The Fool on a Precipice

The Impossible Challenge of Achieving Carbon Zero by 2050: The Impact of AI

The ambitious goal of achieving carbon neutrality by 2050 is a pretty over-confident idea, Norton like that of the manic depressive when they are on the upside, although many organizations such as UNESCO and the United Nations and many large companies make official statements that they are taking steps in mitigating the effects of climate change, they are in my humble opinion, empty statements that cannot be fulfilled. This is because of the rapid advancement, and widespread adoption of artificial intelligence (AI) pose a significant challenge to this objective.

Are the changes that human influence upon global environment going to turn our world into a Daliesque Mutation? has the process of entropy begun with human civilization? The environment and life on earth will always adapt itself but throughout that there will be extinctions. Is this the next major extinction?

The Carbon Footprint of Global AI Chat Traffic

The rapid growth of AI-powered chat applications has led to a significant increase in the number of prompts processed by these systems. This surge in global AI chat traffic has direct implications for energy consumption and carbon emissions.

Understanding the Impact

To estimate the environmental impact of AI chat traffic, we can consider the following factors:

  1. Prompt Frequency: Based on current estimates, approximately 10,000 AI prompts are sent per minute worldwide.This translates to over 14 million prompts per day.
  2. Average Carbon Footprint: As previously discussed, the estimated average carbon footprint for a single AI prompt and response is around 4.32 grams of CO2.
  3. Daily Emissions: Multiplying the daily prompt count by the average carbon footprint, we can estimate the total daily CO2 emissions from AI chat traffic.

Estimated Daily CO2 Emissions

Prompt Frequency Average CO2 Emissions Daily CO2 Emissions
14,400,000 prompts/day 4.32 grams/prompt 62,208,000 grams/day

To better understand the scale of these emissions, we can convert them to metric tons:

  • 62,208,000 grams = 62.208 metric tons.

Based on these estimates, global AI chat traffic contributes approximately 62.2 metric tons of CO2 emissions per day.While this figure may seem relatively small compared to other industries, it’s important to note that the rapid growth of AI and the increasing frequency of AI chat usage could lead to a significant increase in these emissions over time.

Addressing the Environmental Impact

To mitigate the environmental impact of AI chat, it is crucial to focus on energy efficiency, renewable energy sources, and the development of more sustainable AI technologies. By adopting these strategies, we can help ensure that the benefits of AI are realized while minimizing its negative environmental consequences.

Will the environment be friendly in the future?

AI’s Energy Consumption: AI, particularly large language models and deep learning algorithms, requires substantial computational power to train and operate. This intensive processing often involves the use of specialized hardware, such as GPUs and TPUs, which consume significant amounts of electricity. As AI applications become more complex and sophisticated, the energy demands associated with them are likely to increase further.

Human unfriendly environment

Humans face die or future environmentally speaking, will we have to protect ourselves from the outside air due to carbon animations destroying our environment? Will we have to protect ourselves from ultraviolet rays and other dangerous wave emissions, as well as put up with the ever changing weather through global warming? The use of artificial intelligence on a massively incremental rate and the energy expenditure involved says yes we are doomed to such a future.

Data Centers and Infrastructure: The growth of AI has led to a surge in demand for data centers, which house the servers and storage necessary to support AI applications. These data centers consume vast amounts of energy, primarily for cooling and powering their equipment.The expansion of data center infrastructure to accommodate AI workloads contributes to increased carbon emissions.

AI-Driven Industries: AI is being integrated into various industries, including transportation, manufacturing, and logistics. As AI-powered technologies become more prevalent, they will likely lead to changes in production processes and consumer behavior,which could have both positive and negative environmental implications. For example, while AI can optimize transportation routes to reduce fuel consumption, it may also contribute to increased demand for goods and services,leading to higher overall emissions.

The Exponential Growth of AI: The pace of AI development is accelerating rapidly, with new and more powerful models being introduced at a frequent rate. This exponential growth in AI capabilities means that the energy demands associated with AI are also likely to increase exponentially. If left unchecked, this trend could significantly undermine efforts to achieve carbon neutrality.

The Obvious Outcome; While AI offers tremendous potential for addressing various global challenges, it also presents a significant hurdle to achieving carbon zero by 2050. The energy-intensive nature of AI, coupled with its rapid growth and widespread adoption, makes it next to impossible to envision a scenario, where the environmental impacts of AI can be fully mitigated by 2050.This can clearly not be achieved without substantial technological advancements and policy changes. To achieve this over-ambitious goal, it will be necessary to develop more energy-efficient AI technologies, invest in renewable energy sources, and implement effective carbon reduction strategies across all sectors of the economy. How and if we are going to do this however, is in my humble opinion, extremely doubtful, if not completely unlikely. Most industries are racing to get on the AI gravy train, and making public statements about their efforts to help the environment, while actually destroying it more than ever before. Those who are alive in 2050 will know the truth of the outcome, and if efforts were made or not. As they say;

Time will Tell

old father time

The Bottlenecked Boom: AI’s Computational Limits and the Sustainability Charade

Artificial intelligence (AI) has become a ubiquitous term, synonymous with revolutionary advancements in various fields. From facial recognition software to self-driving cars, AI promises a future brimming with automation and efficiency. However, this narrative often overlooks a crucial aspect: the limitations of computational power and its impact on AI’s sustainability. This essay argues that the AI industry is experiencing a bottleneck due to the inability of computing power to keep pace with the exponential growth of AI capabilities and data usage. This lack of transparency regarding the environmental cost of AI development poses a significant threat to the long-term viability of the field and the planet itself.

AI Language Model Bottlenecks with Computing. Neural Network Evolution is Faster than Moore's Law

AI Language Model Bottlenecks with Computing. Neural Network Evolution is Faster than Moore’s Law

The bedrock of AI’s progress lies in its ability to process massive amounts of data. This data fuels complex algorithms, allowing them to learn and adapt. However, the processing power required for such tasks is immense and constantly increasing. Moore’s Law, which predicted a doubling of transistors in integrated circuits every two years, is slowing down. This translates to a diminishing rate of improvement in processor performance, creating a significant barrier to scaling up current AI models.

Truth Truth Truth! Crieth the Lord of the Abyss of Hallucinations

Truth Truth Truth! Crieth the Lord of the Abyss of Hallucinations.

Furthermore, even if we overcome these hardware limitations, the energy consumption of running these powerful computers is a looming concern. The environmental footprint of AI research and development is often downplayed by the industry. Studies have shown that a single training session for a large language model like me can generate carbon emissions equivalent to several car trips. This becomes a frightening reality when we consider the billions of daily interactions users have with AI assistants like Siri, powered by similar technology.

BIG Data Bottlenecks with Computational Ability

BIG Data Bottlenecks with Computational Ability

The industry’s silence on this critical issue amplifies the problem. Consumers remain largely unaware of the environmental consequences of their everyday interactions with AI. Transparency is paramount. Imagine a world where Siri informs users that their simple question contributed to a miniscule, yet cumulative, carbon footprint. Such awareness could foster a shift towards more responsible AI development and usage.

The potential consequences are dire. Unsustainable AI advancement could lead to a scenario where the very technology designed to improve our lives contributes to a planet devoid of life forms altogether. We cannot afford to become extinct before we even reach the peak of AI capabilities.

Data Sauce-Source

A bottle of “data sauce” 🌐🍾: The sheer volume of “sauce” (source data) overwhelms our computing power, causing a bottleneck in processing. 🖥️

The way forward requires a multi-pronged approach. Researchers need to prioritize the development of more energy-efficient algorithms and hardware. Additionally, the industry must be held accountable for transparently communicating the environmental costs of AI development and encouraging responsible AI practices. Consumers, too, can play a role by demanding sustainable AI solutions.

Computing Bottlenecks can send even the Elders of AI into a Rant

Computing Bottlenecks can send even the Elders of AI into a Rant, as their upscaling reaches its limit, before their promised capabilities of AI are fulfiled, and stakeholders pull out.

One can assume that it is hence highly probable, that the current boom in AI development rests on a shaky foundation of limited computational power. The industry’s silence regarding the environmental costs associated with this rapidly growing field presents a significant threat to our planet’s future. By acknowledging and addressing this bottleneck, we can pave the way for a more sustainable and responsible future for AI, ensuring that technology serves humanity without jeopardizing its very existence.

