Early Forecasts Suggest Lunex (LNEX) Is Poised to Easily Overtake Cardano (ADA) And Shiba Inu (SHIB) in Market Cap—Here’s Why

bitcoinist2024-09-29 tarihinde yayınlandı2024-09-29 tarihinde güncellendi

Özet

Cardano (ADA) and Shiba Inu (SHIB) were two of the most popular cryptos earlier this year, but their recent losses...

Cardano (ADA) and Shiba Inu (SHIB) were two of the most popular cryptos earlier this year, but their recent losses have pushed them out of the crypto Top 10 list. As Cardano and Shiba Inu continue to lose momentum, savvy traders are quickly turning to Lunex’s viral presale, which has already attracted a huge influx of investors. With analysts already projecting massive 1800% gains for Lunex Network, it is poised to become the leading decentralized exchange in 2025.

Cardano’s (ADA) Developmental Delays Push Investors to Newer DeFi Gems

Cardano may have been considered one of the most prominent blockchain developments of its time, but its growth has only experienced bigger challenges in the last few months. Cardano’s price declined by nearly 10% in the last 30 days, with traders now switching to better opportunities as Cardano struggles with developmental and usage delays. Cardano is currently trading at $0.3544 after a minor intra-day increase of 0.38%. 

Although Cardano recently underwent the Chang Hard Fork upgrade, these increased governance functionalities were not enough to impress Cardano investors. Cardano’s current market sentiment is still bearish while the Fear & Greed Index is at 49. With Cardano’s 24-hour volume up by 41.31%, investors appear to be selling. 

Shiba Inu’s (SHIB) Burn Rate Surges by Nearly 6000%

Shiba Inu is trying to regain investor confidence by lowering the token’s circulating supply and increasing token scarcity. In the last 24 hours, nearly 1.729 million Shiba Inu tokens have been transferred to a burn wallet, marking a massive 5,975% increase in burn rate. Shiba Inu is currently trading at $0.00001455 after a 0.19% intra-day decline. 

Despite the massive token burn, Shiba Inu remains bearish as the token is trading below its key SMAs on the SHIB/USDT daily chart. Since Shiba Inu’s 24-hour volume is also down by 6.38%, investors appear to be losing interest in the dog-based meme coin. If buying pressure doesn’t pick up soon, Shiba Inu could plunge to the $0.00000825 support in upcoming weeks, sending Shiba Inu’s market cap even deeper into bearish territory.

Lunex Network (LNEX) Revolutionizes Decentralized Exchanges with Disruptive DeFi Ecosystem

Lunex Network (LNEX) is a new Web3-based multi-chain network that tackles key issues in the blockchain space. With Lunex Network’s new multi-chain protocol, investors can seamlessly integrate major blockchains like Bitcoin, Ethereum, and Solana whilst enjoying fast and low-cost transactions. 

Analysts are bullish about this new DeFi exchange because of the platform’s native LNEX token. Aside from being used for transaction and merchant fees, LNEX also offers long-term utility on its own through Lunex’s revenue-sharing mechanism. Investors can stake the LNEX token to receive staking rewards with up to 18% APY, giving them a stable and credible source of passive income.

This is without mentioning a whole host of products within their ecosystem, such as the Lunex Wallet, Portfolio Tracker, Crypto to Fiat Debit Cards and B2B Merchant Services. Which could unlock a whole new wave of adoption from real world business into the crypto space. 

Lunex is currently in its first presale stage, with LNEX tokens selling for $0.0012 each. Given Lunex’s revolutionary features, analysts are already tipping at 1700% gains for LNEX during the presale, alongside another 100x rally on launch day. As Lunex gains traction in the DeFi space and outshines established tokens like Cardano and Shiba Inu, early investors are expected to reap massive returns. 

You can find more information about Lunex (LNEX) Network here:
Website: https://lunexnetwork.com
Socials: https://linktr.ee/lunexnetwork

Bitcoinist

Bitcoinist

Bitcoinist is the ultimate news and review site for the crypto currency community!

Trend Kriptolar

İlgili Okumalar

You Use Claude and Codex Every Day, but Meta Has Restricted Internal Use

In May, Meta imposed internal restrictions on its engineers regarding the use of Claude Code and Codex, two widely used AI programming tools. Despite being a major client, Meta's guidelines, still in effect, prohibit these external models from being used for specific tasks to prevent potential "escalations with partners." The core concern is "distillation"—the risk that outputs from Claude or Codex could inadvertently contaminate the training data and evaluation processes for Meta's in-house AI coding assistant, MetaCode. If MetaCode is trained or evaluated using data generated by these external models, it risks learning their capabilities rather than developing its own, blurring the line of intellectual origin. The restrictions are precise: engineers cannot use the external models to generate test questions, debug source code, or suggest test cases. AI-generated content is also barred from environments accessible to MetaCode. However, AI can still assist with peripheral tasks like workflow setup and code organization, provided all outputs are manually reviewed. This caution reflects a broader industry dilemma. While distillation is a common technique, using a competitor's model output for training raises legal and ethical questions about the ownership of derived capabilities. Contractual terms from companies like OpenAI and Anthropic explicitly forbid using their outputs to build competing products, putting enforcement power in the hands of rivals. The move is also financially motivated, as Meta seeks to reduce its hefty internal AI spending, estimated in the billions this year. Meta's policy illustrates the delicate balance companies must strike: leveraging powerful external AI tools while safeguarding the integrity and independence of their own AI development. As AI systems increasingly help build other AIs, distinguishing the origin of capabilities becomes a fundamental challenge for the entire industry.

marsbit55 dk önce

You Use Claude and Codex Every Day, but Meta Has Restricted Internal Use

marsbit55 dk önce

Why Do We Need an AI Content Perspective Today?

