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Amidst the continuing decline in cryptocurrency markets, where stalwarts like Bitcoin and Ethereum face downward pressure, emerges a compelling narrative of resilience and dynamism embodied by Furrever Token (FURR). With a whimsical approach and an irresistible charm, FURR has captivated investors' hearts, amassing over $800,000 in funds within its presale stage alone. Remarkably, in just a month's time, FURR is on the cusp of completing its 6th stage, showcasing an unprecedented surge in momentum. As traditional heavyweights falter, Furrever Token stands tall, embodying the spirit of innovation and community-driven success in the cryptocurrency realm. Bitcoin Plummets as Spot ETFs React: BTC Dipped 10% Since Last Week Bitcoin's current price hovers around $64,569, marking a significant 10% decline since last week.  This trajectory, though not surprising, left many wondering about the underlying cause. The emergence of Spot Bitcoin ETFs post-Friday's close began pricing in the BTC price drop, while investors in crypto exchanges had already factored in heightened tensions due to Iran's attack. Despite dipping to $60,600 over the weekend, Spot Bitcoin ETF investors could only anxiously wait during the trading halt. However, with Blackrock ETFs alone accumulating nearly $600 million in trade volume within 1.5 hours, the recent decline in price coupled with increased volume suggests investors might be gearing up for sales. The extent of this exodus remains to be seen, but if ETF investors continue to perceive current prices as unattractive, the spot BTC price on exchanges may further dwindle. Within hours, Bitcoin's price plummeted from $66,800 to $64,200, with altcoins also witnessing a partial erosion of gains as ETFs sustained around a 3.5% loss. Ethereum's Rollercoaster: Up by 3%, Still Not Enough Ethereum has recently faced a significant downturn in its price, with bulls faltering around the $2,852 mark. This decline, resulting in a more than 10% drop, was swiftly followed by a rapid return above $3,000, currently facing numerous hurdles around $3,200. What levels should be monitored for Ethereum's price after this stage? Ethereum finds itself amidst a recovery wave stemming from the $2,550 support area. However, trading below $3,250 and the 100-hour Simple Moving Average, challenges persist. On the 4-hour ETH/USD chart, an ascending channel forms with resistance at $3,200. Nevertheless, if the pair holds above the $3,000 support zone, momentum may pick up. The recent decline was initiated by a major drop starting at the $3,550 resistance. With over 10% retracement, ETH dipped below $3,000, touching lows near $2,852 before undergoing a recovery akin to Bitcoin. Currently, it trades below $3,250 and the 100-hour SMA, forming an ascending channel with resistance at $3,200. The first significant resistance lies near $3,250, followed by $3,300, and a breakthrough could lead to testing $3,360. The critical barrier might be at $3,500, potentially igniting upward momentum toward $3,620. Failure to surpass $3,250 could instigate a new downtrend, with initial support around $3,080 and significant support below $3,000. Monitoring the $3,000 level is crucial for investors, as a breach could signal a broader downtrend, while surpassing $3,250 could bolster bullish control. Furrever Token (FURR): A Pawsitively Successful Presale Attracts a Huge Wave of Investors In a cryptocurrency landscape often characterized by seriousness and complexity, Furrever Token (FURR) emerges as a refreshing and delightful outlier. With its enchanting blend of cuteness and innovation, FURR has captivated the imagination of investors worldwide, amassing nearly $800,000 in just one month during its successful presale phase. The project's unique proposition goes beyond the traditional utility of cryptocurrencies, offering users an immersive experience centered around the universal appeal of adorable kitties. This charming approach has resonated deeply with investors seeking not only financial gains but also a sense of joy and community within the crypto space. FURR's success can be attributed to its commitment to creating a vibrant and engaging ecosystem. The platform, adorned with cute cat-themed stickers, emojis, and visuals, provides users with a user-friendly interface designed to enhance their experience. Moreover, FURR fosters a warm and friendly community where members share a common love for the lighter side of crypto. Regular challenges, launches, and growth initiatives encourage active participation, further solidifying the project's position as a community-driven endeavor. Furthermore, FURR offers investors the opportunity for up to 15X returns during the presale phase, with its current price standing at $0.00048. This enticing offer, combined with FURR's innovative approach and robust community engagement, positions the token as a promising investment opportunity in the dynamic cryptocurrency market. Additionally, FURR maintains a clear line of communication with its community through its official support channel at support@furrevertoken.com. Any correspondence from other email addresses should be disregarded to prevent potential scams or fraudulent activities. By prioritizing transparency, security, and innovation, FURR has carved a unique niche for itself and continues to shine brightly in the crypto landscape. Is Furrever Token (FURR) Legit? Despite its playful demeanor, FURR prioritizes security and compliance. The smart contract has undergone thorough audits to ensure the integrity and safety of transactions within the ecosystem. Additionally, the team's decision to lock their tokens for a year demonstrates their long-term commitment to the project and its community. This dedication to transparency and security instills confidence in investors and underscores FURR's legitimacy as a viable investment opportunity.Secure the Most Exclusive Presale Opportunity of 2024 Today!Furrever Token Official Website  |   Visit Furrever Token Presale Join Official Telegram Group       |   Follow Official X Account This story was distributed as a release by ZEX MEDIA under HackerNoon’s Brand As An Author Program. Learn more about the program here. Amidst the continuing decline in cryptocurrency markets, where stalwarts like Bitcoin and Ethereum face downward pressure, emerges a compelling narrative of resilience and dynamism embodied by Furrever Token (FURR) . With a whimsical approach and an irresistible charm, FURR has captivated investors' hearts, amassing over $800,000 in funds within its presale stage alone. Remarkably, in just a month's time, FURR is on the cusp of completing its 6th stage, showcasing an unprecedented surge in momentum. As traditional heavyweights falter, Furrever Token stands tall, embodying the spirit of innovation and community-driven success in the cryptocurrency realm. Furrever Token (FURR) Furrever Token (FURR) Bitcoin Plummets as Spot ETFs React: BTC Dipped 10% Since Last Week Bitcoin's current price hovers around $64,569, marking a significant 10% decline since last week.  