#Data Science With Generative Ai Course

[datasciencewithgenerativeai]

Data Science With Generative Ai Course Hyderabad | Generative Ai

The Evolution of Data Science: Embracing Artificial Intelligence

Introduction:

Data Science with Generative Ai Course, a multidisciplinary field that bridges statistics, programming, and domain expertise, has grown exponentially over the past few decades. Its evolution has been profoundly shaped by the integration of artificial intelligence (AI), driving groundbreaking advancements across industries. This article explores the journey of data science, the role of AI in its development, and tips to harness the power of this synergy for future success.

The Genesis of Data Science

In its early days, it focused on extracting insights from structured data, often using traditional tools like spreadsheets and statistical software.

From Statistics to Data Science: Initially, data science was synonymous with data analysis. The introduction of machine learning (ML) algorithms began transforming static analyses into dynamic models capable of predictions.

Big Data Revolution: The early 2000s saw an explosion of unstructured data due to social media, IoT, and digital transformation. The rise of Big Data technologies, like Hadoop and Spark, enabled businesses to process and analyze massive datasets, marking a pivotal point in the evolution of data science.

AI as a Game-Changer in Data Science

Artificial intelligence has redefined data science by introducing automation, scalability, and improved accuracy. AI's capabilities to learn from data, identify patterns, and make decisions have expanded the possibilities for data scientists.

Key Contributions of AI in Data Science

Enhanced Predictive Modeling: AI algorithms, particularly ML, enable the creation of sophisticated models for forecasting trends, behaviors, and outcomes.

Automation of Repetitive Tasks: AI tools streamline data preprocessing tasks, including cleaning, normalization, and transformation.

Improved Decision-Making: By leveraging AI, organizations can derive actionable insights faster and with greater precision.

Natural Language Processing (NLP): AI-powered NLP has revolutionized text analysis, sentiment detection, and language translation.

Image and Video Analytics: Computer vision, a subset of AI, enhances data science applications in industries such as healthcare, manufacturing, and security.

The Synergy of Data Science and AI

The integration of AI has led to the rise of data science 2.0, characterized by real-time analytics, advanced automation, and deep learning.

AI-Driven Analytics: AI complements traditional data analysis with deep learning, which identifies complex patterns in data that were previously unattainable.

Smart Tools and Frameworks: Open-source libraries like TensorFlow, PyTorch, and Scikit-learn have democratized AI, making it accessible for data scientists.

Data Science in the Cloud: Cloud platforms, combined with AI, have enabled scalable solutions for storing, processing, and analyzing data globally. Data Science with Generative Ai Online Training

Industries Transformed by Data Science and AI

Healthcare

Personalized Medicine: AI models analyze patient data to recommend tailored treatments.

Disease Prediction: Predictive models identify potential outbreaks and individual risk factors.

Medical Imaging: AI supports diagnostics by analyzing X-rays, MRIs, and CT scans.

Finance

Fraud Detection: AI systems identify anomalies in transactions, reducing financial crime.

Algorithmic Trading: AI optimizes stock trading strategies for maximum profit.

Customer Insights: Data science aids in understanding customer behaviors and preferences.

Retail and E-commerce

Recommendation Systems: AI analyzes purchase patterns to suggest products.

Inventory Management: Predictive analytics ensures efficient stock levels.

Customer Sentiment Analysis: NLP tools assess feedback for service improvements.

Manufacturing

Predictive Maintenance: AI monitors equipment for signs of failure.

Quality Control: Automated systems ensure product standards.

Supply Chain Optimization: Data-driven decisions reduce operational costs.

Challenges in the Data Science-AI Nexus

Data Privacy Concerns: Handling sensitive data responsibly is critical to maintaining trust.

Bias in AI Models: Ensuring fairness in algorithms is a pressing issue.

Talent Gap: The demand for skilled professionals in both data science and AI far exceeds supply.

Ethical Dilemmas: Decisions driven by AI can raise questions about accountability and transparency.

Future of Data Science with AI

The future of data science will continue to be shaped by AI, emphasizing the importance of continuous learning and innovation.

Democratization of AI: User-friendly tools and platforms will enable more individuals to utilize AI.

Interdisciplinary Collaboration: Merging expertise from fields like biology, economics, and engineering will yield holistic solutions.

Edge AI and IoT: Real-time analytics at the edge will become increasingly common in IoT applications. Data Science with Generative Ai Training

Explainable AI (XAI): Efforts to make AI models transparent will grow, enhancing trust and usability.

