Hamill left the podium to whoops and applause from a few starstruck reporters. The first question to the press secretary, Karine Jean-Pierre, began: “May the Force be with you.” She replied: “May the Force be with you or, tomorrow, the 4th be with you, however you want to look at it.”

Star Wars’ Mark Hamill hails ‘Joe-B-Wan Kenobi’ after White House meeting | Mark Hamill | The Guardian

WASHINGTON (AP) — “Star Wars” actor Mark Hamill dropped by the White House on Friday for a visit with President Joe Biden and walked away with a pair of the president&#x27;s aviator sunglasses and a greater respect for the office. “I love the merch,&quot; he said, taking off the glasses during ...

'Star Wars' actor Mark Hamill drops by White House for a visit with 'Joe-bi-Wan Kenobi'

Mark Hamill says the force is with President Biden — the actor made a surprise visit Friday to the White House briefing room and offered a “Star Wars”-inspired nickname for the commander in chief. “How many of you had ‘Mark Hamill will lead the press briefing’ on your bingo cards?” ...

Mark Hamill calls Biden ‘Joe-B-Wan Kenobi’ in White House press room appearance | The Hill

After anti-Israel protesters replaced the American flag on the University of North Carolina at Chapel Hill&#x27;s quad and with a Palestinian flag, the local chapter of Pi Kappa Phi defended the American flag for over an hour until police were able to clear the protest and safely hoist it back on ...

White House praises UNC frat bros who protected the American flag from anti-Israel agitators as 'admirable' | Fox News

For his support, Hamill got to meet with Biden before the press briefing and, while Hamill noted that he had visited the White House during the terms of both Jimmy Carter and Barack Obama, “I never was invited into the Oval Office.”

Mark Hamill Kicks Off White House Press Briefing After Meeting The President, Reveals Joe Biden’s Jedi Nickname

While speaking with the press Hamill praised the president, calling him the “most legislatively successful president in my lifetime,” mentioning the “Bipartisan Infrastructure law, the PACT Act, the CHIPS Act and the Inflation [Reduction Act], fifteen million jobs,” as examples of Biden’s ...

Not Everyone Loved Mark Hamill’s White House Press Briefing Cameo

Jones, who was with his daughter at the time, explained that the other activist&#x27;s foot was blocking his child&#x27;s stroller.

Black student erupts on anti-Israel 'White libs' for blocking path on campus: 'Cosplaying as the oppressed' | Fox News

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and HR teams may sometimes feel unfamiliar with the security of e-signatures for processes such as employee onboarding and business contracts. In addition, app developers often have HIPAA-compliant data security concerns related to healthcare providers’ handling of patient data. Management Let’s take a look at how new digital security technology and protocols might affect your . organization E-Signatures vs. Digital Signatures For more common business applications, an effective digital signature not only secures sensitive data through encryption, but it also detects tampering efforts and strengthens signer trust. An e-signature is also a legal concept that provides a durable, long-lasting representation and capture of someone’s intent. Though they may sound the same, an electronic signature (aka e-signature) and digital signature are not one and the same thing. While the as an “electronic sound, symbol, or process attached to, or associated with, a contract or other record and adopted by a person with the intent to sign a record,” a digital signature refers to the encryption technology upon which electronic signatures are built. U.S. Electronic Signatures in Global and National Commerce Act defines an e-signature Unfortunately, there are — for a price, that is. a vulnerable point of attack that is still utilized by hackers to gain access to private user data uploaded to the cloud. digital code signing certificates available via the dark web Email remains However, electronic signatures used in banking and tax-related transactions incorporate a strong, that make e-signatures just as safe — or safer — than the real thing. Because of the number of biometric and secondary authentication measures utilized in backing up e-signatures, instances of hacking into documents with e-signatures is highly unlikely. complex network of security provisions Healthcare Data Security While for many healthcare transactions that disclose personal health information, signed authorizations for marketing or research purposes should be legally compliant and validate the identity of the user with their full knowledge and consent. For example, medical software applications must be HIPAA compliant, and can help developers through the security protocols. a signature is not generally required guides like this one published by HIPAA Journal Because of the that has become digitized and made available via multiple platforms, that availability is changing the way providers treat patients — as well as the way patients heal. For example, the development of telemedicine is allowing patients greater flexibility in seeing doctors from the comfort of their own home — as opposed to being forced to travel long distances or take time off from work. abundance of healthcare data The internet of things (IoT) has popularized mobile apps that can remotely configure medical devices, personalized medicine, and patient monitoring, as well. In addition, wearable health sensors, 3-D printers, liquid biopsies, and vocal biomarkers are introducing a new, futuristic implementation and accessibility to data that wasn’t available just 10 years ago. Digital Citizenship that lays out nine important elements of digital citizenship: digital access, digital commerce, digital communication, digital literacy, digital etiquette, digital law, digital rights and responsibilities, digital health and wellness, and digital security. It is a matter of not only literacy but also etiquette, security, and rights to ensure that client and customers’ personal information remains private and protected via strong digital signatures that can protect the integrity and confidentiality of their e-signatures, as well as other personal information. Ritesh Gujrati recently penned an article A foolproof, business-based digital signature will make clients and more likely to provide their e-signatures and go into business with you. If your company fails to safeguard all its customer data, however, they’re likely to go the way of Equifax or eBay: falling victim to due to a failure to update your security software to include the latest , cryptocurrency, malware-proof cybersecurity programs, and encryption programs available. investment partners security breaches blockchain * * * With , it’s in your company’s best interest to adopt the most secure and encrypted document exchange and cybersecurity defenses available. What is your company doing to collect persuasive electronic evidence via digital signature technology? internet crime on the rise Is your organization able to provide a snapshot of that captured evidence to all concerned business parties, in the event of a security breach? Share your experience in the comments section, below.