This trajectory, though not surprising, left many wondering about the underlying cause. The emergence of Spot Bitcoin ETFs post-Friday's close began pricing in the BTC price drop, while investors in crypto exchanges had already factored in heightened tensions due to Iran's attack. Despite dipping to $60,600 over the weekend, Spot Bitcoin ETF investors could only anxiously wait during the trading halt. However, with Blackrock ETFs alone accumulating nearly $600 million in trade volume within 1.5 hours, the recent decline in price coupled with increased volume suggests investors might be gearing up for sales. The extent of this exodus remains to be seen, but if ETF investors continue to perceive current prices as unattractive, the spot BTC price on exchanges may further dwindle. Within hours, Bitcoin's price plummeted from $66,800 to $64,200, with altcoins also witnessing a partial erosion of gains as ETFs sustained around a 3.5% loss. Ethereum's Rollercoaster: Up by 3%, Still Not Enough Ethereum has recently faced a significant downturn in its price, with bulls faltering around the $2,852 mark. This decline, resulting in a more than 10% drop, was swiftly followed by a rapid return above $3,000, currently facing numerous hurdles around $3,200. What levels should be monitored for Ethereum's price after this stage? Ethereum finds itself amidst a recovery wave stemming from the $2,550 support area. However, trading below $3,250 and the 100-hour Simple Moving Average, challenges persist. On the 4-hour ETH/USD chart, an ascending channel forms with resistance at $3,200. Nevertheless, if the pair holds above the $3,000 support zone, momentum may pick up. The recent decline was initiated by a major drop starting at the $3,550 resistance. With over 10% retracement, ETH dipped below $3,000, touching lows near $2,852 before undergoing a recovery akin to Bitcoin. Currently, it trades below $3,250 and the 100-hour SMA, forming an ascending channel with resistance at $3,200. The first significant resistance lies near $3,250, followed by $3,300, and a breakthrough could lead to testing $3,360. The critical barrier might be at $3,500, potentially igniting upward momentum toward $3,620. Failure to surpass $3,250 could instigate a new downtrend, with initial support around $3,080 and significant support below $3,000. Monitoring the $3,000 level is crucial for investors, as a breach could signal a broader downtrend, while surpassing $3,250 could bolster bullish control. Furrever Token (FURR): A Pawsitively Successful Presale Attracts a Huge Wave of Investors In a cryptocurrency landscape often characterized by seriousness and complexity, Furrever Token (FURR) emerges as a refreshing and delightful outlier. With its enchanting blend of cuteness and innovation, FURR has captivated the imagination of investors worldwide, amassing nearly $800,000 in just one month during its successful presale phase. The project's unique proposition goes beyond the traditional utility of cryptocurrencies, offering users an immersive experience centered around the universal appeal of adorable kitties. This charming approach has resonated deeply with investors seeking not only financial gains but also a sense of joy and community within the crypto space. Furrever Token (FURR) Furrever Token (FURR) FURR's success can be attributed to its commitment to creating a vibrant and engaging ecosystem. The platform, adorned with cute cat-themed stickers, emojis, and visuals, provides users with a user-friendly interface designed to enhance their experience. Moreover, FURR fosters a warm and friendly community where members share a common love for the lighter side of crypto. Regular challenges, launches, and growth initiatives encourage active participation, further solidifying the project's position as a community-driven endeavor. Furthermore, FURR offers investors the opportunity for up to 15X returns during the presale phase, with its current price standing at $0.00048. This enticing offer, combined with FURR's innovative approach and robust community engagement, positions the token as a promising investment opportunity in the dynamic cryptocurrency market. Additionally, FURR maintains a clear line of communication with its community through its official support channel at support@furrevertoken.com. Any correspondence from other email addresses should be disregarded to prevent potential scams or fraudulent activities. By prioritizing transparency, security, and innovation, FURR has carved a unique niche for itself and continues to shine brightly in the crypto landscape. Is Furrever Token (FURR) Legit? Despite its playful demeanor, FURR prioritizes security and compliance. The smart contract has undergone thorough audits to ensure the integrity and safety of transactions within the ecosystem. Additionally, the team's decision to lock their tokens for a year demonstrates their long-term commitment to the project and its community. This dedication to transparency and security instills confidence in investors and underscores FURR's legitimacy as a viable investment opportunity. Secure the Most Exclusive Presale Opportunity of 2024 Today! Furrever Token Official Website | Visit Furrever Token Presale Join Official Telegram Group | Follow Official X Account Furrever Token Official Website Furrever Token Official Website Visit Furrever Token Presale Visit Furrever Token Presale Join Official Telegram Group Join Official Telegram Group Follow Official X Account Follow Official X Account This story was distributed as a release by ZEX MEDIA under HackerNoon’s Brand As An Author Program. Learn more about the program here. This story was distributed as a release by ZEX MEDIA under HackerNoon’s Brand As An Author Program. Learn more about the program here . here

