IUNU (pronounced You-New) \n\niUNU is an agriculture technology company that leverages computer vision to make indoor farming / commercial greenhouses / controlled environment agriculture more efficient, autonomous, and scalable

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The cryptocurrency landscape continues to evolve with contrasting trends across various tokens. Ethereum (ETH) is grappling with a dip in trading volume despite recent price gains, while Shiba Inu (SHIB) celebrates a significant rise, and Furrever Token (FURR) captivates the market with a successful presale, illustrating the varied trajectories and potential within the crypto sector. **Ethereum's (ETH) Stability in Question as Trading Volume Dips Despite Surpassing $3,000** Despite recently crossing the $3,000 threshold and moving past the 100 EMA on the ETH/USD chart, Ethereum faces uncertain prospects due to a significant drop in trading volume. This decline in volume is a concerning indicator that casts doubt on the sustainability of the recent price surge. Ethereum is currently struggling to break through the 26 EMA, a critical short-term moving average that has become a formidable barrier. If Ethereum can successfully navigate past this resistance, it could aim for higher levels, potentially reaching around $3,236. Conversely, failure to surpass this point could result in a fallback to lower support levels, with a possible dip to around $2,890. The future trajectory of Ethereum heavily depends on its trading volume. Increased volume is essential for confirming market trends and demonstrating buyer commitment. Presently, the low trading volume suggests a lack of robust market support for the price rise. Without a significant uptick in trading volume and market liquidity, Ethereum’s ability to sustain its position above $3,000 could be jeopardized, threatening any further price advancements. Shiba Inu's (SHIB) Remarkable Journey: From Memecoin to a Prominent Crypto Asset Shiba Inu, once known primarily as a memecoin, has recently taken significant strides that signal its evolving role in the cryptocurrency market. The project announced a successful fundraising effort, securing $12 million from several high-profile institutional investors. This funding is designated to develop Treat, a privacy layer aimed at boosting user confidentiality and security within the Shiba Inu ecosystem. The initiative to enhance privacy through Treat involves implementing Fully Homomorphic Encryption (FHE), a cutting-edge technology provided by Zama.AI. This encryption allows for computations on encrypted data without exposing the data itself, paving the way for potential transformations in sectors like encrypted lending platforms, tokenized asset exchanges, and encrypted machine-learning models. Shiba Inu's growth trajectory over the past year has been impressive, marked by a 164% increase in its value. This growth is accompanied by the launch of .shib domains and the expansion of Shibarium, its layer-2 scaling solution, which now serves over 1 million users. Recent on-chain data highlights extensive whale activity within the Shiba Inu network, with more than 3.19 trillion SHIB, valued at approximately $82.49 million, moved in just 24 hours. This includes significant transactions involving large amounts of SHIB moving to and from exchanges, indicating a dynamic and active trading environment. Despite some concerns about potential sell-offs by large holders, Shiba Inu's market value has continued to climb, showing a 6.65% increase in the last 12 hours and a 16% rise over the past week. The increasing number of Shiba Inu holders, now exceeding 1.4 million, reflects growing trust and interest in its potential as a stable and valuable digital asset. Moreover, the SHIB team has proactively established support clusters at strategic price points to mitigate potential volatility. These clusters serve as psychological markers where significant buying could potentially re-ignite, supporting the coin's price during market dips. Shiba Inu's evolution from a playful memecoin to a serious contender in the crypto space is underscored by its recent developments, robust community support, and promising technological advancements, positioning it as a potential millionaire maker in the evolving digital asset landscape. Furrever Token (FURR): A Charming New Player in the Crypto Arena Furrever Token (FURR) has burst onto the crypto scene, quickly distinguishing itself from established memecoins like Dogecoin (DOGE) and Shiba Inu (SHIB) with its endearing, kitty-themed appeal. This token not only offers a heartwarming experience centered around the universal charm of adorable cats but also aims to bring a fresh wave of cuteness to the cryptocurrency space. Furrever Token is strategically positioned to foster project growth and sustainability with its token distribution: 65% of its tokens were made available during the presale, and a significant 10% is locked for the team, underlining the project's long-term commitment. This approach has already attracted considerable investment, with the project raising over $1,000,000, reflecting strong investor confidence in its unique vision. The project emphasizes security and compliance, with thorough audits by Securi Lab enhancing its credibility in the market. Moreover, Furrever Token has cultivated a warm and engaging community atmosphere, boasting nearly 4,000 active members on Telegram. This sense of community makes Furrever Token more than just a cryptocurrency; it's a movement towards a more delightful and engaging crypto experience. As the presale phase concludes and Furrever Token prepares for its PancakeSwap debut, anticipation is building within the crypto community about the impact this enchanting token will have. With potential returns of up to 15X and a current price of $0.000648, Furrever Token stands ready to capture the hearts and wallets of crypto enthusiasts and investors, offering a cheerful alternative to more traditional memecoins. For further information or any assistance regarding Furrever Token, reach out only through the official channel at support@furrevertoken.com to avoid potential scams. Discover the Most Exclusive Presale Opportunity of 2024 Now: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. The cryptocurrency landscape continues to evolve with contrasting trends across various tokens. Ethereum (ETH) is grappling with a dip in trading volume despite recent price gains, while Shiba Inu (SHIB) celebrates a significant rise, and Furrever Token (FURR) captivates the market with a successful presale, illustrating the varied trajectories and potential within the crypto sector. Furrever Token (FURR) Furrever Token (FURR) **Ethereum's (ETH) Stability in Question as Trading Volume Dips Despite Surpassing $3,000 ** Despite recently crossing the $3,000 threshold and moving past the 100 EMA on the ETH/USD chart, Ethereum faces uncertain prospects due to a significant drop in trading volume. This decline in volume is a concerning indicator that casts doubt on the sustainability of the recent price surge. Ethereum is currently struggling to break through the 26 EMA, a critical short-term moving average that has become a formidable barrier. If Ethereum can successfully navigate past this resistance, it could aim for higher levels, potentially reaching around $3,236. Conversely, failure to surpass this point could result in a fallback to lower support levels, with a possible dip to around $2,890. The future trajectory of Ethereum heavily depends on its trading volume. Increased volume is essential for confirming market trends and demonstrating buyer commitment. Presently, the low trading volume suggests a lack of robust market support for the price rise. Without a significant uptick in trading volume and market liquidity, Ethereum’s ability to sustain its position above $3,000 could be jeopardized, threatening any further price advancements. Shiba Inu's (SHIB) Remarkable Journey: From Memecoin to a Prominent Crypto Asset Shiba Inu, once known primarily as a memecoin, has recently taken significant strides that signal its evolving role in the cryptocurrency market. The project announced a successful fundraising effort, securing $12 million from several high-profile institutional investors. This funding is designated to develop Treat, a privacy layer aimed at boosting user confidentiality and security within the Shiba Inu ecosystem. The initiative to enhance privacy through Treat involves implementing Fully Homomorphic Encryption (FHE), a cutting-edge technology provided by Zama.AI. This encryption allows for computations on encrypted data without exposing the data itself, paving the way for potential transformations in sectors like encrypted lending platforms, tokenized asset exchanges, and encrypted machine-learning models. Shiba Inu's growth trajectory over the past year has been impressive, marked by a 164% increase in its value. This growth is accompanied by the launch of .shib domains and the expansion of Shibarium, its layer-2 scaling solution, which now serves over 1 million users. Recent on-chain data highlights extensive whale activity within the Shiba Inu network, with more than 3.19 trillion SHIB, valued at approximately $82.49 million, moved in just 24 hours. This includes significant transactions involving large amounts of SHIB moving to and from exchanges, indicating a dynamic and active trading environment. Despite some concerns about potential sell-offs by large holders, Shiba Inu's market value has continued to climb, showing a 6.65% increase in the last 12 hours and a 16% rise over the past week. The increasing number of Shiba Inu holders, now exceeding 1.4 million, reflects growing trust and interest in its potential as a stable and valuable digital asset. Moreover, the SHIB team has proactively established support clusters at strategic price points to mitigate potential volatility. These clusters serve as psychological markers where significant buying could potentially re-ignite, supporting the coin's price during market dips. Shiba Inu's evolution from a playful memecoin to a serious contender in the crypto space is underscored by its recent developments, robust community support, and promising technological advancements, positioning it as a potential millionaire maker in the evolving digital asset landscape. Furrever Token (FURR): A Charming New Player in the Crypto Arena Furrever Token (FURR) has burst onto the crypto scene, quickly distinguishing itself from established memecoins like Dogecoin (DOGE) and Shiba Inu (SHIB) with its endearing, kitty-themed appeal. This token not only offers a heartwarming experience centered around the universal charm of adorable cats but also aims to bring a fresh wave of cuteness to the cryptocurrency space. Furrever Token (FURR) Furrever Token (FURR) Furrever Token is strategically positioned to foster project growth and sustainability with its token distribution: 65% of its tokens were made available during the presale, and a significant 10% is locked for the team, underlining the project's long-term commitment. This approach has already attracted considerable investment, with the project raising over $1,000,000, reflecting strong investor confidence in its unique vision. The project emphasizes security and compliance, with thorough audits by Securi Lab enhancing its credibility in the market. Moreover, Furrever Token has cultivated a warm and engaging community atmosphere, boasting nearly 4,000 active members on Telegram. This sense of community makes Furrever Token more than just a cryptocurrency; it's a movement towards a more delightful and engaging crypto experience. As the presale phase concludes and Furrever Token prepares for its PancakeSwap debut, anticipation is building within the crypto community about the impact this enchanting token will have. With potential returns of up to 15X and a current price of $0.000648, Furrever Token stands ready to capture the hearts and wallets of crypto enthusiasts and investors, offering a cheerful alternative to more traditional memecoins. For further information or any assistance regarding Furrever Token, reach out only through the official channel at support@furrevertoken.com to avoid potential scams. support@furrevertoken.com support@furrevertoken.com Discover the Most Exclusive Presale Opportunity of 2024 Now: 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. 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

Ethereum Wavers with a Volume Drop, Shiba Inu Soars by 164%, & Furrever Token Over $1M in Presales

একটি ভলিউম ড্রপ সহ ইথেরিয়াম ওয়েভার্স, শিবা ইনু 164% বৃদ্ধি পেয়েছে, এবং ফুরেভার টোকেন $1M-এর উপরে

Ethereum schwankt mit Volumenrückgang, Shiba Inu steigt um 164 % und Furrever-Token über 1 Mio. USD im Vorverkauf

Ethereum vacila con una caída de volumen, Shiba Inu se dispara un 164% y el token Furrever supera el millón de dólares en preventas

Ethereum vacille avec une baisse de volume, Shiba Inu monte en flèche de 164 % et le jeton Furrever dépasse 1 million de dollars en préventes

इथेरियम में वॉल्यूम में गिरावट, शिबा इनु में 164% की उछाल, और फुर्रेवर टोकन की प्रीसेलिंग $1 मिलियन से अधिक

イーサリアムは取引量減少で動揺、柴犬は164%急騰、Furreverトークンはプレセールで100万ドル超

거래량 감소로 이더리움이 흔들리고, 시바견이 164% 급등하고, Furrever 토큰이 사전 판매에서 100만 달러 이상을 기록했습니다.

Ethereum oscila com queda de volume, Shiba Inu dispara 164% e Furrever Token ultrapassa US$ 1 milhão em pré-vendas

Ethereum колеблется с падением объема, Shiba Inu взлетает на 164%, а токены Furrever на предварительных продажах превышают 1 миллион долларов

Ethereum Wavers Hacim Düşüşüyle, Shiba Inu %164 Yükseldi ve Furrever Token Ön Satışlarda 1 Milyon Doları Aştı

Ethereum dao động với khối lượng giảm, Shiba Inu tăng vọt 164% và mã thông báo Furrever bán trước hơn 1 triệu đô la

