This confirmation of earlier reports is part of ongoing efforts by Paris to mend its damaged but “essential” diplomatic ties with Rabat.

France Confirms Interest in Morocco’s Development Projects in Southern Provinces

The separatist Polisario Front faces another setback at the UN level as France, a permanent member of the UN Security Council, has announced plans for investments in Morocco’s southern provinces in Western Sahara.

Investments in Southern Provinces: Polisario Receives New Setback from UN

Gaza war has postponed Netanyahu&#x27;s visit to Rabat and disrupted relations between the two states as anti-normalisation sentiment escalates in Morocco.

Gaza war sabotages booming Israeli-Moroccan relations

A revision of the family code is expected in the country, with associations calling for systematic recognition of paternity through DNA testing.

In Morocco, newborn baby trafficking rekindles debate on abandonments

In Essaouira, a coastal Moroccan city with a rich Jewish history, Yoshiyahu arrived to pay respects at the grave of Rabbi Chaim Pinto (the Great).

Morocco is safer for Jews than Europe, US: Rabbi Pinto

Morocco has a lot of waves, and even more surfers. So, when Juliette Lacome decided to fly south from France for some long right points, she knew exactly who to call to dial her in: Othmane Choufani. In the edit above, Choufani and Lacome navigate sponges, speedbumps, and fairly hectic ...

Watch: Othmane Choufani Rolls Out the Red Carpet for Juliette Lacome in Morocco

Surf News, Fantasy Surfer, Photos, Video and Forecasting

Watch: Othmane Choufani Rolls Out the Red Carpet for Juliette Lacome in 
Morocco

The Moroccan government is in talks to attract more electric battery manufacturers as it seeks to adapt its growing automotive sector to an increasing demand for electric vehicles, industry and trade minister Ryad Mezzour said.

Morocco expects more EV battery investments, minister says | Reuters

Morocco’s government has reiterated its firm and steadfast position on the Western Sahara dispute, stressing that it won’t accept any solution outside the framework of the Moroccan Autonomy Plan.

Moroccan Government: No Solution To Western Sahara Outside Morocco’s Autonomy Plan

Moroccan government spokesperson has again reassured citizens about the price of gas cylinders, affirming that this basic commodity’s price has not been subject to increases as of now.

Gas Cylinders: Moroccan Government Confirms No Prices Increases Implemented Yet

Moropo

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Startups of The Year 2023 Winners: Europe

