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Roblox Metaverse: A Groundbreaking World of Creativity or Just Another Fad? – Web3oclock

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Roblox Metaverse: A Groundbreaking World of Creativity or Just Another Fad? – Web3oclock


What is Roblox Metaverse?

Why is Roblox Called a Metaverse?

A Brief History of Roblox

Features That Make Roblox a Metaverse Powerhouse

How to Get Started in Roblox Metaverse?

How Robux Powers the Roblox Metaverse?

Comparing Roblox to Sandbox

The Future of Roblox Metaverse

What is Roblox Metaverse?

Why is Roblox Called a Metaverse?

The Roblox Advantage:

How to Get Started in Roblox Metaverse?

1. Sign Up for a Roblox Account:

Click on “Sign Up” and fill in your basic details like username, password, and date of birth. 

Customize your avatar after registration to reflect your virtual identity.

PC or Mac: Download directly from the Roblox website.

Mobile Devices: Available on Google Play Store (Android) and App Store (iOS).

Xbox Console: Accessible through the Xbox store.

VR Headsets: Compatible with Oculus Rift and HTC Vive for immersive experiences.

Go to your Avatar Editor under the main menu.

You can choose from thousands of free and premium clothing, accessories, and hairstyles available on the site.

If you have Robux, buy exclusive items in the Avatar Shop.

Join your friends in multiplayer games.

Try out puzzle-solving adventures that test your problem-solving skills.

Attend events such as concerts and virtual parties.

Auto-save your progress, so you can resume games anytime.

Chatting: Texting or voice chatting in the game

Join Groups: Find other groups that like what you like and engage their communities.

Add Friends: Send requests to people you meet and would like to be friends with.

Pro Tip: Treat others with respect and adhere to Roblox’s guidelines for safe and fun interactions.

Download and install Roblox Studio from the official website.

Open up the program and select a template or start from scratch.

Use drag and drop to create gameplay mechanics, characters, and environments using Lua scripting.

Publish your game for others to play on the platform.

Earn money from your games by making in-game purchases or premium access.

Sell merchandise such as clothing, accessories, or game passes in the Roblox Marketplace.

Join the Developer Exchange Program, also known as DevEx, which allows you to change some of your Robux into real money.

Collect unique items.

Get to meet new people.

Experience a taste of the entertainment fun of the metaverse.

Use Parental Controls: Parents can set restrictions on games, spending, and chat features.

Avoid sharing personal information with other players.

Report and block any inappropriate behavior using the in-game tools.

How Robux Fuels the Roblox Economy?

1. Purchasing Power for Players:

Buy unique clothing, accessories, and skins to customize your avatar.

Unlock game passes and special items that provide additional abilities or perks in games.

Access exclusive premium games or features that elevate gameplay.

Integrate in-game purchases, such as virtual items, upgrades, and currencies.

Offer premium access to specific areas or features within their games.

Earn developer products royalties, where players buy consumable items.

5. Roblox Premium: Boosting Robux Benefits

Comparing Roblox to Sandbox: Which Metaverse Reigns Supreme?

FeatureRobloxSandboxLaunch Year20062018Core FocusUser-generated games and social interactionDecentralized virtual land ownershipTechnologyProprietary platform with centralized serversBlockchain-based with NFTs and smart contractsTarget AudienceYounger audience, casual gamersCrypto enthusiasts, developers, investorsCurrencyRobuxSAND tokenCreation ToolsRoblox Studio (easy for beginners)VoxEdit and Game Maker (advanced, NFT-focused)EconomyCentralized virtual currency (Robux)Decentralized with NFT-based assetsMonetizationIn-game purchases, developer revenue sharingSelling virtual land, NFTs, and SAND tokensAccessibilityPC, Mac, mobile, Xbox, VRPC, Mac, limited VRCommunity Size65+ million daily active usersGrowing, smaller but blockchain-focused

Roblox Metaverse and You: Why It Matters



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I’m A Celebrity fans declare “finally” as two campmates announced for tonight’s trial

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    I’m A Celebrity fans declare “finally” as two campmates announced for tonight’s trial


    I’m A Celebrity viewers are thrilled to see Jane Moore and Maura Higgins team up for the next Bushtucker trial.

    The trial will see the Love Island star and Loose Women panellist help each other navigate tunnels filled with creepy crawlies.

    The much-awaited duo in the next challenge is everything I’m A Celebrity viewers are discussing ahead of tonight’s (November 26) episode.

    Jane Moore will team up with Maura Higgins (Credit: ITV)

    Jane Moore and Maura Higgins in next I’m A Celebrity trial

    At the end of Monday’s episode, Ant and Dec teased Tuesday night’s Bushtucker trial. However, it wasn’t revealed on the main show which two celebs would be doing the trial.

    Meanwhile, on spin-off programme Unpacked which aired after, co-host Sam Thompson shared details about the Fright at the End of the Tunnel trial.

    The chosen campmates have two extreme challenges to navigate – one through complex pipelines and the other, underwater.

    Maura and Jane will have to complete word code challenges to crack open various locks to collect stars for the camp.

    Maura Higgins talking in the Bush Telegraph on I'm A Celebrity

    Viewers thrilled to see Maura in Bushtucker trial (Credit: ITV)

    According to Sam, occupying the pipelines will be 20,000 cockroaches, 50 spiders, 25 toads, 10 lizards, four kilos of giant mealworms, two large pythons, and rats.

    Whereas, the water challenge will include 200 yabbies, 50 eels, 20 mud crabs, 10 snakes, six water dragons, five small crocodiles, and 25 toads.

    Eugh!

    It was then revealed that Jane and Maura would be doing the trial.

