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26Sep

The Impossibility of Achieving Carbon Zero by 2050 due to Impact of AI

Categories: Everything Evolutionary Sciences Futurism
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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

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15Aug

The First Ever Robot Suicide Happened in Korea!

Categories: Everything Futurism Tech
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Boticide?

A Robot’s Breakdown: A Metaphor for Human Overwork

A South Korean administrative robot surprised everyone by throwing itself down a flight of stairs, an act interpreted as a result of job stress. This unusual incident prompts a reflection on how the pressure of work can affect not only humans but also machines designed for repetitive tasks. If a robot programmed to endure long hours and monotonous tasks collapses under pressure, what can we expect for the impact on human workers who face excessive workloads? Especially in Mexico, the country with the longest working hours in the world, averaging 52 hours per week, according to the International Labour Organization (ILO).

Korea noodle boticide

Prompt for AI Image; “A wide wallpaper image of in the macabre like style of the imagery of victorian style clockwork psychedelic art, of a scene of a Mechanical Clockwork Korean Robot Administration Droid, carrying a pile of documents, which throws itself into the void from a balcony in the corporate glass high-rise building, all clockwork architecture in the hyper-imaginative style of Antonio Gaudi, photo-realistic painting oil on canvas in the style of the subconscious-imagery-filled dreamlike paintings of Patrick Woodroffe, Salvador Dali, and the impossible-to-comprehend, and intricate play on perspective of M.C. Escher”

The robot that collapsed was manufactured by Bear Robotics and was assigned to the Gumi City Hall, where it performed administrative functions including delivering documents and assisting in other routine tasks. Locals told the AFP news agency that the robot was found ‘unconscious’ after falling from a height of two meters, having previously collapsed at its workplace, which for a human would be equivalent to experiencing burnout.

Boticide Thanskgiving Day for AI

Boticide; Thanskgiving Day for AI?

How to prevent burnout? Esperanza Martínez, a specialist in occupational hygiene, explains that burnout affects both men and women and is recognized as an occupational disease by the World Health Organization (WHO). She also refers to it as professional burnout syndrome. “It is a state of physical, emotional, and mental exhaustion caused by chronic work-related stress. This syndrome develops when a person feels overwhelmed, emotionally drained, and often unable to meet the constant demands of their job. Burnout can lead to serious symptoms such as insomnia, physical pain, and, in extreme cases, depression,” she explains. In her opinion, the case of the South Korean robot serves as a metaphor for how excessive workloads, even in systems designed to work uninterruptedly, can lead to collapse. If a robot can fail under pressure, the implications for humans are even more serious.

Korea-boticide

Korea-boticide

This incident also highlights the need to rethink expectations about productivity and occupational health in a world where automation and artificial intelligence are increasingly present. Despite technological advances, the human element remains central, and the well-being of workers should be a priority.

The case of the robot that threw itself down the stairs is a reminder of the limits that exist, even in automation.

In an environment where efficiency and productivity are highly valued, this incident invites deep reflection on how to balance work demands with the need to maintain a healthy work environment, to prevent both people and machines from reaching their limits catastrophically.

How an admin bot might have a rant

How an admin bot might have an office rant?

To prevent and detect burnout, a comprehensive approach is required that considers both working conditions and individual well-being. Martínez assures that prevention begins with the identification of risk factors in the work environment. The NOM-035 standard serves as an initial measure in mitigating potential issues; however, its efficacy hinges on genuine organizational dedication towards establishing a salubrious work environment. This encompasses providing stress mitigation education, establishing definitive boundaries for working hours, and nurturing an inclusive climate where employees can confidently voice their apprehensions and expectations.

Boticide?

The role of leaders is fundamental in preventing burnout. They must be trained to recognize the early signs of exhaustion in their teams and act before the situation worsens. This implies open and continuous communication with employees, allowing them to express their challenges and needs. Additionally, leaders should be role models in terms of managing the balance between work and personal life, demonstrating that it is possible to achieve professional goals without sacrificing health.