The Internet is only nearly 25 years old. In my mind, the Internet has been normal since Google appeared in 1998. That was 26 years ago. Since it was born, there have been a lot of exciting things that were hard to even imagine until they took off and finally came. In the first 10 years of the Internet, people came up with blockchain and cryptocurrency. They later figured out how neural networks and machine learning could be used effectively to solve complex modern problems. If you don’t know, the neural network finds patterns in arrays of information and builds on these patterns to create new information that we need. Development of AI model In general, a neural network is a model—a set of files representing algorithms and tables that together form what, in some sense, can be called artificial intelligence. Development is taking place in several directions, including developing more optimal algorithms and increasing the size of the tables. The latest existing models are of such a size that it would not take 1000 years to train this on a single video card. However, all models today are centralized, and it is the responsibility of a specific person or organization to train them. So only the TOP players like Amazon, Google, Facebook, and Microsoft can afford to train the biggest models nowadays. Ordinary people have to make do with models that are, on average, 100-1000 times smaller than the top models available to these companies. The Concept of Decentralization In 2008, the first decentralized blockchain appeared. The essence was that any user could receive virtual coins to help maintain the virtual network at the expense of computing resources on his or her computer. The properties of this network also allowed the transfer of these coins to each other, which allowed this network to eventually grow into a whole financial system based on mining, decentralization, and encryption. The pros of this approach primarily represent the possibility of cross-border, uncensored payments that occur with nothing more than the Internet and the processing power of the network's computers. Think about it—there are only 2 factors—the Internet and computer processing power. That's all it took to create a whole new financial system, and that's just the first 10 years of the Internet. Decentralization of AI Decentralization means the absence of the main person or entity. The main thing about decentralization is the consensus among the smallest units of the system. With this consensus, we can build more than a new financial system. Let's imagine for a moment that mining could create something more than just wasting resources to keep the network running in search of a random number. What if each miner computed a small part of a huge artificial intelligence model on his working machine without having to train the whole model? The essence of this idea is to efficiently distribute the training, using the computing resources of different machines - from video cards to ASICs, to obtain a fully complete model or even for its constant additional training on new and new data sets. Miners would receive certain coins to train the model, which could be used in the future to use the computing resources of the AI model. At some point, the model would be fully trained, and it would seem that anyone could download it to a computer for free, but they would never have the resources to run it themselves. The same mining is required to run the model. One person requests the network, and the network issues a response. It will be like working with the ChatGPT-4 API. Each request would cost the user a few tokens, depending on the rates of the miners. The miners collectively decentralize these requests and produce the results. There could be a myriad of models, and they could all exist on a single blockchain in the form of smart contracts. Namely, someone—a person or a group of people—creates an AI as a smart contract in the blockchain network, attracts people to train it, and then earns money together to keep the model running. Implications of Decentralized AI If such a system is created, the largest companies will lose the status of monopoly on owning the largest AI models in the world. Very soon, the largest AI models will exist in a decentralized way and in no other way. Joint use of huge amounts of computing resources will very soon produce more useful work in total than separate supercomputers of TOP IT companies. This is the next step in the development of technology and the next step towards full autonomy of everyone, rather than dependence on the strongest. The flow of technology available today is gradually increasing the capabilities of everyone on the planet. Over time, everyone's autonomy will only increase. We can get endless amounts of information from the Internet on any topic we want. We can get energy in our homes thanks to solar panels. Decentralized money came unexpectedly to everyone and many people have not even understood its essence yet, but the consequences are huge. Perhaps in the future, there will even be an analog of the free, decentralized Internet. And the future artificial intelligence will be in everyone's home and will not belong to anyone, helping with household chores or working in your garden. Now we have entered a time when we need to develop these decentralized technologies and just let artificial intelligence grow and grow exponentially larger and larger, just like the computing power of the Bitcoin network is growing. What do I think about Internet Computer Protocol (ICP)? ICP is pushing boundaries in decentralized AI with some genuinely unique features that aren't just hype—they're solving real problems. First is data privacy. In the traditional AI world, data is usually funneled through centralized servers, which can be a goldmine for breaches. ICP changes the game by processing data across a decentralized network of nodes. No central server means your data isn’t sitting in one big vulnerable target. This setup is particularly important for sensitive applications like healthcare AI, where privacy isn’t just nice to have—it’s mandatory. Another area where ICP shines is in its governance. Most AI platforms are controlled by a handful of big players, leading to decisions that prioritize profit over progress. ICP flips this on its head with a community-driven governance model. Developers and users have a real voice in how the network operates. It’s not just lip service to the idea of decentralization; it’s putting power back into the hands of the people who actually build and use these AI tools. Then there's the technical side—ICP’s architecture supports what you might call "true decentralization". Many so-called decentralized AI platforms still rely on traditional cloud infrastructure at some level. ICP eliminates the middleman, running AI applications directly on a decentralized web. This isn't just an incremental improvement. It’s a foundational shift that reduces dependency on any single provider and ensures continuous uptime. And let's talk about speed and efficiency. AI workloads are demanding, and ICP's ability to scale computation independently from storage is a big deal. In essence, ICP is pioneering a new way forward for decentralized AI by addressing the core issues—privacy, governance, true decentralization, and technical flexibility—that have held back the field. The