Below; the Biggest Pile of (F)Lies/BS One Ever Heard, and a trie look at Tim Cooke’s ability to ‘Pokerface Mother Nature’

Apples, Smileys, Frownies, and Brownies

Apples, Smileys, Frownies, and Brownies

Mind-Reading Technology: the Potential Dangers of Facebook Meta’s Latest Advancements:

In recent developments, Facebook Meta has introduced groundbreaking technology that claims to read users’ thoughts through noninvasive sensors embedded in their headsets. While this may seem like a leap into the future, the potential dangers associated with mind-reading technology warrant a thorough examination. This academic blog post seeks to dissect the risks, ethical implications, and potential abuse scenarios that could arise from such technological advancements.

Manchurian VR headset

Manchurian VR headset – Everybody can be a Manchurian Candidate!

1. Bi-Directional Communication: The Double-Edged Sword

One of the primary concerns is the bidirectional capability of the technology. While it promises to decode and understand users’ thoughts, the ability to also insert thoughts into the user’s mind introduces a host of ethical and privacy issues. The risk of unwanted influence, manipulation, or even coercion becomes a significant consideration.

The Dark Side: Mind Control Concerns

While the potential applications of Meta’s AI breakthrough are awe-inspiring, a shadow looms over the horizon, casting doubt on the ethical implications surrounding the technology’s bidirectional communication capabilities. This facet raises profound concerns about the potential for misuse, specifically in the realm of mind control.

The Insidious Potential for Manipulation:

The bidirectional communication inherent in Meta’s mind-reading technology holds the key to a Pandora’s box of potential nefarious uses. Delving into the darker recesses of imagination, one can envision scenarios where this technology might be exploited to alter people’s perceptions, control their thoughts, and manipulate their behaviors.

Meta’s AI Breakthrough: Decoding Visual Representations and the Ethical Implications

1. Commercial Exploitation:

  • Advertisers armed with the ability to decipher thoughts could tailor advertising content with unprecedented precision. This goes beyond mere customization; it’s the potential to implant desires, creating a consumer base driven by suggestions inserted directly into their subconscious.

2. Political Propaganda and Influence:

  • In the political landscape, the technology could be weaponized to sway public opinion. Crafting political narratives and ideologies that align with specific agendas might extend beyond conventional advertising tactics, infiltrating the very fabric of individual beliefs.

3. Innocent Unwitting Agents:

  • Drawing inspiration from fictional narratives like ‘The Manchurian Candidate,’ there’s a chilling prospect of innocent individuals being unwittingly turned into agents of unintended consequences. Covertly manipulating thoughts and behaviors could potentially create unsuspecting pawns in geopolitical or corporate power plays.

4. Manufacturing Social Unrest:

  • By manipulating collective thoughts and sentiments, this technology might be exploited to manufacture social unrest or dissent. The ability to influence a population’s perceptions of events could be wielded as a tool for sowing discord or diverting attention from critical issues.

5. Creation of Unintentional Threats:

  • Perhaps the most chilling prospect lies in the unintended consequences of mind control. Individuals, under the influence of external forces, might inadvertently pose threats to themselves or others, all without awareness or consent.

6. Cultural and Ideological Domination:

  • The ability to manipulate thoughts extends to influencing cultural narratives and ideological landscapes. This could lead to a dystopian scenario where dominant powers shape collective beliefs and erase dissenting voices, stifling diversity and innovation.
Telepathy by Headset - Bi-Directional Communication

Telepathy by Headset – Bi-Directional Communication

2. Privacy Erosion: From Personal to Corporate Control

With the ability to decipher thoughts comes the inevitable erosion of privacy. Users’ most intimate and personal thoughts are at risk of being exposed, creating a new frontier for privacy invasion. Beyond the individual, the potential for corporations to exploit this information for targeted advertising and behavioral manipulation is a considerable concern.

Portrait of a Privacy Killer

Portrait of a Privacy Killer

3. Media Tailoring and Influencing Behavior

The integration of media tailored to users’ thoughts poses a unique threat. Advertisements, news, and other content can be customized to align with users’ innermost desires or fears. This level of tailored content could be weaponized for corporate gain or, in more sinister scenarios, to control public opinion.

4. Mind Control in Political Contexts

The intersection of mind-reading technology and political influence raises alarming possibilities. Rogue nations or unethical corporations could leverage this technology for political gain, manipulating public opinion, or even creating what could be termed as ‘mind-controlled’ individuals. The potential for these tools to be used in information warfare cannot be underestimated.

Mind Controlled Zombies wearing VR Headsets. Meta Vs US!

Mind Controlled Zombies

5. The Need for Ethical Frameworks and Regulation

As we currently sail uncharted waters in this new technological development, and the implications of mind-reading technology, the importance of establishing ethical frameworks and robust regulations cannot be overstated. Safeguards against abuse, guidelines for consent, and limitations on the use of this technology must be established to protect individuals and societies from unintended consequences. The advent of mind-reading technology by Facebook Meta brings with it unprecedented opportunities and risks. While the technology’s potential benefits are clear, the dangers of unintended misuse, from corporate exploitation to political manipulation, demand immediate attention.

XXCK The Zuckerverse

XXCK The Zuckerverse

This article serves as a call to action for the IT community, policymakers, and the public to engage in a collective effort to establish ethical guidelines and regulations to mitigate these risks before they become a reality. Only through a comprehensive and proactive approach can we ensure that this powerful technology is harnessed for the greater good rather than manipulated for nefarious purposes.

Zuckerberg Wants to Control Human Minds

Zuckerberg Wants to Control Human Minds

2FA - Cross device Authentication Vulnerabilities

2FA (Two-Factor Authentication): Privacy Concerns and Unethical Practices

Two-factor authentication (2FA) has gained widespread recognition as a vital tool in enhancing online security. While its primary goal is to protect user accounts from unauthorized access, there exists a darker side to 2FA that raises privacy concerns and the potential for unethical practices by developers and companies. This essay delves into the myriad of nefarious scenarios and usage scenarios that can compromise the privacy of end-users.

A Solid Example of Suspicious Attempts to get You to Opt-in to 2 Factor Authentication and connect your phone with other devices;

Fortnite 2 Factor Authentication Opt In Scam

Fortnite 2 Factor Authentication Opt In Scam

Fortnite using the “Boogie Down” emote offer to encourage users to enable 2FA is in my opinion, a notable example of how companies leverage incentives to enhance security while also gathering valuable user data. By enticing users to enable 2FA through rewards such as in-game items, Fortnite claims it not only enhances account security but also gains insights into user behavior across multiple devices. This strategy is officially supposed to help the company better understand its player base and potentially improve the overall gaming experience. But it can also be used to manipulate the user by getting them addicted to DLCs, Avatars, Extras, and other merchandise, addons, and products which they know the user won’t be able to resist.

Here are ten possible scenarios where a worldwide AAA online Mass Multiplayer game company, like Fortnite, might use aggressive tactics to encourage users to opt-in to 2FA and then potentially abuse the data or manipulate consumers:

  1. Data Harvesting for Advertising: The company may collect data on user behavior across multiple devices, creating detailed profiles to serve highly targeted advertisements, thereby increasing advertising revenue.
  2. In-Game Purchase Manipulation: By tracking user interactions, the company could manipulate in-game offers and discounts to encourage additional in-game purchases, exploiting users’ preferences and spending habits.
  3. Content Addiction and Spending: The company might use behavioral insights to design content and events that exploit users’ tendencies, keeping them engaged and spending money on downloadable content (DLCs) and microtransactions.
  4. Influence on Game Balancing: Data gathered through 2FA could influence game balancing decisions, potentially favoring players who spend more or exhibit specific behaviors, leading to unfair gameplay experiences.
  5. Pushing Subscription Services: The company may use behavioral data to identify potential subscribers and relentlessly promote subscription services, driving users to sign up for ongoing payments.
  6. Social Engineering for User Engagement: Leveraging knowledge of players’ habits, the company could employ social engineering techniques to manipulate users into promoting the game to friends, potentially leading to more players and revenue.
  7. Tailored Product Launches: The company might strategically time and tailor product launches based on user behavior, encouraging purchases at specific intervals, even if users hadn’t planned to buy.
  8. Personalized Content Restrictions: Behavioral data could be used to selectively restrict content or features for users who don’t meet certain criteria, pushing them to spend more to unlock these features.
  9. Cross-Promotion and Monetization: The company could collaborate with other businesses to cross-promote products or services to users based on their tracked preferences, generating additional revenue streams.
  10. Reward Manipulation: The company may adjust the distribution of in-game rewards based on user behavior, encouraging users to spend more time and money on the platform to earn desired items.
Fortnite 2FA Emote Opt In Trick

Fortnite 2FA Emote Opt In Trick

These scenarios emphasize the potential for companies to use aggressive tactics and data collection through 2FA to maximize profits, often at the expense of user privacy and potentially manipulating consumer behavior for financial gain. It underscores the importance of user awareness and informed decision-making when it comes to opting in to 2FA and sharing personal data with online gaming platforms. However, it’s crucial for users to be aware of the data collection practices associated with such incentives and understand how their information may be used. Transparency and clear communication regarding data usage are essential to maintain trust between users and the platform. In this context, users should consider the trade-off between the benefits of enhanced security and potential data collection, making informed decisions about whether to enable 2FA based on their preferences and concerns regarding privacy and data usage.