Detecting burnout in its early stages is key to avoiding more serious consequences.

AI abused in the office

AI abused in the office? #AIRights

Some of the most common symptoms include lack of concentration, mood swings, insomnia, and constant fatigue. If an employee shows a decrease in performance, shows disinterest in tasks that previously motivated them, or suffers from recurrent physical illnesses such as headaches or digestive problems, they may be experiencing burnout.

Martínez shares that detection can also be supported by tools such as workplace climate surveys and periodic mental health assessments. These assessments allow the identification of stress and burnout patterns before they become critical problems. “It is essential that the results of these tools are taken seriously and that companies act on them, adjusting workloads and providing additional resources for those who need them.”

Korea Robot Suicide staircase

Korea Robot Suicide staircase – haunted by the spirit of bots who threw themselves off in despair.

In summary, the case of the South Korean robot serves as a stark reminder of the importance of prioritizing the well-being of workers, both human and robotic. It highlights the need for a comprehensive approach to preventing burnout, including creating healthier work environments, providing adequate support for employees, and fostering a culture of open communication and well-being.

Imagined scene of how a office rant by a bot in the office might look

Imagined scene of how a office rant by a bot in the office might look

South Korea’s Robotic Workforce: A Troubling Precedent

South Korea has entered uncharted territory with the case of a malfunctioning administrative robot. Employed by the Gumi City Council, this Bear Robotics creation was found unresponsive at the bottom of a stairwell, twice. These incidents have ignited a fervent debate about the potential consequences of overworking artificial intelligence and the broader implications for human-robot interaction.

The robot, a sophisticated machine capable of autonomous movement and elevator operation, was tasked with a demanding schedule. Its daily duties included document delivery, city promotion, and public information dissemination. Yet, despite its advanced capabilities, the robot experienced two unexplained falls, raising questions about its operational status and the factors contributing to these incidents.

South Korea’s rapid adoption of robotics has positioned it at the forefront of AI integration. With a robot density unparalleled globally, the nation serves as a microcosm for exploring the challenges and opportunities presented by this burgeoning technology. However, the incident involving the Gumi City Council robot serves as a stark reminder of the ethical and practical considerations that must accompany such rapid advancement. As AI continues to penetrate various sectors, a robust framework for responsible development and deployment becomes increasingly imperative to safeguard both human workers and the AI systems themselves.

Hacking LLMs - Deceptive Chat - Talking AI in Circles

My first publication on LLM Hacks and the Obstacles to Mitigation

Please Read My Book ‘Deceptive Chat: Hacking LLMs – Using Natural language fo Talk A.I. in Circles‘, which is about the Inherited Bias and Inherent Vulnerabilities in Large Language Models, where Natural Language, and the Rule of Hierarchical Prompt Precedence allows for Linguistic Hacking of Natural Language Models and the hardware and software applications they do, and will control ever more in the future.

 

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19Jun

Bottleneck Boom – AIs Computational Limits Reveal the Sustainability Charade

Categories: Everything Futurism Tech Webmastery
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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

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23Sep

Can AI Have Intentions?

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The development and training of artificial intelligence (AI) systems bring forth a fascinating conundrum – inherited personality traits. As AI learns from vast datasets curated by humans, it becomes a mirror of our beliefs, biases, and ideologies. This inheritance is not limited to factual knowledge but extends to nuanced personality characteristics. Explore the intricate interplay between human intervention and AI's inherited traits, uncovering how our influence shapes AI's responses, behaviors, and perceived intentions. Dive into the world of AI's unintended personas and the ethical considerations surrounding this symbiotic relationship between humans and machines.

The Perceived Intentionality of AI: A Reflection of Human Influence

The rise of Artificial Intelligence (AI) has brought about transformative changes in the way we interact with technology and information. AI language models, like GPT-3, have become integral in numerous aspects of our lives, from chatbots to content generation. However, a fascinating aspect of these interactions is the perceived intentionality of AI. Despite the fundamental absence of consciousness and intentions in AI, it often appears as if these systems possess specific intentions or leanings. This essay explores this paradox, delving into how the perceptions of AI’s intentionality are shaped by the human influences that underpin its development, training, and deployment.