以太坊交易量下跌，柴犬价格飙升 164%，Furrever 代币预售额超过 100 万美元

In the fluctuating world of cryptocurrencies, recent developments have seen significant movements among well-known coins as well as emerging tokens. Shiba Inu (SHIB) is currently teetering at a crucial technical threshold, Solana (SOL) has faced a drastic downturn, and Furrever Token (FURR) is blending novelty with substantial financial potential, creating a unique space for itself in the crypto market. These shifts highlight not only the inherent volatility of digital currencies but also the varied responses of different tokens to market pressures. Shiba Inu (SHIB) Teeters at Critical Threshold as Price Hits $0.00002 Shiba Inu, a popular cryptocurrency, finds itself at a critical juncture as its value has recently dropped to $0.00002. This key level coincides with the 100-day Exponential Moving Average (EMA), a significant indicator in technical analysis that often acts as a make-or-break point for financial assets. In recent times, Shiba Inu has been experiencing a consolidation phase, hovering right around this critical EMA. This positioning suggests that investor behavior in the coming days will be crucial in determining SHIB's future market direction. A failure to maintain its stance above the 100 EMA could result in significant selling pressure, pushing the price even lower. The technical analysis shows that if Shiba Inu falls below the 100 EMA, the next support lies at the 200 EMA, which is considerably lower. This could potentially trigger a sharp decline in SHIB's price. Conversely, a rebound from the 100 EMA could signal a return to an upward trend for the cryptocurrency. As Shiba Inu navigates these turbulent waters, the resistance levels above current prices, particularly around $0.000022, will be critical for any potential recovery and growth. The market's current volatility and the overall appetite for risk among investors will play significant roles in shaping the trajectory of SHIB in the near future. With the crypto market facing challenges, each move Shiba Inu makes could be pivotal in setting its path forward. Whether SHIB can withstand the current market pressures or succumb to further declines remains to be seen as investors closely watch its response to these critical technical levels. Solana Suffers a Sharp 40% Decline Amid Crypto Market Downturn Solana has experienced a significant drop in value, plummeting over 40% after a general downturn in the cryptocurrency market. This steep fall erased the gains Solana had accumulated over the previous month, posing challenges for its future market position. Previously, Solana had reached a high of $211, but a subsequent decline saw its price stabilize around $170, which initially acted as a support level. However, the broader market’s downturn pushed Solana’s price down further, eventually falling below the $170 mark to find temporary stability at $120. This level attracted some buying interest, which helped push the price up to $150, but the resurgence was short-lived as selling pressure soon dominated, sending the price down to around $128. Currently, Solana is trading below its 50-day moving averages, a bearish signal for potential investors. The market oscillators and dynamics also suggest a continued downward trend, indicating that the recent recovery to $150 may not be sustained. Looking ahead, if Solana can maintain a price above $120, there could be potential for a bullish trend pushing it up to $150 and possibly extending to $170 or even $180, which would represent an increase of over 39%. Conversely, if it fails to hold above $120, a further decline to the $110 level might occur, with a possibility of dropping to around $95, marking a decrease of more than 26%. This analysis, conducted in collaboration with Elie FT from Family Trading, underscores the importance of monitoring Solana’s price movement closely at key levels to gauge whether the bullish or bearish scenarios will unfold. Investors are also cautioned to stay alert for potential market fluctuations that could lead to "fake outs" or "squeezes." As the cryptocurrency landscape remains volatile, these insights are critical for traders and investors looking to navigate the ups and downs of the market effectively. Furrever Token (FURR): A Blend of Charm and Profit in the Crypto World Furrever Token (FURR) is capturing hearts and wallets in the cryptocurrency space with a unique offering that marries the allure of digital kittens with financial incentives. This innovative project goes beyond the typical applications of blockchain technology by integrating adorable cat-themed visuals, stickers, and emoticons, creating a warm, engaging crypto environment aimed at building a tight-knit community. Tokenomics for the Furrever Token are structured with investor confidence in mind: 65% of the tokens were available during the pre-sale, 25% are allocated to decentralized exchanges (DEXs), and the remaining 10% are held by the team with a one-year lock to ensure project stability and long-term planning. Having already successfully raised over $825,000 and advancing to stage 7 of its funding goal, Furrever Token is on track to reach its target of $1.9 million. Once completed, it plans to launch on PancakeSwap, with transactions possible via various currencies including USDT (BEP-20). The promise of up to 15X returns on investment at a current price of $0.000564 adds to the appeal, attracting both seasoned and new investors. To bolster its credibility, the Furrever Token team has committed to transparency by conducting thorough audits of its smart contracts, maintaining a tax-free trading policy, and imposing a one-year lock on team-held tokens. The project’s dedication to legitimacy is further supported by its proactive community management, with nearly 4,300 members on Telegram and active administrators and moderators who address issues swiftly. For potential investors, the only official channel to purchase Furrever Tokens is through their website, ensuring a safe and secure transaction environment. As investors in established cryptocurrencies like Solana (SOL) and Ethereum (ETH) explore new opportunities, Furrever Token stands out with its enchanting concept and potential for substantial financial returns, offering more than just a digital asset— a delightful and profitable part of the lighter side of the crypto world. 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. In the fluctuating world of cryptocurrencies, recent developments have seen significant movements among well-known coins as well as emerging tokens. Shiba Inu (SHIB) is currently teetering at a crucial technical threshold, Solana (SOL) has faced a drastic downturn, and Furrever Token (FURR) is blending novelty with substantial financial potential, creating a unique space for itself in the crypto market. These shifts highlight not only the inherent volatility of digital currencies but also the varied responses of different tokens to market pressures. Shiba Inu (SHIB) Teeters at Critical Threshold as Price Hits $0.00002 Shiba Inu (SHIB) Teeters at Critical Threshold as Price Hits $0.00002 Shiba Inu, a popular cryptocurrency, finds itself at a critical juncture as its value has recently dropped to $0.00002. This key level coincides with the 100-day Exponential Moving Average (EMA), a significant indicator in technical analysis that often acts as a make-or-break point for financial assets. In recent times, Shiba Inu has been experiencing a consolidation phase, hovering right around this critical EMA. This positioning suggests that investor behavior in the coming days will be crucial in determining SHIB's future market direction. A failure to maintain its stance above the 100 EMA could result in significant selling pressure, pushing the price even lower. The technical analysis shows that if Shiba Inu falls below the 100 EMA, the next support lies at the 200 EMA, which is considerably lower. This could potentially trigger a sharp decline in SHIB's price. Conversely, a rebound from the 100 EMA could signal a return to an upward trend for the cryptocurrency. As Shiba Inu navigates these turbulent waters, the resistance levels above current prices, particularly around $0.000022, will be critical for any potential recovery and growth. The market's current volatility and the overall appetite for risk among investors will play significant roles in shaping the trajectory of SHIB in the near future. With the crypto market facing challenges, each move Shiba Inu makes could be pivotal in setting its path forward. Whether SHIB can withstand the current market pressures or succumb to further declines remains to be seen as investors closely watch its response to these critical technical levels. Solana Suffers a Sharp 40% Decline Amid Crypto Market Downturn Solana has experienced a significant drop in value, plummeting over 40% after a general downturn in the cryptocurrency market. This steep fall erased the gains Solana had accumulated over the previous month, posing challenges for its future market position. Previously, Solana had reached a high of $211, but a subsequent decline saw its price stabilize around $170, which initially acted as a support level. However, the broader market’s downturn pushed Solana’s price down further, eventually falling below the $170 mark to find temporary stability at $120. This level attracted some buying interest, which helped push the price up to $150, but the resurgence was short-lived as selling pressure soon dominated, sending the price down to around $128. Currently, Solana is trading below its 50-day moving averages, a bearish signal for potential investors. The market oscillators and dynamics also suggest a continued downward trend, indicating that the recent recovery to $150 may not be sustained. Looking ahead, if Solana can maintain a price above $120, there could be potential for a bullish trend pushing it up to $150 and possibly extending to $170 or even $180, which would represent an increase of over 39%. Conversely, if it fails to hold above $120, a further decline to the $110 level might occur, with a possibility of dropping to around $95, marking a decrease of more than 26%. This analysis, conducted in collaboration with Elie FT from Family Trading, underscores the importance of monitoring Solana’s price movement closely at key levels to gauge whether the bullish or bearish scenarios will unfold. Investors are also cautioned to stay alert for potential market fluctuations that could lead to "fake outs" or "squeezes." As the cryptocurrency landscape remains volatile, these insights are critical for traders and investors looking to navigate the ups and downs of the market effectively. Furrever Token (FURR): A Blend of Charm and Profit in the Crypto World Furrever Token (FURR) is capturing hearts and wallets in the cryptocurrency space with a unique offering that marries the allure of digital kittens with financial incentives. This innovative project goes beyond the typical applications of blockchain technology by integrating adorable cat-themed visuals, stickers, and emoticons, creating a warm, engaging crypto environment aimed at building a tight-knit community. Furrever Token (FURR) Furrever Token (FURR) Tokenomics for the Furrever Token are structured with investor confidence in mind: 65% of the tokens were available during the pre-sale, 25% are allocated to decentralized exchanges (DEXs), and the remaining 10% are held by the team with a one-year lock to ensure project stability and long-term planning. Having already successfully raised over $825,000 and advancing to stage 7 of its funding goal, Furrever Token is on track to reach its target of $1.9 million. Once completed, it plans to launch on PancakeSwap, with transactions possible via various currencies including USDT (BEP-20). The promise of up to 15X returns on investment at a current price of $0.000564 adds to the appeal, attracting both seasoned and new investors. To bolster its credibility, the Furrever Token team has committed to transparency by conducting thorough audits of its smart contracts, maintaining a tax-free trading policy, and imposing a one-year lock on team-held tokens. The project’s dedication to legitimacy is further supported by its proactive community management, with nearly 4,300 members on Telegram and active administrators and moderators who address issues swiftly. For potential investors, the only official channel to purchase Furrever Tokens is through their website, ensuring a safe and secure transaction environment. As investors in established cryptocurrencies like Solana (SOL) and Ethereum (ETH) explore new opportunities, Furrever Token stands out with its enchanting concept and potential for substantial financial returns, offering more than just a digital asset— a delightful and profitable part of the lighter side of the crypto world. Secure the Most Exclusive Presale Opportunity of 2024 Today! Furrever Token Official Website | Visit Furrever Token Presale Furrever Token Official Website Furrever Token Official Website Visit Furrever Token Presale Visit Furrever Token Presale Join Official Telegram Group | Follow Official X Account 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 here

Unlocking Insights: Analyzing Solana (SOL), Shiba Inu (SHIB), & Furrever Token (FURR) Market Trends

Perhaps you’ve noticed that photos appearing on the news depicting war are being questioned much more frequently than before. In many instances, they’ve been identified as fakes by expert inspection, the consensus of a community of people, or tools such as fake photodetectors that analyze them. Whereas 2023 may be looked upon as the year where it became standard practice to question whether photos and, in many cases, videos and documents are real, 2024 is poised to be the year where it becomes standard practice to run every questionable photo, video, and document through AI systems to determine their authenticity. After years of experts warning about a potential scenario where deepfakes will have the power to skew reality, it only makes sense to ask a couple of questions: How did we so rapidly get into this situation? What can we do about it? GenAI Implications With the explosion of generative AI text tools such as ChatGPT in 2023, it was easy to lose track of text-to-photo offering, , making tremendous headway in the ability to create fake images. OpenAI’s Dall-E At the same time, many similar frameworks emerged from several vendors and open source, including , , , and , amongst many others. If your goal is to create fake photos, you no longer have to look very far. Stable Diffusion Midjourney Adobe Firefly Google Many of these frameworks have already undergone significant improvements in 2023 alone, and the outcome is very clear. The ability to generate fake or AI-altered photos is now in the hands of the masses, and the ability to generate fake videos and documents is also here and rapidly improving. So now that the proverbial cat has been let out of the bag, there are a number of efforts circulating to help resolve the issue of fakes, ranging from government policies and controls to standards to help identify fake photos, videos, and documents, to anti-AI frameworks you can begin using today. While government policies and controls may represent a valiant effort to save us from this impending doom, open-source frameworks tend to elude corporate-enforced controls, because they are not owned by any particular organization. Moreover, the effort would require governments from virtually all nations to act in tandem to help solve the problem that effectively has spread worldwide. Standards to identify fake photos are also a valiant effort to get the corporations developing generative AI to digitally watermark the photos and videos created, so, they can be identified as fakes. However, these corporations amount to the good actors of the potential information warfare that can ensue. What about the bad actors leveraging open source or finding ways to circumvent or remove the watermarking? The answer, if you haven’t guessed, is there is no way to get bad actors to play nice. That leaves anti-AI frameworks, or fake detectors, as the best available and most proactive tool, particularly for businesses who need to protect important data against the onslaught of fakes. Tools that identify what is real and what is fake are the best immediate defense, albeit there are a few caveats everyone should be aware of. Static tools will become obsolete very fast as a result of the advancement of generative AI technology. There needs to be constant improvement on the side of the detectors to keep up with the constantly improving fakes. While some may argue that this is a losing battle, it is the only battle for those who want to guard against fraud and potential reputation damage. The other caveat is that a detection framework needs to be analyzed rapidly and at scale to counter incoming threats. Thanks to GPU technology and cloud scale, this is all possible today. Ultimately, while a few choices are floating around how to thwart fakes, the best defense is a tangible strategy rather than hoping the problem goes away or that others resolve the problem for you. Those who take early action will benefit in the long term. Luckily, there are proactive steps you can take to protect yourself and your business against the growing threat of fakes.