Navigating Security Concerns With E-Signatures & Health Data

Everything You Need To Know About Managing Go Processes

Electronic waste — better known as e-waste — has been a massive problem for years. However, most people have never even heard of the term. Unfortunately, whether they realize it or not, it impacts them directly. How does e-waste hacking put you at risk? The Overlooked Problem With E-Waste Most people don’t think twice about what happens to their electronics when they throw them away or trade them in. In almost every case, their old devices become e-waste. Common examples include phones, computers, printers, monitors, smart devices and wearables. Almost all electronics contain materials like nickel, flame retardants, and cadmium that either are or can become hazardous if disposed of improperly. For example, lithium-ion batteries can produce noxious smoke if damaged and toxic liquid if exposed to water. In landfills, these devices poison the air, waterways, and soil by leeching heavy metals and poisonous chemicals. Since e-waste is a relatively new problem, it remains largely unaddressed. Today, it accounts for roughly 70% of the toxic waste in U.S. landfills. Only a fraction is ever formally recycled, leaving the rest to pollute local environments for thousands of years until they naturally break down. While there’s no breakdown of where the country’s e-waste comes from, the consumer electronics sector is likely responsible for most of it. People have been buying more than ever in recent years — computer purchases surged by 34% during the COVID-19 pandemic — suggesting they’ve been throwing away more than ever. The main focus of e-waste is its environmental risks, for good reason. However, that’s not its only problem. Many people don’t realize they’re essentially handing all their device’s data directly to a cybercriminal when they dispose of it improperly. E-waste hacking is becoming increasingly profitable for cybercriminals as people toss more electronics every year. Unfortunately, buying something new is often cheaper than having something repaired. Once a device leaves the owner’s hands and lands in the trash, it’s forfeit — along with every shred of personally identifiable information (PII) and sensitive data it ever stored. What E-Waste Hacking Looks Like While e-waste hacking sounds futuristic, it’s concerningly simplistic. Once an electronic device is thrown away or given to a third party for disposal, it often ends up in a landfill. At some point along the journey, people pick through the waste for hard drives to recover data. They either misuse it themselves or sell it to a third party for a profit. There’s 100 times more gold in one ton of smartphones than in one ton of gold ore. Thus, urban mining — extracting usable material like copper, glass, aluminum or gold from discarded electronics — is becoming popular in places like Ghana, China and India. How does e-waste hacking work? Usually, cybercriminals can pry out a device’s physical drives and recover the data from them, as many people forget to wipe or destroy those. While they might have to use specialized tools to bypass security measures, they often only have to plug it in to retrieve sensitive information. Back in 2009, a group of journalism students from the University of British Columbia bought a $40 hard drive at an open-air market in Ghana for an international reporting course. Once they plugged it in, a multi-million dollar U.S. defense contract between the Pentagon, the Department of Homeland Security and a military contractor was sitting there, waiting to be read. What Are the Security Risks of E-Waste? Once cybercriminals get ahold of an improperly disposed-of device’s storage system, they can see the previous owner’s PII. This could include names, social security numbers, addresses and contact information. They also gain access to whatever files remain intact. Regarding e-waste generated by consumer electronics, individuals become susceptible to identity theft, phishing scams, cyberattacks and financial fraud. If cybercriminals choose to sell their information on the dark web, they remain at risk for the rest of their lives. While individuals are usually the focus of cybersecurity concerns related to e-waste, businesses are also at risk. If even a single employee improperly disposes of their old work laptop, the company’s data breach risk skyrockets. E-waste hacking can expose proprietary information, give cybercriminals a way to infiltrate the brand’s network legitimately or lead to an uptick in cyberattacks. Considering the average data breach cost over $4.45 million in 2023, the consequences could be catastrophic. How Do Electronics End up in Hackers' Hands? The logistics of electronics going from a garbage can into a hacker’s hands is more straightforward than most people would assume. One of the simplest means is through theft, where the person retrieves the thrown-away device from the trash and takes it home. While most cybercriminals don’t make dumpster diving a pastime, many know where to go — or who to call — to get their hands on recently thrown-out electronics. Considering roughly 800 laptops worth of e-waste are generated every second in the U.S., the simplicity of such a plan shouldn’t come as a surprise. Another illicit means cybercriminals use to get their hands on PII is through a third party like a recycling center, buy-back platform or trade-in program. In this scenario, the intermediary sells used consumer electronics to them directly. Whether due to negligence or an effort to make a quick profit, sensitive data doesn’t get wiped before the sale. One of the most concerning ways e-waste ends up in hackers’ hands is through cargo ships. According to a 2016 study — one of the few on the matter — the U.S. exports up to 40% of its e-waste for dismantling or recycling. Apparently, there have been multiple cases where countries have had to reject cargo loads of e-waste shipments. While some say this claim is untrue, the U.S. has set a precedent by exporting plastic waste for decades. Despite international law making it illegal, it has increased its exports to places like Malaysia and Indonesia. Moreover, while most shipments are categorized as recycling, they end up in landfills, meaning e-waste export isn’t an unreasonable concept. What to Do to Avoid E-Waste Hacking While most people’s first thought is to avoid e-waste hacking by holding on to their technology, unused electronics are attractive targets to thieves. Besides, lost devices pose a host of other cybersecurity risks. The only way to guarantee security is through proper disposal channels. 1. Shred Data Storage Systems People must get used to “shredding” their hard disk drives and solid state drives (SSDs) like they do their sensitive documents. Once they wipe their device, they should render their storage systems unusable by physically destroying them and their chips. 2. Use Darik's Boot and Nuke Darik's Boot and Nuke (DBAN) is a free, open-source software people use to wipe physical drives. While it’s effective, it should only be used by individuals and not businesses, as it doesn’t meet any formal destruction requirements like NIST or HIPAA. Notably, it does not work on all devices and will not work for SSDs due to compatibility issues. 3. Leverage Data Encryption People should proactively encrypt every shred of data on their devices even if they use DBAN since data residue — recoverable digital traces of data — remains on electronics and is recoverable by hackers even after the manual erasure process. As a bonus, this measure can protect them from experiencing the effects of various cyberattacks. 