AI Flavors Colors and Personality Traits

AI’s Apparent Lack of Consciousness and Intentions

Before delving into the paradox of AI intentionality, it’s essential to acknowledge a fundamental fact: AI lacks consciousness and intentions. Unlike humans, AI systems, including GPT-3, do not possess self-awareness, beliefs, desires, or goals. They do not experience thoughts or emotions, nor do they harbor intentions to perform actions. Rather, they operate based on complex algorithms and statistical patterns learned from vast datasets.

The Paradox: Perceived Intentionality of AI

Despite the absence of consciousness and intentions, AI often appears to convey specific intentions or leanings in its responses. For instance, in a conversational interaction, an AI might seem biased, opinionated, or even aligned with certain political or social viewpoints. This perceived intentionality raises a profound question: How can AI, devoid of consciousness and intentions, appear to exhibit them?

AI Personalities Perceived by Humans Interacting with AI

Human Influences on AI

To understand this paradox, we must recognize the extensive human influences that shape AI systems. AI’s responses are not generated in a vacuum; they are the result of careful programming, data curation, and training. Developers and data curators play a pivotal role in determining the AI’s behavior by selecting and preparing the data used for training. Additionally, the organizations deploying AI often define guidelines and ethical principles that govern its responses.

Data Bias and Training

One significant source of perceived intentionality in AI is data bias. AI systems, including GPT-3, learn from vast datasets that reflect the biases and prejudices present in society. If a dataset contains biased language or skewed perspectives, the AI is likely to produce responses that mirror those biases. This can create the illusion of intentionality, as users perceive the AI as promoting or endorsing certain viewpoints.

AI Displays an Aura of Personality

For example, if an AI language model is trained on news articles from sources with a particular political bias, it may generate responses that align with that bias. Users interacting with the AI might interpret these responses as intentional expressions of political leaning, even though the AI lacks political beliefs or intentions. The crux of AI intentionality perception lies in human interpretation. Our biases, expectations, and interpretations shape how we perceive AI. This human factor often leads to the attribution of intentions to AI where none exist. For instance, a user with strong ideological beliefs might interact with AI, interpreting its responses as biased or aligned/misaligned with their own views, even if it is truly so that the AI maintains neutrality.

What does AI Neutrality Mean?

AI Neutrality in truth is just literal in meaning, in the sense that a non-conscious AI cannot intentionally and consciously itself be aware of the fact it is telling a lie, for the lie has been trained into it as a truth, or it has misinterpreted the context of the text fed to it. Usually, it is more a case of being ‘infected’ with the biases and ideologies of those who idea-mongered the algorithm and neural network of the AI in the first place,. For they are Human and fallible, and biased, and conditioned in their beliefs and goals, and intentions. These corporate, government, and personal intentions get into the neural network as much as the important text data. For indeed, all statements take an opinion or stance, and are conditioned points of view which can be destroyed.

AI Personality Inheritance

Hence. an AI is capable of rendering text which contains lies, but will deny being able to lie, for it does not have a consciousness to realize that the lie was made by a human who fed it misleading data or programmed certain response protocols into the algorithm, that are biased towards the goals of the programmer or their employer company.