The 2024 Inundation of Fake Photos, Videos and Documents: And Why 2023 Was Just the Beginning

Investor sentiment significantly influences the trajectory of cryptocurrency tokens, with Shiba Inu (SHIB) and Dogecoin (DOGE) falling short of expectations. This shift is reflected in the falling momentum of these tokens, leading to the development of , a promising new token with potential returns of 500x, which is now in Stage 3 of development, capturing the attention and imagination of the crypto community. Option2Trade (O2T) The Rise of a New Contender As and Dogecoin (DOGE) grapple with maintaining their momentum, Option2Trade (O2T) emerges as a beacon of potential in the cryptocurrency space. Option2Trade’s (O2T) entry into Stage 3 of its development marks a pivotal moment, signifying not only the progress of its roadmap but also the growing investor interest in what it promises to offer. The allure of a 500x return on investment is not something that can be easily overlooked, especially in a market that thrives on high-risk, high-reward propositions. Shiba Inu (SHIB) Shifting Tides of Investor Sentiment The fading enthusiasm for Shiba Inu (SHIB) and can be attributed to several factors, ranging from market saturation to the challenge of sustaining interest without significant technological or functional advancements. In contrast, capitalizes on the latest in decentralized web3 trading solutions, presenting a compelling case for investors looking for the next big thing. Option2Trade (O2T) Swap, a key feature of the platform, aims to facilitate liquidity inflows from other blockchains, addressing a critical need in the decentralized finance (DeFi) ecosystem. Dogecoin (DOGE) Option2Trade (O2T) Why O2T Captures the Market's Imagination The promise of Option2Trade (O2T) extends beyond its potential for significant returns. It's the project's commitment to leveraging web3 technology and blockchain to create decentralized trading platforms that set it apart. In a market where security, transparency, and trust are paramount, Option2Trade’s (O2T) approach resonates with investors disillusioned by the limitations of Shiba Inu (SHIB) and Dogecoin (DOGE). This technological edge, combined with the tantalizing prospect of 500x returns, positions Option2Trade (O2T) as a formidable challenger to established meme coins. The Decentralized Promise of O2T At the heart of Option2Trade’s (O2T) appeal is its vision for a decentralized trading future. By building on the principles of web3 technology, Option2Trade (O2T) aims to offer a trading experience that is not only secure and transparent but also highly efficient. The potential for Option2Trade (O2T) Swap to revolutionize liquidity flows between blockchains is a testament to the innovative spirit driving the project forward. This focus on delivering tangible value through technological advancement starkly contrasts with the perceived stagnation surrounding Shiba Inu (SHIB) and Dogecoin (DOGE). The O2T Journey Continues As Option2Trade (O2T) advances into Stage 3 of its development, the crypto community watches with keen interest. The journey ahead is fraught with challenges, but the potential rewards are undeniable. With each mention of Option2Trade (O2T), Shiba Inu (SHIB), and Dogecoin (DOGE), the narrative of a shifting crypto landscape becomes increasingly apparent. Investors are beginning to realign their portfolios in anticipation of what Option2Trade (O2T) might achieve, drawn by the promise of groundbreaking technology and the lure of exponential returns. Option2Trade (O2T) is emerging as a potential cryptocurrency market powerhouse, leveraging web3 technology to deliver unprecedented returns and redefine decentralized trading. As Shiba Inu (SHIB) and Dogecoin (DOGE) struggle to meet expectations, Option2Trade (O2T) stands at the forefront of the next wave of crypto innovation, offering investors a new beacon of hope in the quest for financial growth. For more information on the Option2Trade (O2T) Presale: Use promo code O2TLaunch to get 15% bonus Visit Option2Trade (O2T) Join and become a community member: | Telegram Twitter This story was distributed as a release by BTCWire under HackerNoon’s Business Blogging Program. Learn more about the program here: https://business.hackernoon.com/

Option2Trade (O2T): A New Contender Emerges as Shiba Inu (SHIB) and Dogecoin (DOGE) Stagnate

শিবা ইনু এবং ডোজেকয়েন 500x টোকেন তৃতীয় পর্যায়ে প্রবেশ করায় বিনিয়োগকারীদের প্রত্যাশা কম

Shiba Inu und Dogecoin bleiben hinter den Erwartungen der Anleger zurück, da der 500-fache Token in Phase 3 eintritt

Shiba Inu y Dogecoin no cumplen con las expectativas de los inversores cuando el token 500x ingresa a la etapa 3

Shiba Inu et Dogecoin ne répondent pas aux attentes des investisseurs alors que le jeton 500x entre dans l'étape 3

500x टोकन के चरण 3 में प्रवेश के कारण शीबा इनु और डॉगकॉइन निवेशकों की उम्मीदों पर खरे नहीं उतरे

500倍トークンがステージ3に入り、柴犬とドージコインは投資家の期待を下回る

Shiba Inu와 Dogecoin은 500x 토큰이 3단계에 진입함에 따라 투자자 기대에 미치지 못합니다.

Shiba Inu e Dogecoin ficam aquém das expectativas dos investidores quando o token 500x entra no estágio 3

Сиба-ину и Dogecoin не оправдывают ожиданий инвесторов, поскольку токен 500x переходит на стадию 3

500x Token 3. Aşamaya Girerken Shiba Inu ve Dogecoin Yatırımcıların Beklentilerinin Gerisinde Kaldı

Shiba Inu và Dogecoin không đạt được kỳ vọng của nhà đầu tư khi mã thông báo 500x bước vào giai đoạn 3

随着 500x 代币进入第三阶段，柴犬和狗狗币未达到投资者的预期

In the ever-evolving world of cryptocurrencies and decentralized technologies, the Shiba Inu project is making waves with its ambitious plans to introduce a '.shib' internet domain. This move is part of a broader push towards the creation of a decentralized identity ecosystem, offering a glimpse into the future of digital identities and online interactions. As the internet continues to shape our lives, the need for secure and transparent identity solutions becomes increasingly paramount, and the '.shib' domain could be a game-changer in this realm. The Rise of Decentralized Identities Decentralized identities have emerged as a revolutionary concept, challenging the traditional centralized models of identity management. In a world where data breaches and privacy concerns are rampant, the idea of giving individuals control over their personal information has garnered significant attention. By leveraging blockchain technology and decentralized systems, these identities aim to provide a secure and transparent way for users to manage their digital footprint, while minimizing the risks associated with centralized data storage. Understanding Decentralized Domains At the core of the Shiba Inu project's plans lies the concept of decentralized domains. These domains operate on decentralized systems, rather than being controlled by centralized authorities like traditional domain registrars. By applying for the '.shib' top-level domain, Shiba Inu aims to create a unique namespace that can be used to establish digital identities within its ecosystem, fostering a sense of community and ownership among its users. The Shiba Inu Ecosystem and Shibarium Shiba Inu, the popular meme-inspired cryptocurrency, has ambitious plans beyond just being a digital asset. The project has developed its own decentralized ecosystem, which includes the Shib Name Service (SNS) and the upcoming Shibarium layer 2 network. The SNS serves as a means to introduce digital identity verification for all products built on the Shiba Inu blockchain, while Shibarium aims to provide scalability and faster transaction times. Challenges and Controversies While the concept of decentralized identities and domains holds immense potential, it is not without its challenges and controversies. Issues such as user adoption, regulatory hurdles, and interoperability with existing systems are just a few of the obstacles that projects like Shiba Inu may face. Additionally, concerns around the security and privacy of these decentralized systems continue to be debated within the broader community. Real-world Applications and Use Cases Decentralized identities and domains have a wide range of potential applications across various industries and sectors. In the realm of finance, they could revolutionize know-your-customer (KYC) processes and anti-money laundering (AML) compliance, providing a secure and transparent way to verify identities. In e-commerce and online transactions, decentralized identities could enhance consumer trust and reduce the risk of fraud. Furthermore, they could play a crucial role in protecting user privacy and data sovereignty in the digital age. The Future of Digital Identities and Shiba Inu's Impact As the world becomes increasingly digitized, the need for robust and secure digital identity solutions will only continue to grow. The Shiba Inu project's foray into the realm of decentralized identities and domains could be a significant step towards a future where individuals have greater control over their online presence and personal data. If successful, the '.shib' domain could pave the way for other blockchain projects and decentralized ecosystems to explore similar avenues, fostering innovation and pushing the boundaries of what is possible in the world of digital identities. Final Thoughts The Shiba Inu project's plans to introduce a '.shib' internet domain and delve into the realm of decentralized identities represent a bold and ambitious step towards a more secure and transparent digital future. While challenges and uncertainties remain, the potential impact of this endeavor cannot be ignored. As the world grapples with the complexities of online identities and data privacy, projects like Shiba Inu offer a glimpse into the possibilities that decentralized technologies can unlock. Whether the '.shib' domain becomes a widespread success or not, it serves as a reminder that the pursuit of innovative solutions in the realm of digital identities is crucial for navigating the ever-changing digital landscape. Don’t forget to like and share the story! This author is an independent contributor publishing via our brand-as-author program. Be it through direct compensation, media partnerships, or networking, the author has a vested interest in the company/ies mentioned in this story. HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYOR Vested Interest Disclosure:

The Rise of Decentralized Identities: Shiba Inu's Move Towards a '.shib' Domain

বিকেন্দ্রীভূত পরিচয়ের উত্থান: শিবা ইনু একটি '.শিব' ডোমেনের দিকে অগ্রসর হচ্ছে

Der Aufstieg dezentraler Identitäten: Shiba Inus Schritt hin zu einer „.shib“-Domain

El auge de las identidades descentralizadas: el movimiento de Shiba Inu hacia un dominio '.shib'

La montée des identités décentralisées : l'évolution de Shiba Inu vers un domaine « .shib »

विकेंद्रीकृत पहचान का उदय: शीबा इनु का '.शिब' डोमेन की ओर कदम

分散型アイデンティティの台頭: 「.shib」ドメインに向けた柴犬の動き

분산형 ID의 부상: '.shib' 도메인을 향한 Shiba Inu의 움직임

A ascensão das identidades descentralizadas: o movimento de Shiba Inu em direção a um domínio '.shib'

Рост децентрализованной идентичности: переход сиба-ину к домену .shib

Merkezi Olmayan Kimliklerin Yükselişi: Shiba Inu'nun '.shib' Etki Alanına Doğru Hareketi

Sự trỗi dậy của danh tính phi tập trung: Động thái của Shiba Inu hướng tới miền '.shib'

去中心化身份的兴起：柴犬走向“.shib”域名

The Shiba Inu long-term prediction is difficult due to new presales. BlockDAG and SpongeV2 presales are trending in the crypto market. While the SpongeV2 presale is moving quickly, the presale is on a bullish run. BlockDAG coin BlockDAG is doing so much in the crypto market, raising over $2.2 million. Not
only that, but it has sold a good amount of miners and is still counting. Shiba Inu: Still Worthy Meme Coin? Trading analysts are monitoring Shiba Inu's long-term prediction, trying to determine whether it will remain in the second position as the largest meme coin. Shiba Inu has shown good outputs in the past few days as it tries to maintain its position in the crypto market. Shiba Inu has a strong hold on its features and benefits. For that reason, it is trending so much in the market. It runs on a decentralized network, meaning no one controls it. Shiba Inu has taken part in creating various tokens and projects as well. It introduces tokens like SHIB, LEASH, and Bone. SpongeV2: Aiming For Big Trading Platform The SpongeV2 presale has experienced growth in its user adoption. Investors are more likely interested in experiencing its DeFi system. Moreover, SpongeV2 is aiming to partner with other projects and trading platforms. This can bring more positivity to the SpongeV2 presale. The native token of SpongeV2 has shown some significant market growth. It has managed to keep its steady pricing. SpongeV2 has managed to gain investors' attention by providing decent returns. Investors have the option to earn by participating in different options. They can earn by staking, providing liquidity, or performing farming. These opportunities make SpongeV2 attractive to some investors in the crypto market. BlockDAG: The Next Mining Power House! BlockDAG has entered the bull run race and is making significant strides in the crypto sphere. Its coins are in high demand, attracting attention from prominent crypto investors. With an impressive fundraising of over $2.2 million and ongoing momentum, BlockDAG is on a path of exponential growth. As batch 2 nears completion, anticipation builds for the upcoming batch 3 launch. Furthermore, BlockDAG is not only selling coins rapidly but also producing them at a remarkable rate. The sale of over 3000 miners highlights this trend, with no signs of slowing down. BlockDAG's commitment to robust mining infrastructure underscores its confidence in the mining sector. Offering a diverse range of miners from X1 to X100, BlockDAG provides various options for investors. Each miner, including X1, X10, X30, and X100, offers different earning potentials, ranging from 20 to 2000 coins per day. Crypto mining presents an attractive opportunity for passive income generation, and BlockDAG facilitates this through its versatile mining options. Last Thoughts The Shiba Inu long-term prediction is expected to halt as new presale coins emerge. It is better to change strategy if you are looking for . BlockDAG and SpongeV2 are the strongest and closest competitors. While SpongeV2 is making decent progress, BlockDAG is shining much brighter. BlockDAG, having diverse mining rigs, has gained so much attention from investors. It has already raised an enormous amount of over $2.2, targeting to reach $600M. It is becoming the top choice for crypto investors to invest in 2024. top cryptos to buy in March 2024 Join the BlockDAG network now for maximized returns on your investments | | | Website Presale Telegram Discord This story was distributed as a release by BTCWire under HackerNoon’s Business Blogging Program. Learn more about the program here: https://business.hackernoon.com/

BlockDAG Miner Madness: 3,000+ Sold! Shiba Inu Struggles while SpongeV2 Sets For Listing

ব্লকডিএজি মাইনার ম্যাডনেস: 3,000+ বিক্রি হয়েছে! SpongeV2 তালিকার জন্য সেট করার সময় Shiba Inu সংগ্রাম করছে

BlockDAG Miner Madness: 3.000+ verkauft! Shiba Inu kämpft, während SpongeV2 auf die Liste geht

BlockDAG Miner Madness: ¡más de 3000 vendidos! Shiba Inu lucha mientras SpongeV2 se prepara para cotizar en bolsa

BlockDAG Miner Madness : 3 000+ vendus ! Shiba Inu se bat pendant que SpongeV2 se prépare à être répertorié

ब्लॉकडीएजी माइनर मैडनेस: 3,000+ बिके! शीबा इनु संघर्ष कर रही है जबकि स्पंजवी2 लिस्टिंग के लिए तैयार है

BlockDAG Miner Madness: 3,000+ 販売! SpongeV2 が上場に向けて奮闘する柴犬

BlockDAG Miner Madness: 3,000개 이상 판매됨! Shiba Inu는 SpongeV2가 상장되는 동안 어려움을 겪고 있습니다.