4. Use Reputable Third Parties Simply destroying and throwing away electronics to prevent e-waste hacking is irresponsible because it is incredibly damaging to the environment. Instead, people should find reputable, transparent third parties to ensure their devices don’t end up being sold off or landfilled. The World Cannot Ignore the Issue of E-Waste Even without the security risks e-waste hacking poses, improperly disposed-of electronics are a problem. They poison the air, waterways and soil for thousands of years as they sit in landfills. Individuals and enterprises must do their part to prevent this from happening for the good of data protection and the environment. Electronic waste — better known as e-waste — has been a massive problem for years. However, most people have never even heard of the term. Unfortunately, whether they realize it or not, it impacts them directly. How does e-waste hacking put you at risk? Electronic waste — better known as e-waste — has been a massive problem for years. However, most people have never even heard of the term. Unfortunately, whether they realize it or not, it impacts them directly. How does e-waste hacking put you at risk? The Overlooked Problem With E-Waste The Overlooked Problem With E-Waste Most people don’t think twice about what happens to their electronics when they throw them away or trade them in. In almost every case, their old devices become e-waste. Common examples include phones, computers, printers, monitors, smart devices and wearables. Almost all electronics contain materials like nickel, flame retardants, and cadmium that either are or can become hazardous if disposed of improperly. For example, lithium-ion batteries can produce noxious smoke if damaged and toxic liquid if exposed to water. In landfills, these devices poison the air, waterways, and soil by leeching heavy metals and poisonous chemicals. Since e-waste is a relatively new problem, it remains largely unaddressed. Today, it accounts for roughly 70% of the toxic waste in U.S. landfills. Only a fraction is ever formally recycled, leaving the rest to pollute local environments for thousands of years until they naturally break down. 70% of the toxic waste 70% of the toxic waste While there’s no breakdown of where the country’s e-waste comes from, the consumer electronics sector is likely responsible for most of it. People have been buying more than ever in recent years — computer purchases surged by 34% during the COVID-19 pandemic — suggesting they’ve been throwing away more than ever. computer purchases surged by 34% computer purchases surged by 34% The main focus of e-waste is its environmental risks, for good reason. However, that’s not its only problem. Many people don’t realize they’re essentially handing all their device’s data directly to a cybercriminal when they dispose of it improperly. E-waste hacking is becoming increasingly profitable for cybercriminals as people toss more electronics every year. Unfortunately, buying something new is often cheaper than having something repaired. Once a device leaves the owner’s hands and lands in the trash, it’s forfeit — along with every shred of personally identifiable information (PII) and sensitive data it ever stored. What E-Waste Hacking Looks Like While e-waste hacking sounds futuristic, it’s concerningly simplistic. Once an electronic device is thrown away or given to a third party for disposal, it often ends up in a landfill. At some point along the journey, people pick through the waste for hard drives to recover data. They either misuse it themselves or sell it to a third party for a profit. There’s 100 times more gold in one ton of smartphones than in one ton of gold ore. Thus, urban mining — extracting usable material like copper, glass, aluminum or gold from discarded electronics — is becoming popular in places like Ghana, China and India. 100 times more gold 100 times more gold How does e-waste hacking work? Usually, cybercriminals can pry out a device’s physical drives and recover the data from them, as many people forget to wipe or destroy those. While they might have to use specialized tools to bypass security measures, they often only have to plug it in to retrieve sensitive information. Back in 2009, a group of journalism students from the University of British Columbia bought a $40 hard drive at an open-air market in Ghana for an international reporting course. Once they plugged it in, a multi-million dollar U.S. defense contract between the Pentagon, the Department of Homeland Security and a military contractor was sitting there, waiting to be read. bought a $40 hard drive bought a $40 hard drive What Are the Security Risks of E-Waste? Once cybercriminals get ahold of an improperly disposed-of device’s storage system, they can see the previous owner’s PII. This could include names, social security numbers, addresses and contact information. They also gain access to whatever files remain intact. Regarding e-waste generated by consumer electronics, individuals become susceptible to identity theft, phishing scams, cyberattacks and financial fraud. If cybercriminals choose to sell their information on the dark web, they remain at risk for the rest of their lives. While individuals are usually the focus of cybersecurity concerns related to e-waste, businesses are also at risk. If even a single employee improperly disposes of their old work laptop, the company’s data breach risk skyrockets. E-waste hacking can expose proprietary information, give cybercriminals a way to infiltrate the brand’s network legitimately or lead to an uptick in cyberattacks. Considering the average data breach cost over $4.45 million in 2023, the consequences could be catastrophic. cost over $4.45 million cost over $4.45 million How Do Electronics End up in Hackers' Hands? The logistics of electronics going from a garbage can into a hacker’s hands is more straightforward than most people would assume. One of the simplest means is through theft, where the person retrieves the thrown-away device from the trash and takes it home. While most cybercriminals don’t make dumpster diving a pastime, many know where to go — or who to call — to get their hands on recently thrown-out electronics. Considering roughly 800 laptops worth of e-waste are generated every second in the U.S., the simplicity of such a plan shouldn’t come as a surprise. roughly 800 laptops worth of e-waste roughly 800 laptops worth of e-waste Another illicit means cybercriminals use to get their hands on PII is through a third party like a recycling center, buy-back platform or trade-in program. In this scenario, the intermediary sells used consumer electronics to them directly. Whether due to negligence or an effort to make a quick profit, sensitive data doesn’t get wiped before the sale. One of the most concerning ways e-waste ends up in hackers’ hands is through cargo ships. According to a 2016 study — one of the few on the matter — the U.S. exports up to 40% of its e-waste for dismantling or recycling. Apparently, there have been multiple cases where countries have had to reject cargo loads of e-waste shipments. up to 40% of its e-waste up to 40% of its e-waste While some say this claim is untrue, the U.S. has set a precedent by exporting plastic waste for decades. Despite international law making it illegal , it has increased its exports to places like Malaysia and Indonesia. Moreover, while most shipments are categorized as recycling, they end up in landfills, meaning e-waste export isn’t an unreasonable concept. international law making it illegal international law making it illegal What to Do to Avoid E-Waste Hacking While most people’s first thought is to avoid e-waste hacking by holding on to their technology, unused electronics are attractive targets to thieves. Besides, lost devices pose a host of other cybersecurity risks. The only way to guarantee security is through proper disposal channels. 1. Shred Data Storage Systems People must get used to “shredding” their hard disk drives and solid state drives (SSDs) like they do their sensitive documents. Once they wipe their device, they should render their storage systems unusable by physically destroying them and their chips. 2. Use Darik's Boot and Nuke Darik's Boot and Nuke (DBAN) is a free, open-source software people use to wipe physical drives. While it’s effective, it should only be used by individuals and not businesses, as it doesn’t meet any formal destruction requirements like NIST or HIPAA. Notably, it does not work on all devices and will not work for SSDs due to compatibility issues. 3. Leverage Data Encryption People should proactively encrypt every shred of data on their devices even if they use DBAN since data residue — recoverable digital traces of data — remains on electronics and is recoverable by hackers even after the manual erasure process. As a bonus, this measure can protect them from experiencing the effects of various cyberattacks. 4. Use Reputable Third Parties Simply destroying and throwing away electronics to prevent e-waste hacking is irresponsible because it is incredibly damaging to the environment. Instead, people should find reputable, transparent third parties to ensure their devices don’t end up being sold off or landfilled. The World Cannot Ignore the Issue of E-Waste Even without the security risks e-waste hacking poses, improperly disposed-of electronics are a problem. They poison the air, waterways and soil for thousands of years as they sit in landfills. Individuals and enterprises must do their part to prevent this from happening for the good of data protection and the environment.