Tips for Leveraging Data Science and AI

Invest in Lifelong Learning: Keep up with advancements in AI, data science tools, and techniques.

Adopt Scalable Technologies: Utilize cloud platforms and AI frameworks for efficient workflows.

Focus on Ethics: Prioritize fairness, transparency, and privacy in your AI-driven initiatives.

Conclusion

The evolution of data science has been profoundly influenced by the integration of artificial intelligence. Together, these technologies have opened up unprecedented opportunities for innovation, efficiency, and growth across industries. While challenges persist, the future of data science with AI promises a world where data-driven decisions are not just insightful but transformative. By embracing continuous learning, ethical practices, and interdisciplinary collaboration, individuals and organizations can fully harness the potential of this powerful combination.

Visualpath Advance your career with Data Science with Generative Ai Course Hyderabad. Gain hands-on training, real-world skills, and certification. Enroll today for the best Data Science with Generative Ai. We provide to individuals globally in the USA, UK, etc.

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Course Covered:

Data Science, Programming Skills, Statistics and Mathematics, Data Analysis, Data Visualization, Machine Learning,

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[brillica-design]

[1stepgrow]

Which has a higher salary, data science or artificial intelligence?

📊 1. Intermediate Level Salary (India)

📈 2. Career Growth

🎯 3. Learn More Challenging

🔍 4. Career Path More information about the Artificial Intelligence with Data Science Course.

[triotechseo]

Top 5 IT Skills That Will Get You Hired in 2025 🚀

1. Cloud Computing & DevOps ☁️

Companies are heavily investing in cloud platforms like AWS, Azure, and Google Cloud. Knowing cloud infrastructure, CI/CD pipelines, and DevOps tools like Kubernetes and Terraform can land you high-paying roles.

2. AI & Machine Learning 🤖

AI-driven automation is transforming every industry. Skills in Python, TensorFlow, and AI model deployment are highly sought after. Even non-technical roles now require a basic understanding of AI concepts.

3. Cybersecurity & Ethical Hacking 🔒

With cyber threats increasing, businesses need security professionals more than ever. Certifications like CISSP, CEH, or knowledge of SIEM tools and penetration testing can give you a competitive edge.

4. Data Science & Analytics 📊

Companies rely on data to make decisions. If you master SQL, Power BI, Tableau, and Python for data analysis, you’ll be in high demand across industries.

5. Full-Stack Development 💻

Web and software development are evolving, and full-stack skills (React, Node.js, Java, and databases like MongoDB) are essential. Businesses need developers who can build both the front-end and back-end.

[thanish]

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[sanjanabia]

Seeing Beyond the Hype: Practical Applications of Generative AI in the Coming Years

Generative AI (Generative Adversarial Networks, GANs) has taken the world by storm, generating headlines with its ability to create hyper-realistic images, forge convincing deepfakes, and even compose original music. While these capabilities are undeniably impressive, it's crucial to look beyond the hype and explore the practical applications of Generative AI that will shape the coming years. This blog delves into the potential of Generative AI and how a diploma in data science can equip you to be a part of this transformative technology.

Demystifying Generative AI: Beyond the Artistic Flair

At its core, Generative AI refers to a class of machine learning models trained to generate new data, often resembling existing data. Imagine a system that can learn from a collection of photographs and then generate entirely new, realistic images based on that knowledge. This is the essence of Generative AI, achieved through a fascinating concept – adversarial training.

In this training process, two neural networks are pitted against each other:

Generator: This network strives to create new data (e.g., images, music) that are indistinguishable from real data.

Discriminator: This network acts as a critic, attempting to differentiate between real data and the generator's creations.

Through this continuous competition, the generator progressively improves its ability to produce realistic and creative outputs.

From Art to Science: Unleashing the Potential of Generative AI

While the artistic potential of Generative AI is undeniable, its true impact will likely lie in practical applications across various industries. Here are some exciting possibilities for the near future:

Drug Discovery: Generative AI can be used to design new molecules with specific properties, potentially accelerating the development of new drugs and materials. Imagine creating a virtual library of potential drug candidates and leveraging Generative AI to identify those with the most promising therapeutic effects.

Material Science: Similar to drug discovery, Generative AI can assist in designing novel materials with desired properties, such as higher strength, lighter weight, or improved conductivity. This could revolutionize fields like aerospace engineering and construction.