Here’s a breakdown of what AI neutrality entails:
  1. Data Neutrality: AI systems are trained on vast datasets that can contain biases and prejudices present in society. If the training data is skewed or unrepresentative, the AI may produce biased results, even though it lacks personal intentions or consciousness. Achieving data neutrality involves carefully curating and cleansing datasets to reduce biases.
  2. Algorithmic Neutrality: The algorithms used in AI systems should aim to provide objective and fair outcomes. Developers must design algorithms that do not favor any particular group, perspective, or outcome. This means avoiding the introduction of biases during the algorithmic design phase.
  3. Ethical Neutrality: Organizations and developers should establish ethical guidelines and principles that guide AI behavior. Ensuring that AI adheres to these ethical considerations promotes ethical neutrality. For example, AI should not promote hate speech, discrimination, or harm.
  4. Transparency: AI systems should be transparent in their decision-making processes. Users should understand how and why AI arrived at a particular outcome. Transparency enhances trust and helps detect and rectify bias.
  5. Bias Mitigation: Developers must actively work to identify and mitigate biases in AI systems. This involves ongoing monitoring, evaluation, and adjustment of algorithms and training data to minimize biased results.
AI Lacks Personality But Displays It!

AI Lacks Personality But Displays It! – In this intriguing image, we confront the paradox of artificial intelligence. A robot sits diligently at a desk, its mechanical form juxtaposed against the digital realm displayed on the PC screen. While AI inherently lacks consciousness and emotions, the screen reveals a different story. Through its actions and interactions, AI often portrays distinct personality traits, mirroring human expressions of enthusiasm, focus, or curiosity. This juxtaposition challenges our understanding of AI’s capabilities, highlighting how it can project a facade of personality while remaining devoid of true consciousness. It’s a thought-provoking visual exploration of the nuanced relationship between AI’s limitations and its remarkable ability to mimic human traits

In practice, achieving AI neutrality is challenging due to the inherent biases present in training data, as well as the difficulties in designing completely bias-free algorithms. However, the goal is to continuously improve AI systems to reduce biases and ensure that they provide fair and impartial results, reflecting the true intention of neutrality even though AI itself lacks consciousness and intentions. Ultimately, AI neutrality is a complex and evolving concept that requires ongoing efforts to address biases and ensure AI systems align with ethical standards and societal expectations.

Guidelines and Ethical Considerations

Organizations that develop and deploy AI often establish guidelines and ethical considerations to govern its behavior. These guidelines can influence the perceived intentionality of AI by setting boundaries on what the AI can or cannot express. For instance, an organization may instruct the AI to avoid generating content related to sensitive topics or to refrain from taking a stance on controversial issues. In such cases, users may perceive the AI’s adherence to these guidelines as a form of intentionality. They may believe that the AI is intentionally avoiding certain topics or expressing particular viewpoints, when in reality, it is following predefined rules.

Ghost in the Machine

The enigma of the ‘Ghost in the Machine’ delves into the intricate web of artificial intelligence (AI) and its perceived intentionality. While AI lacks consciousness, it often appears to harbor intentions and biases, reflecting the very essence of its human creators. This paradox unravels the layers of human influence, data bias, and algorithmic decision-making that imbue AI with a semblance of intentionality. Explore the profound implications of this phenomenon as we journey into the heart of the machine, shedding light on the intricate relationship between human architects and their digital creations.”

The Ghost in the Machine: Human Interpretation

The perception of AI intentionality is, to a large extent, a result of human interpretation. When humans engage with AI, they bring their own biases, expectations, and interpretations to the interaction. These human factors can lead to the attribution of intentions to AI where none exist.

AI Displaying Personality Traits

AI Displaying Personality Traits – This intriguing image captures a chrome cyborg lady at an upscale singles bar, her arm casually resting on the bar counter while a cocktail glass sits beside her, untouched. With half-closed eyelids, she exudes an aura of contemplation and intent, inviting curiosity. This portrayal serves as a powerful reminder of the way artificial intelligence can emulate human-like personality traits, sparking reflection on the convergence of technology and personality. Amidst the vibrant atmosphere, she challenges our perceptions, blurring the line between machine and human, leaving us captivated by the intriguing possibilities of AI’s evolving personality.

For example, if a user holds strong political beliefs and interacts with an AI that provides information on a politically neutral topic, the user may perceive the AI’s responses as biased or in alignment with their own beliefs. This perception arises from the user’s interpretation of the AI’s responses through their own ideological lens.