What Is E-Waste Hacking?

ই-ওয়েস্ট হ্যাকিং কি?

Was ist Elektroschrott-Hacking?

¿Qué es el pirateo de residuos electrónicos?

Qu’est-ce que le piratage des déchets électroniques ?

ई-कचरा हैकिंग क्या है?

電子廃棄物ハッキングとは何ですか?

전자 폐기물 해킹이란 무엇입니까?

O que é hackeamento de lixo eletrônico?

Что такое взлом электронных отходов?

E-Atık Hacking Nedir?

Hack rác thải điện tử là gì?

什么是电子垃圾黑客？

I always wondered how free apps make money. I did some research on this and found a lot of different avenues to follow. Let's jump into the ins and outs of how to earn money with free apps Background I always encountered those exciting, sometimes annoying ads and pop-ups while browsing the web. YouTube has certainly made their ads unescapable, robbing me of two minutes of desired view time. Have you thought about why they appear anyway? I certainly have. Those are some of the different monetization strategies for free apps. There are multiple other ways to monetize free apps. “Free App” Monetization Monetization is the ability to earn from your creations. App monetization is the strategy of making money off an application. Some monetization styles perform better than others. Let's learn the monetization method that works best in your situation. How to make money from an app: Different monetization strategies There are countless ways to profit from free apps. You can apply one or several monetization methods depending on your industry or the type of app. Let's get into the details: In-app advertising Do you know how YouTube makes money? Discover what is in-app advertising and how it occurs below: Apps like YouTube display banner ads via content uploaded on its platform. Despite being a popular monetization style, you may need high engagement rates to make good advertising income. Video ads You have most likely come across those ad videos that appear when viewing certain content. Video ads are more visually appealing and could attract the audience better than display ads. At the same time, you must ensure the ads do not ruin user experience and affect your monetization. There’s no way to tell where this line is but if YouTube is anything to go by then I can guess the line is far. Native advertising In-app advertising can also work by promoting other businesses, products, or services. Native advertising may also include sponsored content mixed into the app. This method may be popular if you do not want to distract your audience through other ads. In-app purchases How does Amazon make money? In-app purchases are one of them through the products or services listed on the platform. The benefits of in-app purchases are low costs, and you do not need to own the products or services. In-app purchasing is popular with e-commerce sites, dating apps, gaming platforms, and fitness apps. Monetization through this method can occur in the following ways: Paid content Paid content is information on your app, whether video, text, or downloadable that others must pay to access. Examples like e-books and courses can be offered as paid-for content despite your app being free for other services. Subscriptions Free apps may not be free forever. Free apps provide trial periods where users can use them at no cost. The aim is to lure them into paying a subscription fee once they are used to the product or service offered. Freemium model Freemium apps make money by charging users for premium features. Users have unrestricted access to the basic free version. They have to pay for advanced features. An example of this is ChatGPT, which you can access for free, but you will be charged $20 monthly for ChatGPT Plus. Data monetization Have you ever wondered why companies like Google and Facebook can provide relevant content tailored to your needs? It's because they have mastered the art of data monetization. Below are some valuable data monetization methods. User data Do you want to know how to monetize user data? If you hold a directory of people visiting your app, you can monetize it by licensing or selling it to third parties that need it. This monetization may require user approval; as unauthorized sharing can cause privacy violations. You may also use the user data to tailor your in-app products or services for maximum value creation. Location data Think of navigation apps like Waze. These apps collect crucial geo data. Businesses needing to place location-related ads rely on such apps for data collection. If your app is one of these categories, this could be a suitable monetization strategy, although you may need user consent. Targeted advertising Once you understand the type of data you hold, including age profiles, sex, preferences, and user traits, you can use it for targeted advertising. You can sell your own or a third-party product or service through targeted ads. How to choose the best free app monetization strategy There are numerous ways to monetize free apps. However, to succeed in-app monetization, you must apply the right strategy. There are plenty of tips to use when choosing the app monetization strategy. What is your business goal? It must be clear what you want in your app monetization. A monetization method like a subscription could work best if you already have a client base. If you are relatively new, you may consider an advertising revenue model. What's your target audience? Know your customers and what they want. Are they able and willing to pay for a product or service, and what functionality do they want with the app? It would be prudent to run a rewarded video ad for gamers since it addresses their needs. Knowing your audience and offering tailored ads ensures better response rates and engagements. How about the competition? Chances are that a rival app is using your considered monetization method. You may use the same strategy if you can cut a niche that suits your business. However, you may evaluate the competitors' strengths and weaknesses and use a unique monetization method. Does it make economic sense? As much as you may prefer a particular monetization, it must make sense regarding the potential number of users, signups, average spending, etc. The numbers must add up either now or in a predictive model. Your last wish is to select a monetization method that will make your business struggle to break even. Summary I don’t think there is a specific rule for monetization for your free app. Your choice method needs to make economic sense and not impact user experience. My rule of thumb is to choose a monetization method that aligns with the business goal and users and carries a unique value proposition. I always wondered how free apps make money. I did some research on this and found a lot of different avenues to follow. Let's jump into the ins and outs of how to earn money with free apps Background I always encountered those exciting, sometimes annoying ads and pop-ups while browsing the web. YouTube has certainly made their ads unescapable, robbing me of two minutes of desired view time. YouTube Have you thought about why they appear anyway? I certainly have. Those are some of the different monetization strategies for free apps. There are multiple other ways to monetize free apps. “Free App” Monetization Monetization is the ability to earn from your creations. App monetization is the strategy of making money off an application. Some monetization styles perform better than others. Let's learn the monetization method that works best in your situation. How to make money from an app: Different monetization strategies There are countless ways to profit from free apps. You can apply one or several monetization methods depending on your industry or the type of app. Let's get into the details: In-app advertising Do you know how YouTube makes money? Discover what is in-app advertising and how it occurs below: Apps like YouTube display banner ads via content uploaded on its platform. Despite being a popular monetization style, you may need high engagement rates to make good advertising income. Video ads You have most likely come across those ad videos that appear when viewing certain content. Video ads are more visually appealing and could attract the audience better than display ads. At the same time, you must ensure the ads do not ruin user experience and affect your monetization. There’s no way to tell where this line is but if YouTube is anything to go by then I can guess the line is far. Native advertising In-app advertising can also work by promoting other businesses, products, or services. Native advertising may also include sponsored content mixed into the app. This method may be popular if you do not want to distract your audience through other ads. In-app purchases How does Amazon make money? In-app purchases are one of them through the products or services listed on the platform. The benefits of in-app purchases are low costs, and you do not need to own the products or services. In-app purchasing is popular with e-commerce sites, dating apps, gaming platforms, and fitness apps. Monetization through this method can occur in the following ways: Paid content Paid content is information on your app, whether video, text, or downloadable that others must pay to access. Examples like e-books and courses can be offered as paid-for content despite your app being free for other services. Subscriptions Free apps may not be free forever. Free apps provide trial periods where users can use them at no cost. The aim is to lure them into paying a subscription fee once they are used to the product or service offered. Freemium model Freemium apps make money by charging users for premium features. Users have unrestricted access to the basic free version. They have to pay for advanced features. An example of this is ChatGPT, which you can access for free, but you will be charged $20 monthly for ChatGPT Plus. Data monetization Have you ever wondered why companies like Google and Facebook can provide relevant content tailored to your needs? It's because they have mastered the art of data monetization. Below are some valuable data monetization methods. User data Do you want to know how to monetize user data? If you hold a directory of people visiting your app, you can monetize it by licensing or selling it to third parties that need it. This monetization may require user approval; as unauthorized sharing can cause privacy violations. You may also use the user data to tailor your in-app products or services for maximum value creation. Location data Think of navigation apps like Waze. These apps collect crucial geo data. Businesses needing to place location-related ads rely on such apps for data collection. If your app is one of these categories, this could be a suitable monetization strategy, although you may need user consent. Targeted advertising Once you understand the type of data you hold, including age profiles, sex, preferences, and user traits, you can use it for targeted advertising. You can sell your own or a third-party product or service through targeted ads. How to choose the best free app monetization strategy There are numerous ways to monetize free apps. However, to succeed in-app monetization, you must apply the right strategy. There are plenty of tips to use when choosing the app monetization strategy. What is your business goal? It must be clear what you want in your app monetization. A monetization method like a subscription could work best if you already have a client base. If you are relatively new, you may consider an advertising revenue model. What's your target audience? Know your customers and what they want. Are they able and willing to pay for a product or service, and what functionality do they want with the app? It would be prudent to run a rewarded video ad for gamers since it addresses their needs. Knowing your audience and offering tailored ads ensures better response rates and engagements. How about the competition? Chances are that a rival app is using your considered monetization method. You may use the same strategy if you can cut a niche that suits your business. However, you may evaluate the competitors' strengths and weaknesses and use a unique monetization method. Does it make economic sense? As much as you may prefer a particular monetization, it must make sense regarding the potential number of users, signups, average spending, etc. The numbers must add up either now or in a predictive model. Your last wish is to select a monetization method that will make your business struggle to break even. Summary I don’t think there is a specific rule for monetization for your free app. Your choice method needs to make economic sense and not impact user experience. My rule of thumb is to choose a monetization method that aligns with the business goal and users and carries a unique value proposition.

