Meta Wizards by Enchanted Labs is the Next Big Thing in Metaverse NFT

zycryptoPublished on 2022-03-10Last updated on 2022-04-07

Abstract

NFTs or Non-Fungible Tokens have created quite a buzz in the last few years.

NFTs or Non-Fungible Tokens have created quite a buzz in the last few years. The fact that these unique trading cards cannot be exchanged for something similar makes them the game-changer in blockchain technology. NFTs have given a world of opportunities to creators and artists globally to monetize their skills to the next level. This has led to the introduction of a range of NFT projects that are trending on Ethereum. Meta Wizards, by Enchanted Labs, is an NFT gaming platform that was displayed at ETH Denver via Trippy Labs, a reputed digital art curation platform.

With the rising popularity of NFTs, many fraud and foul plays have become a common issue in this space. Enchanted Labs is a team of top-tier artists, entrepreneurs, blockchain enthusiasts, video game developers, and marketing experts who have all come together to create everlasting magic in the Web3 and video game development space. As an NFT project, Meta Wizards has its prime focus on transparency to ensure safe transactions for all the members of the community. As all transactions are open on the blockchain, chances of scam and fraud payments are slim.

Another feature that has helped Meta Wizards stand out from the other Metaverse projects in the NFT space is its top-notch artistic creativity. Leveraging the talent of such renowned artists, Meta Wizards has been consistently fine-tuning the output of its gaming characters to ensure artists’ integrity and value as an exciting play-to-earn NFT gaming platform that is home to a set of 3D wizards. Each of these wizards possesses unique characteristics that make the game a fun experience. A user who buys a wizard gets access to functional in-game characters.

A wizard can race or battle against other wizards to earn winning points in terms of $MAGIC coins, the digital currency of the platform. $MAGIC has real-world monetary value that can be swapped for Ethereum or can be used to upgrade any existing wizard for a higher probability of winning.

The NFT game gets more intriguing as it allows open betting as one wizard races against 8 others within the Secret Cove. The bettor for the wizard that acquires the first place gets cash rewards. The wizards that became second and third winners will also receive $MAGIC coins. These features offer more opportunities to win exclusive rewards and also cash from this game which is unlikely in any other NFT metaverse project on the platform. Meta Wizards is also planning to introduce Racing tournaments, season pass releases, and gameplay streaming in the coming years.

Related Reads

After Marvell's 32% Surge, the Chinese Chip Family Behind It Emerges

The stock price of Marvell Technology surged 32.5% on June 2nd, driven by NVIDIA CEO Jensen Huang highlighting its custom ASICs and optical interconnects as core to AI data center architecture. This event brought attention to the Chinese semiconductor family behind Marvell: the Dai siblings. The story centers on three siblings, all UC Berkeley graduates, whose three-decade entrepreneurial journey aligns with major semiconductor industry shifts. In 1995, youngest sister Dai Wei Li co-founded Marvell with her husband Sehat Sutardja and his brother, focusing on storage controllers. Eldest brother Dai Wei Min founded EDA company Ultima, later sold to Cadence, and later founded VeriSilicon (芯原) in China, becoming a leading semiconductor IP provider. Second brother Dai Wei Jin co-founded EDA firm Silicon Perspective (sold to Cadence) and GPU IP company Vivante, later acquired by VeriSilicon. The combined "Dai-Sutardja" family network extends beyond Marvell. Their ventures and investments form a comprehensive ecosystem for the post-Moore's Law, chiplet era. Key holdings include: Dream Big Semiconductor (AI SuperNICs, acquired by Arm), Alphawave (high-speed SerDes IP, acquired by Qualcomm), and Silicon Box (a chiplet advanced packaging foundry). VeriSilicon itself thrives on the AI ASIC and IP boom in China. Collectively, the family's AI infrastructure-related portfolio is estimated at over $22 billion. Their strategy represents a distinct path: building critical components for open standards and key manufacturing capacity in the chiplet era, rather than pursuing standalone AI chip dominance. While this path may not create the next NVIDIA, it has enabled repeated successful exits and sustained influence within the global semiconductor industry.