Internet is only nearly 25 years old. In my mind, the Internet has been normal since Google appeared in 1998. That was 26 years ago. Since it was born, there have been a lot of exciting things that were hard to even imagine until they took off and finally came. In the first 10 years of the Internet, people came up with blockchain and cryptocurrency. They later figured out how neural networks and machine learning could be used effectively to solve complex modern problems. If you don’t know, the neural network finds patterns in arrays of information and builds on these patterns to create new information that we need. Development of AI model In general, a neural network is a model—a set of files representing algorithms and tables that together form what, in some sense, can be called artificial intelligence. Development is taking place in several directions, including developing more optimal algorithms and increasing the size of the tables. The latest existing models are of such a size that it would not take 1000 years to train this on a single video card. However, all models today are centralized, and it is the responsibility of a specific person or organization to train them. So only the TOP players like Amazon, Google, Facebook, and Microsoft can afford to train the biggest models nowadays. Ordinary people have to make do with models that are, on average, 100-1000 times smaller than the top models available to these companies. The Concept of Decentralization In 2008, the first decentralized blockchain appeared. The essence was that any user could receive virtual coins to help maintain the virtual network at the expense of computing resources on his or her computer. The properties of this network also allowed the transfer of these coins to each other, which allowed this network to eventually grow into a whole financial system based on mining, decentralization, and encryption. The pros of this approach primarily represent the possibility of cross-border, uncensored payments that occur with nothing more than the Internet and the processing power of the network's computers. Think about it—there are only 2 factors—the Internet and computer processing power. That's all it took to create a whole new financial system, and that's just the first 10 years of the Internet. Decentralization of AI Decentralization means the absence of the main person or entity. The main thing about decentralization is the consensus among the smallest units of the system. With this consensus, we can build more than a new financial system. Let's imagine for a moment that mining could create something more than just wasting resources to keep the network running in search of a random number. What if each miner computed a small part of a huge artificial intelligence model on his working machine without having to train the whole model? The essence of this idea is to efficiently distribute the training, using the computing resources of different machines - from video cards to ASICs, to obtain a fully complete model or even for its constant additional training on new and new data sets. Miners would receive certain coins to train the model, which could be used in the future to use the computing resources of the AI model. At some point, the model would be fully trained, and it would seem that anyone could download it to a computer for free, but they would never have the resources to run it themselves. The same mining is required to run the model. One person requests the network, and the network issues a response. It will be like working with the ChatGPT-4 API. Each request would cost the user a few tokens, depending on the rates of the miners. The miners collectively decentralize these requests and produce the results. There could be a myriad of models, and they could all exist on a single blockchain in the form of smart contracts. Namely, someone—a person or a group of people—creates an AI as a smart contract in the blockchain network, attracts people to train it, and then earns money together to keep the model running. Implications of Decentralized AI If such a system is created, the largest companies will lose the status of monopoly on owning the largest AI models in the world. Very soon, the largest AI models will exist in a decentralized way and in no other way. Joint use of huge amounts of computing resources will very soon produce more useful work in total than separate supercomputers of TOP IT companies. This is the next step in the development of technology and the next step towards full autonomy of everyone, rather than dependence on the strongest. The flow of technology available today is gradually increasing the capabilities of everyone on the planet. Over time, everyone's autonomy will only increase. We can get endless amounts of information from the Internet on any topic we want. We can get energy in our homes thanks to solar panels. Decentralized money came unexpectedly to everyone and many people have not even understood its essence yet, but the consequences are huge. Perhaps in the future, there will even be an analog of the free, decentralized Internet. And the future artificial intelligence will be in everyone's home and will not belong to anyone, helping with household chores or working in your garden. Now we have entered a time when we need to develop these decentralized technologies and just let artificial intelligence grow and grow exponentially larger and larger, just like the computing power of the Bitcoin network is growing. What do I think about Internet Computer Protocol (ICP)? ICP is pushing boundaries in decentralized AI with some genuinely unique features that aren't just hype—they're solving real problems. First is data privacy. In the traditional AI world, data is usually funneled through centralized servers, which can be a goldmine for breaches. ICP changes the game by processing data across a decentralized network of nodes. No central server means your data isn’t sitting in one big vulnerable target. This setup is particularly important for sensitive applications like healthcare AI, where privacy isn’t just nice to have—it’s mandatory. Another area where ICP shines is in its governance. Most AI platforms are controlled by a handful of big players, leading to decisions that prioritize profit over progress. ICP flips this on its head with a community-driven governance model. Developers and users have a real voice in how the network operates. It’s not just lip service to the idea of decentralization; it’s putting power back into the hands of the people who actually build and use these AI tools. Then there's the technical side—ICP’s architecture supports what you might call "true decentralization". Many so-called decentralized AI platforms still rely on traditional cloud infrastructure at some level. ICP eliminates the middleman, running AI applications directly on a decentralized web. This isn't just an incremental improvement. It’s a foundational shift that reduces dependency on any single provider and ensures continuous uptime. And let's talk about speed and efficiency. AI workloads are demanding, and ICP's ability to scale computation independently from storage is a big deal. In essence, ICP is pioneering a new way forward for decentralized AI by addressing the core issues—privacy, governance, true decentralization, and technical flexibility—that have held back the field.