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Evaluation Our Approach on ARC and Beyond: A Look Back at Our Experiments

The Simple Storage Service (S3) protocol is a standard interface developed by Amazon Web Services (AWS) for storing and retrieving data in the cloud. It’s a key-value store, meaning that each piece of data (an object) is associated with a unique identifier (a key) that you use to access that data. The S3 protocol is crucial in cloud storage services for several reasons: ScalabilityS3 allows for virtually unlimited storage, making it ideal for applications that need to scale rapidly or handle large amounts of data.
Durability and AvailabilityS3 is designed for 99.999999999% (11 9’s) of durability, meaning the chances of losing data are extremely low. It also guarantees 99.99% availability, ensuring that your data is accessible when you need it.
SecurityS3 provides robust security features, including encryption for data at rest and in transit, access control policies, and logging capabilities.
InteroperabilityMany cloud storage providers, not just AWS, support the S3 protocol, making it a versatile choice for developers.
Cost-EffectiveWith S3, you only pay for the storage you use, making it a cost-effective solution for businesses of all sizes. In summary, the S3 protocol is a reliable, secure, and scalable solution for storing data in the cloud, making it a cornerstone of modern cloud-based applications. Setting Up Go Environment install AWS SDK into our project go get github.com/aws/aws-sdk-go-v2/aws
go get github.com/aws/aws-sdk-go-v2/config
go get github.com/aws/aws-sdk-go-v2/credentials
go get github.com/aws/aws-sdk-go-v2/feature/s3/manager
go get github.com/aws/aws-sdk-go-v2/service/s3 Simple project to upload file AWS SDK Wrapper package s3client

import (
 "context"
 "github.com/aws/aws-sdk-go-v2/aws"
 "github.com/aws/aws-sdk-go-v2/config"
 "github.com/aws/aws-sdk-go-v2/credentials"
 "github.com/aws/aws-sdk-go-v2/feature/s3/manager"
 "github.com/aws/aws-sdk-go-v2/service/s3"
 "io"
 "log"
 "sync"
)

var (
 uploader *manager.Uploader
 once     sync.Once
)

func setup() {
 endpoint := "http://s3-test-endpoint.com"
 accessKey := "XVXQ8Q3QGQ9QXQ8QXQ8Q"
 secretKey := "/XQ8Q3QGQ9QXQ8QXQ8QXQ/Q3QGQ9QXQ8QXQ8QXQ8"

 resolver := aws.EndpointResolverWithOptionsFunc(func(service, region string, options ...interface{}) (aws.Endpoint, error) {
  return aws.Endpoint{
   URL:               endpoint,
   HostnameImmutable: true,
   Source:            aws.EndpointSourceCustom,
  }, nil
 })
 awsConfig, err := config.LoadDefaultConfig(context.TODO(),
  config.WithCredentialsProvider(credentials.NewStaticCredentialsProvider(accessKey, secretKey, "")),
  config.WithEndpointResolverWithOptions(resolver),
  config.WithRegion("auto"),
 )
 if err != nil {
  log.Fatalf("failed to load config, %v", err)
 }

 uploader = manager.NewUploader(s3.NewFromConfig(awsConfig)) // Initialize S3 client
}

func UploadFile(ctx context.Context, bucket, filename string, file io.Reader) (string, error) {
 once.Do(setup)
 result, err := uploader.Upload(ctx, &s3.PutObjectInput{
  Bucket: aws.String(bucket),
  Key:    aws.String(filename),
  Body:   file,
  ACL:    "public-read",
 })
 if err != nil {
  log.Fatalf("failed to upload file, %v", err)
 }

 return result.Location, nil
} Why we need to wrap third-party library? The purpose wrapper is to simplify the library’s interface, adapt it to fit our application’s specific needs, or add additional functionality. In this case we simplifies the process of uploading a file to S3 by providing a single UploadFile function that handles the setup and upload process. This makes it easier for the rest of our application to upload files to S3, as it only needs to call s3client.UploadFile with the appropriate parameters. Anyway, let’s explain the code a little bit We need to setup our project to connect with the cloud storage services, in the setupfunction there is 2 key steps that we need to highlight. First, in resolver parameter we need to pass aws.EndpointSourceCustomto indicate we didn’t connect to AWS endpoint. Secondly,config.WithRegion("auto")when load default config. Then in UploadFile function we use once.Do(setup) to make sure setup function only called once. Main Function We will create simple server using chi, then create POST API to upload file to our S3 Cloud Storage. Also Hello World endpoint to make sure our server is working 😆. package main