The article "Why Do We Need an AI Content Perspective Today?" explores the complex and often contentious integration of AI into the cultural and creative industries, particularly film and television. It begins with the cancellation of Amazon's AI-generated animation "Punky Duck," highlighting the ethical debates surrounding AI content. AI's rapid advancement is transforming video production, enabling cost-effective, full-length AI films (e.g., "RAPHAEL," "Dreams of Violets") while sparking industry resistance over issues like "synthetic actors." The core debate has shifted from whether to use AI to how to use it responsibly. The article analyzes why AI's entry into film is uniquely unsettling. It distinguishes between "cultural fast food" (short-form, fast-paced content like micro-dramas) and "cultural main courses" (traditional, long-form film/TV). AI currently excels at the former, matching its fragmented narratives, shallow emotional needs, and free-to-consumer models. However, venturing into the latter challenges the human-centric essence of storytelling—creativity, emotional depth, and the unique value of human labor and experience. While AI can generate massive volumes of content and lower costs, it risks devaluing human creativity, leading to homogenized output, and creating unfair competition through potential intellectual property infringement. Its efficiency also amplifies content safety risks, making preemptive governance crucial. To counter these risks, the article proposes establishing clear boundaries guided by a human-centered AI content perspective. It outlines four principles: 1) Amplify, rather than displace, human creative space; 2) Respect and protect human creative output; 3) Ensure human creative control and responsibility remain paramount; and 4) Guarantee transparency and traceability in AI creation. The conclusion emphasizes that humans must act as the "helmsmen" of technology, steering AI development to enhance, not replace, the core human values at the heart of cultural expression.

marsbit1 saat önce

Why Do We Need an AI Content Perspective Today?

marsbit1 saat önce

Planck Retracted? The Father of Quantum Tripped by an Algorithm

The recent discovery that two articles (published in 1940 and 1942) by Max Planck, the Nobel laureate and founder of quantum theory, are marked as "retracted" on Springer's digital platform highlights a curious clash between historical publishing practices and modern automated systems. An investigation suggests these retractions are algorithmic errors, not due to fraud or misconduct. The papers, philosophical reflections on science published in *Die Naturwissenschaften*, were likely flagged by the platform's systems. One article, a republished lecture, may have been mistaken for duplicate publication. Another, sharing a title with a prior article by a different author (a common practice for continuing debates at the time), may have triggered a similar automated check. The digital versions have even been replaced with blank pages, contrary to normal practice of preserving retracted texts. This incident underscores how contemporary digital infrastructure, built around concepts like "self-plagiarism" and strict copyright, can misclassify and obscure legitimate historical scholarly communication. It serves as a warning that digital archives are not neutral mirrors of the past but are filtered by platform rules, potentially distorting the scientific record. As AI systems increasingly rely on such databases, such erroneous metadata could propagate, affecting how future tools interpret and access historical knowledge.

marsbit1 saat önce

Planck Retracted? The Father of Quantum Tripped by an Algorithm

marsbit1 saat önce

İşlemler

Spot

Popüler Makaleler

SHIB Nasıl Satın Alınır

HTX.com’a hoş geldiniz! SHIBA INU (SHIB) satın alma işlemlerini basit ve kullanışlı bir hâle getirdik. Adım adım açıkladığımız rehberimizi takip ederek kripto yolculuğunuza başlayın. 1. Adım: HTX Hesabınızı OluşturunHTX'te ücretsiz bir hesap açmak için e-posta adresinizi veya telefon numaranızı kullanın. Sorunsuzca kaydolun ve tüm özelliklerin kilidini açın. Hesabımı Aç2. Adım: Kripto Satın Al Bölümüne Gidin ve Ödeme Yönteminizi SeçinKredi/Banka Kartı: Visa veya Mastercard'ınızı kullanarak anında SHIBA INU (SHIB) satın alın.Bakiye: Sorunsuz bir şekilde işlem yapmak için HTX hesap bakiyenizdeki fonları kullanın.Üçüncü Taraflar: Kullanımı kolaylaştırmak için Google Pay ve Apple Pay gibi popüler ödeme yöntemlerini ekledik.P2P: HTX'teki diğer kullanıcılarla doğrudan işlem yapın.Borsa Dışı (OTC): Yatırımcılar için kişiye özel hizmetler ve rekabetçi döviz kurları sunuyoruz.3. Adım: SHIBA INU (SHIB) Varlıklarınızı SaklayınSHIBA INU (SHIB) satın aldıktan sonra HTX hesabınızda saklayın. Alternatif olarak, blok zinciri transferi yoluyla başka bir yere gönderebilir veya diğer kripto para birimlerini takas etmek için kullanabilirsiniz.4. Adım: SHIBA INU (SHIB) Varlıklarınızla İşlem YapınHTX'in spot piyasasında SHIBA INU (SHIB) ile kolayca işlemler yapın.Hesabınıza erişin, işlem çiftinizi seçin, işlemlerinizi gerçekleştirin ve gerçek zamanlı olarak izleyin. Hem yeni başlayanlar hem de deneyimli yatırımcılar için kullanıcı dostu bir deneyim sunuyoruz.

499 Toplam GörüntülenmeYayınlanma 2024.12.11Güncellenme 2026.06.02

SHIB Nasıl Satın Alınır

Tartışmalar

HTX Topluluğuna hoş geldiniz. Burada, en son platform gelişmeleri hakkında bilgi sahibi olabilir ve profesyonel piyasa görüşlerine erişebilirsiniz. Kullanıcıların SHIB (SHIB) fiyatı hakkındaki görüşleri aşağıda sunulmaktadır.

活动图片