Decentralized AI: Largest Companies Will Lose the Status of Monopoly

বিকেন্দ্রীভূত AI: বড় কোম্পানিগুলি একচেটিয়া অবস্থা হারাবে

Dezentrale KI: Die größten Unternehmen verlieren ihren Monopolstatus

IA descentralizada: las empresas más grandes perderán su condición de monopolio

IA décentralisée : les plus grandes entreprises perdront leur statut de monopole

विकेंद्रीकृत एआई: सबसे बड़ी कंपनियां एकाधिकार की स्थिति खो देंगी

分散型AI：大企業は独占の地位を失う

분산형 AI: 대기업은 독점적 지위를 상실할 것이다

IA descentralizada: as maiores empresas perderão o status de monopólio

Децентрализованный ИИ: крупнейшие компании потеряют статус монополистов

Merkezi Olmayan Yapay Zeka: En Büyük Şirketler Tekel Statüsünü Kaybedecek

AI phi tập trung: Các công ty lớn nhất sẽ mất vị thế độc quyền

去中心化人工智能：最大的公司将失去垄断地位

Google's Monopoly: Reduced Competition Reduces Search Quality And The Options Available To Consumers

Google's Monopoly: Defaults Have A Powerful Effect On Users’ Search Behavior

Google Has Monopoly Power In The U.S. Text Ads Market

Google Has Monopoly Power In The U.S. Search Ads Market

The U.S. Government: Google Has Monopoly Power In The U.S. General Search Services Market