Furrever Token (FURR) Shines Amidst Cryptocurrency Market Turmoil with $800K Presale Success

Furrever টোকেন (FURR) $800K প্রিসেল সাফল্যের সাথে ক্রিপ্টোকারেন্সি মার্কেটের অশান্তির মধ্যে উজ্জ্বল

Furrever Token (FURR) glänzt inmitten der Turbulenzen auf dem Kryptowährungsmarkt mit einem erfolgreichen Vorverkauf von 800.000 US-Dollar

Furrever Token (FURR) brilla en medio de la agitación del mercado de criptomonedas con un éxito de preventa de $800,000

Furrever Token (FURR) brille au milieu de la tourmente du marché des crypto-monnaies avec un succès de prévente de 800 000 $

क्रिप्टोकरंसी बाजार में उथल-पुथल के बीच फुर्रेवर टोकन (FURR) ने $800K की प्री-सेल सफलता के साथ चमक बिखेरी

ファーリバートークン（FURR）は、暗号通貨市場の混乱の中で、80万ドルのプレセールの成功で輝きを放つ

Furrever Token (FURR)은 $800,000 사전 판매 성공으로 암호화폐 시장 혼란 속에서 빛을 발합니다.

Furrever Token (FURR) brilha em meio à turbulência do mercado de criptomoedas com sucesso na pré-venda de US$ 800 mil

Токен Furrever (FURR) сияет на фоне потрясений на криптовалютном рынке с успехом предпродажи на сумму 800 тысяч долларов

Furrever Token (FURR), Kripto Para Piyasasındaki Kargaşanın Ortasında 800 Bin Dolarlık Ön Satış Başarısıyla Parlıyor

Mã thông báo Furrever (FURR) tỏa sáng giữa sự hỗn loạn của thị trường tiền điện tử với thành công bán trước 800 nghìn đô la