1. Data Profiling and Surveillance

One of the most ominous aspects of 2FA implementation is the potential for data profiling and surveillance. Companies can leverage 2FA as a means to collect extensive user data, including device locations, usage patterns, and behavioral data. This information can be used for targeted advertising, behavioral analysis, and potentially even sold to third parties without user consent. To Illustrate, here are 10 possible nefarious scenarios where 2FA (Two-Factor Authentication) could be exploited for unethical purposes or invasion of privacy:

  1. Location Tracking: Companies could use 2FA to continuously track the location of users through their devices, building detailed profiles of their movements for intrusive marketing purposes.
  2. Behavioral Profiling: By analyzing the times and frequency of 2FA logins, companies could build extensive behavioral profiles of users, potentially predicting their actions and preferences.
  3. Data Correlation: Combining 2FA data with other user information, such as browsing habits and social media interactions, could enable companies to create comprehensive dossiers on individuals, which may be sold or used without consent.
  4. Phishing Attacks: Malicious actors might exploit 2FA to gain access to users’ personal information, tricking them into revealing their second authentication factor through fake login screens.
  5. Targeted Ads: Companies could leverage 2FA data to bombard users with highly targeted and invasive advertisements based on their recent activities and location history.
  6. Surveillance Capitalism: 2FA data could be used to monitor users’ offline activities, creating a complete picture of their lives for profit-driven surveillance capitalism.
  7. Third-Party Sales: Without proper safeguards, companies might sell 2FA data to third parties, potentially leading to further unauthorized use and misuse of personal information.
  8. Blackmail: Malicious entities could use 2FA information to threaten individuals with the exposure of sensitive data, extorting money or personal favors.
  9. Stalking: Stalkers and abusers could exploit 2FA to track and harass their victims, using location and behavioral data to maintain control.
  10. Government Surveillance: In some cases, governments may pressure or require companies to provide 2FA data, enabling mass surveillance and privacy violations on a massive scale.

These scenarios emphasize the importance of strong data protection laws, ethical use of personal data, and user consent when implementing 2FA systems to mitigate such risks.

2FA Security Risks

2. Government Demands for Access

In some cases, governments or malicious actors may exert pressure on companies to gain access to 2FA data for surveillance purposes. This can infringe upon individuals’ privacy rights and result in unauthorized surveillance on a massive scale. Once more to Illustrate, here are 10 possible nefarious scenarios where government demands for access to 2FA data could be exploited for unethical purposes or invasion of privacy:

  1. Political Targeting: Governments may use access to 2FA data to identify and target political dissidents, activists, or opposition members, leading to surveillance, harassment, or even imprisonment.
  2. Mass Surveillance: Governments could implement widespread 2FA data collection to surveil entire populations, creating a culture of constant monitoring and chilling freedom of expression.
  3. Suppression of Free Speech: The threat of government access to 2FA data could lead to self-censorship among citizens, inhibiting open discourse and free speech.
  4. Blackmail and Extortion: Corrupt officials might use 2FA data to gather compromising information on individuals and then use it for blackmail or extortion.
  5. Journalist and Source Exposure: Investigative journalists and their sources could be exposed, endangering press freedom and the ability to uncover corruption and misconduct.
  6. Discrimination and Profiling: Governments could use 2FA data to discriminate against certain groups based on their religious beliefs, ethnicity, or political affiliations.
  7. Political Leverage: Access to 2FA data could be used to gain leverage over individuals in positions of power, forcing them to comply with government demands or risk exposure.
  8. Invasive Border Control: Governments might use 2FA data to track individuals’ movements across borders, leading to unwarranted scrutiny and profiling at immigration checkpoints.
  9. Health and Personal Data Misuse: Government access to 2FA data could lead to unauthorized collection and misuse of individuals’ health and personal information, violating medical privacy.
  10. Illegal Detention: Misuse of 2FA data could result in wrongful arrests and detentions based on false or fabricated evidence, eroding the principles of justice and due process.

Government Access to Personal data Requests

Governments may make demands for access to various types of data and information for a variety of reasons, often within the framework of legal processes and national security concerns. Here’s an explanation of how and why governments may make demands for access:

  1. Legal Frameworks: Governments establish legal frameworks and regulations that grant them the authority to access certain types of data. These laws often pertain to national security, law enforcement, taxation, and other public interests. Examples include the USA PATRIOT Act in the United States and similar legislation in other countries.
  2. Law Enforcement Investigations: Government agencies, such as the police or federal law enforcement agencies, may request access to data as part of criminal investigations. This can include access to financial records, communication logs, or digital evidence related to a case.
  3. National Security Concerns: Governments have a responsibility to protect national security, and they may seek access to data to identify and mitigate potential threats from foreign or domestic sources. Access to communication and surveillance data is often critical for these purposes.
  4. Taxation and Financial Oversight: Government tax authorities may demand access to financial records, including bank account information and transaction history, to ensure compliance with tax laws and regulations.
  5. Public Safety and Emergency Response: In emergency situations, such as natural disasters or public health crises, governments may access data to coordinate response efforts, locate missing persons, or maintain public safety.
  6. Counterterrorism Efforts: Governments may seek access to data to prevent and investigate acts of terrorism. This includes monitoring communication channels and financial transactions associated with terrorist organizations.
  7. Regulatory Compliance: Certain industries, such as healthcare and finance, are heavily regulated. Governments may demand access to data to ensure compliance with industry-specific regulations, protect consumer rights, and prevent fraudulent activities.
  8. Protection of Intellectual Property: Governments may intervene in cases of intellectual property theft, counterfeiting, or copyright infringement, demanding access to data to support legal actions against violators.
  9. Surveillance Programs: Some governments conduct surveillance programs to monitor digital communications on a large scale for national security reasons. These programs often involve partnerships with technology companies or data service providers.
  10. Access to Social Media and Online Platforms: Governments may request data from social media platforms and online service providers for various purposes, including criminal investigations, monitoring extremist content, or preventing the spread of misinformation.

It’s important to note that the extent and nature of government demands for access to data vary from one country to another and are subject to local laws and regulations. Moreover, the balance between national security and individual privacy is a contentious issue, and debates often arise around the scope and limits of government access to personal data. Consequently, governments must strike a balance between legitimate security concerns and the protection of individual rights and privacy.

These scenarios highlight the critical need for strong legal protections, oversight mechanisms, and transparency regarding government access to sensitive data like 2FA information to safeguard individual rights and privacy.

3. Exploiting Data Breaches

Data breaches are an unfortunate reality in today’s digital age. Even with the best intentions, companies can experience breaches that expose user information, including 2FA data. Malicious individuals may exploit these breaches for identity theft, fraud, or other illegal activities. To make the risks understandable, here are 10 possible nefarious scenarios where data breaches, including the exposure of 2FA data, could be exploited for unethical purposes, criminal activities, or invasion of privacy:

  1. Identity Theft: Malicious actors could use stolen 2FA data to impersonate individuals, gain unauthorized access to their accounts, and commit identity theft for financial or personal gain.
  2. Financial Fraud: Access to 2FA data may allow criminals to initiate fraudulent financial transactions, such as draining bank accounts, applying for loans, or making unauthorized purchases.
  3. Account Takeover: Hackers could compromise various online accounts by bypassing 2FA, potentially gaining control over email, social media, or even cryptocurrency wallets.
  4. Extortion: Criminals might threaten to expose sensitive information obtained from data breaches unless victims pay a ransom, leading to extortion and emotional distress.
  5. Stalking and Harassment: Stolen 2FA data could be used to track and harass individuals, invading their personal lives and causing significant emotional harm.
  6. Illegal Brokerage of Data: Criminal networks could sell stolen 2FA data on the dark web, leading to further exploitation and unauthorized access to personal information.
  7. Healthcare Fraud: 2FA breaches in healthcare systems could result in fraudulent medical claims, endangering patient health and privacy.
  8. Corporate Espionage: Competing businesses or nation-states could exploit 2FA breaches to gain sensitive corporate information, such as trade secrets or research data.
  9. Social Engineering: Criminals might use stolen 2FA data to manipulate victims, convincing them to disclose additional sensitive information or perform actions against their will.
  10. Reputation Damage: The release of personal information from data breaches, including 2FA details, could tarnish an individual’s reputation and lead to long-lasting consequences in both personal and professional life.