    I’m A Celebrity viewers in anticipation

    I’m A Celebrity viewers quickly flooded the comments under the announcement regarding tonight’s trial. “Your votes mean Jane and Maura will need to brave their way through ‘Fright at the End of the Tunnel’ tomorrow night!” the show said.

    Viewers had become tired of seeing the same faces appear repeatedly in the majority of trials. Dean McCullough has faced six trials so far.

    Fans declared “finally” as soon as Maura and Jane were announced for the trial.

    One commented: “Yes yes yes, no Dean! Finally getting to see others doing trial.”

    Another said: “Finally no Dean! Been waiting for this moment!”

    Yes yes yes, no Dean! Finally getting to see others doing trial.

    “About bloody time! Nice to see someone else doing trials… good luck to these two. They’ll be amazing, I’m sure,” wrote a third viewer.

    A fourth one said: “Thank you British public finally different people are doing a trial.”

    Maura recently entered camp as a newbie alongside Richard Coles.

    I’m A Celebrity airs every night at 9pm on ITV1 and ITVX.

    Read more: I’m A Celebrity viewers warn Dean McCullough ‘will be out first’ amid ‘screaming’ trial

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    Are you excited to see Maura and Jane? You can leave us a comment on our Facebook page @EntertainmentDailyFix and let us know.





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    Gate.io Unveils Lamina1’s Token Listing With $20,000 L1 Trading Campaign

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    Gate.io Unveils Lamina1’s Token Listing With ,000 L1 Trading Campaign


    In Brief

    Gate.io has listed Lamina1’s token and launched a 10-day trading carnival, running until December 4th, to celebrate the debut of L1.

    Gate.io Unveils Lamina1's Token Listing With $20,000 L1 Trading Campaign

    Cryptocurrency exchange Gate.io announced that it has listed Lamina1, a project aimed at reshaping the creator economy, on November 24th. Lamina1 was co-founded by acclaimed author Neal Stephenson and blockchain expert Peter Vessenes. It seeks to establish an ecosystem where creators and users can incubate and monetize intellectual property, fostering a sustainable and dynamic creator economy.

    Lamina1 is designed as a creator-focused blockchain platform offering tools for content creation, sharing, and monetization. With support for multimedia formats and interactive fan engagement, it aims to diversify content opportunities and streamline monetization pathways for creators worldwide. The launch of the L1 token on Gate.io presents global investors with a unique opportunity to engage with this forward-thinking platform.

    Gate.io Initiates Trading Carnival To Reward Users And Encourage Participation

    In order to celebrate the L1 token’s debut, Gate.io has introduced a 10-day trading carnival, running until 10:00 UTC+8 on December 4th. This event includes various activities designed to reward users and encourage participation. Users can take part by completing trades, inviting friends to join Gate.io, or accessing bonuses available to new users. The event features a $20,000 prize pool, with rewards distributed through a system that allows participants to earn Trading Balls by completing specific tasks. Every 100 Trading Balls can then be redeemed for one L1 token, offering users a flexible and engaging way to benefit from the carnival.

    Gate.io is recognized as a leading cryptocurrency exchange, offering a broad range of digital assets to its global user base. The platform supports more than 1,400 cryptocurrencies and over 2,500 trading pairs, making it a key player in the digital asset trading sector. According to CoinMarketCap, Gate.io currently boasts a daily trading volume exceeding $5 billion.

    Recently, it has revealed plans to enhance its offerings in the stablecoin asset management space with the introduction of new USDE-focused products, including USDE Staking and USDE Simple Earn. Following closely, the platform will debut another addition to its product suite, USDE Flexible Staking, designed to provide users with a dynamic and high-yield investment option. This expanded product lineup is part of Gate.io’s broader strategy to offer diversified and competitive solutions for stablecoin wealth management. 

    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.

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    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.








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    Meghan Markle Says ‘It’s Easy’ To Make New People Feel Welcomed

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      Meghan Markle Says ‘It’s Easy’ To Make New People Feel Welcomed


      Meghan Markle encouraged Americans to be more welcoming to new people this Thanksgiving.

      The Duchess of Sussex, who hosted a dinner for Afghan women settling in the U.S., revealed in an interview that it is “easy” to treat people with care and respect.

      Meanwhile, Prince Harry and Meghan Markle are reportedly navigating “professional separation,” with the duke focusing on solo efforts like promoting the Invictus Games and launching educational initiatives.

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      Meghan Markle Advocates For Empathy And Welcoming New People This Thanksgiving

      MEGA

      In a recent interview with Marie Claire, Meghan urged Americans to welcome newcomers with open arms this Thanksgiving.

      Earlier this month, the duchess hosted a dinner party in Los Angeles for Afghan women who have resettled in the U.S.

      Regarding the duchess’ kind gesture, she was asked by the interviewer what other Americans can do to help women who found themselves in similar situations to her guests feel more comfortable in the country.

      In Meghan’s response, the former actress emphasized the power of empathy, saying, “It’s really easy. Just think about how you’d want someone to treat you…how would you want someone to open their arms to you?”

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      According to the Daily Mail, the dinner event was held in collaboration with Mina’s List and Archewell’s The Welcome Project, an initiative focused on empowering women through programs like art, photography, cooking, sewing, hiking, and swimming.

      During her event, Meghan shared: “You miss home, you miss your country and also can find comfort in the new community that you have here. I’m grateful that we are able to be a part of that community.”

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      Meghan Markle Previously Discussed Challenges Of  Into Royal Life And Its ‘Formalities’ Behind Closed Doors

      Meghan Markle felt like a 'bimbo' on 'Deal or No Deal'
      MEGA

      Since stepping back from royal duties in 2020, Prince Harry and Meghan have frequently opened up about the duchess’s challenges adapting to life within the Royal Family.