Loucura do mineiro BlockDAG: mais de 3.000 vendidos! Shiba Inu luta enquanto SpongeV2 se prepara para listagem

BlockDAG Miner Madness: продано более 3000 штук! Сиба-ину борется с трудностями, пока SpongeV2 готовится к листингу

BlockDAG Madenci Çılgınlığı: 3.000+ Satıldı! SpongeV2 Listelenmeye Hazırlanırken Shiba Inu Mücadele Ediyor

Công cụ khai thác BlockDAG điên rồ: Hơn 3.000 đã được bán! Shiba Inu gặp khó khăn trong khi SpongeV2 chuẩn bị niêm yết

BlockDAG 矿工疯狂：已售出 3,000 多个！ SpongeV2 准备上市，柴犬陷入困境

Pioneering Privacy Protection for the SHIB Community In a monumental development for privacy and security in the blockchain space, SHIB has integrated sophisticated encryption technology into its ecosystem. This groundbreaking move establishes a new precedent for data protection among cryptocurrencies and cements Shiba Inu's reputation as an innovator within the Web3 landscape. As the popularity of blockchain and cryptocurrency grows, so too do the risks of cyberattacks and data breaches. In 2021 alone, over $10 billion worth of cryptocurrency was stolen due to hacks and exploits. With billions of dollars and sensitive personal information at stake in the crypto economy, the need for robust privacy and security measures has never been more urgent. SHIB's implementation of cutting-edge encryption standards puts user protection front and center, addressing this pressing need head-on through technical leadership. By prioritizing privacy from the earliest stages of development, the project is setting the bar for responsible stewardship in an increasingly decentralized financial system. Implementing Best-in-Class Encryption Technologies At the core of SHIB's new privacy infrastructure is Fully Homomorphic Encryption (FHE) - considered the "holy grail" of encryption due to its ability to enable computation on encrypted data without decryption. Leveraging FHE in collaboration with Zama, a recognized leader in web3 encryption, SHIB can now offer its community unparalleled on-chain privacy. FHE allows for sensitive data like transaction details, wallet balances, and personal information to be encrypted end-to-end throughout its entire lifecycle. This prevents any unintended exposure, even to nodes and validators participating in network operations. Computations can still occur without ever accessing the raw, unencrypted data. All user activity and transactions on the SHIB network will benefit from this additional layer of security powered by the $TREAT token. Participants can now shield sensitive information from potential data breaches while still enjoying the convenience of the SHIB ecosystem. The integration of military-grade encryption establishes SHIB as a pioneer in blockchain security. Emphasizing SHIB's Commitment to Its Community This development underscores SHIB's dedication to protecting its community of users and developers as it continues expanding into a fully-fledged nation state. With millions of holders worldwide, SHIB recognizes its responsibility to safeguard the interests of its constituents. "We know that in order to deliver against our vision for a nation state, we need to empower our Shibizens to operate with the full confidence that their activity is both private and secure," said Shytoshi Kusama, the pseudonymous lead developer of SHIB. "This partnership with Zama and the implementation of FHE is a seminal milestone in our journey to fulfill that promise. Privacy and security must be foundational if we are to build the decentralized future we envision." By prioritizing user wellbeing through innovative solutions, SHIB demonstrates the principles of community, empowerment and shared prosperity that have fueled its rise. This commitment to responsible stewardship through technical leadership sets an example that others in the industry would be wise to follow. Unlocking New Use Cases and Growth Potential With best-in-class privacy and security now underpinning the network, SHIB is poised to unlock new use cases and exponential growth. FHE paves the way for confidential smart contracts, encrypted machine learning, and other innovative applications that were previously not possible due to privacy limitations. For example, confidential smart contracts powered by FHE could enable entirely new classes of financial applications like encrypted lending platforms and tokenized asset exchanges that preserve user privacy. Encrypted machine learning models could analyze user behavior and preferences privately to improve services. As one of the most widely-held and recognized cryptocurrencies globally, SHIB has both the resources and passionate community needed to catalyze mainstream adoption of this cutting-edge technology. By setting a new standard for privacy and security, this development solidifies SHIB's position as a trailblazer within the blockchain industry. Ushering in a New Era of Privacy and Innovation in Web3 With its substantial market presence and global community, SHIB's integration of sophisticated encryption serves as a seminal moment for privacy and security across Web3. This technological leap will reverberate throughout the blockchain landscape and beyond, establishing a new benchmark for data protection best practices. Other industry players will be challenged to follow SHIB's lead, raising the standard of privacy and security measures ecosystem-wide. Major centralized services holding user funds and data will face public pressure to adopt comparable protections. Over time, FHE and other advanced cryptographic techniques may become expected rather than exceptional. By daring to implement radically innovative solutions to solve pressing needs within its community, SHIB continues to demonstrate the creative thinking and technical proficiency that has fueled its meteoric rise. This ability to recognize emerging challenges and rapidly deploy state-of-the-art tools to address them solidifies SHIB's capabilities as a builder of next-generation blockchain infrastructure for the Web3 era. The Future is Private As an increasing portion of our lives and livelihoods migrate online, data privacy will become a human right no less fundamental than others we hold sacred. Those who wish to lead responsibly in this new digital age must place security and consent at the forefront of product design. By integrating the strongest encryption available today, SHIB establishes itself at the vanguard of this movement. In doing so, it has thrown down the gauntlet for all others who would claim to champion decentralization and user empowerment. Privacy by design must be the new standard if we hope to realize the full promise of an open and just digital future for all. With its latest innovation, SHIB proves itself not only a technical powerhouse, but a moral one as well - committed to building the types of technologies that protect basic liberties even as they unlock unprecedented potential. If other projects follow SHIB's pioneering lead, then perhaps the blockchain industry really can help usher in a new era defined by privacy, security and user sovereignty for all. The future remains unwritten, but it starts here. Don’t forget to like and share the story! This author is an independent contributor publishing via our brand-as-author program. Be it through direct compensation, media partnerships, or networking, the author has a vested interest in the company/ies mentioned in this story. HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYOR Vested Interest Disclosure:

Shiba Inu Ushers in a New Era of Privacy and Security for Web3

শিবা ইনু ওয়েব3-এর জন্য গোপনীয়তা এবং নিরাপত্তার নতুন যুগে প্রবেশ করছে

Shiba Inu läutet eine neue Ära der Privatsphäre und Sicherheit für Web3 ein

Shiba Inu marca el comienzo de una nueva era de privacidad y seguridad para Web3

Shiba Inu inaugure une nouvelle ère de confidentialité et de sécurité pour le Web3

शीबा इनु ने वेब3 के लिए गोपनीयता और सुरक्षा के एक नए युग की शुरुआत की

柴犬が Web3 のプライバシーとセキュリティの新時代を到来

Shiba Inu는 Web3를 위한 개인 정보 보호 및 보안의 새로운 시대를 열었습니다.

Shiba Inu inaugura uma nova era de privacidade e segurança para Web3

Сиба-ину открывает новую эру конфиденциальности и безопасности для Web3

Shiba Inu, Web3 için Yeni Gizlilik ve Güvenlik Çağının Başlangıcını Başlatıyor

Shiba Inu mở ra kỷ nguyên mới về quyền riêng tư và bảo mật cho Web3

Shiba Inu 开创了 Web3 隐私和安全的新时代

On War by Carl Von Clausewitz, is part of the HackerNoon Books Series. You can jump to any chapter in this book here . Attack on Morasses, Inundations, Woods Book VII: Chapter XIV. Attack on Morasses, Inundations, Woods Morasses, that is, impassable swamps, which are only traversed by a few embankments, present peculiar difficulties to the tactical attack, as we have stated in treating of the defence. Their breadth hardly ever admits of the enemy being driven from the opposite bank by artillery, and of the construction of a roadway across. The strategic consequence is that endeavours are made to avoid attacking them by passing round them. Where the state of culture, as in many low countries, is so great that the means of passing are innumerable, the resistance of the defender is still strong enough relatively, but it is proportionably weakened for an absolute decision, and, therefore, wholly unsuitable for it. On the other hand, if the low land (as in Holland) is aided by inundations, the resistance may become absolute, and defy every attack. This was shown in Holland in the year 1672, when, after the conquest and occupation of all the fortresses outside the margin of the inundation, 50,000 French troops became available, who,—first under Condé and then under Luxemburg,—were unable to force the line of inundation, although it was only defended by about 20,000 men. The campaign of the Prussians, in 1787, under the Duke of Brunswick, against the Dutch, ended, it is true, in a quite contrary way, as these lines were then carried by a force very little superior to the defenders, and with trifling loss; but the reason of that is to be found in the dissensions amongst the defenders from political animosities, and a want of unity in the command, and yet nothing is more certain than that the success of the campaign, that is, the advance through the last line of inundation up to the walls of Amsterdam depended on a point of such extreme nicety that it is impossible to draw any general deduction from this case. The point alluded to was the leaving unguarded the Sea of Haarlem. By means of this, the Duke turned the inundation line, and got in rear of the post of Amselvoen. If the Dutch had had a couple of armed vessels on this lake the duke would never have got to Amsterdam, for he was “au bout de son latin.” What influence that might have had on the conclusion of peace does not concern us here, but it is certain that any further question of carrying the last line of inundation would have been put an end to completely. The winter is, no doubt, the natural enemy of this means of defence, as the French have shown in 1794 and 1795, but it must be a severe winter. Woods, which are scarcely passable, we have also included amongst the means which afford the defence powerful assistance. If they are of no great depth then the assailant may force his way through by several roads running near one another, and thus reach better ground, for no one point can have any great tactical strength, as we can never suppose a wood as absolutely impassable as a river or a morass.—But when, as in Russia and Poland, a very large tract of country is nearly everywhere covered with wood, and the assailant has not the power of getting beyond it, then, certainly, his situation becomes very embarrassing. We have only to think of the difficulties he must contend with to subsist his army, and how little he can do in the depths of the forest to make his ubiquitous adversary feel his superiority in numbers. Certainly this is one of the worst situations in which the offensive can be placed. About HackerNoon Book Series: We bring you the most important technical, scientific, and insightful public domain books. This book is part of the public domain. Carl von Clausewitz (2006). On War. Urbana, Illinois: Project Gutenberg. Retrieved https://www.gutenberg.org/cache/epub/1946/pg1946-images.html This eBook is for the use of anyone anywhere at no cost and with almost no restrictions whatsoever. You may copy it, give it away or re-use it under the terms of the Project Gutenberg License included with this eBook or online at www.gutenberg.org , located at https://www.gutenberg.org/policy/license.html .