Furrever Token (FURR) 在加密货币市场动荡中大放异彩，预售成功达 80 万美元

This paper is under CC 4.0 license. available on arxiv Authors: (1) Joel Jang, CarperAI,University of Washington & Allen Institute for AI; (2) Seungone Kim, KAIST AI; (3) Yizhong Wang, University of Washington; (4) Jack Hessel, University of Washington; (5) Luke Zettlemoyer, Aleph Alpha; (6) Hannaneh Hajishirzi, University of Washington & Allen Institute for AI; (7) Yejin Choi, UC San Diego. 2 RELATED WORK Incorporating human preference feedback into a reward model, and subsequently optimizing a language model to output text that reward model scores highly with an RL algorithm, has been shown to result in language models that generate outputs humans generally prefer (Ouyang et al., 2022b). This process has been applied to summarization (Ziegler et al., 2019; Stiennon et al., 2020; Wu et al., 2021a), answering questions with long-form answers using text retrieved from the web (Nakano et al., 2021b; Menick et al., 2022), generating engaging responses in a dialogue settings (Thoppilan et al., 2022; Cohen et al., 2022) and following human instructions (Kojima et al., 2021; Suhr & Artzi, 2022; Kim et al., 2023). Aligning Language Models To Human Preferences However, the standard RLHF setup commonly addressed in prior work assumes a reward model that accounts only for average annotator preference, i.e., the fact that different users may desire different outputs, even for the same prompt, is ignored Casper et al. (2023). Individual preferences can vary not only on aesthetic axes, but also on semantics. For example, Santurkar et al. (2023) use public opinion polling to show that “default” LLM preferences vary in their degree of expressed-opinion alignment with different average opinions among demographic groups.[2] Kirk et al. (2023) defines a taxonomy and policy framework for the alignment of LLMs with personalized feedback. While Wu et al. (2023) performs fine-grained RLHF which is very similar in spirit and allows personalization, our work develops MORL algorithms for scenarios where there are conflicting preferences, not only orthogonal objectives. In this work, we propose formulating LLM personalization as a MORL problem, which was typically studied in decision-making tasks (Hayes et al., 2022) that aims to tackle the problem of simply optimizing by a single, scalar, additive reward function (Sutton & Barto, 2018), which possesses many limitations such as (1) suboptimal solutions due to lack of representation (Hayes et al., 2022), (2) lack of explainability of distinct objectives, and (3) ensuring fair outcomes for multiple participants (Vamplew et al., 2018; Siddique et al., 2020). Multi-objective Reinforcement Learning (MORL) Previous work has aimed to alleviate these problems through novel MORL methods (Van Moffaert et al., 2013; Van Moffaert & Nowe´, 2014; Yang et al., 2019; Xu et al., 2020). Other work aims to solve complex problems such as water management, military purchasing, wind farm control, etc. (Hayes et al., 2022) by converting the single-objective RL problem into a MORL problem. In this work, we convert the problem of aligning LLMs to human preferences into a MORL problem to (1) provide a more optimal solution for each individual, (2) allow users to dynamically choose the distinct objectives they want to optimize, and (3) ensure fairness by allowing preferences that may be in the long-tail to be integrated. Personalization in Natural Language Processing (NLP) has mainly been focused on creating personalized dialogue agents (Zhang et al., 2018; Mazare et al. ´ , 2018; Zheng et al., 2019; Wu et al., 2021b; Xu et al., 2022), where the task is to create chitchat agents that are engaging with distinct personas based on user profile (e.g. gender, age, residence, etc.) or past user history data (e.g. Reddit posts, etc.). Another line of work (Salemi et al., 2023) leverages personalized information to boost performance on specific tasks such as review generation (Li & Tuzhilin, 2019), recipe generation (Majumder et al., 2019), and headline generation (Ao et al., 2021). This line of work requires model providers to make better models utilizing the personal information of the user. In our work, we propose a framework that allows users to choose which preference the language model should prefer, essentially giving control to the user. Personalization in Natural Language Processing Recent work has shown that performing weighted linear interpolation of model parameters leads to the composition of each model ability (Li et al., 2022; Wortsman et al., 2022b;a; Don-Yehiya et al., 2022; Huang et al., 2023). This line of work has led to many interesting applications of model merging such as composing the abilities of expert models that perform different tasks (Ilharco et al., 2022; Jang et al., 2023) and introducing language-specific modules for growing the total capacity of multilingual LMs (Pfeiffer et al., 2022). Parameter Merging Most recently, Rame et al. (2023) proposed to merge policy models that were trained to perform specific tasks such as question answering and summarization using proxy reward models. While they mostly deal with reward models trained on the same data, our proposed MORL methods are an extension of this work that actually deals with diverse reward models trained on multifaceted human feedback to show compositional abilities through parameter merging rather than just ensembling. [2] Feng et al. (2023) suggests that “default” LLM expressed opinions stem directly from the pretraining data.