      They have highlighted how the Firm could have done more to support the mother of two during her time as a working royal, noting that being part of the monarchy is “nothing like what it looks like.”

      In their Netflix series, Meghan shared insights into her first encounters with royal traditions and expectations.

      Recalling her initial meeting with Prince William and Kate Middleton, she explained how the monarchy’s formality continued behind closed doors.

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      “Even when Will and Kate came over and I was meeting her for the first time, I remember I was in ripped jeans, I was barefoot,” she recalled, per the Daily Mail. “Like I was a hugger, I have always been a hugger. I didn’t realize that is really jarring for a lot of Brits.”

      Meghan added: “I started to understand that the formality on the outside carried through on the inside, that there is a forward facing way of being and then you close the door and think ‘OK we can relax now’ But that formality carries over on both sides and that was surprising to me.”

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      The Sussexes Are Reportedly Going Through A Period Of ‘Professional Separation’

      Meghan Markle and Prince Harry in Colombia
      MEGA

      Meanwhile, Harry and Meghan are said to be navigating a period of professional separation, with recent reports indicating tension in their working relationship.

      According to the New York Post, sources suggest that their collaboration is “in a very bad state.”

      This comes after the Duke and Duchess of Sussex have been seen pursuing solo engagements in recent months.

      Last week, Harry attended several Invictus Games-related events in Vancouver, Canada, while Meghan appeared alongside her celebrity friends at a beauty launch event.

      The duke also made a solo trip to South Africa for his Sentebale charity, while Meghan focused on her personal projects and taking care of their kids.

      Prince Harry And Meghan Markle Made A Joint Appearance For Veterans Day

      Meghan Markle and Prince Harry in Colombia
      MEGA

      While the Sussexes seemingly focus on their solo endeavors, they recently came together for a special video.

      The couple, donning poppy pins, made a rare joint appearance earlier this month on the same day as Remembrance Day in the UK.

      In the video, Harry acknowledged they had been “at a crossroads” professionally but reaffirmed their shared commitment to prioritizing children’s online safety through their Archewell Foundation.

      “We are at a crossroads,” the prince said. “The urgency to reassess and redefine our approach to protecting children has become increasingly evident. While the necessity has always been apparent, it’s now time to translate that awareness into meaningful action.”

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      Harry and Meghan are expected to attend the 2025 Invictus Games in Canada, scheduled for February 8 to 16. The event will come 18 months after the 2023 games held in Germany.

      Prince Harry Focuses On Solo Projects To Rebuild Image, Says PR Expert

      Prince Harry in Colombia
      MEGA

      According to PR expert and founder of No Strings Public Relations, Riley Gardiner, Harry is using his “professional separation” from Meghan to focus intently on his solo endeavors and rebuild his public image.

      In an interview with the Daily Express, Gardiner shared his insights and praised Harry’s decision to promote the Invictus Games independently, calling it “a smart move” to keep attention on the sporting event.

      “It means the spotlight can stay on the games and away from every little thing Meghan does,” and at the same time, “he’s showing respect for the athletes and the cause without any distractions,” he explained.

      Gardiner further highlighted Harry’s recent efforts, such as the launch of an educational program for schools, which aims to teach children about “heroism and resilience.”

      Article continues below advertisement

      “He’s fostering empathy and understanding from a young age like the charitable work his mum championed,” Gardiner noted.



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      NVIDIA Introduces Fugatto: An AI Tool for Generating Audio from Text Commands – Metaverseplanet.net

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      NVIDIA Introduces Fugatto: An AI Tool for Generating Audio from Text Commands – Metaverseplanet.net


      NVIDIA, a leading name in artificial intelligence and hardware innovation, has unveiled Fugatto (Foundational Generative Audio Transformer Opus 1), a groundbreaking experimental AI model. Described as a “Swiss Army knife for sound”, Fugatto is designed to create audio files from textual commands. The name Fugatto draws inspiration from the musical term fugato, a compositional style involving polyphonic and repetitive melodies, emphasizing its polyphonic nature.

      Polyphonic and Multilingual Capabilities

      NVIDIA Introduces Fugatto: An AI Tool for Generating Audio from Text Commands

      Fugatto is engineered to recognize and replicate sounds with a high degree of complexity, much like the way humans perceive and produce sounds. This AI model stands out for its ability to handle multiple accents and different languages, enabling it to cater to diverse global audiences. Developed by an international team of researchers, Fugatto bridges the gap between AI and natural human sound perception.

      Mimicking Human Sound Understanding

      NVIDIA Introduces Fugatto: An AI Tool for Generating Audio from Text CommandsNVIDIA Introduces Fugatto: An AI Tool for Generating Audio from Text Commands

      Rafael Valle, NVIDIA’s Director of Applied Audio Research, highlighted the purpose behind Fugatto, stating:“We wanted to create a model that understands sounds in the same way that people understand and produce sounds.”

      Fugatto is not limited to replicating sounds—it also opens doors for various real-world applications. Its versatility makes it a valuable tool for:

      Prototyping musical ideas with different styles, instruments, and sounds.

      Assisting language learners by offering voice samples in diverse tones and accents.

      Supporting game developers in creating voice variations for character dialogue.

      Adapting to new, untrained use cases with minor adjustments.

      Potential Applications and Accessibility

      With Fugatto, NVIDIA envisions creative and practical applications that extend beyond conventional uses. For example, users can experiment with song creation or tailor sounds for innovative projects. Moreover, its adaptability means it could be applied to entirely new fields with slight modifications.

      However, NVIDIA has not yet disclosed whether Fugatto will be made publicly available. In the past, companies like Meta and Google have developed similar AI models, but Fugatto’s advanced features may give it a competitive edge.