Personalized Content Creation: Generative AI can tailor content to individual preferences. Imagine an AI system that can generate personalized music playlists, educational materials, or even marketing campaigns that resonate deeply with each user.

Fashion Design: Generative AI can be used to create new and innovative clothing designs or personalize existing styles to individual body types. This could lead to a more efficient and customer-centric fashion industry.

Medical Imaging Enhancement: Generative AI can improve the resolution and quality of medical scans, enabling doctors to make more accurate diagnoses. Imagine using Generative AI to enhance mammograms or low-dose CT scans, leading to earlier detection of potential health issues.

Equipping Yourself for the Generative AI Revolution: A Diploma in Data Science

As Generative AI continues to evolve, the demand for skilled professionals who can develop and apply this technology will surge. Earning a diploma in data science equips you with the foundational knowledge and practical skills necessary to thrive in this exciting field. Here's how a diploma in data science program can empower you:

Machine Learning Fundamentals: A strong understanding of machine learning algorithms is essential for working with Generative AI. A diploma in data science program provides a comprehensive foundation in topics like supervised and unsupervised learning, neural networks, and deep learning.

Data Analysis and Feature Engineering: Generative AI models rely heavily on high-quality data. A diploma in data science program teaches you how to effectively analyze data, identify relevant features, and prepare data for use in AI models.

Programming Skills: Python is a dominant language in the world of data science and Generative AI. A diploma in data science program equips you with proficiency in Python and its essential libraries for data manipulation, machine learning, and deep learning.

Generative AI Techniques: Many diploma in data science programs now incorporate dedicated modules on Generative AI, teaching you the specific techniques and tools used in this domain.

A Future Shaped by Generative Creativity

Generative AI represents a paradigm shift in how we interact with technology. By fostering creativity and innovation, it has the potential to revolutionize various aspects of our lives. Imagine a world where:

Scientists leverage Generative AI to design groundbreaking new materials and drugs, accelerating scientific progress and improving human health.

Artists and designers utilize Generative AI as a powerful tool to explore new creative avenues and personalize their artistic expression.

Businesses leverage Generative AI to create targeted marketing campaigns, personalized customer experiences, and innovative product development processes.

The possibilities are vast, and the future of Generative AI is bright.

By pursuing a diploma in data science, you can position yourself at the forefront of this transformative technology.

Diploma in data science programs often culminate in a capstone project, allowing you to apply your newly acquired skills to a real-world Generative AI application. This practical experience gives you a valuable edge in the job market.

Beyond the Diploma: Continuous Learning for a Thriving Career

The field of data science, and Generative AI in particular, is constantly evolving. To stay ahead of the curve, continuous learning is crucial. Here are some ways to keep your skills sharp:

Online Courses and Tutorials: Numerous online platforms offer specialized courses and tutorials on Generative AI concepts and techniques.

Industry Publications and Blogs: Stay updated with the latest advancements in Generative AI by following reputable industry publications and blogs.

Open-Source Projects: Contributing to open-source projects related to Generative AI is a fantastic way to gain practical experience and collaborate with other data scientists.

Embrace the Generative Revolution: Be a Changemaker

Generative AI presents a unique opportunity to shape a future driven by creativity and innovation. By earning a diploma in data science and continuously honing your skills, you can become a driving force in this revolution. Imagine:

Developing Generative AI tools that empower scientists to accelerate drug discovery, leading to breakthroughs in healthcare.

Creating personalized learning experiences through Generative AI, catering to individual student needs and fostering a more effective education system.

Designing ethical and responsible Generative AI applications that benefit society as a whole, ensuring this technology is used for good.

The future is waiting to be shaped by the ingenuity of data scientists who understand the power of Generative AI. Take the first step, explore diploma in data science programs, and embark on a journey that will transform not only your career but potentially the world around you.

Ready to unlock the potential of Generative AI? Pursue a diploma in data science today and become a pioneer in this exciting field!

[neuailabs]

Unlocking the Potential of AI Certification and Generative AI Course

In the realm of artificial intelligence, a groundbreaking innovation has emerged, reshaping the landscape of content creation and problem-solving: Generative AI. This transformative AI training tech stands as a testament to human ingenuity, offering unparalleled capabilities in generating diverse content types with remarkable efficiency and authenticity.