Just when you thought Google couldn’t get any more insufferable, a federal judge throws down a ruling that could rock the very foundation of the tech giant's empire! On Monday, US District Judge Amit Mehta smacked Google with a colossal antitrust defeat, declaring that the company’s search business isn’t just dominant—it’s downright monopolistic. This isn’t just a slap on the wrist; it’s a full-blown smackdown aimed at the heart of Google’s search engine hegemony. Judge Mehta didn’t mince words. He laid it out straight: Google’s not just playing the search game; it’s rigging it to keep everyone else out. Through a web of exclusive contracts and under-the-table deals with major players like Apple, Google has cemented its stranglehold on search—squeezing out competitors like Microsoft’s Bing and DuckDuckGo. And let’s be honest, it’s not like Google’s been subtle about it. They’ve spent billions on these deals, effectively ensuring that when you need to find something online, Google’s your only choice. The court ruling paints a grim picture of Google’s power trip, citing anticompetitive practices and outrageous search ad pricing as key problems. The judge isn’t just wagging a finger; he’s laying the groundwork for potentially groundbreaking remedies. Think “choice screens” and other measures that could force Google to give rivals a fighting chance. And don’t think this is just about search ads—oh no. This decision is setting the stage for a new era of tech antitrust battles. Remember Microsoft’s antitrust debacle back in the day? This case is being compared to that. It’s a landmark moment, echoing historic rulings like the breakups of AT&T and Standard Oil. Attorney General Merrick Garland and the White House are dancing in the streets, calling this a triumph for the American people and a win for fair competition. But don’t expect Google to take this lying down. The company’s already gearing up for an appeal, insisting it’s still the best search engine out there. Classic Google, right? Meanwhile, the ruling is stirring the pot for future tech antitrust cases. With other giants like Apple and Amazon facing their own legal heat, this Google decision might just be the tip of the iceberg. It could also make waves in the Justice Department’s case against Ticketmaster. So, buckle up—Google’s legal rollercoaster is far from over, and the reverberations are going to be felt across the tech world for years to come. Just when you thought Google couldn’t get any more insufferable, a federal judge throws down a ruling that could rock the very foundation of the tech giant's empire! On Monday, US District Judge Amit Mehta smacked Google with a colossal antitrust defeat, declaring that the company’s search business isn’t just dominant—it’s downright monopolistic. This isn’t just a slap on the wrist; it’s a full-blown smackdown aimed at the heart of Google’s search engine hegemony. Judge Mehta didn’t mince words. He laid it out straight: Google’s not just playing the search game; it’s rigging it to keep everyone else out. Through a web of exclusive contracts and under-the-table deals with major players like Apple, Google has cemented its stranglehold on search—squeezing out competitors like Microsoft’s Bing and DuckDuckGo. And let’s be honest, it’s not like Google’s been subtle about it. They’ve spent billions on these deals, effectively ensuring that when you need to find something online, Google’s your only choice. The court ruling paints a grim picture of Google’s power trip, citing anticompetitive practices and outrageous search ad pricing as key problems. The judge isn’t just wagging a finger; he’s laying the groundwork for potentially groundbreaking remedies. Think “choice screens” and other measures that could force Google to give rivals a fighting chance. And don’t think this is just about search ads—oh no. This decision is setting the stage for a new era of tech antitrust battles. Remember Microsoft’s antitrust debacle back in the day? This case is being compared to that. It’s a landmark moment, echoing historic rulings like the breakups of AT&T and Standard Oil. Attorney General Merrick Garland and the White House are dancing in the streets, calling this a triumph for the American people and a win for fair competition. But don’t expect Google to take this lying down. The company’s already gearing up for an appeal, insisting it’s still the best search engine out there. Classic Google, right? Meanwhile, the ruling is stirring the pot for future tech antitrust cases. With other giants like Apple and Amazon facing their own legal heat, this Google decision might just be the tip of the iceberg. It could also make waves in the Justice Department’s case against Ticketmaster. So, buckle up—Google’s legal rollercoaster is far from over, and the reverberations are going to be felt across the tech world for years to come.