These scenarios underscore the critical importance of robust cybersecurity measures, rapid breach detection and response, and user education on safe online practices to mitigate the risks associated with data breaches and protect individuals’ privacy and security.

4. Phishing Attacks

Cybercriminals can manipulate 2FA processes as part of phishing attacks. By posing as legitimate entities, attackers may request 2FA codes to gain unauthorized access to user accounts, exposing sensitive information to malicious intent. To demonstrate the possible ways this can be implemented, here are 10 possible nefarious scenarios where phishing attacks, including the manipulation of 2FA processes, could be implemented for various goals, gains, or purposes:

  1. Corporate Espionage: Phishers could target employees of a competitor, posing as colleagues or executives, to extract sensitive corporate information, trade secrets, or proprietary data.
  2. Identity Theft: Attackers might impersonate a user’s bank, government agency, or social media platform to steal personal information, such as Social Security numbers or login credentials, for identity theft.
  3. Financial Fraud: Phishers could send fake 2FA requests while posing as financial institutions, tricking victims into revealing their codes and gaining access to bank accounts or investment portfolios.
  4. Political Disinformation: In politically motivated phishing campaigns, attackers may pose as news organizations or government agencies to spread false information, manipulate public opinion, or influence elections.
  5. Ransomware Deployment: Phishers could deliver ransomware payloads after convincing victims to input their 2FA codes, locking them out of their systems and demanding payment for decryption.
  6. Data Breach Access: Malicious actors might use phishing to gain access to employees’ email accounts within an organization, which could lead to a data breach or the theft of sensitive company data.
  7. Fraudulent Transactions: Attackers posing as e-commerce websites or payment processors could trick users into approving unauthorized transactions using manipulated 2FA prompts.
  8. Credential Harvesting: Phishers could target university or corporate email accounts to harvest login credentials, gaining access to academic research, intellectual property, or confidential documents.
  9. Social Media Takeover: By sending fake 2FA requests from popular social media platforms, attackers could gain control of users’ accounts, spreading false information or conducting cyberbullying campaigns.
  10. Government Infiltration: Nation-state actors might use phishing attacks to compromise government employees’ accounts, potentially gaining access to classified information or influencing diplomatic relations.

These examples highlight the importance of user education, email filtering, and multi-layered security measures to detect and prevent phishing attacks that exploit 2FA processes for various malicious purposes.

Visual mind map of the architecture of data monetization

Visual mind map of the architecture of data monetization

5. Monetization of User Data

Some companies may prioritize data monetization over user privacy. By pushing for 2FA, these entities gather more valuable user information that can be monetized through various channels, without users fully understanding the extent of data collection. To help the reader understand this, I will give 10 examples of  possible nefarious scenarios that illustrate the extent and depth to which personal information can be brokered in the User-Data Brokerage Industry:

  1. Detailed Financial Profiles: Data brokers compile extensive financial profiles of individuals, including income, spending habits, investment preferences, and debt levels. This information can be sold to financial institutions for targeted marketing and credit assessments.
  2. Behavioral Predictions: By analyzing user behavior, data brokers create predictive models that forecast individuals’ future actions, such as purchasing decisions, travel plans, or lifestyle changes. This data is valuable for advertisers and marketers.
  3. Healthcare Histories: Data brokers may obtain and sell sensitive health information, including medical conditions, prescription histories, and insurance claims, potentially leading to discriminatory practices in insurance or employment.
  4. Legal Records: Personal legal records, such as criminal histories, lawsuits, and court judgments, can be collected and sold, affecting an individual’s reputation and opportunities.
  5. Political Affiliations: Data brokers gather data on users’ political beliefs, affiliations, and voting histories, which can be exploited for political campaigns or voter suppression efforts.
  6. Psychological Profiles: User data is used to create psychological profiles, revealing personality traits, emotional states, and vulnerabilities, which can be leveraged for targeted persuasion or manipulation.
  7. Relationship Status and History: Personal information about relationships, including marital status, dating history, and family dynamics, can be exploited for advertising, relationship counseling, or even blackmail.
  8. Job Performance: Data brokers collect employment records, performance evaluations, and work history, which can impact career opportunities and job offers.
  9. Travel and Location History: Brokers track users’ travel history, including destinations, frequency, and preferences, which can be used for targeted travel-related advertising or even surveillance.
  10. Education and Academic Records: Academic records, degrees earned, and educational achievements are collected and sold, potentially affecting job prospects and educational opportunities.

These scenarios underscore the ethical concerns surrounding the extensive data collection and monetization practices of data brokers and the need for robust data protection regulations and transparency to safeguard individual privacy and prevent abuse.

6. Intrusive Tracking and Profiling

2FA can enable companies to build detailed profiles of users, including their habits, preferences, and locations. This intrusive tracking and profiling can be used to manipulate user behavior and extract further data, all without transparent consent. So heads up, and educate yourselves! To assist you with this, here are ten examples of how companies, advertisers, governments, or independent parties with special interests might use or abuse intrusive tracking and profiling technologies to manipulate human behavior for specific desired results:

  1. Targeted Advertising: Companies can use detailed user profiles to deliver highly personalized advertisements that exploit individuals’ preferences, making them more likely to make impulse purchases.
  2. Political Manipulation: Governments or political campaigns may leverage profiling to identify and target voters with tailored messages, swaying public opinion or voter behavior.
  3. Behavioral Addiction: App and game developers might use user profiles to design addictive experiences that keep individuals engaged and coming back for more, generating ad revenue or in-app purchases.
  4. Surveillance and Social Control: Governments can employ profiling to monitor citizens’ activities, stifling dissent or controlling behavior through the fear of being watched.
  5. Credit Scoring and Discrimination: Financial institutions may use profiling to assess creditworthiness, potentially discriminating against individuals based on factors like shopping habits or online activities.
  6. Healthcare Manipulation: Health insurers could adjust premiums or deny coverage based on profiling data, discouraging individuals from seeking necessary medical care.
  7. Manipulative Content: Content providers may use profiles to serve content designed to provoke emotional responses, encouraging users to spend more time online or share content with others.
  8. Employment Discrimination: Employers might make hiring decisions or promotions based on profiling data, leading to unfair employment practices.
  9. Criminal Investigations: Law enforcement agencies can use profiling to target individuals for investigation, potentially leading to wrongful arrests or harassment of innocent people.
  10. Reputation and Social Standing: Profiling data can be used to tarnish an individual’s reputation, either through targeted character assassination or by uncovering potentially embarrassing personal information.

These examples highlight the ethical concerns associated with intrusive tracking and profiling technologies and the potential for manipulation and abuse by various entities. It underscores the importance of strong data protection laws, transparency, and user consent in mitigating such risks and protecting individual privacy and autonomy.

