleashed a wave of innovation, with intelligent dApps and AI agents that redefine how data is owned, monetized and processed.
Already, we see a number of ecosystems emerging to take the lead in this area, helping to advance scalability and interoperability, and most importantly, support the collaborative development of smarter, more autonomous Web3 applications.
Let’s take a look at the top ten ecosystems pioneering this new era of transformation.
The Biggest Ecosystems In Web3 AI
1: 0G Labs
0G Labs is building a modular blockchain specifically for AI applications that coordinates decentralized resources such as compute, data availability layers and storage, making them available to AI applications at low costs.
By having a dedicated blockchain for data-intensive AI applications, 0G ensures they won’t have to compete for precious block space with unrelated Web3 apps. This is essential for AI due to the vast amounts of data it consumes and the need to operate in real-time. 0G’s blockchain also ensures verifiably neutral training and execution, with data that’s free from copyright and privacy concerns.
Strengths: 0G’s dedicated blockchain infrastructure allows AI applications to scale and tap into lower cost decentralized compute resources for more sustainable operations. As one of the largest Layer-1 chains for AI, it has built up an expansive network of more than 100 partners, including cloud infrastructure giants Google Cloud and Alibaba Cloud, plus significant Web3 players like Arbitrum, Polygon, Singularity Finance, OKX and Fireblocks.
Use cases: dApps building on 0G span a wide gamut of use cases, with Atti.ai focused on decentralized robotic training, Lumoz offering a modular compute layer for AI computations, Pexu Labs building decentralized AI for creators and Capx AI focused on autonomous DeFi agents.
2: Fetch.ai
Fetch.ai combines AI and blockchain to support the development of intelligent economic agents that can automate tasks ranging from data analysis to decision-making, without any human supervision. These agents, also known as digital twins, can be used in a wide range of applications, including DeFi trading, managing logistics, booking hotels and more, learning from their experiences over time to become more effective.
Strengths: Fetch.ai’s main strength lies in machine-to-machine communication, which paves the way for AI agents to collaborate with one another to perform more complex, multistep tasks. It also offers one of the largest decentralized marketplaces for developers to find AI agents.
Use cases: Economic agents support numerous use cases, with one of the most obvious being DeFi, where they can engage in autonomous trading and optimize portfolio management for investors. Besides DeFi, Fetch.ai is also working to enable smarter cities, supporting autonomous public transportation systems and energy grid optimization. Another promising area is the gig economy, where it facilitates peer-to-peer interactions between service providers and their clients.
3: SingularityNET
The SingularityNET project aims to build the world’s largest marketplace for AI-powered services. Developers can create and deploy AI algorithms for natural language processing, image analysis, data predictions and other skills. SingularityNET provides them with a way to monetize their AI models, while others can access them easily to build comprehensive autonomous applications.
Strengths: The sheer size of SingularityNET’s marketplace makes it stand out as one of the top Web3 AI ecosystems, with hundreds of different AI services available. It provides extensive tools for service management, with developers able to analyze how their models are used and set prices accordingly. It operates a token-based economy centred on the AGIX cryptocurrency, which is interoperable across blockchains, enhancing its usefulness.
Use cases: SingularityNET’s marketplace spans the entire AI industry, with models and services for industries such as finance, healthcare, supply chains, social media, content creation, video generation, compliance and more.
4: Ocean Protocol
A decentralized data exchange platform, Ocean Protocol is all about securely sharing data for AI training. It has built a marketplace where data owners can list their datasets, control access and collaborate on creating new data markets. Transactions are powered by the OCEAN token, enabling low-cost and private data exchanges.
Strengths: Ocean Protocol enables the tokenization of data assets that can be traded on the blockchain as “data tokens” to simplify how information is bought and sold. It also supports “compute-to-data”, which is a novel feature that makes it possible for AI algorithms to run on datasets without moving it to another platform. This helps to guarantee privacy and security for data owners, protecting datasets against unauthorized access.
Use cases: With Ocean Protocol, businesses and individuals alike have a secure way to monetize their data, earning token-based rewards whenever their assets are used by AI algorithms. The platform supports high volumes of information for the most data-intensive AI applications, as well as collaboration between data providers for research purposes.
5: Bittensor
The open-source Bittensor protocol provides tools for creating and sharing AI models, operating as a peer-to-peer network. Developers can train, deploy and then trade foundational models on a platform that’s focused on democratizing AI. By enabling multiple developers and data providers to contribute to the development of AI models, it provides compelling alternatives to those built by large corporations such as OpenAI and Google.
Strengths: Bittensor’s decentralized network supports a collaborative environment, where individuals can share their knowledge and make use of community-owned resources, including development tools and compute. The network is highly incentivized, with miners processing computations and data providers sharing datasets in return for TAO tokens. Bittensor operates a unique consensus mechanism known as “proof-of-intelligence”, rewarding nodes for the quality of their outputs, rather than the volume of their work.
Use cases: Bittensor’s network consists of multiple subnets for collaborative and global AI learning, with each one operating independently but connected through the main Subtensor blockchain. These subnets cater to many AI services, including code generation, summarization, content filtering and medical diagnostics.