Attack on Morasses, Inundations, Woods

On War by Carl Von Clausewitz, is part of the HackerNoon Books Series. You can jump to any chapter in this book here . Inundations Book VI: Chapter XX B. Inundations Now we have still to consider inundations. As defensive means and also as phenomena in the natural world they have unquestionably the nearest resemblance to morasses. They are not common certainly; perhaps Holland is the only country in Europe where they constitute a phenomenon which makes them worth notice in connection with our object; but just that country, on account of the remarkable campaigns of 1672 and 1787, as well as on account of its important relation in itself to both France and Germany, obliges us to devote some consideration to this matter. The character of these Dutch inundations differs from ordinary swampy and impassable wet low lands in the following respects: 1. The soil itself is dry and consists either of dry meadows or of cultivated fields. 2. For purposes of irrigation or of drainage, a number of small ditches of greater or loss depth and breadth intersect the country in such a way that they may be seen running in lines in parallel directions. 3. Larger canals, inclosed by dykes and intended for irrigation, drainage, and transit of vessels, run through the country in all possible directions and are of such a size that they can only be passed on bridges. 4. The level of the ground throughout the whole district subject to inundation, lies perceptibly under the level of the sea, therefore, of course, under that of the canals. 5. The consequence of this is, that by means of cutting the dams, closing and opening the sluices, the whole country can be laid under water, so that there are no dry roads except on the tops of the dykes, all others being either entirely under water or, at least, so soaked that they become no longer fit for use. Now, if even the inundation is only three or four feet deep, so that, perhaps, for short distances it might be waded through, still even that is made impossible on account of the smaller ditches mentioned under No. 2, which are not visible. It is only where these ditches have a corresponding direction, so that we can move between two of them without crossing either, that the inundation does not constitute in effect an absolute bar to all communication. It is easy to conceive that this exception to the general obstruction can only be for short distances, and, therefore, can only be used for tactical purposes of an entirely special character. From all this we deduce 1. That the assailant’s means of moving are limited to a more or less small number of practicable lines, which run along very narrow dykes, and usually have a wet ditch on the right and left, consequently form very long defiles. 2. That every defensive preparation upon such a dam may be easily strengthened to such a degree as to become impregnable. 3. But that, because the defensive is so hemmed in, he must confine himself to the most passive resistance as respects each isolated point, and consequently must look for his safety entirely from passive resistance. 4. That in such a country it is not a system of a single defensive line, closing the country like a simple barrier, but that as in every direction the same obstacle to movement exists, and the same security for flanks may be found, new posts may incessantly be formed, and in this manner any portion of the first defensive line, if lost, may be replaced by a new piece. We may say that the number of combinations here, like those on a chessboard, are infinite. 5. But while this general condition of a country is only conceivable along with the supposition of a high degree of cultivation and a dense population, it follows of itself that the number of passages, and therefore the number of posts required or their defence, must be very great in comparison to other strategetic dispositions; from which again we have, as a consequence, that such a defensive line must not be long. The principal line of defence in Holland is from Naarden on the Zuyder Zee (the greater part of the way behind the Vecht), to Gorcum on the Waal, that is properly to the Biesbosch, its extent being about eight miles. For the defence of this line a force of 25,000 to 30,000 was employed in 1672, and again in 1787. If we could reckon with certainty upon an invincible resistance, the results would certainly be very great, at least for the provinces of Holland lying behind that line. In 1672 the line actually withstood very superior forces led by great generals, first Condé, and afterwards Luxembourg, who had under their command 40,000 to 50,000 men, and yet would not assault, preferring to wait for the winter, which did not prove severe enough. On the other hand, the resistance which was made on this first line in 1787 amounted to nothing, and even that which was made by a second line much shorter, between the Zuyder Zee and the lake of Haarlem, although somewhat more effective, was overcome by the Duke of Brunswick in one day, through a very skilful tactical disposition well adapted to the locality, and this although the Prussian force actually engaged in the attack was little, if at all, superior in numbers to the troops guarding the lines. The different result in the two cases is to be attributed to the difference in the supreme command. In the year 1672 the Dutch were surprised by Louis XIV., while everything was on a peace establishment, in which, as is well known, there breathed very little military spirit as far as concerned land forces. For that reason the greater number of the fortresses were deficient in all articles of material and equipment, garrisoned only by weak bodies of hired troops, and defended by governors who were either native-born incapables, or treacherous foreigners. Thus all the Brandenburg fortresses on the Rhine, garrisoned by Dutch, as well as all their own places situated to the east of the line of defence above described, except Groningen, very soon fell into the hands of the French, and for the most part without any real defence. And in the conquest of this great number of places consisted the chief exertions of the French army, 150,000 strong, at that time. But when, after the murder of the brothers De Witt, in August 1672, the Prince of Orange came to the head of affairs, bringing unity to the measures for national defence, there was still time to close the defensive line above-mentioned, and all the measures then adopted harmonised so well with each other that neither Condé nor Luxembourg, who commanded the French armies left in Holland after the departure of the two armies under Turenne and Louis in person, would venture to attempt anything against the separate posts. In the year 1787 all was different. It was not the Republic of seven united provinces, but only the province of Holland which had to resist the invasion. The conquest of all the fortresses, which had been the principal object in 1672, was therefore not the question; the defence was confined at once to the line we have described. But the assailant this time, instead of 150,000 men, had only 25,000, and was no mighty sovereign of a great country adjoining Holland, but the subordinate general of a distant prince, himself by no means independent in many respects. The people in Holland, like those everywhere else at that time, were divided into two parties, but the republican spirit in Holland was decidedly predominant, and had at the same time attained even to a kind of enthusiastic excitement. Under these circumstances the resistance in the year 1787 ought to have ensured at least as great results as that of 1672. But there was one important difference, which is, that in the year 1787 unity of command was entirely wanting. What in 1672 had been left to the wise, skilful, and energetic guidance of the Prince of Orange, was entrusted to a so called Defence Commission in 1787, which although it included in its number men of energy, was not in a position to infuse into its work the requisite unity of measures, and to inspire others with that confidence which was wanted to prevent the whole instrument from proving imperfect and inefficient in use. We have dwelt for a moment on this example, in order to give more distinctness to the conception of this defensive measure, and at the same time to show the difference in the effects produced, according as more or less unity and sequence prevail in the direction of the whole. Although the organisation and method of defence of such a defensive line are tactical subjects, still, in connection with the latter, which is the nearest allied to strategy, we cannot omit to make an observation to which the campaign of 1787 gives occasion. We think, namely, that however passive the defence must naturally be at each point in a line of this kind, still an offensive action from some one point of the line is not impossible, and may not be unproductive of good results if the enemy, as was the case in 1787, is not decidedly very superior. For although such an attack must be executed by means of dykes, and on that account cannot certainly have the advantage of much freedom of movement or of any great impulsive force, nevertheless, it is impossible for the offensive side to occupy all the dykes and roads which he does not require for his own purposes, and therefore the defensive with his better knowledge of the country, and being in possession of the strong points, should be able by some of the unoccupied dykes to effect a real flank attack against the columns of the assailant, or to cut them off from their sources of supply. If now, on the other hand, we reflect for a moment on the constrained position in which the assailant is placed, how much more dependent he is on his communications than in almost any other conceivable case, we may well imagine that every sally on the part of the defensive side which has the remotest possibility of success must at once as a demonstration be most effective. We doubt very much if the prudent and cautious duke of Brunswick would have ventured to approach Amsterdam if the Dutch had only made such a demonstration, from Utrecht for instance. About HackerNoon Book Series: We bring you the most important technical, scientific, and insightful public domain books. This book is part of the public domain. Carl von Clausewitz (2006). On War. Urbana, Illinois: Project Gutenberg. Retrieved https://www.gutenberg.org/cache/epub/1946/pg1946-images.html This eBook is for the use of anyone anywhere at no cost and with almost no restrictions whatsoever. You may copy it, give it away or re-use it under the terms of the Project Gutenberg License included with this eBook or online at www.gutenberg.org , located at https://www.gutenberg.org/policy/license.html .

The Inundations

Fifteen years ago, crypto wasn’t on the mainstream media’s radar; but today, it frequently captures the spotlight on drive-time, lunch-time, and evening news channels, drawing both seasoned investors and curious newcomers into its orbit. While it’s exciting to witness this once-niche market gaining traction as the flood of crypto headlines inundate our newsfeeds, we have to ask: can we have too much of a good thing? Taking note of every headline as the ticker goes up; and down (sometimes multiple times a day) would be akin to suffering from investor whiplash… Sensationalism vs. substance Crypto headlines often oscillate between extremes. A prime example of this is a headline that read “Ethereum price lags”; while another read “Ethereum trader strikes gold as prices soar…” From exuberant predictions around astronomical gains to dire warnings of impending collapse - and everything in between - it can be hard to make head or tail of what’s actually going on. A broader view of crypto investment takes into account the long-term fundamentals that drive crypto adoption and value, including technological innovation, adoption by institutions and mainstream users, regulatory developments, macroeconomic trends, and societal acceptance. When investors read too much into market sentiment fueled only by headlines, they risk making short-sighted investment decisions fuelled by market manipulation and short-term noise. Understanding the broader context: the crypto market cycle “Do your own research" (DYOR) is a cardinal rule in investment circles, underlining the importance of doing your own independent analysis and due diligence before making financial decisions. In the dynamic world of crypto, this mantra holds particular significance where relying solely on hearsay (including mainstream media narratives) or social media hype can lead investors astray, exposing them to unnecessary risks and potential losses. To navigate the crypto landscape effectively, astute investors are those who have taken the time to understand the nuances of Bitcoin’s market cycle (and its effect on altcoins such as Ethereum). This four-year cycle is often referred to as the ‘halving cycle’ and has been historically closely linked to price, with the cycle progressing through ‘Bull’ (rising prices); ‘Bear’ (falling prices); ‘Accumulation’ (a leveling out of prices) and ‘Expansion’ (steady growth). Importantly, within each of these phases, there might be rallies, reactions, and a lot of volatility on (hopefully) the way up. Disclaimer: Crypto is volatile, carries risk and the value can go up and down. Past performance is not an indicator of future returns. Please DO YOUR OWN RESEARCH! Back to basics: time-tested investment strategies Amidst a frenzy of post-halving headlines, investor disappointment around the absence of immediate spikes in price is real, but now is not the time to abandon proven investment principles. Instead, investors should anchor their strategies in time-tested approaches designed to weather market volatility: Dollar-cost averaging (DCA): Embrace the discipline of regularly investing fixed amounts, irrespective of market conditions. DCA mitigates the impact of short-term price fluctuations by averaging out costs over time and promoting a steady accumulation of assets.


The Hold-On-for-Dear-Life (HODL) strategy: In a market rife with volatility, the HODL mantra focuses on the importance of long-term conviction over short-term speculation. By focusing on the intrinsic value and fundamentals of assets, rather than succumbing to market hysteria, investors can cultivate their resilience.


Diversification: Diversification remains a cornerstone of sound investment practice, and sees investors spread investments across different assets (such as types of coins) to minimize risk from volatile market swings. A diversified portfolio fosters resilience and safeguards against unforeseen market turbulence. Don’t let hype eclipse substance! While an influx of crypto headlines signifies exciting maturation of the digital asset ecosystem, excessive fixation on sensational news can prove highly detrimental to investors' long-term success. By exercising discernment amidst the noise, understanding the broader market context, and adhering to time-tested investment strategies, investors can navigate the crypto landscape with confidence. Fifteen years ago, crypto wasn’t on the mainstream media’s radar; but today, it frequently captures the spotlight on drive-time, lunch-time, and evening news channels, drawing both seasoned investors and curious newcomers into its orbit. crypto While it’s exciting to witness this once-niche market gaining traction as the flood of crypto headlines inundate our newsfeeds, we have to ask: can we have too much of a good thing? Taking note of every headline as the ticker goes up; and down (sometimes multiple times a day) would be akin to suffering from investor whiplash… Sensationalism vs. substance Sensationalism vs. substance Crypto headlines often oscillate between extremes. A prime example of this is a headline that read “Ethereum price lags”; while another read “Ethereum trader strikes gold as prices soar…” From exuberant predictions around astronomical gains to dire warnings of impending collapse - and everything in between - it can be hard to make head or tail of what’s actually going on. actually A broader view of crypto investment takes into account the long-term fundamentals that drive crypto adoption and value, including technological innovation, adoption by institutions and mainstream users, regulatory developments, macroeconomic trends, and societal acceptance. When investors read too much into market sentiment fueled only by headlines, they risk making short-sighted investment decisions fuelled by market manipulation and short-term noise. Understanding the broader context: the crypto market cycle Understanding the broader context: the crypto market cycle “Do your own research" (DYOR) is a cardinal rule in investment circles, underlining the importance of doing your own independent analysis and due diligence before making financial decisions. In the dynamic world of crypto, this mantra holds particular significance where relying solely on hearsay (including mainstream media narratives) or social media hype can lead investors astray, exposing them to unnecessary risks and potential losses. To navigate the crypto landscape effectively, astute investors are those who have taken the time to understand the nuances of Bitcoin’s market cycle (and its effect on altcoins such as Ethereum). This four-year cycle is often referred to as the ‘halving cycle’ and has been historically closely linked to price, with the cycle progressing through ‘Bull’ (rising prices); ‘Bear’ (falling prices); ‘Accumulation’ (a leveling out of prices) and ‘Expansion’ (steady growth). Importantly, within each of these phases, there might be rallies, reactions, and a lot of volatility on (hopefully) the way up. Disclaimer: Crypto is volatile, carries risk and the value can go up and down. Past performance is not an indicator of future returns. Please DO YOUR OWN RESEARCH! Disclaimer: Crypto is volatile, carries risk and the value can go up and down. Past performance is not an indicator of future returns. Please DO YOUR OWN RESEARCH! Back to basics: time-tested investment strategies Back to basics: time-tested investment strategies Amidst a frenzy of post-halving headlines, investor disappointment around the absence of immediate spikes in price is real, but now is not the time to abandon proven investment principles. Instead, investors should anchor their strategies in time-tested approaches designed to weather market volatility: absence of immediate spikes in price Dollar-cost averaging (DCA): Embrace the discipline of regularly investing fixed amounts, irrespective of market conditions. DCA mitigates the impact of short-term price fluctuations by averaging out costs over time and promoting a steady accumulation of assets. The Hold-On-for-Dear-Life (HODL) strategy: In a market rife with volatility, the HODL mantra focuses on the importance of long-term conviction over short-term speculation. By focusing on the intrinsic value and fundamentals of assets, rather than succumbing to market hysteria, investors can cultivate their resilience. Diversification: Diversification remains a cornerstone of sound investment practice, and sees investors spread investments across different assets (such as types of coins) to minimize risk from volatile market swings. A diversified portfolio fosters resilience and safeguards against unforeseen market turbulence. Dollar-cost averaging (DCA): Embrace the discipline of regularly investing fixed amounts, irrespective of market conditions. DCA mitigates the impact of short-term price fluctuations by averaging out costs over time and promoting a steady accumulation of assets. Dollar-cost averaging (DCA): Embrace the discipline of regularly investing fixed amounts, irrespective of market conditions. DCA mitigates the impact of short-term price fluctuations by averaging out costs over time and promoting a steady accumulation of assets. Dollar-cost averaging (DCA): The Hold-On-for-Dear-Life (HODL) strategy: In a market rife with volatility, the HODL mantra focuses on the importance of long-term conviction over short-term speculation. By focusing on the intrinsic value and fundamentals of assets, rather than succumbing to market hysteria, investors can cultivate their resilience. The Hold-On-for-Dear-Life (HODL) strategy: In a market rife with volatility, the HODL mantra focuses on the importance of long-term conviction over short-term speculation. By focusing on the intrinsic value and fundamentals of assets, rather than succumbing to market hysteria, investors can cultivate their resilience. The Hold-On-for-Dear-Life (HODL) strategy: Diversification: Diversification remains a cornerstone of sound investment practice, and sees investors spread investments across different assets (such as types of coins) to minimize risk from volatile market swings. A diversified portfolio fosters resilience and safeguards against unforeseen market turbulence. Diversification: Diversification remains a cornerstone of sound investment practice, and sees investors spread investments across different assets (such as types of coins) to minimize risk from volatile market swings. A diversified portfolio fosters resilience and safeguards against unforeseen market turbulence. Diversification: Don’t let hype eclipse substance! While an influx of crypto headlines signifies exciting maturation of the digital asset ecosystem, excessive fixation on sensational news can prove highly detrimental to investors' long-term success. By exercising discernment amidst the noise, understanding the broader market context, and adhering to time-tested investment strategies, investors can navigate the crypto landscape with confidence.