import (
 "github.com/go-chi/chi/v5"
 "github.com/yudaph/s3-integration/s3client"
 "net/http"
)

func main() {
 r := chi.NewRouter()

 r.Get("/", func(w http.ResponseWriter, r *http.Request) {
  w.Write([]byte("Hello, World!"))
 })

 r.Post("/", HandleUpload)
 http.ListenAndServe(":8080", r)
}

func HandleUpload(w http.ResponseWriter, r *http.Request) {
 file, header, err := r.FormFile("image")
 if err != nil {
  http.Error(w, err.Error(), http.StatusBadRequest)
  return
 }
 defer file.Close()

 // TODO: Do Validation

 // Upload file to S3
 filename := "suffix_" + header.Filename
 url, err := s3client.UploadFile(r.Context(), "bucket-name", filename, file)
 if err != nil {
  http.Error(w, err.Error(), http.StatusInternalServerError)
  return
 }

 w.Write([]byte(url))
} Let’s explain the HandleUploadfunction: We will use r.FormFile("image") to get file from request, in other framework like mux and fiber we only get the header, so if we need to use header.Open() to get the file from header(CMIIW). Then do some validation, after that we simply call our wrapper function s3client.UploadFile to upload to our cloud storage. Conclusion In this article we learn about S3 protocol, how to Integrate with Non-AWS Cloud Storage Service that supports S3 protocol, and a little bit about wrapper. Hopefully, this article can be helpful. Don’t hesitate to give criticism and suggestions if you find any mistakes in this article. Let’s connect on https://www.linkedin.com/in/yudaph/ and https://github.com/yudaph Note: artikel berbahasa indonesia dapat ditemukan di https://medium.com/@yudaph/panduan-untuk-mengintegrasikan-dengan-layanan-cloud-storage-non-aws-yang-mendukung-protokol-s3-20624638911a The Simple Storage Service (S3) protocol is a standard interface developed by Amazon Web Services (AWS) for storing and retrieving data in the cloud. It’s a key-value store, meaning that each piece of data (an object) is associated with a unique identifier (a key) that you use to access that data. The S3 protocol is crucial in cloud storage services for several reasons: ScalabilityS3 allows for virtually unlimited storage, making it ideal for applications that need to scale rapidly or handle large amounts of data. Durability and AvailabilityS3 is designed for 99.999999999% (11 9’s) of durability, meaning the chances of losing data are extremely low. It also guarantees 99.99% availability, ensuring that your data is accessible when you need it. SecurityS3 provides robust security features, including encryption for data at rest and in transit, access control policies, and logging capabilities. InteroperabilityMany cloud storage providers, not just AWS, support the S3 protocol, making it a versatile choice for developers. Cost-EffectiveWith S3, you only pay for the storage you use, making it a cost-effective solution for businesses of all sizes. Scalability S3 allows for virtually unlimited storage, making it ideal for applications that need to scale rapidly or handle large amounts of data. Durability and Availability S3 is designed for 99.999999999% (11 9’s) of durability, meaning the chances of losing data are extremely low. It also guarantees 99.99% availability, ensuring that your data is accessible when you need it. Security S3 provides robust security features, including encryption for data at rest and in transit, access control policies, and logging capabilities. Interoperability Many cloud storage providers, not just AWS, support the S3 protocol, making it a versatile choice for developers. Cost-Effective With S3, you only pay for the storage you use, making it a cost-effective solution for businesses of all sizes. In summary, the S3 protocol is a reliable, secure, and scalable solution for storing data in the cloud, making it a cornerstone of modern cloud-based applications. Setting Up Go Environment install AWS SDK into our project go get github.com/aws/aws-sdk-go-v2/aws
go get github.com/aws/aws-sdk-go-v2/config
go get github.com/aws/aws-sdk-go-v2/credentials
go get github.com/aws/aws-sdk-go-v2/feature/s3/manager
go get github.com/aws/aws-sdk-go-v2/service/s3 go get github.com/aws/aws-sdk-go-v2/aws
go get github.com/aws/aws-sdk-go-v2/config
go get github.com/aws/aws-sdk-go-v2/credentials
go get github.com/aws/aws-sdk-go-v2/feature/s3/manager
go get github.com/aws/aws-sdk-go-v2/service/s3 Simple project to upload file AWS SDK Wrapper package s3client

import (
 "context"
 "github.com/aws/aws-sdk-go-v2/aws"
 "github.com/aws/aws-sdk-go-v2/config"
 "github.com/aws/aws-sdk-go-v2/credentials"
 "github.com/aws/aws-sdk-go-v2/feature/s3/manager"
 "github.com/aws/aws-sdk-go-v2/service/s3"
 "io"
 "log"
 "sync"
)

var (
 uploader *manager.Uploader
 once     sync.Once
)

func setup() {
 endpoint := "http://s3-test-endpoint.com"
 accessKey := "XVXQ8Q3QGQ9QXQ8QXQ8Q"
 secretKey := "/XQ8Q3QGQ9QXQ8QXQ8QXQ/Q3QGQ9QXQ8QXQ8QXQ8"

 resolver := aws.EndpointResolverWithOptionsFunc(func(service, region string, options ...interface{}) (aws.Endpoint, error) {
  return aws.Endpoint{
   URL:               endpoint,
   HostnameImmutable: true,
   Source:            aws.EndpointSourceCustom,
  }, nil
 })
 awsConfig, err := config.LoadDefaultConfig(context.TODO(),
  config.WithCredentialsProvider(credentials.NewStaticCredentialsProvider(accessKey, secretKey, "")),
  config.WithEndpointResolverWithOptions(resolver),
  config.WithRegion("auto"),
 )
 if err != nil {
  log.Fatalf("failed to load config, %v", err)
 }

 uploader = manager.NewUploader(s3.NewFromConfig(awsConfig)) // Initialize S3 client
}

func UploadFile(ctx context.Context, bucket, filename string, file io.Reader) (string, error) {
 once.Do(setup)
 result, err := uploader.Upload(ctx, &s3.PutObjectInput{
  Bucket: aws.String(bucket),
  Key:    aws.String(filename),
  Body:   file,
  ACL:    "public-read",
 })
 if err != nil {
  log.Fatalf("failed to upload file, %v", err)
 }