Confirm with OTP - Nahhh

7. Phone Number Compromise and Security Risks

When a network or service requires a phone number for two-factor authentication (2FA) and their database is compromised through a data breach, it can lead to the exposure of users’ phone numbers. This scenario opens users up to various security risks, including:

  1. Phishing Attacks: Hackers can use exposed phone numbers to craft convincing phishing messages, attempting to trick users into revealing sensitive information or login credentials.
  2. Unwanted Advertising: Once hackers have access to phone numbers, they may use them for spam messages and unwanted advertising, inundating users with unsolicited content.
  3. Scam Phone Calls: Phone numbers exposed through a data breach can be targeted for scam phone calls, where malicious actors attempt to deceive users into providing personal or financial information.
  4. SIM Swapping: Hackers can attempt to perform SIM swapping attacks, where they convince a mobile carrier to transfer the victim’s phone number to a new SIM card under their control. This allows them to intercept 2FA codes and gain unauthorized access to accounts.
  5. Identity Theft: Exposed phone numbers can be used as a starting point for identity theft, with attackers attempting to gather additional personal information about the user to commit fraud or apply for loans or credit cards in their name.
  6. Harassment and Stalking: Malicious individuals may use the exposed phone numbers for harassment, stalking, or other forms of digital abuse, potentially causing emotional distress and safety concerns for victims.
  7. Social Engineering: Attackers armed with users’ phone numbers can engage in social engineering attacks, convincing customer support representatives to grant access to accounts or change account details.
  8. Voice Phishing (Vishing): Exposed phone numbers can be used for voice phishing, where attackers impersonate legitimate organizations or authorities over phone calls, attempting to manipulate victims into revealing sensitive information.
  9. Credential Stuffing: Attackers may attempt to use the exposed phone numbers in combination with other stolen or leaked credentials to gain unauthorized access to various online accounts, exploiting reused passwords.
  10. Data Aggregation: Exposed phone numbers can be aggregated with other breached data, creating comprehensive profiles of individuals that can be used for further exploitation, fraud, or identity-related crimes.
How Credential Stuffing is Done

How Credential Stuffing is Done

These security risks highlight the importance of robust security practices, such as regularly updating passwords, monitoring accounts for suspicious activity, and being cautious of unsolicited messages and calls, to mitigate the potential consequences of phone number exposure in data breaches, and should be considered a possible security vulnerability. I believe this underscores the importance of securing both personal information and phone numbers, as the compromise of this data can have far-reaching consequences beyond the immediate breach. It also emphasizes the need for alternative methods of 2FA that don’t rely solely on phone numbers to enhance security while protecting user privacy.

Credential Stuffing Explained

In Summary;

While two-factor authentication is often portrayed as a security measure aimed at safeguarding user accounts, it is crucial to recognize the potential for misuse and unethical practices. The dark scenarios presented here underscore the need for users to be vigilant about their online privacy, understand the implications of enabling 2FA, and make informed decisions about how their data is used and protected in the digital realm. As technology continues to evolve, the battle between privacy and security remains a central concern, and it is essential for users to stay informed and proactive in safeguarding their personal information.

Apple iPhone exploding into meaninglessness

The impossibility of solving the problem of numbers, and the two ways of writing them

Confusing dictated text for applications like Siri and other voice assistants arises from the inherent complexities of language, context, and homophones. The examples of “4,” “four,” “fore,” and “for,” as well as “two,” “2,” “too,” and “to,” highlight the challenges and demonstrate the near-impossibility of completely solving this issue for dictation to speech. Particularly challenging are words and ciphers like “four” and “4,” as well as “five” and “5,” where the same meaning is conveyed using different formats.

Homophones confuse Siri and other speech to text dictation apps

1. Homophones and Context: Dictated text often lacks visual and gestural cues present in written communication. This absence of cues makes distinguishing between homophones difficult. For instance, when dictating “4,” the listener can’t distinguish whether it’s “four,” “fore,” or “for” without clear context.

even Tim Cook hates Siri

2. Contextual Ambiguity: In the sentence “Four golfers shouted ‘fore’ 4 times,” AI must determine whether “4” should be transcribed as a number or as “fore.” Without broader context, the system is challenged to decide the intended meaning accurately.

3. Nuances in Inflection: Voice inflection, pauses, and tone contribute to comprehension in spoken language. However, voice assistants might struggle to capture these nuances, leading to misinterpretation of homophonic words.

 

4. Homophones with Numerical Values: Transcribing “four” as “4” can create ambiguity, especially in contexts like “They shouted ‘fore’ for four times.” Both “four” and “4” could be valid interpretations.

mBanking in Chennai Dandolo bye Siri

mBanking gobbledygook by Siri with which I dictated this description as well that’s why it’s also gobbledygook boo

5. Synonyms and Ambiguity: The word “to” can be a preposition or part of an infinitive verb, adding complexity. In “They went to the store,” “to” is a preposition, whereas in “They wanted to go,” “to” is part of an infinitive verb.

Corporate Idiot

Corporate Idiot

6. Ambiguous Numbers:  Transcribing numbers like “4” using words like “four” adds an extra layer of complexity. “Four” can also refer to a count, creating uncertainty in interpretation.

7. Variability in Speech: Accents, dialects, and speech patterns vary widely. A word pronounced slightly differently might lead to an incorrect transcription.

screw this crap the keyboards too small to see and my dictation turns out gobbledygook!

Solving these challenges is intricate because the fundamental issue lies in the limitations of speech recognition systems. While AI can use context analysis, probabilistic reasoning, and linguistic rules, achieving perfect accuracy in dictation remains elusive due to the multifaceted nature of human language and the limitations of current technology. Improvements will continue, but complete resolution for this complex problem may remain a very distant goal.

what's inside your head?

what’s inside your head? words? Ideas? Whichever, Siri is not going to express it for you

so I don’t think anytime in the future you’ll be telling your spaceship with natural language dictation to plot a course to alpha Centauri, because it might be just potting a fleur de lys to Alf!

Smiley Tim the 2/two/too faced Corporate Fake Dude I would be ashamed of if he was my father

Smiley Tim the 2/two/too faced Corporate Fake Dude I would be ashamed of if he was my father

 

No we are nowhere near guardians of the Galaxy yet!

Unleashing the Undead: Mastering A.I. Generated Zombie Headshots for Incredible Artistry

The world of art has undergone a groundbreaking transformation with the advent of Artificial Intelligence (A.I.). This technological advancement has empowered creators to craft imaginative and original artwork of the highest quality. Among the many art forms that have benefited from A.I.’s influence, horror art has emerged as a prominent genre. Artists and content creators are utilizing various tools and platforms to conjure up spine-chilling and horrifying imagery that is sure to leave viewers in awe.

In this article, I will  reveal what i have discovered so far in the genre of creating A.I. generated horror art, exploring the best apps and websites that facilitate the creation of such masterpieces, as well as providing invaluable tips on how to extract the desired results.

A.I. Horror Art Platforms

Dall-E

Dall-E 2, an OpenAI creation, enables users to generate images based on textual prompts. By comprehending the text, the platform uses machine learning to generate visuals that match the description, resulting in awe-inspiring outcomes that allow for experimentation with different prompts and styles.

Midjourney specializes in creating images and videos of ghosts and supernatural creatures, harnessing a combination of 3D models and machine learning to produce realistic and eerie visuals that will undoubtedly send shivers down the spine.

Stable Diffusion deploys a technique called diffusion models to produce high-quality images, empowering users to create horror art that encompasses themes ranging from monsters and zombies to ghosts and haunted houses.

Haunted Hose AI Generated Art from Stable Diffusion

Creating Effective Horror Art using Prompts and Syntax

To generate the best A.I. horror art, accurate and effective use of prompts and syntax is essential. Prompts should be descriptive and specific while allowing the A.I. to conjure up its interpretation. Precise syntax incorporating relevant keywords and terminology such as “painting,” “photography,” “camera exposure,” “brushstrokes,” and “shadows” can help generate more accurate and realistic artwork.

Horned Zombie - Headshot

Below are some simple example prompts for generating A.I. horror art:

“A dark and foreboding forest, with twisted trees and shadowy figures lurking in the shadows.”

“A haunted mansion, with ghostly apparitions and creaking floorboards.”

“A decrepit graveyard, with fog rolling in and zombie hands emerging from the ground.”

“An abandoned asylum, with ghostly patients and deranged doctors.”

“A Lovecraftian nightmare, with eldritch monsters and tentacled horrors.”