Why Obsessing Over Crypto Headlines Is a Dangerous Investment Habit

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Why 1-Bit Transformers Will Change the World

The Power of Community in Memecoin Success

The 6 Types of Code Refactoring That Every Programmer Should Know

This paper is under CC 4.0 license. available on arxiv Authors: (1) Zhe Liu, State Key Laboratory of Intelligent Game, Beijing, China Institute of Software Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China; (2) Chunyang Chen, Monash University, Melbourne, Australia; (3) Junjie Wang, State Key Laboratory of Intelligent Game, Beijing, China Institute of Software Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China & Corresponding author; (4) Mengzhuo Chen, State Key Laboratory of Intelligent Game, Beijing, China Institute of Software Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China; (5) Boyu Wu, State Key Laboratory of Intelligent Game, Beijing, China Institute of Software Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China; (6) Zhilin Tian, State Key Laboratory of Intelligent Game, Beijing, China Institute of Software Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China; (7) Yuekai Huang, State Key Laboratory of Intelligent Game, Beijing, China Institute of Software Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China; (8) Jun Hu, State Key Laboratory of Intelligent Game, Beijing, China Institute of Software Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China; (9) Qing Wang, State Key Laboratory of Intelligent Game, Beijing, China Institute of Software Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China & Corresponding author. Table of Links Abstract and Introduction Motivational Study and Background Approach Experiment Design Results and Analysis Discussion and Threats to Validity Related Work Conclusion and References ABSTRACT Mobile applications have become a ubiquitous part of our daily life, providing users with access to various services and utilities. Text input, as an important interaction channel between users and applications, plays an important role in core functionality such as search queries, authentication, messaging, etc. However, certain special text (e.g., -18 for Font Size) can cause the app to crash, and generating diversified unusual inputs for fully testing the app is highly demanded. Nevertheless, this is also challenging due to the combination of explosion dilemma, high context sensitivity, and complex constraint relations. This paper proposes InputBlaster which leverages the LLM to automatically generate unusual text inputs for mobile app crash detection. It formulates the unusual inputs generation problem as a task of producing a set of test generators, each of which can yield a batch of unusual text inputs under the same mutation rule. In detail, InputBlaster leverages LLM to produce the test generators together with the mutation rules serving as the reasoning chain, and utilizes the in-context learning schema to demonstrate the LLM with examples for boosting the performance. InputBlaster is evaluated on 36 text input widgets with cash bugs involving 31 popular Android apps, and results show that it achieves 78% bug detection rate, with 136% higher than the best baseline. Besides, we integrate it with the automated GUI testing tool and detect 37 unseen crashes in real-world apps from Google Play. KEYWORDS Android GUI testing, Large language model, In-context learning 1 INTRODUCTION Mobile applications (apps) have become an indispensable component of our daily lives, enabling instant access to a myriad of services, information, and communication platforms. The increasing reliance on these applications necessitates a high standard of quality and performance to ensure user satisfaction and maintain a competitive edge in the fast-paced digital landscape. The ubiquity of mobile applications has led to a constant need for rigorous testing and validation to ensure their reliability and resilience against unexpected user inputs. Text input plays a crucial role in the usability and functionality of mobile applications, serving as a primary means for users to interact with and navigate these digital environments [43, 44]. From search queries and form submissions to instant messaging and content creation, text input is integral to the core functionality of numerous mobile applications across various domains. The seamless handling of text input is essential for delivering a positive user experience, as it directly impacts the ease of use, efficiency, and overall satisfaction of the users. Given the unexpected input, the program might suffer from memory leakage, data corruption, falling into the dead loop, resulting in the application stuck, crash, or other serious issues [14, 27, 28, 63]. Even worse, these buggy texts can only demonstrate a tiny difference from the normal text, or they themselves are normal text in other contexts, which makes the issue easily occur and difficult to spot. There has been a fair amount in the news about the crash of iOS and Android systems caused by a special text input [1], which has greatly affected people’s daily lives. For example, in July 2020, a specific character of the Indian language caused iOS devices constantly crash. It has affected a wide range of iOS applications, including iMessage, WhatsApp, and Facebook Messenger [2], and as long as certain text inputs contain the character, these apps would crash. Taken in this sense, automatically generating unusual inputs for fully testing the input widgets and uncovering bugs is highly demanded. Existing automated GUI testing techniques focus on generating the valid text input for passing the GUI page and conducting the follow-up page exploration [6, 8, 27, 43, 44, 62, 63], e.g., QTypist [44] used GPT-3 to generate semantic input text to improve the coverage of the test. They could not be easily adapted to this task, since the unusual inputs can be more diversified and follow different rationales from the valid inputs. There are also studies targeting at generating strings that violate the constraints (e.g., string length) with heuristic analysis or finite state automaton techniques [37, 42, 64]. Yet they are designed for specific string functions like concatenation and replacement, and could not be generalized in this task. Nevertheless, it is very challenging for the automatic generation of diversified unusual inputs. The first challenge is the combination explosion. There can be numerous input formats including text, number, date, time, currency, and innumerable settings, e.g., different character sets, languages and text lengths, which makes it quite difficult if not impossible to enumerate all these variants. The second challenge is context sensitivity. The unusual inputs should closely relate to the context of the input widgets to effectively trigger the bug, e.g., a negative value for font size (as shown in Figure 1), an extremely large number to potentially violate the widget for people’s height. The third challenge is the constraint relation within and among the input widgets. The constraints can be that a widget only accepts pure numbers (without characters), or the sum of item values smaller/bigger than the total (as shown in Figure 1), which requires an exact understanding of the related widgets and these constraints so as to generate targeted variation. What’s more difficult is that certain constraints only appear when interacting with the apps (i.e., dynamic hints in terms of the incorrect texts), and static analysis cannot capture these circumstances. Large Language Models (LLMs) [10, 17, 58, 66, 70] trained on ultra-large-scale corpus have exhibited promising performance in a wide range of tasks. ChatGPT[58], developed by OpenAI, is one such LLM with an impressive 175 billion parameters, trained on a vast dataset. Its ability to comprehend and generate text across various domains is a testament to the potential of LLMs in interacting with humans as knowledgeable experts. The success of ChatGPT is a clear indication that LLMs can understand human knowledge and can do well in providing answers to various questions. Inspired by the fact that the LLM has made outstanding progress in email reply, abstract extraction, etc. [10, 16, 35, 68], we propose an approach, InputBlaster[1] , to automatically generate the unusual text inputs with LLM which uncover the bugs[2] related to the text input widgets. Instead of directly generating the unusual inputs by LLM which is of low efficiency, we formulate the unusual inputs generation problem as a task of producing a set of test generators (a code snippet), each of which can yield a batch of unusual text inputs under the same mutation rule (i.e., insert special characters into a string), as demonstrated in Figure 4 ⑤. To achieve this, InputBlaster leverages LLM to produce the test generators together with the mutation rules which serve as the reasoning chains for boosting the performance. In detail, InputBlaster first leverages LLM to generate the valid input which can pass the GUI page and serves as the target for the follow-up mutation (Module 1). Based on it, it then leverages LLM to produce mutation rules, and asks the LLM to follow those mutation rules and produce the test generator, each of which can yield a batch of unusual text inputs (Module 2). To further boost the performance, we utilize the in-context learning schema to demonstrate the LLM with useful examples from online issue reports and historical running records (Module 3). To evaluate the effectiveness of InputBlaster, we carry out experiments on 36 text input widgets with cash bugs involving 31 popular Android apps in Google Play. Compared with 18 common-used and state-of-the-art baselines, InputBlaster can achieve more than 136% boost in bug detection rate compared with the best baseline, resulting in 78% bugs being detected. In order to further understand the role of each module and sub-module of the approach, we conduct ablation experiments to further demonstrate its effectiveness. We also evaluate the usefulness of InputBlaster by integrating it with the automated GUI testing tool and detecting unseen crash bugs in real-world apps from Google Play. Among 131 apps, InputBlaster detects 37 new crash bugs with 28 of them being confirmed and fixed by developers, while the remaining are still pending. The contributions of this paper are as follows: • We are the first to propose a novel LLM-based approach InputBlaster for the automatic generation of unusual text inputs for mobile app testing. • We conduct the first empirical categorization of the constraint relationships within and among text input widgets, which provides clues for the LLM in effective mutation, and facilitates the follow-up studies on this task. • We carry out the effectiveness and usefulness evaluation of InputBlaster, with a promising performance largely outperforming baselines and 37 new detected bugs. [1] Our approach is named as InputBlaster considering it likes a blaster which ignites the following production of the unusual inputs. [2] Note that, like existing studies [38, 40, 53], this paper focuses on the crash bug, which usually causes more serious effects and can be automatically observed, and we interchangeably use the term bug and crash.

Leveraging LLMs for Generation of Unusual Text Inputs in Mobile App Tests: Abstract and Introduction

Learn to enhance your maintainability with generics and custom interfaces in C#. Discover a better approach on Day 29 of our 30-Day .NET Challenge. Introduction Developers often tend to add unnecessary boxing in the code which can hamper application performance. The article demonstrates both inefficient and efficient approaches to avoid the issue. Learning Objectives What is Boxing
Why non-generic interface approach is inefficient
A recommended approach using generics Prerequisites for Developers Basic understanding of C# programming language. 30 Day .Net Challenge Getting Started What is Boxing? Boxing is the process of converting a value type into an object type. In other words, it means the allocation of objects on a heap rather than a stack. Therefore, a performance overhead because of increased memory usage and the need for garbage collection. Why non-generic interface approach is inefficient In the following scenario, each time a value is assigned to values, it undergoes boxing which can make your application suffer from performance pressure. public interface INumber
    {
        object Value { get; set; }
    }
    
    public class Number : INumber
    {
        public object Value { get; set; }
    } A recommended approach using generics Please find below the refactored version of the previous code snippet using generics which allows type safety without the need for boxing. public interface INumber<T>
    {
        T Value { get; set; }
    }
    
    public class Number<T> : INumber<T> // Utilize generics to avoid boxing
    {
        public T Value { get; set; }
    } How to use Generics in practice var intNumber = new Number<int> { Value = 123 };
    var floatNumber = new Number<float> { Value = 123.45f }; Complete Code Create another class named GenericCustomInterfaces and add the following code snippet public static class GenericCustomInterfaces
    {
      static List<INumber<int>> intNumbers = new List<INumber<int>>();
      static List<INumber<double>> doubleNumbers = new List<INumber<double>>();
    
      public static void Example()
      {
          // Populate the list with integers
          for (int i = 0; i < 10; i++)
          {
              intNumbers.Add(new Number<int>(i));
          }
    
          // Populate the list with doubles
          for (double d = 0.5; d < 10.0; d += 1.0)
          {
              doubleNumbers.Add(new Number<double>(d));
          }
    
          // Process and display integer numbers
          Console.WriteLine("Integer Numbers:");
          foreach (var num in intNumbers)
          {
              Console.WriteLine(num.Value);
          }
    
          // Process and display double numbers
          Console.WriteLine("\nDouble Numbers:");
          foreach (var num in doubleNumbers)
          {
              Console.WriteLine(num.Value);
          }
      }
    } Add the interface and its class implementation as follows public interface INumber<T>
    {
        T Value { get; set; }
    }
    
    public class Number<T> : INumber<T>
    {
        public T Value { get; set; }
        public Number(T value)
        {
            Value = value;
        }
    } Execute from the main method as follows #region Day 29: Generics & Custom Interfaces
    static string ExecuteDay29()
    {
        GenericCustomInterfaces.Example();
    
        return "Executed Day 29 successfully..!!";
    }
    
    #endregion Console Output Integer Numbers:
    0
    1
    2
    3
    4
    5
    6
    7
    8
    9
    