      NVIDIA’s Fugatto represents a significant step forward in the field of generative AI, offering unparalleled capabilities for audio creation and sound manipulation. Its potential to mimic human understanding of sound, coupled with its multilingual and polyphonic features, positions it as a cutting-edge tool for developers, creators, and researchers. Whether Fugatto will be accessible to the general public remains uncertain, but its introduction reinforces NVIDIA’s role as a pioneer in the ever-evolving world of artificial intelligence.

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      What is Trust Wallet? How to Use It? – Metaverseplanet.net

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      What is Trust Wallet? How to Use It? – Metaverseplanet.net


      Trust Wallet is a non-custodial cryptocurrency wallet designed for users to securely store, send, and receive digital assets.

      This versatile wallet has gained significant popularity due to its ease of use, security, and support for a wide variety of cryptocurrencies. Here, we will explore what Trust Wallet is, how to use it, and its features, advantages, and disadvantages.

      What is Trust Wallet?

      Trust Wallet is a decentralized wallet application that allows users to manage their cryptocurrency holdings. It was acquired by Binance in 2018 and has since become one of the most trusted wallets in the crypto space. Trust Wallet supports a wide range of blockchains and tokens, including Bitcoin, Ethereum, Binance Smart Chain, and NFTs.

      Key Features of Trust Wallet

      Multi-Currency Support: Trust Wallet supports more than 4.5 million tokens and 65 blockchains, making it suitable for diverse portfolios.

      NFT Storage: Users can store and view their non-fungible tokens (NFTs) directly in the wallet.

      Built-in DApp Browser: Trust Wallet allows users to interact with decentralized applications (DApps) and perform DeFi activities like staking and swapping.

      Staking Capabilities: Users can earn rewards by staking popular cryptocurrencies such as BNB, Solana, and Polkadot.

      User-Friendly Interface: Its intuitive design ensures that even beginners can navigate and use the wallet effortlessly.

      High-Level Security: Trust Wallet is a non-custodial wallet, meaning private keys are stored locally on the user’s device, ensuring full control of funds.

      How to Use Trust Wallet?

      Download the App: Trust Wallet is available on iOS and Android devices. Download it from the App Store or Google Play Store.

      Create a Wallet:

      Open the app and select “Create a New Wallet.”

      Back up your 12-word recovery phrase and store it securely.

      Confirm the phrase to finalize wallet creation.

      Add Cryptocurrencies:

      Tap on the “Receive” button to find your wallet address for different coins.

      Copy the address and transfer funds from another wallet or exchange.

      Send or Receive Crypto:

      Use the “Send” or “Receive” buttons to transfer cryptocurrencies seamlessly.

      Explore DApps: Access decentralized applications using the built-in browser.

      Advantages of Trust Wallet

      Free to Use: Trust Wallet does not charge any wallet fees.

      Non-Custodial: Users retain full control over their private keys and funds.

      Wide Asset Support: Its extensive compatibility makes it an all-in-one solution for crypto enthusiasts.

      Staking Rewards: Earn passive income by staking supported tokens.

      NFT-Friendly: Ideal for users who own and trade NFTs.

      Privacy Focused: No personal information or KYC is required to use Trust Wallet.

      Disadvantages of Trust Wallet

      Mobile-Only: Trust Wallet does not have a desktop version, limiting its accessibility.

      DApp Browser Restrictions: Certain features, such as the DApp browser, may be limited depending on regional policies (e.g., iOS restrictions).

      Learning Curve for Beginners: While the interface is user-friendly, new users may find crypto jargon and concepts overwhelming.

      Is Trust Wallet Reliable?

      Trust Wallet is considered safe and secure for managing digital assets. However, its security largely depends on how users manage their private keys and recovery phrases. Always ensure:

      Your device is secure.

      Recovery phrases are stored offline and not shared with anyone.

      You only download the app from official sources.

      Trust Wallet is a reliable and versatile solution for crypto users looking for a secure, user-friendly, and multi-functional wallet. Its support for NFTs, staking, and a broad range of cryptocurrencies makes it an excellent choice for beginners and experienced users alike. However, its mobile-only limitation may be a drawback for those seeking desktop accessibility.

      Trust Wallet offers a robust combination of features and security, making it a top choice in the world of cryptocurrency wallets. Always exercise caution when managing your crypto holdings and follow best practices for wallet security.

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      Synthetix Launches ‘Synthetix Vaults’ Product Line And Announces Plans To Acquire Leveraged Token Protocol TLX

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      Synthetix Launches ‘Synthetix Vaults’ Product Line And Announces Plans To Acquire Leveraged Token Protocol TLX


      In Brief

      Synthetix has introduced a new product line, ‘Synthetix Vaults,’ to complement its decentralized derivatives platform and diversify the protocol’s revenue streams.

      Synthetix Launches ‘Synthetix Vaults’ Product Line And Announces Plans To Acquire Leveraged Token Protocol TLX

      Decentralized finance (DeFi) platform Synthetix has introduced a new product line called ‘Synthetix Vaults’. These vault strategies are designed to complement Synthetix’s core offering—a decentralized derivatives platform—while also diversifying the protocol’s revenue streams. The initiative reflects Synthetix’s commitment to expanding its ecosystem with innovative financial products.

      In the coming months, Synthetix plans to roll out a variety of vaults, starting with leverage token vaults and progressing to yield-generating strategies such as basis trade capture and funding rate arbitrage, alongside other actively managed approaches. This product line aims to enhance the platform’s functionality and attract a broader range of users by providing sustainable and efficient tools for revenue generation.