Personalized Soups: LLM Alignment Via Parameter Merging - Related Work

Reliable Messaging in Distributed Systems

This paper is available on arxiv under CC 4.0 license. Authors: (1) Mattia Atzeni, EPFL, Switzerland and mattia.atzeni@outlook.it; (2) Mrinmaya Sachan, ETH Zurich, Switzerland; (3) Andreas Loukas, Prescient Design, Switzerland. Table of Links Abstract & Introduction Formalizing the Group-Action Learning Problem Attention Masks for Core Geometry Priors The LATFORMER Architecture Experiments Related Work Conclusion & References A. Additional Details on the Model B. Additional Experiments and Details on the Experimental Setup C. Limitations and Future Work D. Deferred Proofs 6. Related Work Our work was inspired by a previous investigation of selfattention layers which identified sufficient conditions such that they can perform convolution when equipped with relative positional encodings (Cordonnier et al., 2020; Andreoli, 2019). Rather than relying on relative encodings, we here show how soft-masking can be used to learn sample efficiently more general input transformations, such as rotation, reflection, and scaling. To the extent of our knowledge, the group-action learning problem has not been explicitly and generally formulated in previous work. That being said, many previous works have focused on specific instances, such as learning to sort (Graves et al., 2014; Reed & De Freitas, 2015; Li et al., 2020) by selecting an element of the permutation group Sn, docking/folding by roto-translating objects according to an action in the special Euclidean group SE(3) (Sverrisson et al., 2022; Stark et al. ¨ , 2022; Jumper et al., 2021), and graph spectrum generation where the learned actions belong to the Stiefel manifold (Martinkus et al., 2022). Our work is similar in spirit to recent efforts in neurosymbolic visual reasoning (Johnson et al., 2017b;a; Goyal et al., 2017; Mao et al., 2019; Higgins et al., 2018) and in the area of enhancing machine-learning models with the ability to reason over structured data (Atzeni et al., 2021; Murugesan et al., 2021a; Atzeni & Atzori, 2018; Murugesan et al., 2021b). Many approaches based on attention mechanisms have been proposed in the past few years (Hudson & Manning, 2018; 2019). Our work differentiates from previous lines of research in that we aim to learn basic geometric reasoning in a sample-efficient way, rather than modeling relationships between high-level concepts. Finally, some recent works came to our same conclusion on the advantages of using attention masks to incorporate prior knowledge in neural networks. As an example, Yan et al. (2020) focus on the task of learning subroutines (e.g., sorting algorithms) and use a CNN to generate an attention mask for a Transformer encoder. Similarly, Sartran et al. (2022) used precomputed attention masks to incorporate syntactic biases in language models.