 return result.Location, nil
} package s3client

import (
 "context"
 "github.com/aws/aws-sdk-go-v2/aws"
 "github.com/aws/aws-sdk-go-v2/config"
 "github.com/aws/aws-sdk-go-v2/credentials"
 "github.com/aws/aws-sdk-go-v2/feature/s3/manager"
 "github.com/aws/aws-sdk-go-v2/service/s3"
 "io"
 "log"
 "sync"
)

var (
 uploader *manager.Uploader
 once     sync.Once
)

func setup() {
 endpoint := "http://s3-test-endpoint.com"
 accessKey := "XVXQ8Q3QGQ9QXQ8QXQ8Q"
 secretKey := "/XQ8Q3QGQ9QXQ8QXQ8QXQ/Q3QGQ9QXQ8QXQ8QXQ8"

 resolver := aws.EndpointResolverWithOptionsFunc(func(service, region string, options ...interface{}) (aws.Endpoint, error) {
  return aws.Endpoint{
   URL:               endpoint,
   HostnameImmutable: true,
   Source:            aws.EndpointSourceCustom,
  }, nil
 })
 awsConfig, err := config.LoadDefaultConfig(context.TODO(),
  config.WithCredentialsProvider(credentials.NewStaticCredentialsProvider(accessKey, secretKey, "")),
  config.WithEndpointResolverWithOptions(resolver),
  config.WithRegion("auto"),
 )
 if err != nil {
  log.Fatalf("failed to load config, %v", err)
 }

 uploader = manager.NewUploader(s3.NewFromConfig(awsConfig)) // Initialize S3 client
}

func UploadFile(ctx context.Context, bucket, filename string, file io.Reader) (string, error) {
 once.Do(setup)
 result, err := uploader.Upload(ctx, &s3.PutObjectInput{
  Bucket: aws.String(bucket),
  Key:    aws.String(filename),
  Body:   file,
  ACL:    "public-read",
 })
 if err != nil {
  log.Fatalf("failed to upload file, %v", err)
 }

 return result.Location, nil
} Why we need to wrap third-party library? The purpose wrapper is to simplify the library’s interface, adapt it to fit our application’s specific needs, or add additional functionality. In this case we simplifies the process of uploading a file to S3 by providing a single UploadFile function that handles the setup and upload process. This makes it easier for the rest of our application to upload files to S3, as it only needs to call s3client.UploadFile with the appropriate parameters. UploadFile s3client.UploadFile Anyway, let’s explain the code a little bit Anyway, let’s explain the code a little bit We need to setup our project to connect with the cloud storage services, in the setup function there is 2 key steps that we need to highlight. setup First, in resolver parameter we need to pass aws.EndpointSourceCustom to indicate we didn’t connect to AWS endpoint. resolver aws.EndpointSourceCustom Secondly, config.WithRegion("auto") when load default config. config.WithRegion("auto") Then in UploadFile function we use once.Do(setup) to make sure setup function only called once. UploadFile once.Do(setup) Main Function We will create simple server using chi , then create POST API to upload file to our S3 Cloud Storage. Also Hello World endpoint to make sure our server is working 😆. chi POST package main

import (
 "github.com/go-chi/chi/v5"
 "github.com/yudaph/s3-integration/s3client"
 "net/http"
)

func main() {
 r := chi.NewRouter()

 r.Get("/", func(w http.ResponseWriter, r *http.Request) {
  w.Write([]byte("Hello, World!"))
 })

 r.Post("/", HandleUpload)
 http.ListenAndServe(":8080", r)
}

func HandleUpload(w http.ResponseWriter, r *http.Request) {
 file, header, err := r.FormFile("image")
 if err != nil {
  http.Error(w, err.Error(), http.StatusBadRequest)
  return
 }
 defer file.Close()

 // TODO: Do Validation

 // Upload file to S3
 filename := "suffix_" + header.Filename
 url, err := s3client.UploadFile(r.Context(), "bucket-name", filename, file)
 if err != nil {
  http.Error(w, err.Error(), http.StatusInternalServerError)
  return
 }

 w.Write([]byte(url))
} package main

import (
 "github.com/go-chi/chi/v5"
 "github.com/yudaph/s3-integration/s3client"
 "net/http"
)

func main() {
 r := chi.NewRouter()

 r.Get("/", func(w http.ResponseWriter, r *http.Request) {
  w.Write([]byte("Hello, World!"))
 })

 r.Post("/", HandleUpload)
 http.ListenAndServe(":8080", r)
}

func HandleUpload(w http.ResponseWriter, r *http.Request) {
 file, header, err := r.FormFile("image")
 if err != nil {
  http.Error(w, err.Error(), http.StatusBadRequest)
  return
 }
 defer file.Close()

 // TODO: Do Validation

 // Upload file to S3
 filename := "suffix_" + header.Filename
 url, err := s3client.UploadFile(r.Context(), "bucket-name", filename, file)
 if err != nil {
  http.Error(w, err.Error(), http.StatusInternalServerError)
  return
 }

 w.Write([]byte(url))
} Let’s explain the HandleUpload function: HandleUpload We will use r.FormFile("image") to get file from request, in other framework like mux and fiber we only get the header , so if we need to use header.Open() to get the file from header (CMIIW). r.FormFile("image") mux fiber header header.Open() file header Then do some validation, after that we simply call our wrapper function s3client.UploadFile to upload to our cloud storage. s3client.UploadFile Conclusion In this article we learn about S3 protocol, how to Integrate with Non-AWS Cloud Storage Service that supports S3 protocol, and a little bit about wrapper. Hopefully, this article can be helpful. Don’t hesitate to give criticism and suggestions if you find any mistakes in this article. Let’s connect on https://www.linkedin.com/in/yudaph/ and https://github.com/yudaph https://www.linkedin.com/in/yudaph/ https://github.com/yudaph Note: artikel berbahasa indonesia dapat ditemukan di https://medium.com/@yudaph/panduan-untuk-mengintegrasikan-dengan-layanan-cloud-storage-non-aws-yang-mendukung-protokol-s3-20624638911a https://medium.com/@yudaph/panduan-untuk-mengintegrasikan-dengan-layanan-cloud-storage-non-aws-yang-mendukung-protokol-s3-20624638911a

Guide to Integrating With Non-AWS Cloud Storage Services Supporting the S3 Protocol using Golang 