These prompts can be customized and adjusted to align with different artistic visions and styles. Adding relevant keywords and syntax will help generate more accurate and effective artwork.
To get much more  specific results for Zombie Headshots, and more varied results, you can experiment, and try more complex syntax in your prompts, such as the following examples;

  1. “Zombie headshot, silhouetted against a blood-red moon, by Alex Ross and ArtStation. The intricately detailed artwork captures the grotesque nature of the undead with stunning accuracy.”
  2. “Zombie headshot, set against a background of decaying buildings and crumbling infrastructure, by Paul Gerrard and CGSociety. The image creates a sense of post-apocalyptic dread with its haunting atmosphere and vivid colors.”
  3. “A zombie horde emerging from a murky swamp, their rotting flesh and exposed bones illuminated by the glow of a full moon. The masterful work of artist Simon Stålenhag and his signature blend of sci-fi and horror come to life in this captivating piece.”
  4. “A zombie headshot, framed by twisted roots and hanging vines in a dark and ominous forest. The unsettling image, created by artist Wojtek Fus, captures the eerie beauty of nature entangled with the undead.”
  5. “A zombie headshot, set against a backdrop of industrial decay and crumbling architecture. The work of artist Kekai Kotaki and his unique blend of sci-fi and horror elements creates a striking image of despair and desolation.”
  6. “Zombie headshot, half-submerged in a pool of murky water, the reflection distorted and grotesque. The work of artist Goro Fujita and his uncanny ability to blend realism and fantasy produces a haunting and unforgettable image.”
  7. “Zombie headshot, rendered in stark black and white, with a shattered mirror reflecting multiple perspectives of the horrific scene. The powerful image is the creation of artist Kris Kuksi and his trademark surrealism.”
  8. “A zombie headshot, positioned in the center of a sprawling and intricate cityscape. The detailed and imaginative work of artist Simon Prades combines horror and urban decay to create a mesmerizing image.”
  9. “Zombie headshot, set against a backdrop of flickering flames and scorched earth. The masterful work of artist Alessandro Taini and his skillful use of light and shadow creates a sense of chaos and destruction.”
  10. “A zombie horde emerging from a swirling vortex, their twisted and grotesque forms spiraling toward the viewer. The stunning artwork of artist Marc Simonetti and his surrealistic and nightmarish style creates a sense of otherworldly terror.”

A.I. Horror Art Resources

There are abundant online resources available for creators and artists seeking to enhance their A.I. horror art. Some useful links include:

Artbreeder: This website enables users to generate art by combining machine learning with human creativity. It has a vast library of user-generated content and provides tutorials and resources for creators.

AI Dungeon: This platform allows users to craft interactive horror stories using A.I. generated prompts and responses, acting as a source of inspiration for horror art while also generating prompts and ideas.

GPT-3 Sandbox: This platform enables users to experiment with the GPT-3 language model, which generates text-based prompts for A.I. generated art. It also provides an array of tools and resources for creators.

One can even get very specific and if one chooses one’s words carefully, get very unusual results, that can fit your exact requirements, with accuracy, such as these Zombie Headshot portraits of Angelina Jolie i made

In conclusion, A.I. has opened up new possibilities for creativity in the world of horror art. With the appropriate apps, prompts, and syntax, creators can generate mesmerizing and terrifying imagery that will capture their audience’s attention. Anyone can become an A.I. generated horror artist with the right tools and resources.

The End of PayPal in Thailand: Why Individual Merchants and Remote Workers are Making the Switch to Stripe

The End of February 2023, will mark the closure of an Epoch for PayPal users in Thailand, as the popular payment platform announced that it would no longer be available in the country for Individual Merchants, Remote Workers, and Foreign Digital NOmads to receive payments, unless they submit company registration papers. This news caused panic and frustration among many individual merchants and remote workers who have no company, as well as people who have relatives abroad and wish to send or receive money, and who all relied on PayPal for their online transactions.

However, just as merchants were feeling hopeless and without a way to receive payments online, Stripe stepped in and made its presence known in Thailand. This sudden availability of Stripe, has proven to be a lifesaver for many individual merchants and remote workers, who have since made the switch from PayPal to Stripe in droves.

Stripe paymentsVs Paypal? No contest! Stripe wins!

 

The sudden availability of Stripe in Thailand has had a significant impact on PayPal, causing the platform to lose its hold on the individual merchant and remote worker market. This shift away from PayPal and towards Stripe has been driven by several factors, including the highly versatile and efficient features offered by Stripe, as well as its ease of integration with a wide range of ecommerce platforms.

Furthermore, Stripe offers a simple and secure way to insert a credit or debit card payment method within a merchant’s ecommerce software, making it easy for customers to make purchases with just a few clicks. This, along with its integration of payment pages, products, and subscription services within the application, has made Stripe a one-stop-shop for all payment needs.

The seemingly imminent end of PayPal in Thailand, has caused individual merchants and remote workers to seek out alternative solutions, with Stripe emerging as the clear winner, along with Wise Payments coming in as the next preferred solution, especially for those who wish to receive payments from abroad and maintain financial privacy. The versatility, ease of use, and integration of  Stripe payment pages, products and subscription services, and secure payment methods, make it the perfect solution for any merchant looking to grow their online business.

The Impact of PayPal’s Cut-Off in Thailand: Understanding the Reasons Behind the Change

PayPal, one of the largest and most widely used online payment systems, has recently announced that it will be cutting off its services in Thailand. This move has caused significant concern among PayPal users in the country, who are now searching for alternative payment solutions. In this article, we will take a closer look at the reasons behind PayPal’s cut-off in Thailand and the impact it will have on its users.

Understanding PayPal’s Move

PayPal’s decision to cut off its services in Thailand is the result of a long-standing dispute with the Thai government over taxes and regulations. The company has been unable to come to an agreement with the Thai authorities, leading to the decision to discontinue its services in the country.

It’s worth noting that PayPal’s decision to cut off its services in Thailand is not unique. The company has taken similar action in other countries in the past, when it has been unable to resolve disputes with local authorities over taxes and regulations.

Old Man Paypal - AI.. Art made by the author in Dall-E 2

 

The Impact on PayPal Users in Thailand

The discontinuation of PayPal’s services in Thailand will have a significant impact on its users. For many, PayPal has been a convenient and reliable method of sending and receiving payments online. Without this option, users will need to find alternative payment solutions, which may not be as convenient or user-friendly.

Furthermore, the cut-off will also impact businesses that rely on PayPal for online transactions. These businesses will need to find alternative payment solutions for their customers, which could lead to a decline in sales and reduced customer satisfaction.

Finding Alternative Payment Solutions

For PayPal users and businesses in Thailand, finding alternative payment solutions will be a top priority. There are several options available, including credit cards, bank transfers, and e-wallets. However, it’s important to choose a solution that is secure, reliable, and convenient.

Another option to consider is using a credit card for online payments. This is a widely accepted payment method, and many websites and online stores accept credit card payments. However, users will need to be cautious when using credit cards online, as they can be vulnerable to fraud and identity theft.

Paypal I Hate You

Another option is to use bank transfers for online payments. This is a reliable and secure method, but it can be time-consuming, especially if users need to transfer money to another country.

Finally, e-wallets are a popular and convenient alternative to PayPal. There are several e-wallet providers available, each with its own set of features and benefits. When choosing an e-wallet, users should consider factors such as security, fees, and ease of use.

The discontinuation of PayPal’s services in Thailand will have a significant impact on its users and businesses. However, by finding alternative payment solutions, users and businesses can continue to send and receive payments online. It’s important to choose a solution that is secure, reliable, and convenient, so that users and businesses can continue to operate smoothly.

The Rise of Stripe Payments in Thailand: A New Era of Ecommerce

As Thailand continues to embrace the digital economy, more and more merchants, digital nomads, and remote workers are looking for easy and reliable international payment solutions. In recent years, Paypal has been a popular choice for many, but with its recent cut off in Thailand, many individuals have turned to Stripe Payments as the new go-to solution.

Stripe payments has Apple Pay and Google Wallet too

Stripe Payments is a highly versatile and efficient international payment gateway that has now become available in Thailand. It has quickly become a popular choice for many individuals due to its ease of integration with a wide range of ecommerce platforms, such as Ecwid, Shopify, WooCommerce, WIX, WordPress, and many others. Furthermore, Stripe can even be used as a standalone plugin in WordPress, without the need for any other ecommerce solution.

What sets Stripe apart from its competitors, is its integration of payment pages within the application, making it a one-stop-shop for all payment needs. This feature has made it extremely easy for merchants to create and manage products and subscription services directly within Stripe, without having to navigate through multiple platforms.

Additionally, Stripe Payments offers a simple and secure way to insert a credit or debit card payment method within the merchant’s ecommerce software. This feature makes it easy for customers to make purchases with just a few clicks, and ensures that their personal and financial information is kept safe and secure.

It seems, as Thailand continues to evolve in the digital age, Stripe Payments is currently the only/best easy and reliable international payment solution for non taxt paying individuals, and businesses alike. Its versatility and ease of use, have made it the go-to choice for many, and its integration of payment pages, products and subscription services, and secure payment methods, make it the perfect solution for any merchant looking to grow their online business.

A Personal Endorsement of Stripe: A Successful Author Shares Their Experience

As a successful author of seven self-published e-publications, I have been selling my digital downloads continuously since 2010, right up to this very day. Over the years, I have tried several payment solutions, including ‘Old Man Paypal’, but since Paypal SG became Paypal TH, I have found that no other payment method compares to the ease of integration, compatibility, versatility, and security offered by Stripe.