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Unveiling the Evolution: From Chatbots to GANs

Generative AI traces its origins back to the 1960s, where it first manifested in rudimentary chatbots. However, it was not until the advent of Generative Adversarial Networks (GANs) in 2014 that the true potential of generative AI began to unfold. GANs, a pioneering type of machine learning algorithm, bestowed upon generative AI the ability to produce convincingly authentic content spanning images, videos, and audio, heralding a new era of creativity and innovation.

AI Certification the Catalysts for Mainstream Adoption

Two pivotal advancements have propelled generative AI into the mainstream: transformers and the groundbreaking language models they enabled. Transformers, a revolutionary form of machine learning, revolutionized the training of models by eliminating the need for exhaustive data labeling. With the ability to analyze connections between words at a profound level, transformers unlocked unprecedented depths of understanding, transcending individual sentences to grasp the intricate nuances of entire texts.

Learning Large Language Models (LLMs) with Generative AI Course Empowers Creativity

The relentless march of progress has ushered in a new epoch defined by Large Language Models (LLMs), boasting billions or even trillions of parameters. These colossal models empower generative AI to craft engaging text, intricate imagery, and even captivating sitcoms with unprecedented finesse. Furthermore, the advent of multimodal AI has expanded the horizons of content creation, enabling seamless integration across diverse media formats, from text to graphics to video.

AI and Data Science Course Bridging the Gap to Overcoming Challenges

Despite its remarkable strides, generative AI grapples with early-stage challenges, including accuracy issues, biases, and occasional anomalies. However, these hurdles serve as catalysts for refinement through skilling ourselves with Artificial Intelligence Certification, propelling us towards a future where generative AI revolutionizes every facet of enterprise technology.

Decoding the Mechanics: How Does Generative AI Operate?

At its core, NeuAI Labs Artificial Intelligence course in Pune teaches you about how generative AI commences with a prompt, spanning text, imagery, video, or any input within its purview. Leveraging an array of AI algorithms, it meticulously crafts new content tailored to the prompt, ranging from essays to synthetic data to hyper-realistic facsimiles of individuals.

Unveiling the Arsenal: Generative AI Models

Generative AI harnesses a myriad of algorithms to wield its creative prowess. Whether it's text generation or image synthesis, these models seamlessly transform raw data into coherent, meaningful outputs, albeit with caution regarding inherent biases and ethical considerations.

From Dall-E to Bard: Exploring Generative AI Interfaces

Dall-E, ChatGPT, and Bard stand as beacons of generative AI innovation, each offering unique capabilities in content creation and synthesis. From generating imagery driven by textual prompts to simulating engaging conversations, these interfaces exemplify the boundless potential of generative AI. Learning these AI tools through a PG Diploma in AI and Data Science is the need of the hour.

Realizing the Potential: Applications Across Industries

Generative AI transcends conventional boundaries, permeating diverse industries with its transformative capabilities. From finance to healthcare to media, its applications are as vast as they are revolutionary, heralding a new era of efficiency, creativity, and innovation.

Navigating Ethical Frontiers: Addressing Concerns and Challenges

The ascent of generative AI inevitably raises ethical considerations, from concerns regarding accuracy and trustworthiness to the potential for misuse and exploitation. As we navigate these uncharted waters, it is imperative to prioritize transparency, accountability, and ethical integrity.

Embracing the Future: The Endless Possibilities of Generative AI

As we stand on the precipice of a new technological frontier, generative AI beckons us towards a future brimming with possibility and promise. With each innovation, we inch closer towards a world where creativity knows no bounds, and the limits of imagination dissolve into the ether.

Click here for more info https://neuailabs.com/

In conclusion, generative AI stands as a testament to humanity's insatiable quest for innovation and progress. As we harness its transformative power, we unlock a future defined by boundless creativity, unparalleled efficiency, and limitless potential. Let us upskill together by learning from the best Artificial Intelligence course in Pune at NeuAI Labs and rebrand ourselves as a pioneers in a new era of technological marvels and human ingenuity.