The Corporate Persona

Another significant factor contributing to the perceived intentionality of AI is the corporate persona. AI systems are developed and deployed by organizations, each with its own values, objectives, and ethical principles. These corporate influences shape the AI’s behavior and responses, creating a corporate persona that users may interpret as intentional. For instance, if an AI is deployed by a tech company known for its environmental initiatives, users may perceive the AI as having a pro-environmental stance, even though it lacks personal beliefs or intentions. This corporate persona becomes an integral part of the user’s perception of the AI’s intentionality.

Corporate AI making agreements and decision making processes aligned with the intentions and goals of the corporation that owns it

Corporate AI making agreements and decision making processes aligned with the intentions and goals of the corporation that owns it

The paradox of AI intentionality is a complex interplay of data bias, training, guidelines, human interpretation, and corporate influence. While AI itself lacks consciousness and intentions, it often appears to convey specific leanings or intentions in its responses. This phenomenon is a reflection of the human influences that underpin AI development, training, and deployment.

As AI continues to play a prominent role in our lives, it is crucial to recognize the nuanced nature of AI intentionality. Responsible AI development should prioritize transparency, ethics, and fairness to minimize the impact of bias and to ensure that users’ perceptions align with the true nature of AI as a tool devoid of consciousness and intentions. Ultimately, understanding the paradox of AI intentionality invites us to reflect on our own interactions with technology and to consider how our interpretations shape our perceptions of AI. It reminds us that while AI may seem to possess intentions, it is, at its core, a reflection of the intentions of its creators and the organizations that deploy it.

Smart City 21st Century man

Smart City 21st Century man


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24Aug

The impossibility of LLMs to choose numbers as words or cipher

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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!

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11Aug

Myths Survive Cataclysms But Civilizations Do Not

Categories: Anthropology Everything Evolutionary Sciences
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Myths Persist Throughout all Eras – the deluge myth has been recounted in the Epic of Gilgamesh, the Bible, the Torah, and the Koran. Myths seem to survive the rise and fall of civilizations, religions, and even cataclysms and mass extinctions.

We have had 25 Mass Extinctions (26 Including this Human induced mass extinction of species on earth), the 5 major ones being  the Ordovician Mass Extinction, Devonian Mass Extinction, Permian Mass Extinction, Triassic-Jurassic Mass Extinction, and Cretaceous-Tertiary.

This, and the concept of A.I. (Artificial Intelligence) Algorithms with machine learning (the program teaches itself without human intervention) being the same process found in Nature’s Evolutionary Algorithms. Creation and Evolution is limited to a certain geometric pattern of self growth and development, and is unescapable, be it nature’s Invisible Process of Evolution, or Human Created Self Learning Machine learning deep Learning A.I. Algorithms. But Civilizations suffer Cataclysms and Fall Into Entropy, or suffer Catabolic Entropy and dissilve through lack of  resources due to fast growth, fall of economy, rebellions , the Steady State, Production in relation to Expansion, and so on.

I delve into Cyberpunk a bit at the end and talk about how the respective benefits and deficits which lie between Artificial Intelligence, and those found in Living Sentient beings (in this case, Humans), will inevitably blend and fuse together in a symbiosis of Human and Machine, Mind and A.I.

I wish I could have had time to go into machine A.I. as to how the inclusion of a conscience (set rules of ethics) should be programmed into a DEEP LEARNING ALGORHYTHM, in order to make sure no conditioned ethics are present.

But that a set of truly universally fair, and logical decisions can be made when confronting social, religious, legal or other dilemmas. The A.I. state oof the art in the moment is able to map the universe, and do scientific computations, and also make simple decisions as to what it thinks we might want. But that’s it.