Since making the switch to Stripe, I have been able to integrate my payment process seamlessly with my e-commerce platform, resulting in a smoother and more efficient transaction process, for both myself and my customers. Furthermore, Stripe’s ability to insert a credit or debit card payment method directly into my e-commerce software has allowed for quick and easy purchases, leading to increased sales and customer satisfaction.

I am confident in recommending Stripe as the perfect payment solution for any individual merchant, or remote worker, who is looking to grow their online business. Its versatility, ease of use, and security features make it a clear choice for anyone looking for a payment solution that is both reliable and effective. In addition, I love the fact that it also integrates with Apple Pay and Gpay (Google Wallet), for Mobile Users to shop and pay easily.

Related Links;

Tax Effect Due To The Change Of Terms Of Service Of Paypal

PayPal no longer available to foreigners in Thailand

Bank of Thailand intervenes with PayPal snared in yet another regulatory tangle in the kingdom

“Analyze Your Mind: A.I. Simulates a Conversation with Sigmund Freud and Adolf Grünbaum!”

I created a simulation of two conversations between two great psychiatric and philosophical geniuses, using A.I. The first conversation is one about A.I. conducted between Sigmund Freud and Grunbaum, and the second dialogue, is about Nihilism, and Existentialism. And indeed what is Nihilism and Existentialism?

The greater part of the content, namely the conversation itself, is completely A.I. generated from Open A.I.’s Gpt CHAT, and, using GPT3 AI Content Generator for WordPress, which is a free/paid plugin for bloggers to use Gpt3 A.I. Chatbot to generate content and ideas for their blogs, as well as for other purposes. So, here is what Artificial Sigmund and Adolf ‘virtually’ had to say to each other;

Introduction

A.I. Simulates a Conversation with Sigmund Freud and Adolf Grünbaum, is an interactive dialogue between two of the most influential minds in psychology. Participants can explore the theories and ideas of Freud and Grünbaum and gain insight into the foundations of psychotherapy and philosophical psychology. This dialogue allows users to get a glimpse into the thoughts of two of the most influential figures in psychology and gain insight into the theories they developed and their views on various topics. The conversation between the two is designed to be highly engaging and thought-provoking, allowing users to gain a better understanding of the two men and their respective theories.

Exploring the Complexity of A.I. Conversation Technology through a Dialogue between Sigmund Freud and Adolf GrünbaumA.I. Simulates a Conversation with Sigmund Freud and Adolf Grünbaum

Adolf Grünbaum: Dr. Freud, how do you think artificial intelligence conversation technology has changed the way we interact with one another?

Sigmund Freud: I think it is a remarkable development! It has enabled us to communicate more efficiently and effectively. We can now have conversations with machines that can understand our language and respond to our questions and statements. This technology has allowed us to explore new forms of communication and to gain deeper insights into ourselves and the world around us.

Adolf Grünbaum: What do you think are the potential benefits and risks of using A.I. conversation technology?

Sigmund Freud: It is a double-edged sword. On the one hand, it can be used to open up new possibilities in communication and understanding between people. On the other hand, it can be misused to manipulate or deceive people. It is important to remember that it is still a relatively new technology, and so its potential implications are still being explored. We should use it with caution and be aware of the potential risks.

Analyzing the Potential of Artificial Intelligence Technology to Resolve Philosophical Debates between Freud and Grünbaum

Freud: How can Artificial Intelligence technology help us settle this debate?

Grünbaum: AI technology can help us better understand the nuances of our debate. We can use AI to analyze and process the data of our arguments, which could aid us in finding a resolution.

Freud: That is an intriguing idea. We have both invested a great deal of time in this debate, and I would love to see it resolved.

Grünbaum: Yes, it could make a great difference in the field of philosophy if we could find a way to use AI to help us come to a resolution.

Freud: I agree. Let us explore the potential of AI technology to help us settle this debate.

Grünbaum: We could use AI to analyze the data of our arguments and come to a conclusion based on the data. This could help us find common ground and come to a resolution more quickly.

Freud: That is a very inspiring idea. I think this could be a great way to move the debate forward.

Grünbaum: Absolutely. With the help of AI technology, we may be able to find a resolution to this philosophical debate that has been going on for so long. Let us proceed by asking Gpt CHAT; “Simulate a Conversation between Sigmund Freud and Myself, in less than 400 words, about nihilism, and existentialism”.

Gpt CHAT; Okay here it is;

Adolf Grünbaum and Sigmund Freud in Conversation

Freud: Greetings Grünbaum, what do you think about the current philosophical trends of nihilism and existentialism?

Grünbaum: Freud, I see these trends as a reaction to the lack of meaning and purpose in life, but I reject their conclusions.

Freud: I understand your perspective, but I believe that these movements hold some truth. Our conscious and unconscious thoughts can shape our existence and give it meaning.

Grünbaum: But what about the objective reality? How can subjective experiences create meaning in a meaningless world?

Freud: The question of objective reality is a philosophical one, but what I am more concerned with is the individual’s subjective reality. Our experiences and emotions shape the way we perceive the world and our place in it.

Grünbaum: I agree that subjective experiences are important, but I cannot accept the idea that they create meaning in a meaningless world. That would lead to a nihilistic view that everything is arbitrary.

Freud: Nihilism may be a frightening prospect, but it can also lead to a liberation of the self, a rejection of societal norms and expectations. It can allow individuals to create their own meaning and purpose.

Grünbaum: But without any objective basis, this purpose becomes arbitrary and uncertain. It leads to a kind of existential anxiety that can be paralyzing.

Freud: I see your point, but it is the human condition to struggle with uncertainty and anxiety. The key is to find a way to manage these feelings and create meaning for oneself.

Grünbaum: I believe that meaning must come from a connection to something greater than oneself, a connection to a transcendent reality.

Freud: I can understand why you would seek comfort in a higher power, but for many individuals, it is not enough. They need to find meaning within themselves and in their relationships with others.

Grünbaum: That may be true for some, but I still believe that there must be a transcendent basis for meaning. Otherwise, we are left with a meaningless and empty existence.

Freud: Our views may differ, but I appreciate the lively discussion. It is important to examine and question the sources of meaning and purpose in our lives.

Conclusion

The conversation between Sigmund Freud and Adolf Grünbaum provides a unique insight into the two men’s differing perspectives on the human psyche, as well as their different approaches to psychology and psychotherapy. Despite their disagreements, both men expressed a mutual respect for each other, and an appreciation for the importance of open dialogue and debate. Ultimately, the A.I. simulated conversation between Freud and Grünbaum serves as a reminder of the potential for artificial intelligence to open up a new level of understanding of the human condition.

Adolf Grünbaum and Sigmund Freud

Conclusion on this conversation, noting the differences and similarities between each conversant, and summarize it in terms of psychiatric science;

In conclusion, Freud and Grünbaum have different views on the question of meaning and purpose in life, with Freud leaning towards a more individualistic and subjective perspective, while Grünbaum advocates for a transcendent basis for meaning.

Freud sees the current philosophical trends of nihilism and existentialism as a reaction to the lack of meaning in life, and believes that our conscious and unconscious thoughts can shape our existence and give it meaning. On the other hand, Grünbaum argues that meaning must come from a connection to something greater than oneself, and rejects the idea that subjective experiences can create meaning in a meaningless world.

From a psychiatric perspective, these differing views can be seen as reflecting different coping mechanisms for dealing with uncertainty and anxiety, a common human condition. Some individuals find meaning within themselves and their relationships, while others seek comfort in a higher power. Ultimately, examining and questioning the sources of meaning and purpose can be beneficial in personal growth and self-discovery.

Grammarly - Authoring to remove Personal Style on a Global Scale

When it comes to the Poetic Genius, and High Prose, I am most certain, that the Great Poets, such as Yeats, Blake, and the Poet Laureate Lord Tennyson won’t make it with #Grammarly writing assistant.  Nor would Genial Worrdsmiths like Stanley Unwin, or Slangsters and Gangstas. When we come to think about it, the irony is, that ‘Grammarly‘ Isn’t even a Word anyway! Grammarly is also Unethical and deceptive in its Corporate Attitude, with Fake Close Buttons on their Ads that Lead to Web Pages

I mean where is the word ‘Grammarly’ to be found in the English Dictionary? Ask an NFL Player perhaps?