10 Steps to Write a Compelling About Me Page

is often hailed ( !) as a powerful tool for augmenting human intelligence and creativity. But what if relying on AI actually makes us less capable of formulating revolutionary ideas and innovations over time? That’s the alarming argument put forward by a new research paper that went viral on Reddit and Hacker News this week. AI by me, no less The paper’s central claim is that our growing use of AI systems like language models and knowledge bases could lead to a civilization-level threat the author dubs “knowledge collapse.” As we come to depend on AIs trained on mainstream, conventional information sources, we risk losing touch with the wild, unorthodox ideas on the fringes of knowledge — the same ideas that often fuel transformative discoveries and inventions. You can find my full analysis of the paper, some counterpoint questions, and the technical breakdown below. But first, let’s dig into what “knowledge collapse” really means and why it matters so much… AI and the problem of knowledge collapse The , authored by at the University of Poitiers, introduces the concept of as the “progressive narrowing over time of the set of information available to humans, along with a concomitant narrowing in the perceived availability and utility of different sets of information.” paper Andrew J. Peterson knowledge collapse In plain terms, knowledge collapse is what happens when AI makes conventional knowledge and common ideas so easy to access that unconventional, esoteric, “long-tail” knowledge gets neglected and forgotten. It’s not about making us dumber as individuals, but rather about eroding the healthy diversity of human thought. Peterson argues this is an existential threat to innovation because interacting with a wide variety of ideas, is how we make novel conceptual connections and mental leaps. The most impactful breakthroughs in science, technology, art, and culture often come from synthesizing wildly different concepts or applying frameworks from one domain to another. But if AI causes us to draw from an ever-narrower slice of “normal” knowledge, those creative sparks become increasingly unlikely. Our collective intelligence gets trapped in a conformist echo chamber and stagnates. In the long run, the scope of human imagination shrinks to fit the limited information diet optimized by our AI tools. especially non-mainstream ones, To illustrate this, imagine if all book suggestions came from an AI trained only on the most popular mainstream titles. Fringe genres and niche subject matter would disappear over time, and the literary world would be stuck in a cycle of derivative, repetitive works. No more revolutionary ideas from mashing up wildly different influences. Or picture a scenario where scientists and inventors get all their knowledge from an AI trained on a corpus of existing research. The most conventional, well-trodden lines of inquiry get reinforced (being highly represented in the training data), while the unorthodox approaches that lead to real paradigm shifts wither away. Entire frontiers of discovery go unexplored because our AI blinders cause us to ignore them. That’s the insidious risk Peterson sees in outsourcing more and more of our information supply and knowledge curation to AI systems that prize mainstream data. The very diversity of thought required for humanity to continue making big creative leaps gradually erodes away, swallowed by the gravitational pull of the conventional and the quantitatively popular. Peterson’s model of knowledge collapse To further investigate the dynamics of knowledge collapse, Peterson introduces a mathematical model of how AI-driven narrowing of information sources could compound across generations. The model imagines a community of “learners” who can choose to acquire knowledge by sampling from either 1) the full true distribution of information using traditional methods or 2) a discounted AI-based process that samples from a narrower distribution centered on mainstream information. Peterson then simulates how the overall “public knowledge distribution” evolves over multiple generations under different scenarios and assumptions. Some key findings: When AI provides learners with a 20% cost reduction for mainstream information, the public knowledge distribution ends up 2.3 times more skewed compared to a no-AI baseline. Fringe knowledge gets rapidly out-competed. Recursive interdependence between AI systems (e.g. an AI that learns from the outputs of another AI and so on) dramatically accelerates knowledge collapse over generations. Errors and biases toward convention compound at each step. Offsetting collapse requires very strong incentives for learners to actively seek out fringe knowledge. They must not only recognize the value of rare information but go out of their way to acquire it at personal cost. Peterson also connects his model to concepts like “information cascades” in social learning theory and the economic incentives for AI companies to prioritize the most commercially applicable data. These all suggest strong pressures toward the conventional in an AI-driven knowledge ecosystem. Critical Perspective and Open Questions Peterson’s arguments about knowledge collapse are philosophically provocative and technically coherent. The paper’s formal model provides a helpful framework for analyzing the problem and envisioning solutions. However, I would have liked to see more direct real-world evidence of these dynamics in action, beyond just a mathematical simulation. Empirical metrics for tracking diversity of knowledge over time might help test and quantify the core claims. The paper is also light on addressing potential counterarguments. Some key open questions in my mind: Can’t expanded AI access to knowledge still be a net positive in terms of innovation even if it skews things somewhat toward convention? Isn’t lowering the barriers to learning more important? What collective policies, incentives or choice architectures could help offset knowledge collapse while preserving the efficiency gains of AI knowledge tools? How can we merge machine intelligence with comprehensive information? Might the economic incentives of AI companies shift over time to place more value on rare data and edge cases as mainstream knowledge commoditizes? Could market dynamics actually encourage diversity? Proposed solutions like reserving AI training data and individual commitment to seeking fringe knowledge feel only partially effective to me. Solving this seems to require coordination at a social and institutional level, not just individual choices. We need shared mechanisms to actively value and preserve the unconventional. I’m also curious about the role decentralized, open knowledge bases might play as a counterweight to AI-driven narrowing. Could initiatives like Wikidata, , or provide a bulwark against knowledge collapse by making marginal information more accessible? There’s lots of room for further work here. arXiv IPFS The stakes for our creative future Ultimately, Peterson’s paper is a powerful warning about the hidden dangers lurking in our rush to make AI the mediator of human knowledge, even for people like me who are very pro-AI. In a world reshaped by machine intelligence, preserving the chaotic, unruly diversity of thought is an imperative for humanity’s continued creativity and progress. We might be smart to proactively design our AI knowledge tools to nurture the unconventional as well as efficiently deliver the conventional. We need strong safeguards and incentives to keep us connected to the weirdness on the fringes. Failing to do so risks trapping our collective mind in a conformist bubble of our own design. So what do you think — are you concerned about knowledge collapse in an AI-driven culture? What strategies would you propose to prevent it? Let me know your thoughts in the comments! And if this intro piqued your interest, consider becoming a paid subscriber to get the full analysis and support my work clarifying critical AI issues. If you share my conviction that grappling with these ideas is essential for our creative future, please share this piece and invite others to the discussion. The diversity of human knowledge isn’t some abstract nice-to-have — it’s the essential catalyst for humanity’s most meaningful breakthroughs and creative leaps. Preserving that vibrant range of ideas in the face of hyper-efficient AI knowledge curation is a defining challenge for our future as an innovative species! AIModels.fyi is a reader-supported publication. To receive new posts and support my work and be sure to follow me on ! subscribe Twitter

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Since 2021

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WITHE

withe.co

1-10 employees

Since 2021

COMPANY RANKING

WITHE

EVERGREEN INDEX #346

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