      Synthetix has also announced plans to acquire TLX, a leveraged token protocol powered by the Synthetix v2x perpetuals platform on Optimism. If approved by both communities, this acquisition would represent the first step in offering a comprehensive suite of vaults, simplifying access to the Synthetix ecosystem. These vaults are positioned as a central element in Synthetix’s future strategy, offering composable, reusable financial products that integrate seamlessly across the broader DeFi landscape.

      Synthetix highlights the growing role of vaults within DeFi, particularly in catering to one side of the market. Most DeFi protocols function as multi-sided platforms—pairing traders with liquidity providers or borrowers with lenders. Vaults provide an intuitive solution for retail participants who prefer a ‘fire-and-forget’ method of interacting with protocols, often mediated by professional managers. Synthetix has long been involved in this space, with over $100 million in SNX staked in its mainnet staking pool and 11 liquidity pools supporting its perpetual exchanges.

      The concept of vaults addresses two critical needs: enabling community members to power the protocol using their own assets and earn risk-adjusted returns. This dual benefit fosters growth and strengthens community engagement. Synthetix vaults are designed to bolster the robustness of its perpetual markets, encouraging network effects and providing users with reliable, sustainable strategies to generate revenue.

      Retail users often come to DeFi protocols with specific objectives, such as gaining price exposure to preferred assets, earning yield on stablecoins, or achieving higher returns by funding liquidations or providing risk backstops for protocols they trust. Vaults simplify these processes by abstracting away the complex mechanics and workflows required to meet these objectives. They offer a straightforward solution—delivering exactly what users seek with minimal friction. Moreover, the composable and transferable nature of vault tokens within Synthetix’s trust-minimized, decentralized system positions these products as potential cornerstones of the DeFi ecosystem.

      Synthetix: What Is It? 

      Synthetix is a DeFi platform offering liquidity for various permissionless derivatives, including perpetual futures, options, and parimutuel markets. It operates across chains compatible with the Ethereum Virtual Machine (EVM), utilizing a network of composable and decentralized smart contracts. 

      The platform features a set of composable and decentralized smart contracts. Users can participate by staking collateral through the Synthetix staking decentralized application (dApp). By doing so, they provide liquidity to the platform and, in return, earn rewards such as weekly inflation incentives and a share of trading fees generated within the 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.








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      NFT Game Axie Infinity Creator Cuts 21% of Staff – Cryptoflies News

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      NFT Game Axie Infinity Creator Cuts 21% of Staff – Cryptoflies News


      5

      Sky Mavis, the Vietnamese company behind the NFT-based game *Axie Infinity* and the Ronin blockchain, has announced a 21% workforce reduction. 

      The decision was revealed on November 23 by Sky Mavis co-founder and CEO Trung Nguyen through a post on X (Twitter). In the statement, Nguyen emphasized the company’s plan to narrow its focus moving forward. 

      “Rather than trying to build products for all users, we are doubling down on what makes Sky Mavis truly exceptional,” the post stated. 

      The company plans to prioritize the Ronin wallet, *Axie Infinity,* a new Axie game, and the expansion of the Ronin Network.

      Nguyen explained that the layoffs are not a response to financial struggles but a strategic choice. “In order to better focus on these products and have the agility needed to open Ronin in Q1, we have made the tough decision to let go of 21% of our workforce,” the post continued. 

      You Might Be Interested In

      He added that this restructuring aims to position Sky Mavis for significant growth in 2025 and beyond.

      Layoffs in the Web3 sector have become increasingly common as companies adapt to regulatory and market challenges.

      Earlier this month, Alibaba reduced the size of its metaverse unit as part of a broader restructuring. The company plans to continue work on specific metaverse applications and tools despite the cuts.

      In April, Yuga Labs, known for the Bored Ape Yacht Club NFT collection, announced layoffs as part of efforts to restructure and adapt to market conditions. Similarly, eBay reevaluated its NFT strategy in February, reportedly including staff reductions at its platform, KnownOrigin.

      Last year, OpenSea, one of the leading NFT marketplaces, reduced its workforce while focusing on “OpenSea 2.0,” an initiative aimed at improving technology and user experience.



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      Global Driving School Software Market Size, Share and Forecast By Key Players- SimplyBook.me,TutorCruncher,SuperSaaS,Teachworks,Bookitlive | Web3Wire

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      Global Driving School Software Market Size, Share and Forecast By Key Players- SimplyBook.me,TutorCruncher,SuperSaaS,Teachworks,Bookitlive | Web3Wire


      Global Driving School Software Market Size, Share and Forecast By Key Players- SimplyBook.me,TutorCruncher,SuperSaaS,Teachworks,Bookitlive | Web3Wire

      𝐔𝐒𝐀, 𝐍𝐞𝐰 𝐉𝐞𝐫𝐬𝐞𝐲- According to the Market Research Intellect, the global Driving School Software market is projected to grow at a robust compound annual growth rate (CAGR) of 11.23% from 2024 to 2031. Starting with a valuation of 11.38 Billion in 2024, the market is expected to reach approximately 21.55 Billion by 2031, driven by factors such as Driving School Software and Driving School Software. This significant growth underscores the expanding demand for Driving School Software across various sectors.

      Due to the growing need for effective management solutions in the educational sector, the driving school software industry is expanding significantly. Market growth is being accelerated by schools’ adoption of digital solutions, which are streamlining scheduling, tracking student progress, and collecting payments. Adoption of curriculum management software by driving schools is also being pushed by increased traffic laws and the emphasis on road safety. Further boosting the industry is the trend toward online and hybrid driving courses as well as the increased recognition of the advantages of software. Driving school operations are becoming more efficient thanks to technological innovations like GPS system integration and smartphone apps. The market’s strong development trajectory is a result of these factors as well as the growing number of driving schools across the globe.