Google Slammed with Massive Antitrust Defeat: Monopoly Power Under Fire

Regarding technological advancement, the role of human intellect is supreme. This is a principle that is extremely refreshing in this day and age and also sits at the core of Experts Exchange (EE), a leading-edge platform in the tech community space. Established as a private question-and-answer community for tech pros, EE has been entirely steadfast in its devotion to upholding the sanctity of human intelligence (HI) over artificial intelligence (AI). In a recent move, EE is now set up to amplify its reach by offering people a 90-day free trial without the hassle or uncertainty of giving out their credit card details, which marks an impressive departure from the company’s previous model. While also serving as a call for the protection of human-centric knowledge-sharing ecosystems in an age that is proving to belong to the forces of AI. Founded in 1996, Experts Exchange arose as a needed space for tech enthusiasts looking for solutions to difficult queries. Spearheaded by a team with deeply entwined roots in the tech industry, EE quickly amassed a devout following of programmers, software engineers, and IT administrators. At its basis, EE was created to nurture an environment where people can freely ask and answer questions, earn rewards, and solve intricate problems with the overarching goal of serving the community in mind. The platform’s ethos revolves around the voluntary exchange of knowledge, devoid of coercive mechanisms. In recent years, however, the tech world has witnessed the sudden and almost frightening rise of AI-driven platforms, each promising more novel solutions and smoother processes than the last. During this tech surge, pertinent questions rapidly came up, such as, at what cost does progress come? This query still looms large in light of Stack Overflow’s recent collaboration with Open AI through their Overflow API—a move that was met with much skepticism and disapproval from the tech community. The partnership, which has since been viewed as a betrayal of user trust, draws attention to the numerous perils of prioritizing AI over human intelligence and the vast consequences our advancements can have. In profound contrast to its counterparts, EE stands as a firm advocate in its allegiance to human intelligence. Perhaps most importantly, the platform has never engaged in the sale of customer data nor allowed any AI companies to scrape member data for their own training purposes. Moreover, central to EE’s philosophy is the belief in the transformative power of human-to-human interaction. Unlike platforms like Stack Overflow, which prioritized the creation of an online library of solutions, EE emphasizes tailor-made problem-solving. Duplicate questions are permitted and actually encouraged, which works to help build a culture of inclusivity and collaboration. EE promotes organic conversation and genuine learning experiences by prioritizing chronological order and thread comments. And now, by offering a no credit card-required 90-day free trial, EE is looking to further empower the tech community, reaffirm its commitment to inclusive knowledge-sharing, and champion the importance of authenticity and human-centric innovation. EE’s stance against AI monopolies is the definition of preservation for human-centric knowledge-sharing ecosystems, and as the platform extends its reach, the tech community is invited to join in championing the timeless value of human intelligence. Regarding technological advancement, the role of human intellect is supreme. This is a principle that is extremely refreshing in this day and age and also sits at the core of Experts Exchange (EE), a leading-edge platform in the tech community space. Established as a private question-and-answer community for tech pros, EE has been entirely steadfast in its devotion to upholding the sanctity of human intelligence (HI) over artificial intelligence (AI). In a recent move, EE is now set up to amplify its reach by offering people a 90-day free trial without the hassle or uncertainty of giving out their credit card details, which marks an impressive departure from the company’s previous model. While also serving as a call for the protection of human-centric knowledge-sharing ecosystems in an age that is proving to belong to the forces of AI. Founded in 1996, Experts Exchange arose as a needed space for tech enthusiasts looking for solutions to difficult queries. Spearheaded by a team with deeply entwined roots in the tech industry, EE quickly amassed a devout following of programmers, software engineers, and IT administrators. At its basis, EE was created to nurture an environment where people can freely ask and answer questions, earn rewards, and solve intricate problems with the overarching goal of serving the community in mind. The platform’s ethos revolves around the voluntary exchange of knowledge, devoid of coercive mechanisms. In recent years, however, the tech world has witnessed the sudden and almost frightening rise of AI-driven platforms, each promising more novel solutions and smoother processes than the last. During this tech surge, pertinent questions rapidly came up, such as, at what cost does progress come? This query still looms large in light of Stack Overflow’s recent collaboration with Open AI through their Overflow API—a move that was met with much skepticism and disapproval from the tech community. The partnership, which has since been viewed as a betrayal of user trust, draws attention to the numerous perils of prioritizing AI over human intelligence and the vast consequences our advancements can have. In profound contrast to its counterparts, EE stands as a firm advocate in its allegiance to human intelligence. Perhaps most importantly, the platform has never engaged in the sale of customer data nor allowed any AI companies to scrape member data for their own training purposes. Moreover, central to EE’s philosophy is the belief in the transformative power of human-to-human interaction. Unlike platforms like Stack Overflow, which prioritized the creation of an online library of solutions, EE emphasizes tailor-made problem-solving. Duplicate questions are permitted and actually encouraged, which works to help build a culture of inclusivity and collaboration. EE promotes organic conversation and genuine learning experiences by prioritizing chronological order and thread comments. And now, by offering a no credit card-required 90-day free trial, EE is looking to further empower the tech community, reaffirm its commitment to inclusive knowledge-sharing, and champion the importance of authenticity and human-centric innovation. EE’s stance against AI monopolies is the definition of preservation for human-centric knowledge-sharing ecosystems, and as the platform extends its reach, the tech community is invited to join in championing the timeless value of human intelligence.