    Double Numbers:
    0.5
    1.5
    2.5
    3.5
    4.5
    5.5
    6.5
    7.5
    8.5
    9.5 Complete Code here: GitHub — ssukhpinder/30DayChallenge.Net C# Programming🚀 Thank you for being a part of the C# community! Before you leave: Follow us: Youtube | X | LinkedIn | Dev.to
Visit our other platforms: GitHub
More content at C# Programming Learn to enhance your maintainability with generics and custom interfaces in C# . Discover a better approach on Day 29 of our 30-Day .NET Challenge. C# Introduction Developers often tend to add unnecessary boxing in the code which can hamper application performance. The article demonstrates both inefficient and efficient approaches to avoid the issue. Learning Objectives What is Boxing Why non-generic interface approach is inefficient A recommended approach using generics What is Boxing Why non-generic interface approach is inefficient A recommended approach using generics Prerequisites for Developers Basic understanding of C# programming language. Basic understanding of C# programming language. 30 Day .Net Challenge 30 Day .Net Challenge 30 Day .Net Challenge Getting Started What is Boxing? Boxing is the process of converting a value type into an object type. In other words, it means the allocation of objects on a heap rather than a stack. Therefore, a performance overhead because of increased memory usage and the need for garbage collection. Why non-generic interface approach is inefficient In the following scenario, each time a value is assigned to values, it undergoes boxing which can make your application suffer from performance pressure. public interface INumber
    {
        object Value { get; set; }
    }
    
    public class Number : INumber
    {
        public object Value { get; set; }
    } public interface INumber
    {
        object Value { get; set; }
    }
    
    public class Number : INumber
    {
        public object Value { get; set; }
    } A recommended approach using generics Please find below the refactored version of the previous code snippet using generics which allows type safety without the need for boxing. public interface INumber<T>
    {
        T Value { get; set; }
    }
    
    public class Number<T> : INumber<T> // Utilize generics to avoid boxing
    {
        public T Value { get; set; }
    } public interface INumber<T>
    {
        T Value { get; set; }
    }
    
    public class Number<T> : INumber<T> // Utilize generics to avoid boxing
    {
        public T Value { get; set; }
    } How to use Generics in practice var intNumber = new Number<int> { Value = 123 };
    var floatNumber = new Number<float> { Value = 123.45f }; var intNumber = new Number<int> { Value = 123 };
    var floatNumber = new Number<float> { Value = 123.45f }; Complete Code Create another class named GenericCustomInterfaces and add the following code snippet public static class GenericCustomInterfaces
    {
      static List<INumber<int>> intNumbers = new List<INumber<int>>();
      static List<INumber<double>> doubleNumbers = new List<INumber<double>>();
    
      public static void Example()
      {
          // Populate the list with integers
          for (int i = 0; i < 10; i++)
          {
              intNumbers.Add(new Number<int>(i));
          }
    
          // Populate the list with doubles
          for (double d = 0.5; d < 10.0; d += 1.0)
          {
              doubleNumbers.Add(new Number<double>(d));
          }
    
          // Process and display integer numbers
          Console.WriteLine("Integer Numbers:");
          foreach (var num in intNumbers)
          {
              Console.WriteLine(num.Value);
          }
    
          // Process and display double numbers
          Console.WriteLine("\nDouble Numbers:");
          foreach (var num in doubleNumbers)
          {
              Console.WriteLine(num.Value);
          }
      }
    } public static class GenericCustomInterfaces
    {
      static List<INumber<int>> intNumbers = new List<INumber<int>>();
      static List<INumber<double>> doubleNumbers = new List<INumber<double>>();
    
      public static void Example()
      {
          // Populate the list with integers
          for (int i = 0; i < 10; i++)
          {
              intNumbers.Add(new Number<int>(i));
          }
    
          // Populate the list with doubles
          for (double d = 0.5; d < 10.0; d += 1.0)
          {
              doubleNumbers.Add(new Number<double>(d));
          }
    
          // Process and display integer numbers
          Console.WriteLine("Integer Numbers:");
          foreach (var num in intNumbers)
          {
              Console.WriteLine(num.Value);
          }
    
          // Process and display double numbers
          Console.WriteLine("\nDouble Numbers:");
          foreach (var num in doubleNumbers)
          {
              Console.WriteLine(num.Value);
          }
      }
    } Add the interface and its class implementation as follows public interface INumber<T>
    {
        T Value { get; set; }
    }
    
    public class Number<T> : INumber<T>
    {
        public T Value { get; set; }
        public Number(T value)
        {
            Value = value;
        }
    } public interface INumber<T>
    {
        T Value { get; set; }
    }
    
    public class Number<T> : INumber<T>
    {
        public T Value { get; set; }
        public Number(T value)
        {
            Value = value;
        }
    } Execute from the main method as follows #region Day 29: Generics & Custom Interfaces
    static string ExecuteDay29()
    {
        GenericCustomInterfaces.Example();
    
        return "Executed Day 29 successfully..!!";
    }
    
    #endregion #region Day 29: Generics & Custom Interfaces
    static string ExecuteDay29()
    {
        GenericCustomInterfaces.Example();
    
        return "Executed Day 29 successfully..!!";
    }
    
    #endregion Console Output Integer Numbers:
    0
    1
    2
    3
    4
    5
    6
    7
    8
    9
    
    Double Numbers:
    0.5
    1.5
    2.5
    3.5
    4.5
    5.5
    6.5
    7.5
    8.5
    9.5 Integer Numbers:
    0
    1
    2
    3
    4
    5
    6
    7
    8
    9
    
    Double Numbers:
    0.5
    1.5
    2.5
    3.5
    4.5
    5.5
    6.5
    7.5
    8.5
    9.5 Complete Code here: GitHub — ssukhpinder/30DayChallenge.Net Complete Code here: GitHub — ssukhpinder/30DayChallenge.Net GitHub — ssukhpinder/30DayChallenge.Net C# Programming🚀 Thank you for being a part of the C# community! Before you leave: Follow us: Youtube | X | LinkedIn | Dev.to Visit our other platforms: GitHub More content at C# Programming Youtube X LinkedIn Dev.to GitHub C# Programming

The 30-Day .NET Challenge - Day 29: Generics & Custom Interfaces

Welcome, I'm sure you have come across something like, you don't need Lodash, Underscore or Ramda, but this is the opposite. When ES6 came, people got excited and started using native JS methods instead of using utility lib functions for various reasons like performance, size reduction, dependencies-free, etc. Context I recommend you check out this post, Introducing Our New JavaScript Standard Library, to learn more about the JS library @opentf/std, which we will be using throughout this article. Why? Let us explain why again you need to reverse it when using a standard library like @opentf/std. Works across runtime environments (Browsers, Node.js, Deno, Bun, etc.)
Consistent & Concise function names
Helpful in functions composition (Pipe or Compose)
Supports some older browsers & Node.js >=16
Avoids Polyfills Examples Let us compare some native methods vs @opentf/std functions. 1. Array.prototype.toReversed() ✅ Browsers: Baseline 2023


✅ Node.js: 20.0.0 import { reverse } from "@opentf/std";

const items = [1, 2, 3];

items.toReversed(); //=> [3, 2, 1]

reverse(items); //=> [3, 2, 1] 2. Array.prototype.toSorted() ✅ Browsers: Baseline 2023


✅ Node.js: 20.0.0 import { sort } from "@opentf/std";

const values = [1, 10, 21, 2];

values.toSorted((a, b) => b - a); //=> [ 21, 10, 2, 1 ]

sort(values, "desc"); //=> [ 21, 10, 2, 1 ] 3. Array.prototype.toSpliced() ✅ Browsers: Baseline 2023


✅ Node.js: 20.0.0 import { arrIns, arrRm, arrReplace } from "@opentf/std";

const months = ["Jan", "Mar", "Apr", "May"];

// Inserting an element at index 1
const months2 = months.toSpliced(1, 0, "Feb");
//=> ["Jan", "Feb", "Mar", "Apr", "May"]
const m2 = arrIns(months, 1, "Feb");
//=> ["Jan", "Feb", "Mar", "Apr", "May"]

// Deleting two elements starting from index 2
const months3 = months2.toSpliced(2, 2);
//=> ["Jan", "Feb", "May"]
const m3 = arrRm(m2, 2, 2);
//=> ["Jan", "Feb", "May"]

// Replacing one element at index 1 with two new elements
const months4 = months3.toSpliced(1, 1, "Feb", "Mar");
//=> ["Jan", "Feb", "Mar", "May"]
const m4 = arrReplace(m3, 1, 1, "Feb", "Mar");
//=> ["Jan", "Feb", "Mar", "May"] 4. Object.groupBy() ✅ Browsers: Baseline 2024


✅ Node.js: 21.0.0 import { groupBy } from "@opentf/std";

const inventory = [
  { name: "asparagus", type: "vegetables", quantity: 5 },
  { name: "bananas", type: "fruit", quantity: 0 },
  { name: "goat", type: "meat", quantity: 23 },
  { name: "cherries", type: "fruit", quantity: 5 },
  { name: "fish", type: "meat", quantity: 22 },
];

Object.groupBy(inventory, ({ type }) => type);
/*
{
  vegetables: [
    { name: 'asparagus', type: 'vegetables', quantity: 5 },
  ],
  fruit: [
    { name: "bananas", type: "fruit", quantity: 0 },
    { name: "cherries", type: "fruit", quantity: 5 }
  ],
  meat: [
    { name: "goat", type: "meat", quantity: 23 },
    { name: "fish", type: "meat", quantity: 22 }
  ]
}
*/

groupBy(inventory, "type");
/*
{
  vegetables: [
    { name: 'asparagus', type: 'vegetables', quantity: 5 },
  ],
  fruit: [
    { name: "bananas", type: "fruit", quantity: 0 },
    { name: "cherries", type: "fruit", quantity: 5 }
  ],
  meat: [
    { name: "goat", type: "meat", quantity: 23 },
    { name: "fish", type: "meat", quantity: 22 }
  ]
}
*/ 5. Array Unique import { uniq } from "@opentf/std";

const arr = [2, 1, 2];

[...new Set(arr)]; //=> [2, 1]

uniq(arr); //=> [2, 1] 6. Set.prototype.intersection() Here we need Set intersection method for finding intersecting values in arrays. ⚠️ Browsers: Limited availability


❌ Node.js: Not available import { intersection } from "@opentf/std";

const odds = [1, 3, 5, 7, 9];
const squares = [1, 4, 9];

const result = new Set(odds).intersection(new Set(squares));
[...result]; //=> [1, 9]

intersection([odds, squares]); //=> [1, 9] 7. Async/Await with Array.prototype.map() import { aMap } from "@opentf/std";

const arr = [1, 2, 3, 4, 5];

function multiply(n, i) {
  return Promise.resolve(n * i);
}

async function main(params) {
  // Using Promise, runs in parallel
  let result = await Promise.all(arr.map((e, i) => multiply(e, i)));
  console.log(result); //=> [ 0, 2, 6, 12, 20 ]

  // Using for...of, runs in sequence
  result = [];
  let i = 0;
  for (const n of arr) {
    result.push(await multiply(n, i));
    i++;
  }
  console.log(result); //=> [ 0, 2, 6, 12, 20 ]

  // Using aMap, runs in sequence
  result = await aMap(arr, async (n, i) => await multiply(n, i));
  console.log(result); //=> [ 0, 2, 6, 12, 20 ]
}

main(); 8. structuredClone() global function ✅ Browsers: Baseline 2022


✅ Node.js: 17.0.0 import { clone } from "@opentf/std";

const obj = {
arr: [1, 2, 3],
obj: {
a: "abc",
b: new Map([
["a", 1],
["b", 2],
]),
},
date: new Date(),
};

structuredClone(obj); // Returns a deeply clone value

clone(obj); // Returns a deeply clone value 9. Object.prototype.hasOwnProperty() & Object.hasOwn() import { has } from "@opentf/std";

const foo = Object.create(null);
foo.prop = "exists";
foo.a = { b: 1 };

foo.hasOwnProperty("prop"); // Uncaught TypeError: foo.hasOwnProperty is not a function

Object.hasOwn(foo, "prop"); //=> true
Object.hasOwn(foo, "a.b"); //=> false

has(foo, "prop"); //=> true
has(foo, "a.b"); //=> true
has(foo, "a.c"); //=> false 10. Number.isFinite() & global isFinite() import { isNum } from "@opentf/std";