      The dynamics of the driving school software industry are influenced by a number of variables. Driving schools can improve efficiency and resource allocation by reducing manual labor through the growing use of automation in administrative activities. Furthermore, software developers are also providing customized solutions in response to the increased demand for individualized learning experiences. These systems are becoming even more appealing with the addition of sophisticated capabilities like analytics, real-time tracking, and virtual training tools. Government rules that promote improved training programs are also helping the sector by increasing demand for software that guarantees compliance. Mobile accessibility and cloud-based solutions are becoming essential as customer demand for convenience increases, opening up new business prospects for industry participants. These factors guarantee the industry’s continued innovation and expansion.

      𝐑𝐞𝐪𝐮𝐞𝐬𝐭 𝐏𝐃𝐅 𝐒𝐚𝐦𝐩𝐥𝐞 𝐂𝐨𝐩𝐲 𝐨𝐟 𝐑𝐞𝐩𝐨𝐫𝐭: (𝐈𝐧𝐜𝐥𝐮𝐝𝐢𝐧𝐠 𝐅𝐮𝐥𝐥 𝐓𝐎𝐂, 𝐋𝐢𝐬𝐭 𝐨𝐟 𝐓𝐚𝐛𝐥𝐞𝐬 & 𝐅𝐢𝐠𝐮𝐫𝐞𝐬, 𝐂𝐡𝐚𝐫𝐭) @ https://www.marketresearchintellect.com/download-sample/?rid=10453200&utm_source=OpenPr&utm_medium=027

      𝐊𝐞𝐲 𝐃𝐫𝐢𝐯𝐞𝐫𝐬:

      The growth of the Driving School Software market is driven by several key factors. Technological advancements in Driving School Software have enabled greater efficiency and enhanced capabilities, spurring adoption across industries. Additionally, the rising demand for sustainable and eco-friendly solutions is pushing companies to innovate and adopt greener practices. Expanding applications in sectors like Driving School Software and Driving School Software are further contributing to market demand, as these industries seek advanced solutions to streamline operations and enhance product quality. Favorable government policies and incentives in regions such as North America, Europe, and Asia-Pacific support investment and growth. Moreover, an increasing focus on Driving School Software for improving operational efficiency and cost-effectiveness is encouraging businesses to embrace new technologies, fostering sustained market expansion.

      𝐌𝐞𝐫𝐠𝐞𝐫𝐬 𝐚𝐧𝐝 𝐀𝐜𝐪𝐮𝐢𝐬𝐢𝐭𝐢𝐨𝐧𝐬

      Mergers and acquisitions (M&A) play a pivotal role in the Driving School Software market, as companies look to expand their capabilities, access new technologies, and strengthen market presence. Leading players engage in strategic acquisitions to consolidate their position and gain a competitive edge. These transactions often facilitate the integration of advanced Driving School Software solutions, helping firms broaden their product portfolios and meet growing customer demands. Additionally, M&A activities support companies in achieving economies of scale and penetrating new regional markets, particularly in high-growth areas like Asia-Pacific. Through such strategic alliances, businesses aim to accelerate innovation, enhance operational efficiency, and address evolving market challenges, ultimately driving the overall growth of the Driving School Software market.

      𝐆𝐞𝐭 𝐚 𝐃𝐢𝐬𝐜𝐨𝐮𝐧𝐭 𝐎𝐧 𝐓𝐡𝐞 𝐏𝐮𝐫𝐜𝐡𝐚𝐬𝐞 𝐎𝐟 𝐓𝐡𝐢𝐬 𝐑𝐞𝐩𝐨𝐫𝐭 @ https://www.marketresearchintellect.com/ask-for-discount/?rid=10453200&utm_source=OpenPr&utm_medium=027

      𝐓𝐡𝐞 𝐟𝐨𝐥𝐥𝐨𝐰𝐢𝐧𝐠 𝐊𝐞𝐲 𝐒𝐞𝐠𝐦𝐞𝐧𝐭𝐬 𝐀𝐫𝐞 𝐂𝐨𝐯𝐞𝐫𝐞𝐝 𝐢𝐧 𝐎𝐮𝐫 𝐑𝐞𝐩𝐨𝐫𝐭

      𝐁𝐲 𝐓𝐲𝐩𝐞Basic($9.9-19/Month)Standard($19-39.9/Month)Senior($39.9+/Month)

      𝐁𝐲 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧Large Enterprises(1000+ Users)Medium-Sized Enterprise(499-1000 Users)Small Enterprises(1-499 Users)

      𝐌𝐚𝐣𝐨𝐫 𝐜𝐨𝐦𝐩𝐚𝐧𝐢𝐞𝐬 in Driving School Software Market are:SimplyBook.me,TutorCruncher,SuperSaaS,Teachworks,Bookitlive,DanubeNet,Drivers Ed Solutions,Picktime,BookingTimes,Coanics,Drive Scout,Timendo,Zoom Scheduler,Schedule Agent,Core Driving,Sigma Data Solutions

      Global Driving School Software Market -𝐑𝐞𝐠𝐢𝐨𝐧𝐚𝐥 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬

      𝐍𝐨𝐫𝐭𝐡 𝐀𝐦𝐞𝐫𝐢𝐜𝐚:North America is expected to hold a significant share of the Driving School Software market due to advanced technological infrastructure and the presence of major market players. High demand across sectors like Driving School Software and Driving School Software is driving growth, with the U.S. being a key contributor. Additionally, ongoing investments in R&D and innovation reinforce the region’s strong market position.

      𝐄𝐮𝐫𝐨𝐩𝐞:Europe is projected to experience steady growth, driven by stringent regulatory standards and a rising focus on sustainability in Driving School Software practices. Countries like Germany, France, and the UK are leading due to their advanced industrial base and supportive government policies. The demand for eco-friendly and efficient Driving School Software solutions is expected to continue fostering market expansion.