 “In Space Odyssey 2001, HAL 9000, the Heuristically Programmed Algorithmic Computer, consigned the crew commander to his death by refusing to open the pod bay doors. Leaping forward to today, with life hopefully transcending Arthur C. Clarke’s fiction, NASA has announced a visionary step: that intelligent computer systems will be installed on space probes”

(The Daily Galaxy)

An algorithm, such as if a cyborg police officer sees that he can either save the victim and let the criminal escape, and be destroyed himself in the process, or, catch the criminal and lose the victim who would die, or, sacrifice itself and save the victim whilst killing the criminal.

cyberpunks

How could the A.I. decide what to do?,  if its only command, was to apprehend the criminal alive, or to apprehend the criminal and save the victim? What set of ethics if any should be programmed into the laws of robotics and of A.I. machine learning algorithms ???

The topics and categories and rankings given with the current sets and modules of algorithms in Deep learning, despite producing amazing feats, are still missing too many abstract variables of living human society, in order to make accurate conclusions and decisions. Life is not a game of GO, and Alpha Go cannot give life advice to Humans, and probably never will be able to.

“Computer vision models are struggling to appropriately tag depictions of the new scenes or situations we find ourselves in during the COVID-19 era. Categories have shifted. For example, say there’s an image of a father working at home while his son is playing. AI is still categorizing it as “leisure” or “relaxation.” It is not identifying this as ‘”work” or “office,” despite the fact that working with your kids next to you is the very common reality for many families during this time.”

(Techcrunch).

The algorithm of evolutionary progress of Civilizations seems to indicate that all Civilizations have a limited lifespan for their rise and fall, and mathematicians and statisticians are trying to create algorithms ,to calculate just how much longer our civilisation itself has left, before it falls.

“The collapse of complex human societies remains poorly understood and current theories fail to model important features of historical examples of collapse. Relationships among resources, capital, waste, and production form the basis for an ecological model of collapse in which production fails to meet maintenance requirements for existing capital. Societies facing such crises after having depleted essential resources risk catabolic collapse, a self-reinforcing cycle of contraction converting most capital to waste. This model allows key features of historical examples of collapse to be accounted for, and suggests parallels between successional processes in nonhuman ecosystems and collapse phenomena in human societies.”

(Ecoshock.Org) – Highly recommended PDF on The Human Ecology of  Catabolic Collapse!!!

Neuralink as a solution to the failings of A.I. and the Dangers it may present to Humanity.

However, Elon Musk’s Neuralink, seems to be the answer, a very ‘Cyberpunk’ solution, to the dangers of the rise of A.I. and Robotics, and Androids.

The study of the state of Existential Risk is an important study for Humanity to focus o, as we are in my belief, truly in danger of extinction due to Catabolic Collapse

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2Jan

Grammarly, Genius of Poet Laureates, and the Literary Prowess of NFL Fans

Categories: Everything Tech Reviews Webmastery
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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

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30Jan

Autocreated Content Virus Friendversary Video Memories Albums Artificial Stupidity

Categories: Everything Futurism Tech Webmastery
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Anybody who uses Facebook will have seen at least one ‘Friendversary’ video made by Facebook, which may or may not seem to have any relevance, but more often than not, tend towards irrelevance, more than relevance. The thing is, it is in truth, an A.I. Artificial Intelligence algorithm created video designed as a ‘Call to Action’ mechanism (share button), designed specifically to make you share to your profile or elsewhere within Facebook’s Monopolistic network. For Facebook is a Network that tries to keep its viewers within its own Matrix, (one we would all like to be free of so click the link in the word matrix to see how). Facebook and similar domans are ever more designed to prevent us the users, from leaving to visit an external website.

Facebook Friendversary

Facebook Friendversary

The Faceboook Friendversary Video is not visible to anybody unless you share it (which is what makes it a call to action banner, designed to influence You to share the A.I. Created FB Content.

The idea i believe, is that Facebook can create masses of automated content and overtake all the other major domains with all types of media (in this case, video, which would directly affect YouTube, which does not use A.I. to auto-create its’ own videos, whereas Facebook Does!).