Number.isFinite(Infinity); // false
Number.isFinite(NaN); // false
Number.isFinite(-Infinity); // false
Number.isFinite(0); // true
Number.isFinite(2e64); // true
Number.isFinite("0"); // false

isFinite("0"); // true; coerced to number 0

isNum(Infinity); // false
isNum(NaN); // false
isNum(-Infinity); // false
isNum(0); // true
isNum(2e64); // true
isNum("0"); // false
isNum("0", true); // true; coerced to number 0 Conclusion In this exploration of JavaScript native methods and their alternatives, we’ve discovered the power of the @opentf/std library. By replacing native functions with well-tested alternatives, developers can achieve cleaner, more efficient code. If you need to find out the performance of the lib, please check out these benchmarks. Note: Here we don't say you should stop using regular array map, filter, or reduce methods, but the external library is not bad at all and will give you some benefits from using it. As you continue your coding journey, consider adopting these alternatives and contributing to the open-source ecosystem. Remember that collaboration and community involvement play a crucial role in advancing our collective knowledge. Happy coding! 🚀 🙏 Thanks for reading. Welcome, I'm sure you have come across something like, you don't need Lodash , Underscore or Ramda , but this is the opposite . Lodash Underscore Ramda opposite When ES6 came, people got excited and started using native JS methods instead of using utility lib functions for various reasons like performance, size reduction, dependencies-free, etc. ES6 Context Context I recommend you check out this post, Introducing Our New JavaScript Standard Library , to learn more about the JS library @opentf/std , which we will be using throughout this article. Introducing Our New JavaScript Standard Library @opentf/std Why? Why? Let us explain why again you need to reverse it when using a standard library like @opentf/std . @opentf/std Works across runtime environments (Browsers, Node.js, Deno, Bun, etc.) Consistent & Concise function names Helpful in functions composition (Pipe or Compose) Supports some older browsers & Node.js >=16 Avoids Polyfills Works across runtime environments (Browsers, Node.js, Deno, Bun, etc.) Consistent & Concise function names Helpful in functions composition (Pipe or Compose) Supports some older browsers & Node.js >=16 Avoids Polyfills Examples Let us compare some native methods vs @opentf/std functions. native @opentf/std 1. Array.prototype.toReversed() 1. Array.prototype.toReversed() ✅ Browsers: Baseline 2023 ✅ Node.js: 20.0.0 ✅ Browsers: Baseline 2023 ✅ Browsers: Baseline 2023 ✅ Node.js: 20.0.0 ✅ Node.js: 20.0.0 import { reverse } from "@opentf/std";

const items = [1, 2, 3];

items.toReversed(); //=> [3, 2, 1]

reverse(items); //=> [3, 2, 1] import { reverse } from "@opentf/std";

const items = [1, 2, 3];

items.toReversed(); //=> [3, 2, 1]

reverse(items); //=> [3, 2, 1] 2. Array.prototype.toSorted() 2. Array.prototype.toSorted() ✅ Browsers: Baseline 2023 ✅ Node.js: 20.0.0 ✅ Browsers: Baseline 2023 ✅ Browsers: Baseline 2023 ✅ Node.js: 20.0.0 ✅ Node.js: 20.0.0 import { sort } from "@opentf/std";

const values = [1, 10, 21, 2];

values.toSorted((a, b) => b - a); //=> [ 21, 10, 2, 1 ]

sort(values, "desc"); //=> [ 21, 10, 2, 1 ] import { sort } from "@opentf/std";

const values = [1, 10, 21, 2];

values.toSorted((a, b) => b - a); //=> [ 21, 10, 2, 1 ]

sort(values, "desc"); //=> [ 21, 10, 2, 1 ] 3. Array.prototype.toSpliced() 3. Array.prototype.toSpliced() ✅ Browsers: Baseline 2023 ✅ Node.js: 20.0.0 ✅ Browsers: Baseline 2023 ✅ Browsers: Baseline 2023 ✅ Node.js: 20.0.0 ✅ Node.js: 20.0.0 import { arrIns, arrRm, arrReplace } from "@opentf/std";

const months = ["Jan", "Mar", "Apr", "May"];

// Inserting an element at index 1
const months2 = months.toSpliced(1, 0, "Feb");
//=> ["Jan", "Feb", "Mar", "Apr", "May"]
const m2 = arrIns(months, 1, "Feb");
//=> ["Jan", "Feb", "Mar", "Apr", "May"]

// Deleting two elements starting from index 2
const months3 = months2.toSpliced(2, 2);
//=> ["Jan", "Feb", "May"]
const m3 = arrRm(m2, 2, 2);
//=> ["Jan", "Feb", "May"]

// Replacing one element at index 1 with two new elements
const months4 = months3.toSpliced(1, 1, "Feb", "Mar");
//=> ["Jan", "Feb", "Mar", "May"]
const m4 = arrReplace(m3, 1, 1, "Feb", "Mar");
//=> ["Jan", "Feb", "Mar", "May"] import { arrIns, arrRm, arrReplace } from "@opentf/std";

const months = ["Jan", "Mar", "Apr", "May"];

// Inserting an element at index 1
const months2 = months.toSpliced(1, 0, "Feb");
//=> ["Jan", "Feb", "Mar", "Apr", "May"]
const m2 = arrIns(months, 1, "Feb");
//=> ["Jan", "Feb", "Mar", "Apr", "May"]

// Deleting two elements starting from index 2
const months3 = months2.toSpliced(2, 2);
//=> ["Jan", "Feb", "May"]
const m3 = arrRm(m2, 2, 2);
//=> ["Jan", "Feb", "May"]

// Replacing one element at index 1 with two new elements
const months4 = months3.toSpliced(1, 1, "Feb", "Mar");
//=> ["Jan", "Feb", "Mar", "May"]
const m4 = arrReplace(m3, 1, 1, "Feb", "Mar");
//=> ["Jan", "Feb", "Mar", "May"] 4. Object.groupBy() 4. Object.groupBy() ✅ Browsers: Baseline 2024 ✅ Node.js: 21.0.0 ✅ Browsers: Baseline 2024 ✅ Browsers: Baseline 2024 ✅ Node.js: 21.0.0 ✅ Node.js: 21.0.0 import { groupBy } from "@opentf/std";

const inventory = [
  { name: "asparagus", type: "vegetables", quantity: 5 },
  { name: "bananas", type: "fruit", quantity: 0 },
  { name: "goat", type: "meat", quantity: 23 },
  { name: "cherries", type: "fruit", quantity: 5 },
  { name: "fish", type: "meat", quantity: 22 },
];

Object.groupBy(inventory, ({ type }) => type);
/*
{
  vegetables: [
    { name: 'asparagus', type: 'vegetables', quantity: 5 },
  ],
  fruit: [
    { name: "bananas", type: "fruit", quantity: 0 },
    { name: "cherries", type: "fruit", quantity: 5 }
  ],
  meat: [
    { name: "goat", type: "meat", quantity: 23 },
    { name: "fish", type: "meat", quantity: 22 }
  ]
}
*/

groupBy(inventory, "type");
/*
{
  vegetables: [
    { name: 'asparagus', type: 'vegetables', quantity: 5 },
  ],
  fruit: [
    { name: "bananas", type: "fruit", quantity: 0 },
    { name: "cherries", type: "fruit", quantity: 5 }
  ],
  meat: [
    { name: "goat", type: "meat", quantity: 23 },
    { name: "fish", type: "meat", quantity: 22 }
  ]
}
*/ import { groupBy } from "@opentf/std";

const inventory = [
  { name: "asparagus", type: "vegetables", quantity: 5 },
  { name: "bananas", type: "fruit", quantity: 0 },
  { name: "goat", type: "meat", quantity: 23 },
  { name: "cherries", type: "fruit", quantity: 5 },
  { name: "fish", type: "meat", quantity: 22 },
];

Object.groupBy(inventory, ({ type }) => type);
/*
{
  vegetables: [
    { name: 'asparagus', type: 'vegetables', quantity: 5 },
  ],
  fruit: [
    { name: "bananas", type: "fruit", quantity: 0 },
    { name: "cherries", type: "fruit", quantity: 5 }
  ],
  meat: [
    { name: "goat", type: "meat", quantity: 23 },
    { name: "fish", type: "meat", quantity: 22 }
  ]
}
*/

groupBy(inventory, "type");
/*
{
  vegetables: [
    { name: 'asparagus', type: 'vegetables', quantity: 5 },
  ],
  fruit: [
    { name: "bananas", type: "fruit", quantity: 0 },
    { name: "cherries", type: "fruit", quantity: 5 }
  ],
  meat: [
    { name: "goat", type: "meat", quantity: 23 },
    { name: "fish", type: "meat", quantity: 22 }
  ]
}
*/ 5. Array Unique 5. Array Unique import { uniq } from "@opentf/std";

const arr = [2, 1, 2];

[...new Set(arr)]; //=> [2, 1]

uniq(arr); //=> [2, 1] import { uniq } from "@opentf/std";

const arr = [2, 1, 2];

[...new Set(arr)]; //=> [2, 1]

uniq(arr); //=> [2, 1] 6. Set.prototype.intersection() 6. Set.prototype.intersection() Here we need Set intersection method for finding intersecting values in arrays. Set ⚠️ Browsers: Limited availability ❌ Node.js: Not available ⚠️ Browsers: Limited availability ⚠️ Browsers: Limited availability ❌ Node.js: Not available ❌ Node.js: Not available import { intersection } from "@opentf/std";

const odds = [1, 3, 5, 7, 9];
const squares = [1, 4, 9];

const result = new Set(odds).intersection(new Set(squares));
[...result]; //=> [1, 9]

intersection([odds, squares]); //=> [1, 9] import { intersection } from "@opentf/std";

const odds = [1, 3, 5, 7, 9];
const squares = [1, 4, 9];

const result = new Set(odds).intersection(new Set(squares));
[...result]; //=> [1, 9]

intersection([odds, squares]); //=> [1, 9] 7. Async/Await with Array.prototype.map() 7. Async/Await with Array.prototype.map () Array.prototype.map import { aMap } from "@opentf/std";

const arr = [1, 2, 3, 4, 5];

function multiply(n, i) {
  return Promise.resolve(n * i);
}

async function main(params) {
  // Using Promise, runs in parallel
  let result = await Promise.all(arr.map((e, i) => multiply(e, i)));
  console.log(result); //=> [ 0, 2, 6, 12, 20 ]

  // Using for...of, runs in sequence
  result = [];
  let i = 0;
  for (const n of arr) {
    result.push(await multiply(n, i));
    i++;
  }
  console.log(result); //=> [ 0, 2, 6, 12, 20 ]

  // Using aMap, runs in sequence
  result = await aMap(arr, async (n, i) => await multiply(n, i));
  console.log(result); //=> [ 0, 2, 6, 12, 20 ]
}

main(); import { aMap } from "@opentf/std";

const arr = [1, 2, 3, 4, 5];

function multiply(n, i) {
  return Promise.resolve(n * i);
}

async function main(params) {
  // Using Promise, runs in parallel
  let result = await Promise.all(arr.map((e, i) => multiply(e, i)));
  console.log(result); //=> [ 0, 2, 6, 12, 20 ]

  // Using for...of, runs in sequence
  result = [];
  let i = 0;
  for (const n of arr) {
    result.push(await multiply(n, i));
    i++;
  }
  console.log(result); //=> [ 0, 2, 6, 12, 20 ]

  // Using aMap, runs in sequence
  result = await aMap(arr, async (n, i) => await multiply(n, i));
  console.log(result); //=> [ 0, 2, 6, 12, 20 ]
}

main(); 8. structuredClone() global function 8. structuredClone() global function ✅ Browsers: Baseline 2022 ✅ Node.js: 17.0.0 ✅ Browsers: Baseline 2022 ✅ Browsers: Baseline 2022 ✅ Node.js: 17.0.0 ✅ Node.js: 17.0.0 import { clone } from "@opentf/std";

const obj = {
arr: [1, 2, 3],
obj: {
a: "abc",
b: new Map([
["a", 1],
["b", 2],
]),
},
date: new Date(),
};

structuredClone(obj); // Returns a deeply clone value

clone(obj); // Returns a deeply clone value import { clone } from "@opentf/std";

const obj = {
arr: [1, 2, 3],
obj: {
a: "abc",
b: new Map([
["a", 1],
["b", 2],
]),
},
date: new Date(),
};

structuredClone(obj); // Returns a deeply clone value

clone(obj); // Returns a deeply clone value 9. Object.prototype.hasOwnProperty() & Object.hasOwn() 9. Object.prototype.hasOwnProperty() & Object.hasOwn() import { has } from "@opentf/std";

const foo = Object.create(null);
foo.prop = "exists";
foo.a = { b: 1 };

foo.hasOwnProperty("prop"); // Uncaught TypeError: foo.hasOwnProperty is not a function

Object.hasOwn(foo, "prop"); //=> true
Object.hasOwn(foo, "a.b"); //=> false

has(foo, "prop"); //=> true
has(foo, "a.b"); //=> true
has(foo, "a.c"); //=> false import { has } from "@opentf/std";

const foo = Object.create(null);
foo.prop = "exists";
foo.a = { b: 1 };

foo.hasOwnProperty("prop"); // Uncaught TypeError: foo.hasOwnProperty is not a function

Object.hasOwn(foo, "prop"); //=> true
Object.hasOwn(foo, "a.b"); //=> false

has(foo, "prop"); //=> true
has(foo, "a.b"); //=> true
has(foo, "a.c"); //=> false 10. Number.isFinite() & global isFinite() 10. Number.isFinite() & global isFinite() import { isNum } from "@opentf/std";

Number.isFinite(Infinity); // false
Number.isFinite(NaN); // false
Number.isFinite(-Infinity); // false
Number.isFinite(0); // true
Number.isFinite(2e64); // true
Number.isFinite("0"); // false

isFinite("0"); // true; coerced to number 0

isNum(Infinity); // false
isNum(NaN); // false
isNum(-Infinity); // false
isNum(0); // true
isNum(2e64); // true
isNum("0"); // false
isNum("0", true); // true; coerced to number 0 import { isNum } from "@opentf/std";

Number.isFinite(Infinity); // false
Number.isFinite(NaN); // false
Number.isFinite(-Infinity); // false
Number.isFinite(0); // true
Number.isFinite(2e64); // true
Number.isFinite("0"); // false

isFinite("0"); // true; coerced to number 0

isNum(Infinity); // false
isNum(NaN); // false
isNum(-Infinity); // false
isNum(0); // true
isNum(2e64); // true
isNum("0"); // false
isNum("0", true); // true; coerced to number 0 Conclusion Conclusion In this exploration of JavaScript native methods and their alternatives, we’ve discovered the power of the @opentf /std library. @opentf By replacing native functions with well-tested alternatives, developers can achieve cleaner, more efficient code. If you need to find out the performance of the lib, please check out these benchmarks . benchmarks Note: Here we don't say you should stop using regular array map , filter , or reduce methods, but the external library is not bad at all and will give you some benefits from using it. Note: map filter reduce As you continue your coding journey, consider adopting these alternatives and contributing to the open-source ecosystem. Remember that collaboration and community involvement play a crucial role in advancing our collective knowledge. Happy coding! 🚀 🙏 Thanks for reading.

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