      𝐀𝐬𝐢𝐚-𝐏𝐚𝐜𝐢𝐟𝐢𝐜:Asia-Pacific is anticipated to be the fastest-growing region, fueled by rapid industrialization and urbanization. Countries such as China, India, and Japan are driving demand due to expanding consumer bases and increasing investments in infrastructure. The region’s robust manufacturing sector and favorable economic policies further enhance growth opportunities in the Driving School Software market.

      𝐋𝐚𝐭𝐢𝐧 𝐀𝐦𝐞𝐫𝐢𝐜𝐚:Latin America and the Middle East & Africa are expected to show moderate growth in the Driving School Software market. In Latin America, growth is supported by rising industrial activities in countries like Brazil and Mexico. Meanwhile, in the Middle East & Africa, infrastructure development and an increasing focus on innovation in sectors like Driving School Software are key drivers of market expansion.

      𝐌𝐢𝐝𝐝𝐥𝐞 𝐄𝐚𝐬𝐭 𝐚𝐧𝐝 𝐀𝐟𝐫𝐢𝐜𝐚:The Middle East and Africa represent emerging markets in the global Driving School Software market, with countries like UAE, Saudi Arabia, South Africa, and Nigeria showing promising growth potential. Economic diversification efforts, urbanization, and a young population are driving demand for Driving School Software products and services in the region.

      𝐅𝐫𝐞𝐪𝐮𝐞𝐧𝐭𝐥𝐲 𝐀𝐬𝐤𝐞𝐝 𝐐𝐮𝐞𝐬𝐭𝐢𝐨𝐧𝐬 (𝐅𝐀𝐐)

      1. What is the current size of the Driving School Software market?

      Answer: The Driving School Software market was valued at approximately 11.38 Billion in 2024, with projections suggesting it will reach 21.55 Billion by 2031, growing at a CAGR of 11.23%.

      2. What factors are driving the growth of the Driving School Software market?

      Answer: The market’s expansion is attributed to several factors, including increased demand for Driving School Software, advancements in Driving School Software technology, and the adoption of Driving School Software across various sectors.

      3. Which regions are expected to dominate the Driving School Software market?

      Answer: Regions such as North America, Europe, and Asia-Pacific are anticipated to lead due to the presence of major industry players and growing investments in Driving School Software.

      4. Who are the key players in the Driving School Software market?

      Answer: Prominent companies in the Driving School Software market include Driving School Software, Driving School Software, and Driving School Software, each contributing to market growth through innovations and strategic partnerships.

      5. What challenges does the Driving School Software market face?

      Answer: The market faces challenges such as Driving School Software, regulatory compliance, and competition from alternative solutions. However, ongoing advancements aim to address these issues.

      6. What are the future trends in the Driving School Software market?

      Emerging trends include the integration of Driving School Software technology, sustainability practices, and digital transformation in processes, all expected to shape the market’s future.

      7. How can businesses benefit from the Driving School Software market?

      Answer: Businesses can leverage growth opportunities in the Driving School Software market by adopting new solutions, enhancing operational efficiency, and expanding their offerings to meet evolving consumer demands.

      8. Why invest in a Driving School Software market report from MRI?

      Answer: MRI’s report provides in-depth analysis, future projections, and key insights to support strategic decision-making, enabling businesses to stay competitive and capitalize on growth trends in the Driving School Software market.

      𝐅𝐨𝐫 𝐌𝐨𝐫𝐞 𝐈𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧 𝐨𝐫 𝐐𝐮𝐞𝐫𝐲, 𝐕𝐢𝐬𝐢𝐭 @ https://www.marketresearchintellect.com/product/driving-school-software-market/?utm_source=OpenPr&utm_medium=027

      𝐌𝐨𝐫𝐞 𝐀𝐫𝐭𝐢𝐜𝐥𝐞𝐬 𝐅𝐫𝐨𝐦 𝐌𝐚𝐫𝐤𝐞𝐭 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐈𝐧𝐭𝐞𝐥𝐥𝐞𝐜𝐭

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      South Korea Delta-Valerolactone Market Size, Share & Forecast 2031 https://www.linkedin.com/pulse/south-korea-delta-valerolactone-market-size-share-forecast-e5ice/

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      Fine-Tuning Llama 3.2 11B for Extractive Question Answering

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      Fine-Tuning Llama 3.2 11B for Extractive Question Answering


      Large Language Models (LLMs) are powerful tools that can perform a wide range of natural language processing tasks. However, due to their generic and broadly focused training, they may not always perform optimally on specific tasks. Fine-tuning is a technique that allows us to adapt a pre-trained LLM to a specific task, such as extractive question answering, without altering the original weights. In this article, we will explore how to fine-tune Llama 3.2 11B using the Q-LoRA technique and demonstrate its performance boost on the SQuAD v2 dataset.

      What is LoRA?

      LoRA (Low-Rank Adaption) is a technique used to add new weights to an existing model to modify its behavior without changing the original weights. It involves adding new “adapter” weights that modify the output of certain layers, which are modified during the training process while the original weights remain the same. By freezing the original weights, LoRA ensures that the model retains its pre-trained knowledge while adding new, task-specific capabilities through the adapter weights.

      Defining the Experiment

      We will fine-tune Llama 3.2 11B for extractive question answering using the SQuAD v2 dataset in this experiment. The goal is to train the model to extract specific portions of text that directly answer a user’s question without summarizing or rephrasing.

      System Environment

      This experiment was run on a Google Colab platform with an A100 GPU. The code is written in Python and utilizes the Hugging Face Transformers library.