The Abstraction and Reasoning Corpus: Related Work

The great leaps forward in civilization have all come on the back of advancements in communication. From the evolution of human language and early cave paintings to Gutenberg’s invention of the printing press, through to the age of telecommunications, and, ultimately, the internet. Moving from physical messages to real-time communication (RTC) via telephony enabled our interactions to become faster, more efficient, more scalable, and, most importantly, more interpersonal. The development of the internet is now widely accepted to be falling into distinct phases, which we’ve come to know as Web1, Web2, and Web3. Web1 and Web2 are often defined through the lens of communications, with Web1 featuring static content delivery systems, while Web2 transformed the way we interact online with the advent of social media and video streaming. WebRTC, a defining component of Web2, enabled global business and commerce to continue at the onset of the pandemic in 2020. The emergence of Web3 is still underway, and so far, it’s fair to say that the major impact of Web3 has been more focused on finance than communication. Four years after the pandemic began, WebRTC is still firmly rooted in the Web2 space. Stagnating Problems Our online meetings and interactions take place predominantly using services like Zoom, Microsoft Teams, and Google Meet, alongside more social-oriented offerings such as WhatsApp, FaceTime, and Facebook Messenger. However, there isn’t much to differentiate these products in terms of user experience, and as centralized offerings, they all share similar deficiencies. “ ” came to describe the exhaustion that results from spending hours staring at 2D images of coworkers onscreen. Zoom fatigue Or, if you’re the host, hoping that the screen doesn’t freeze or the audio drops out due to performance and connectivity issues. The practice known as “ ” where unwanted participants gatecrash meetings, highlights just one of the privacy and covert monitoring issues with Web2 RTC services. Zoom bombing, The fact that they are run on centralized servers also creates a potential point of failure, as well as limiting scalability. The fact that Zoom is often named as the culprit for these issues is also somewhat unfair – all platforms suffer from similar issues. Furthermore, and perhaps most importantly, the extractive model of centralized ownership simply doesn’t incentivize change or improvement beyond ensuring that enough customers continue to pay their monthly subscriptions. Policies and practices often work in service of profit but against the interests of the user, such as data harvesting or intrusive ads. Changing the Paradigm The emergence of Web3 offers a chance for a different model; one that’s closer in spirit to the evolution of communication throughout history, where people have sought to make information more accessible and available to the many. Decentralized physical infrastructure (DePIN) refers to the segment of Web3 where projects harness the power of decentralized networks to create a more robust, scalable, and people-centric infrastructure that can support the next evolution of the Internet. The centralized infrastructure model is based on companies generating or buying up resources such as bandwidth, file storage, or connectivity and reselling them at a profit using any of the extractive business practices covered above. In the DePIN model, individuals and entities can pool their resources into a decentralized node-based infrastructure network so it can be sold ad-hoc and on-demand to anyone who needs it at a far lower cost. Entities that contribute resources to the network are rewarded for their contribution, incentivizing further participation. Ultimately, the user benefits from a superior experience thanks to a more scalable and private network that is better designed for growth and improvement. Depending on the type of project, running a node for these networks doesn’t necessarily involve any high technological overheads. However, it is a paradigm shift. Moving from a top-down economic model to a peer-to-peer value creation ecosystem based on shared social consensus requires education and a change in mindset for mainstream users and enterprises unfamiliar with the Web3 model. But the shift is happening. Networks such as Filecoin (decentralized file storage), one of the longest-established DePIN projects, now for global open-source projects such as Wikipedia and Project Gutenberg. hosts file storage DePIN is anticipated to be among the biggest growth segments in the digital asset sector in 2024 as the benefits of decentralized infrastructure networks focused on value creation become more apparent. Ringing the Changes for With dRTC While DePIN segments like file storage, connectivity, and computing have already seen quite extensive development, WebRTC is only just beginning to showcase its potential. The fundamental improvements in the areas of privacy and performance are only the very beginning. Scalable, flexible dRTC (decentralized RTC) will enable on-demand meeting services that can scale to any number of participants without any degradation of quality. The growing demand for RTC in games and virtual spaces will be met by dRTC networks delivering seamless, immersive 3D interactions with ultra-low latency. Furthermore, with the functionality available via APIs and SDKs on an open-source basis, it’s possible to embed rich dRTC into any applications or services. However, the practical benefits of dRTC, and indeed, dePIN more broadly, are only made possible by bringing the to life. Moving from Web2 to Web3 will require a significant mindset shift, but the advantages of doing so will only compound over time. people-powered networking model