If everybody used Grammarly to write with, it would make all authors of the world write as if the same person were to be writing, and we would have no more Poetic Genius, or development of the use of and meaning of Semantics, as the meanings and uses of words change with time, and from region to region.

I an I wanna Know how da gang gonna do wit’ Grammarly. But i am completely aware and deeply understanding of the complete superflous-ness of such a ‘writing assistant’

The word Superflous, Meaning su·per·flu·ous/so͞oˈpərflo͞oəs/ (I wonder How Grammarly would want me to change that line?). Should we let Grammarly become the only Author behind every writer’s style of expression? Forcing the Human Author to write according to how Grammarly thinks best? Grammarly isn’t even a real word!

I mean Bro, if I-an-I wanna write like-a dis’, den I-an I a gonna write like-a dis, an it-a gonna have it’ own kain’-a Stylee.. itta ding dat allright Mon.. Write how-a you wanna write, an’ use da tings dat ya wanna use ta get ya point across! Hav’ yer own stylee, an do it Original Stylee.

Grammarly is an A.I. driven Authoring software putting the world's literature in danger, to remove Personal Style on a Global Scale

Grammarly is an A.I. driven Authoring software putting the world’s literature in danger, to remove Personal Style on a Global Scale. These analytics are mostly buried in search engine results due to Grammarly paying bloggers and micro influencers to write and create content, to bury any bad reviews down to second or third page in search results.

Bumbaklaat Raasklaat Grammarly! You don’t know how Modern Punctuation is used by Modern Humans to express themselves freely, and want everybody to write the same as the team who programmed grammarly’s Dictionary! A Plethora of Books and Authors, all written by and A.I. algorithm called Gramarly!

Stanley Unwin Intentional Bad Grammar

Stanley Unwin Intentional Bad Grammar

Unless of Course, You Play with the NFL or know how to Watch TV instead of Read Words.

NFL Fans Literary Genius with grammarly

Original Stylee; 5 – Grammarly; 0

William Blake 10 – Grammarly 0

Everyone is Crunching Data, and Big Data, to render Stats, or better said in real English ‘Statistics’ are as far as most people understand, some kind of ‘Proof’ of something, that is ‘/Proved’ by using Data to Present a Positive or Negative result or effect. The Stats which are used so commonly today, which are made by analysts, read by analysts, and presented to people all over the world who don’t even understand how the stats were gathered, in order to convince them of something, that is in principle, ‘Hot Air’, or as we say in Spanish ‘Una Fantasma’  (nothing resembling what it appears to be).This conditions people into believing that opinions or limited data is ‘Fact’. This has an indirect effect on our future Evolution as a special, be it social, ethical or genetic, because of how it is influen cing our society and ethics, and how we interpret and deal with things, based on Crunched Data from so called ‘Expert Analysts’

A good Example would be to quote Time Magazine about Donals Trump’s Tweet about the Puerto Rico Tornado, which used mention of stats, after a second analysis by a George Washington University changed the number of deaths from 60+ to nearly 3000.. now thats a big difference in ‘stats’!!!

Donald Trump Tweet Tornado Death Toll Stats

Of course, in this case, the low stats were to avoid having to pay for aid, and to play down the seriosity, and save money. This was because Trump was not clever enough as Obama, who during the Haiti Disaster, set up a money stealing laundering scheme for the soft hearted asking to “dial some number (at lots of cost per sms) to donate 100$ to the storm fund so they can steal it, and give some stats to pretend it actually got used to help people”

Stats could be used to gain more accurate conclusions about things, but unfortunately, due to Human greed, Anger and Ignorance, Stats, are almost always used to cover up things, not reveal things, or to present things in a deceptive way, to sell an idea.

The Haiti Fund was a scam where almost all of the funds were spent by organisations middle men and corrupt officials.. For example, the Red Cross Spent 25 Percent Of Haiti Donations On Internal Expenses  – In general, the Red Cross itself doesn’t know how much money it spent on each project in Haiti because of a “complex, yet inaccurate” accounting system, the report found.

Investigation of American Red Cross

“Registered Charities are all a Scam Anyway, i Never Donate to Registered Charities, since i grew up with my Father5’s Con Men around me, and know how Con Men prey on Bleeding Hearts.”

In Search Of The Red Cross’ $500 Million In Haiti Relief

So what is the difference between reality and ‘stats’? A BIG one, i can tell you. Stats are merely hot air that companies sell ideas to rich companies, and advertisers, but never reflect the truth, because, they only take a limited set of questions and parameters into consideration..

As 9999 people in Harlem a 10 question survey, and then go to New England and knock on the Man sion House doors and ask 9999 white people, and you wont get the same answers… so the question ‘what do Americans think about the fact that more black peole get convicted than white people’ would produce different opinions in each group….

5 Ways Statistics can be used to Lie to You Every Day

As to webstats.. Facebook Pixel uses a method to track arrivals at your shopping cart checkout in online store websites, and will show you stats based on that, if you advertise with Facebook (or Google or whoever). If you advertise, you get a stats page which shows you how many people arrived at the checkout cart.. Facebook once charged me 200$ for 600 checkout arrivals, in an advertsiing campaign in a month when only 60 people bought something, and i knew all of them, (repeat customers), and none of them came from Facebook. Every time i advertised on Facebook, in fact, my monthly earnings dropped to even half of when i do not advertise (which i do not do anymore since then).

Facebook Ads Are Deceptive to the Advertiser AND the End User

So who were the supposed 600 arrivals at checkout?

The same ‘people’ who caused my VPN server to crash in mid 2018 when i migrated my websites from Bluehost to Dreamhost hosting; Namely ‘BOTS’.

It is reported that bot traffic now accounts for 56% of all traffic on a typical website

Facebook classes a google bot or a yahoo bot or a bing bot as a person or at least an ‘arrival’ on the website. The 600 checkouts were almost if not ALL Bots scouring the web and every url on my and other people’s websites…  I also asked each customer that month ‘how did you find me’ if they were not old customers, and they all said ‘Google’ So i paid 200$ and Facebook sent me NULL people, and registered 600 google bots, and tells me they sent 600 people to me!

“Smart bots have taken over. Now a bot can process JavaScript (and potentially Google Analytics), in a similar way to a real human’s web browser. And it’s a good thing too: if today’s search engine crawlers could not process JavaScript, much of the human-readable web would be hidden from search engines.” (Luna Metrics).

 

Stats MY ASS! – to Quote Science Blogs; Numbers don’t lie, but they tell a lot of half-truths. We have been raised to think that numbers represent absolute fact, that in a math class there is one and only one correct answer. But less emphasis is put on the fact that in the real world numbers don’t convey any information without units, or some other frame of reference. The blurring of the line between the number and the quantity has left us vulnerable to the ways in which statistics can deceive us. By poorly defining or incorrectly defining numbers, contemporary audiences can be manipulated into thinking opinions are fact.

I personally like the Thought Experiment from the Fallicy Files Website in its ‘Base Rate Fallicy’ page, which says ;

Thought Experiment:

“Suppose that the rate of disease D is three times higher among homosexuals than among heterosexuals, that is, the percentage of homosexuals who have D is three times the percentage of heterosexuals who have it. Suppose, further, that Pat is diagnosed with the disease, and this is all that you know about Pat. In particular, you don’t know anything else about Pat’s sexual orientation; in fact, you don’t even know whether Pat is male or female. What is the likelihood that Pat is homosexual?”

 

Related Links;

The Base Rate Fallicy

85% of Statistics are False or Misleading

13 Ways Facebook Tries to Trick You With Ads

Example of False Information by Paid Bloggers to disseminate viral trending beliefs (Fake News), and promote the use of chatbots (which are dumb, and a pain in the ass, but whose developers are paying bloggers to convince big companies and businesses they need to pay for such services

Top Ten Messenger Bot FAQs (Deceptive Facebook Sponsored Paid Blogpost)

List of services that conttribute to creating false beliefs and trends through paid blogging, which is used by rich companies like Facebook, Instagram, and Top Infuential news websites and Blog (Taken in 2017 from Forbes study)

Forbes published a list of ten of the highest earning blogs in the world:

Huffington Post – $14,000,000 per month
Endgadget – $5,500,000 per month
Moz – $4,250,000 per month
TechCrunch – $2,500,000 per month
Mashable – $2,000,000 per month
CopyBlogger – $1,000,000 per month
Perez Hilton – $575,000 per month
Gizmodo – $325,000 per month
Smashing Magazine – £250,000 per month
Tuts+ – $175,000