      Installing Packages

      !pip install -U transformers peft bitsandbytes datasets trl evaluate bert_score

      Loading Data

      We will use the SQuAD v2 dataset for training and evaluation.

      from datasets import load_dataset

      ds = load_dataset(“squad_v2”)
      print(ds)

      Output:

      DatasetDict({
      train: Dataset({
      features: [‘id’, ‘title’, ‘context’, ‘question’, ‘answers’],
      num_rows: 130319
      })
      validation: Dataset({
      features: [‘id’, ‘title’, ‘context’, ‘question’, ‘answers’],
      num_rows: 11873
      })
      })

      Data Preparation

      We will split the dataset into training, validation, and test sets and convert the samples into a format suitable for Llama.

      num_training_samples = 15000
      num_test_samples = 750
      num_validation_samples = 1000

      training_samples = ds[‘train’].select([i for i in range(num_training_samples)])
      test_samples = ds[‘train’].select([i for i in range(num_training_samples, num_training_samples+num_test_samples)])
      validation_samples = ds[‘validation’].select([i for i in range(num_validation_samples)])

      def convert_squad_sample_to_llama_conversation(sample):

      return {“text”: sample_conversation, “messages”: messages, “answer”: answer}

      conversation_training_samples = training_samples.map(convert_squad_sample_to_llama_conversation)
      conversation_test_samples = test_samples.map(convert_squad_sample_to_llama_conversation)
      conversation_validation_samples = validation_samples.map(convert_squad_sample_to_llama_conversation)

      Model Preparation

      We will load the Llama 3.2 11B model with 4-bit quantization and set up the LoRA config.

      from transformers import AutoTokenizer, AutoModelForCausalLM, BitsAndBytesConfig

      model_name = “meta-llama/Llama-3.2-11B-Vision-Instruct”
      tokenizer = AutoTokenizer.from_pretrained(model_name)
      tokenizer.padding_side = “left”
      tokenizer.pad_token = tokenizer.eos_token

      bnb_config = BitsAndBytesConfig(
      load_in_4bit=True,
      bnb_4bit_quant_type=‘nf4’,
      bnb_4bit_compute_dtype=torch.float16,
      bnb_4bit_use_double_quant=True
      )
      model = AutoModelForCausalLM.from_pretrained(
      model_name,
      quantization_config = bnb_config,
      device_map=“auto”
      )
      model.config.pad_token_id = tokenizer.pad_token_id
      model.config.use_cache = False

      from peft import LoraConfig
      rank = 128
      alpha = rank*2
      peft_config = LoraConfig(
      r=rank,
      lora_alpha=alpha,
      lora_dropout=0.05,
      bias=“none”,
      task_type=“CAUSAL_LM”,
      target_modules=[‘k_proj’, ‘q_proj’, ‘v_proj’, ‘o_proj’, ‘gate_proj’, ‘down_proj’, ‘up_proj’]
      )

      Training

      We will use the SFTTrainer from the trl library to train the model.

      from transformers import TrainingArguments
      from trl import SFTTrainer

      training_arguments = TrainingArguments(
      output_dir=model_checkpoint_path,
      optim=‘paged_adamw_32bit’,
      per_device_train_batch_size=8,
      gradient_accumulation_steps=4,
      log_level=‘debug’,
      evaluation_strategy = “steps”,
      save_strategy=‘steps’,
      logging_steps=8,
      eval_steps=8,
      save_steps=8,
      learning_rate=1e-4,
      fp16=True,
      num_train_epochs=4,
      max_steps=120,
      warmup_ratio=0.1,
      load_best_model_at_end = True,
      overwrite_output_dir = True,
      lr_scheduler_type=‘linear’,
      )

      trainer = SFTTrainer(
      model=model,
      train_dataset=conversation_training_samples,
      eval_dataset=conversation_test_samples,
      peft_config=peft_config,
      dataset_text_field=‘text’,
      max_seq_length=1024,
      tokenizer=tokenizer,
      args=training_arguments
      )

      Evaluation

      We will evaluate the model using the bert-score and exact-match metrics.

      from evaluate import load

      bert_model = “microsoft/deberta-v2-xxlarge-mnli”
      bertscore = load(“bertscore”)
      exact_match_metric = load(“exact_match”)

      def get_bulk_predictions(pipe, samples):

      def get_base_and_tuned_bulk_predictions(samples):

      conversation_validation_samples = conversation_validation_samples.map(get_base_and_tuned_bulk_predictions, batched=True, batch_size=20)

      base_predictions = conversation_validation_samples[‘base_prediction’]
      answers = conversation_validation_samples[‘answer’]
      base_validation_bert_score = bertscore.compute(predictions=base_predictions, references=answers, lang=“en”, model_type=bert_model, device=“cuda:0”)
      baseline_exact_match_score = exact_match_metric.compute(predictions=base_predictions, references=answers)

      trained_predictions = conversation_validation_samples[‘trained_prediction’]
      answers = conversation_validation_samples[‘answer’]
      trained_validation_bert_score = bertscore.compute(predictions=trained_predictions, references=answers, lang=“en”, model_type=bert_model, device=“cuda:0”)
      tuned_exact_match_score = exact_match_metric.compute(predictions=trained_predictions, references=answers)

      Results

      The training process took around 1 hour on an A100 GPU. The results show a significant improvement in the model’s performance on the validation set.

      MetricBase ModelTuned Model

      BERT Score0.64690.7505

      Exact Match0.1160.418

      Conclusion

      This article demonstrated how to fine-tune Llama 3.2 11B for extractive question answering using the Q-LoRA technique. The results show a significant improvement in the model’s performance on the validation set, with an increase in the BERT and exact match scores. This technique can be applied to other tasks and models, and we hope that this article serves as a comprehensive guide for future research and applications.



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