marsbit23m ago

After Marvell's 32% Surge, the Chinese Chip Family Behind It Emerges

marsbit23m ago

Microsoft is Afraid of Being Marginalized by AI Giants

Microsoft, once the defining force of the PC era, now faces a familiar challenge in the AI age: the risk of being relegated to a profitable but invisible infrastructure provider. This anxiety was laid bare at Build 2026, where CEO Satya Nadella unveiled a major strategic pivot. The catalyst was a quiet April agreement that dissolved Microsoft's exclusive licensing and cloud-hosting deal with OpenAI, its once-vital partner. This erased Microsoft's key AI moat. With OpenAI and Anthropic defining AI applications and gaining enterprise traction—even within Microsoft's own ranks—Nadella had to answer: without exclusivity, what is Microsoft's role? The answer was a suite of seven in-house AI models, a developer-focused AI workstation (Surface RTX Spark Dev Box), and, most crucially, the Agent 365 platform for enterprise AI governance. The models, notably targeting Anthropic's strengths in coding and enterprise, signal a defensive move. However, the broader strategy is to make the models themselves less decisive. Financially, Microsoft's AI revenue is strong, driven largely by Azure running others' models. Yet its user-facing products like Copilot show weak penetration and engagement. Microsoft earns infrastructure money but lacks direct user mindshare. Nadella's core fear is being "hollowed out." As OpenAI and Anthropic prepare for IPOs and gain financial independence, they may build their own infrastructure, threatening Azure's lucrative AI revenue stream. Microsoft's window is to entrench itself deeper: not as the model creator, but as the indispensable platform for securely deploying, managing, and governing all AI models within the enterprise through Agent 365. Build 2026 revealed Microsoft's bet: in the AI era, the ultimate power lies not in any single model, but in the enterprise "operating system" that controls them. Nadella is determined to ensure Microsoft is the driver of this new era, not just a passenger.

marsbit36m ago

Microsoft is Afraid of Being Marginalized by AI Giants

marsbit36m ago

CPU, Quietly Returning to the Center of the AI Computing Power Stage

Over the past three years, AI computing power narratives have been dominated by GPUs. However, starting in 2026, this story began to shift. While training large models remains GPU-intensive, the rapid growth of inference and AI agent workloads, which require high levels of task orchestration, concurrency, and data flow management, has highlighted a renewed critical role for CPUs. These are tasks GPUs are not designed to handle. Intel's recent launch of the Xeon 6+ processor, built on its Intel 18A process and featuring up to 288 efficiency cores (E-cores), exemplifies this strategic pivot. It is positioned not as a mere companion to GPUs but as the essential "control plane" for AI infrastructure, optimized for high-density, energy-efficient, and high-throughput workloads characteristic of AI agents and inference. This "CPU resurgence" is not about CPUs outperforming GPUs in raw computation. It reflects a systemic bottleneck: as AI scales from training single models to deploying countless intelligent agents, the demand for coordination and data handling surges. Major cloud providers are also developing their own high-density ARM-based server CPUs for similar workloads. However, Intel's success with this strategy faces significant challenges. Competition includes NVIDIA's integrated CPU-GPU solutions, the expanding adoption of cloud vendors' in-house ARM CPUs, and the crucial market test of Intel's 18A manufacturing process against rivals like TSMC's N2. In conclusion, CPUs are indeed reclaiming a central, though redefined, role in AI compute—managing the complex orchestration that enables massive-scale AI deployment. While the trend is clear, which company will ultimately lead this CPU resurgence remains an open question to be decided in the data centers of 2027 and beyond.

marsbit57m ago

CPU, Quietly Returning to the Center of the AI Computing Power Stage

marsbit57m ago

Trading

Spot
Futures

Hot Articles

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of ETH (ETH) are presented below.

活动图片