Championing Human Intelligence: Experts Exchange’s Stand Against AI Monopolies

চ্যাম্পিয়ানিং হিউম্যান ইন্টেলিজেন্স: এআই একচেটিয়াদের বিরুদ্ধে বিশেষজ্ঞ এক্সচেঞ্জের অবস্থান

Für die menschliche Intelligenz eintreten: Experts Exchange stellt sich gegen KI-Monopole

Defensa de la inteligencia humana: la posición de Experts Exchange contra los monopolios de la IA

Défendre l’intelligence humaine : la position d’Experts Exchange contre les monopoles de l’IA

मानव बुद्धि का समर्थन: एआई एकाधिकार के खिलाफ विशेषज्ञ एक्सचेंज का रुख

人間の知性を擁護する: AI独占に対するエキスパートエクスチェンジの姿勢

인간 지능의 옹호: AI 독점에 맞서는 Experts Exchange의 입장

Defendendo a inteligência humana: a posição da Experts Exchange contra os monopólios de IA

Защита человеческого интеллекта: позиция экспертной биржи против монополий в области искусственного интеллекта

İnsan Zekasını Desteklemek: Experts Exchange'in Yapay Zeka Tekellerine Karşı Duruşu

Đấu tranh cho trí tuệ con người: Quan điểm của các chuyên gia Exchange chống lại sự độc quyền của AI

捍卫人类智能：专家交流反对人工智能垄断的立场

United States v. Apple INC Court Filing, retrieved on March 21, 2024 is part of . You can jump to any part in this filing . This part is 25 of 25. HackerNoon’s Legal PDF Series here X. Request for Relief 232. To remedy these illegal acts, Plaintiffs request that the Court: Adjudge and decree that Apple has acted unlawfully to monopolize, or, in the alternative, attempt to monopolize, the smartphone market in the United States in violation of Section 2 of the Sherman Act, 15 U.S.C. § 2; Adjudge and decree that Apple has acted unlawfully to monopolize, or, in the alternative, attempt to monopolize, the performance smartphone market in the United States in violation of Section 2 of the Sherman Act, 15 U.S.C. § 2, the New Jersey Antitrust Act, N.J.S.A. 56:9-1 to -19, Wisconsin’s Antitrust Act, Wis. Stat. Ch. § 133.03 et seq.; Enter relief as needed to cure any anticompetitive harm; Enjoin Apple from continuing to engage in the anticompetitive practices described herein and from engaging in any other practices with same purpose or effect as the challenged practices, including but not limited to: a. preventing Apple from using its control of app distribution to undermine cross-platform technologies such as super apps and cloud streaming apps, among others; b. preventing Apple from using private APIs to undermine cross platform technologies like messaging, smartwatches, and digital wallets, among others; and c. preventing Apple from using the terms and conditions of its contracts with developers, accessory makers, consumers, or others to obtain, maintain, extend, or entrench a monopoly. 5. Enter any other preliminary or permanent relief necessary and appropriate to restore competitive conditions in the markets affected by Apple’s unlawful conduct; 6. Enter any additional relief the Court finds just and proper; and 7. Award each Plaintiff, as applicable, an amount equal to its costs, including reasonable attorneys’ fees, incurred in bringing this action. Dated: March 21, 2024 Respectfully, FOR PLAINTIFF UNITED STATES OF AMERICA: FOR PLAINTIFF STATE OF NEW JERSEY: FOR PLAINTIFF STATE OF ARIZONA: FOR PLAINTIFF STATE OF CALIFORNIA: FOR PLAINTIFF STATE THE DISTRICT OF COLUMBIA: FOR PLAINTIFF STATE THE DISTRICT OF CONNECTICUT: FOR PLAINTIFF STATE OF MAINE: FOR PLAINTIFF PEOPLE OF THE STATE OF MICHIGAN: FOR PLAINTIFF OF STATE OF MINNESOTA: FOR PLAINTIFF STATE OF NEW HAMPSHIRE: FOR PLAINTIFF STATE OF NEW YORK: FOR PLAINTIFF STATE OF NORTH DAKOTA: FOR PLAINTIFF STATE OF OKLAHOMA: FOR PLAINTIFF STATE OF OREGON: FOR PLAINTIFF STATE OF TENNESSEE: FOR PLAINTIFF STATE OF WISCONSIN: FOR PLAINTIFF STATE OF VERMONT: About HackerNoon Legal PDF Series: We bring you the most important technical and insightful public domain court case filings. This court case retrieved on March 21, 2024, from is part of the public domain. The court-created documents are works of the federal government, and under copyright law, are automatically placed in the public domain and may be shared without legal restriction. justice.gov

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