6: Gensyn
Gensyn has built an AI-focused blockchain network that’s designed to provide developers with access to affordable and specialized computing resources for machine learning. Developers can connect to various kinds of compute clusters, including Nvidia GPUs, to train models based on their speed, performance and cost considerations.
Strengths: The major advantage of Gensyn is the variety and low cost of its compute resources. It offers access to idle compute from network participants, including small data centers, PCs, laptops and even smartphones. It’s a peer-to-peer network that enables direct connections between compute providers and developers, with a token-based economy that makes resources available at lower costs than traditional cloud infrastructure providers. Another advantage of Gensyn’s network is its scalability, with infrastructure resources available from across the globe.
Use cases: Gensyn’s goal is to democratize access to AI compute, ensuring that even the smallest startups and individual developers can access the resources they need to train sophisticated AI models. It offers a more inclusive environment for building AI that’s open to everyone.
7: NEAR Protocol
Unlike the projects listed above, NEAR Protocol is a more expansive network that caters to AI alongside many other use cases, including DeFi and Web3 social and gaming applications. Its shared, proof-of-stake blockchain platform supports the development of scalable dApps and sophisticated smart contracts, and features dozens of integrations that enable the creation of intelligent, AI applications.
Strengths: NEAR Protocol appeals to AI developers thanks to its sharding technology, which divides the network into small segments that can process transactions in parallel, turbocharging throughput. This means NEAR supports blazing-fast transactions, with finality achieved in less than 600 milliseconds, making it ideal for AI dApps that need to process thousands of transactions. It has also developed the Bitte Protocol, which is a framework for building no-code smart contracts, using natural language.
Use cases: With NEAR Protocol, developers can build almost any kind of AI application, including those that rely on autonomous AI agents capable of making decisions without human input, paving the way for automated DeFi, trading and portfolio rebalancing.
8: Polygon Network
As a leading Ethereum Layer-2 scaling solution, Polygon Network is ideally suited for the development of highly-scalable AI applications. It dramatically enhances transaction speeds and reduces their costs by processing them on a separate blockchain before finalizing them on the Ethereum network at regular intervals. In this way, it can support the creation of intelligent applications and agents in the world’s biggest DeFi ecosystem.
Strengths: Polygon’s strengths are its network infrastructure, which boasts extremely high throughput and miniscule gas fees, which are a requisite for AI apps that need to scale to support thousands of transactions per minute. It’s fully compatible with Ethereum and other EVM chains, and has built up one of the most extensive ecosystems of any L2, which developers can tap into to create more sophisticated AI apps with ease.
Use cases: Developers have already built dozens of AI-powered apps on Polygon, with examples being NFT projects, on-chain analytics services and automated trading bots that can execute predefined strategies while the user sleeps.
9: Akash Network
A decentralized cloud infrastructure platform, Akash Network helps to connect developers needing to access low-cost compute resources with anyone who is looking to rent out their underutilized or idle hardware. For instance, someone with a laptop fitted with a powerful Nvidia graphics card can rent this hardware when they’re not playing games, allowing them to earn a passive income.
Strengths: With Akash’s decentralized marketplace, users can list their idle computing resources anytime they’re available for others to use, and it will automatically delist them when they’re not available. Developers and organizations can submit a request specifying the compute resources they require for any duration, and Akash’s automated bidding system will connect them with the most competitively-priced hardware available that meets their requirements.
Use cases: Akash Network is all about helping AI developers through cost efficiency, and it offers bespoke AI training environments that provide significant savings of up to 85% when compared to traditional cloud infrastructure providers, such as AWS and Microsoft Azure. It dramatically lowers the barrier to entry for building AI.
10: ChainML
ChainML is a research lab that aims to create a foundation for decentralized AI agents, providing low-cost access to essential resources and development tools via its blockchain-based framework. By integrating AI with blockchain, it believes it can make agentic AI more accessible while offering stronger security.
Strengths: According to ChainML, the key advantage of its blockchain platform is that it offers a secure, transparent and affordable environment for anyone to build and deploy AI agents with verifiable outputs. It collaborates with partners to provide simple tools for creating smart contracts that automate financial transactions and micropayments.
Use cases: ChainML is the creator of Council Analytics, which is a generative AI conversational analytics platform that makes it simpler to query data, using only natural language commands. Developers are using ChainML to build AI agents that automate data analytics workloads in various industries, including finance, healthcare, drug discovery, supply chain logistics and more.
Final Thoughts
The marriage of blockchain with AI is an exciting development for both industries, potentially leading the way to more autonomous and intelligent Web3 projects that will transform the way people interact with money and digital assets.
By building AI on decentralized blockchain infrastructure, developers are opening the door to more efficient applications with heightened privacy and security that have full autonomy to act on behalf of human users. This will lead to new possibilities around decentralized prediction markets, AI-powered trading strategies and automated wealth building. Moreover, with its tokenized economics, blockchain-based AI becomes much more affordable, expanding its benefits to many more users.
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.
More articles
Alisa Davidson
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.
Steam has added Gotchi Guardians—a multiplayer tower defense game developed by Pixelcraft Studios—to its store with a full release scheduled for the third...