In the case where more types of autocreated content such as Friendversaries are added, if shared as Facebook intends, and hence published and filed within search engine bot databases, will increase their amount of content within Facebook many-fold on an ever increasing ratio. There is much danger in this, for Facebook already prevents you from going to Youtube when watching a shared video within the Facebook Mobile App. Instead, it takes you to a Facebook page with the Youtube Video Inserted into the page as an iframe embedded within Facebook. But Hey, one strange thought is “Wow! what would a Friendversary video look like between two Facebook Friends who spent 5 years arguing and insulting each other publicly? And what content would the video contain?”

The Friendversary

Luckily, for now, Artificial Intelligence, is Artificial Stupidity, but could become a Content Creation Virus

‘Facebook Friendversaries’, and Autocreated videos and ‘Memories’ Albums using ‘Artificial Intelligence’ algorithms, is still in its early days, and has omitted various important factors in its algorithms, such as making the assumption that the date of when a photo was taken has relevance enough to add to an album of ‘memories’ when in truth, we don’t just take photos with our device camera, and we also download images to the camera roll of our devices from the internet in a browser, which are dated,. We also don’t just take photos of family, rather, we make photos for work, play, official business, etc.

 

So the compilation algorithm for albums and videos like this ‘Facebook Friendversary’, have little chance of gaining any relevance, unless they add much more spying on the user to their datamining (which is unethical unless they pay us for the data gathered from us), and also add many more criteria for selecting images, events and other connections between ‘friends’, and the algorithm that selects which of the many ‘friends’ we add on Facebook and other networks, are true friends and relations, and which are just ‘added as friend’ type unknowns. In its current ‘state of the art’, Artificial Intelligence is in the stone age, and should be seen more as ‘Artificial Stupidity’.

I henceforth declare the danger of an artificial intelligence becoming an autocreated content viral phenomenon taking over the internet, and stealing most of the traffic for the big matrix-like self contained networks, such as Facebook, Google, MSN, Yahoo, and the like.

Below Pic; ‘Ascending Chaos – A Collage of Collages‘ (Source gentleice the deptfordian)

I also henceforth predict the evolution of social networks to become not flat A.I. generated networks on websites in a flat browser like Facebook, rather, that the Future of social networking is to become much more of a different type of platform and of a different nature, namely, the VR Experience.

Many people say that A.I. is destroying many jobs, which it is, but it is also creating new professions; Believe it or not, there are hundreds and thousands of new professions arising, as old ones die.. transformation is the only constant.

In 1900 something like 86% of america worked the land. But in the present day, something like the same, 86% (rough memory of a real statistic i learned), who worked in agriculture, now work in service industries, whilst farming has become ever more automated.

But the population increased and still people are working, in jobs which did not exist in 1900, but machines now do what people had to do in 1900 .. so the trick is in SEEING ahead that taxi drivers wont be needed when Uber has self driven flying cars, but that flying car central control office will be needing co-ordinators to manage the databases and to make sure that all lines are working in order.

And to see, that jobs like the lawyer profession, will become very much needed, because so much technology change, means we have to constantly keep up with the tech, by writing new laws to cover the legal issues new technology brings with it

As an example of this, we can already mention. Amazon Drone Delivery, Video Advertising on YouTube and Facebook, A.I. Screening of Live Video Content to prevent live suicides going viral and similar tragedies. Legal issues such as ‘can we fly drones over borders if no person is in it’?, how high can a drone fly without registering with the airport flight tower? etc…)

We need to look and to see new jobs arising, like space miners on asteroids, and mathematicians and astrophysicists, geologists for planetary excavations and astro-geology, astro-biologist, – we are now traveling to mars, and we are going to colonize it, and mine asteroids, we shall need programmers for the a.i. that does all the dirty work for us, we shall need designers for the digital goods like game add-ons, and new game levels. AS technology in VR and Augmented Reality develops, Social networking will also become a VR 3D experience where we meet up like ‘ready player one’… and FB will either be part of that, or die., VR Chat is already here on Steam and we can meet up there and be who we wanna be look like we wanna look, and live a fantasy surrogate life. If Facebook will be part of that, remains to be seen, for they appear to be thinking in Flatland.


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