People-Powered Communication Network: The Next Generation of WebRTC

Uniting Titans of AI: SingularityNet Investors Eye Option2Trade's $888K Bonanza In the dynamic intersection of and , two titans stand poised for a historic convergence. , a beacon of A.I.-powered trading innovation, has unfurled an enticing $888,000 giveaway, capturing the imagination of investors from SingularityNet (AGIX), a community deeply rooted in the advancement of A.I. technologies. This magnetic pull towards Option2Trade’s (O2T) giveaway underscores a shared vision between Option2Trade (O2T) and SingularityNet’s (AGIX) aficionados—leveraging artificial intelligence to redefine the boundaries of financial growth and technological progress. artificial intelligence cryptocurrency Option2Trade (O2T) A Meeting of Minds and Machines The allure of Option2Trade's (O2T) $888k giveaway has not only spotlighted the platform's prowess in integrating A.I. into trading but has also resonated with the SingularityNet (AGIX) community, known for championing the cause of decentralized A.I. networks. This alignment of interests heralds a new era of collaboration and innovation in the crypto space. The A.I. Revolution Beckons Both Option2Trade (O2T) and SingularityNet (AGIX) stand at the forefront of the A.I. revolution, driving forward with the mission to harness A.I. for groundbreaking applications—in trading for Option2Trade (O2T), and a decentralized marketplace of A.I. services for SingularityNet (AGIX). The $888k giveaway by Option2Trade (O2T) not only serves as a magnet for investors but also as a beacon for A.I. enthusiasts within the SingularityNet (AGIX) community, highlighting the vast potential of A.I. in transforming the financial landscape. The O2T Giveaway: A Springboard for A.I. Integration Option2Trade's (O2T) bold move to offer an $888,000 giveaway is more than a marketing strategy; it's a testament to the platform's confidence in its AI-driven trading solutions and a commitment to fostering a community of forward-thinking investors. SingularityNet Investors: Diving into the A.I. Trading Arena For investors in , the Option2Trade (O2T) giveaway represents an unparalleled opportunity to diversify their portfolios with a platform that aligns with their technological ethos and investment philosophy. SingularityNet (AGIX) From A.I. Services to A.I. Trading SingularityNet (AGIX) investors, already attuned to the nuances of A.I. and its transformative potential, find in Option2Trade’s (O2T) giveaway an opportunity to expand their investment horizons into A.I.-powered trading. By engaging with Option2Trade (O2T), SingularityNet (AGIX) investors not only stand a chance to win a substantial sum but also to become part of a pioneering community at the intersection of A.I. and finance. Envisioning a Future Fueled by A.I. As the Option2Trade (O2T) giveaway draws widespread attention, including from the keen minds behind SingularityNet (AGIX), the future seems poised for an explosion of A.I.-driven innovations in the financial domain. This partnership in spirit between Option2Trade (O2T) and SingularityNet (AGIX) investors underscores a collective march towards a future where A.I. shapes not just the tools of trade but the very fabric of financial success. In conclusion, as Option2Trade (O2T) unfurls its $888k giveaway, it not only sets the stage for a monumental shift in A.I.-powered trading but also invites a partnership with the visionary investors of SingularityNet (AGIX). Together, they embody the pioneering spirit of the crypto and A.I. community, charting a course towards a future where technology and finance merge to unlock new realms of possibility and prosperity. For more information on the Option2Trade (O2T) Presale: Use promo code O2TLaunch to get a 15% bonus Visit Option2Trade Join and become a community member: | Twitter Telegram This story was distributed as a release by B TCwire under HackerNoon’s Business Blogging  Program. Learn more about the program here: https://business.hackernoon.com/

SingularityNet (AGIX) Investors Hock Onto AI Giant Option2Trade's (O2T) $888K Giveaway

SingularityNet (AGIX) বিনিয়োগকারীরা AI Giant Option2Trade's (O2T) $888K গিভওয়ে

SingularityNet (AGIX)-Investoren freuen sich über das 888.000-Dollar-Gewinnspiel von AI Giant Option2Trade (O2T).

Los inversores de SingularityNet (AGIX) se aprovechan del sorteo de 888.000 dólares del gigante de la IA Option2Trade (O2T)

Les investisseurs de SingularityNet (AGIX) se lancent dans le cadeau de 888 000 $ du géant de l'IA Option2Trade (O2T)

सिंगुलैरिटीनेट (एजीआईएक्स) के निवेशक एआई दिग्गज ऑप्शन2ट्रेड (ओ2टी) के $888K उपहार की ओर आकर्षित हैं

SingularityNet (AGIX) 投資家は AI の巨人 Option2Trade (O2T) の 88 万 8,000 ドルの特典に注目

SingularityNet (AGIX) 투자자들이 AI 거대 Option2Trade(O2T)의 $888K 경품 행사에 뛰어들었습니다.

Investidores da SingularityNet (AGIX) apostam na oferta de US$ 888 mil da AI Giant Option2Trade (O2T)

Инвесторы SingularityNet (AGIX) рассчитывают на раздачу 888 тысяч долларов от AI Giant Option2Trade (O2T)

SingularityNet (AGIX) Yatırımcıları Yapay Zeka Devi Option2Trade'in (O2T) 888 Bin Dolarlık Hediyesine Bağlanıyor

Các nhà đầu tư của SingularityNet (AGIX) tham gia vào chương trình tặng quà trị giá 888 nghìn đô la của AI Giant Option2Trade (O2T)

SingularityNet (AGIX) 投资者青睐人工智能巨头 Option2Trade (O2T) 的 88.8 万美元赠品

If you were to ask anyone whether they preferred the original Ace Attorney trilogy or the Apollo Justice trilogy, there’s a very good chance they would say the former. The first 3 games were so amazing that they were extremely hard to follow up. However, the Apollo Justice games (which consist of Ace Attorney 4,5, and 6) are still very good games, and I would encourage anyone who hasn’t played them yet to stop reading this article immediately and play them this instant. They’re filled to the brim with interesting cases, villains, and brand-new protagonists such as Athena Cykes and, of course, Apollo Justice himself. So today, I’m doing the near-impossible and choosing the top 5 Apollo Justice cases. Warning: Spoilers Ahead. The 5 Best Cases From the Apollo Justice Trilogy 5. Turnabout for Tomorrow 5-5 4. Turnabout Revolution 6-5 3. Turnabout Trump 4-1 2. Turnabout Succession 4-4 1. Turnabout Storyteller 6-4 5. Turnabout for Tomorrow 5-5 Throughout the fifth game, Dual Destinies, we know that something traumatic happened to newcomer Athena Cykes. She was keeping a big secret, and in Turnabout for Tomorrow, everything gets revealed. Cykes’ past, prosecutor Simon Blackquill’s connection to all of it, and the mysterious murderer of 2 people all come to light. Turnabout for Tomorrow is the final case of Dual Destinies, and it serves as a fitting end that ties up all the loose ends in a neat bow. The case also has an incredibly shocking twist that I did not see coming. 4. Turnabout Revolution 6-5 Speaking of wrapping things up and shocking twists, the last case in Spirit of Justice brings that in spades. The final case in every Ace Attorney game always goes hard, but probably none so than Turnabout Revolution. It’s long with twist after twist that you don’t see coming, and just when you think you have it figured out, they throw another twist at you. But apart from the craziness of the case, another reason why Turnabout Revolution is great is because it provides closure for Apollo Justice. The once very nervous rookie defense attorney is finally allowed to spread his wings and become a new and improved man. 3. Turnabout Trump 4-1 Shocking twists are usually reserved for the end of the game, but in Apollo Justice, they come out swinging with them. Apollo and his mentor, Kristoph Gavin, have to defend this strange, disheveled man who is accused of murder. Little does Apollo know that their client is the former Ace Attorney himself, Phoenix Wright. And if that wasn’t crazy enough, it turns out that the real murderer was helping us all along. That’s right, in the end, our friend and mentor Gavin is revealed to be the mastermind behind the murder. Apollo Justice has one of the strongest starts in the history of the series, and that’s why it’s one of the best cases in the Apollo Justice trilogy. 2. Turnabout Succession 4-4 When we meet Phoenix Wright at the beginning of the game, we know that he’s not the same man that we last saw in Trials and Tribulations. He lost his reputation, and most importantly, he lost his job as a defense attorney; he was disbarred. But we didn’t really know what happened until Turnabout Succession when everything was revealed. But not only do we see what happened, we experience it ourselves. We play as Phoenix Wright during his last trial when he’s framed for forging evidence, we find out who was behind it all, and we see Apollo Justice rise to the occasion in the present day. And events that we had no idea were important finally make their connections known. For example, the events and characters in cases 4-1 and 4-2 are revealed to actually be a huge part of the story, and it retroactively makes those cases that much better. 1. Turnabout Storyteller 6-4 I love the final cases in Ace Attorney games because it is the culmination of the overall story that they plant from the very beginning. However, I love Turnabout Storyteller for the exact opposite reason. This case has Athena Cykes defending a young man with the help of prosecutor Simon Blackquill. Case 6-4 has nothing to do with the overarching story, none of these characters will probably appear again in future installments, and in the grand scheme of things that were currently going on in the Ace Attorney world, it didn’t seem that big or urgent. But that’s what’s so great about it. The judicial system didn’t ride on the outcome of the case, nor did an entire kingdom’s future hang in the balance. It’s a simple story about young up-and-comer Athena trying to clear somebody of murder, without the help of Phoenix Wright or Apollo Justice. It’s just her, Widget, and Blackquill. And it turned out to be amazing. It’s relatively obvious who the killer is from the get-go, but I didn’t care. The story and the characters were intriguing, and best of all, the chemistry between Athena and Blackquill was amazing. Athena, the ambitious and eager student vs Blackquill as the reluctant but helpful mentor. This case is so good that it’s by far my favorite in the Apollo Justice trilogy, and I think this single case proves that Athena Cykes is an interesting character enough to warrant her being the star of her own game. Read More: The New Tomb Raider Games in Order Persona 3 Remake Officially Announced: Everything We Know So Far The Kingsman Movies in Order Also published here Feature image source

The Apollo Justice Trilogy: The 5 Best Cases

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11-50 employees

Since 2017

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INSPIRIT

EVERGREEN INDEX #6326

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