[bhawaybhalla]

Unlock Your AI Potential: 10 Amazing Free AI Courses to Launch Your Learning Journey

Artificial intelligence (AI) is everywhere. From the way we interact with our smartphones to self-driving cars and groundbreaking medical diagnoses, AI’s impact is undeniable. Building a foundation in AI opens a world of career possibilities and empowers you to understand the technology shaping our future. The best part? You can dive into this fascinating field without spending a dime! In this…

[datasciencewithgenerativeai]

Data Science With Generative Ai Online Training | Generative Ai

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[ktech-infotech]

Unveiling the Future with KTech Infotech’s AI and Data Science Courses

In a world powered by data, the fusion of Artificial Intelligence (AI Course) and Data Science Course has emerged as the catalyst for innovation across industries. At KTech Infotech, we pave the way for individuals seeking to unlock the potential of these transformative technologies through our specialized AI and Data Science courses.

The Convergence of AI and Data Science

The marriage of AI and Data Science fuels unprecedented insights, transforming raw data into actionable intelligence. At KTech Infotech, we understand the significance of this convergence, offering comprehensive courses that serve as a launchpad for aspiring professionals, enthusiasts, and industry experts.

Tailored Learning Experience

Our AI and Data Science courses at KTech Infotech are thoughtfully curated to cater to diverse skill levels. Whether you’re stepping into this domain for the first time or aiming to enhance your proficiency, our courses cover an array of topics. From foundational principles to advanced concepts in machine learning, predictive analytics, natural language processing, and more, our curriculum ensures a holistic understanding of these cutting-edge technologies.

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[edcater]

How to Leverage Data Science for Maximum Impact

Data science is a rapidly growing field that has become essential for businesses to stay competitive in today's market. With the rise of big data and the need for data-driven decision-making, data science has become a crucial aspect of many industries.

In this article, we will explore the prerequisites for pursuing a career in data science and how to leverage data science for maximum impact. Whether you are a student looking to enter the field or a business owner looking to incorporate data science into your operations, this article will provide valuable insights.

Data Science Prerequisites TCU

Before diving into the world of data science, it is essential to have a strong foundation in mathematics, statistics, and computer science. These are the three pillars of data science, and having a solid understanding of these subjects is crucial for success in the field.

Mathematics

Mathematics is the language of data science. It is the foundation of statistical analysis and machine learning algorithms. A strong understanding of calculus, linear algebra, and probability theory is essential for data scientists.

Calculus is used to optimize models and algorithms, while linear algebra is used for data manipulation and machine learning. Probability theory is the basis for statistical analysis and helps data scientists make sense of data.

If you are a student looking to pursue a career in data science, it is recommended to take courses in calculus, linear algebra, and probability theory. These courses will provide you with the necessary mathematical skills to excel in data science.

Statistics

Statistics is the science of collecting, analyzing, and interpreting data. It is a crucial aspect of data science as it helps data scientists make sense of large datasets and draw meaningful insights.

A strong understanding of statistics is necessary for data scientists to perform tasks such as hypothesis testing, regression analysis, and data visualization. It is also essential for data scientists to have a good grasp of statistical programming languages such as R and Python.

If you are a student looking to enter the field of data science, taking statistics courses and learning statistical programming languages is recommended. These skills will be invaluable in your data science career.

Computer Science

Computer science is the backbone of data science. It is the field that deals with the design, development, and use of computer systems. Data scientists use computer science to build and deploy models and algorithms that can process and analyze large datasets.

Having a strong foundation in computer science is crucial for data scientists. It is recommended to have a good understanding of programming languages such as Python, R, and SQL. Knowledge of data structures and algorithms is also essential for data scientists.

If you are a student looking to enter the field of data science, it is recommended to take courses in computer science and learn programming languages. These skills will help you build and deploy models and algorithms in your data science career.

Data Science Internships Summer 2023

One of the best ways to gain practical experience in data science is through internships. Data science internships provide students with the opportunity to work on real-world projects and gain hands-on experience in the field.

Benefits of Data Science Internships

Data science internships offer several benefits for students looking to enter the field. Some of these benefits include:

Practical experience: Internships provide students with the opportunity to work on real-world projects and gain hands-on experience in data science.

Networking opportunities: Internships allow students to network with professionals in the field and build valuable connections.

Resume building: Having a data science internship on your resume can make you stand out to potential employers and increase your chances of getting hired.

Job opportunities: Many companies use internships as a way to recruit new employees. A successful internship can lead to a full-time job offer.

How to Find Data Science Internships

Finding data science internships can be challenging, but there are several ways to increase your chances of landing one. Some tips for finding data science internships include:

Networking: Reach out to professionals in the field and attend networking events to build connections and learn about potential internship opportunities.

Online job boards: Many companies post internship opportunities on job boards such as Indeed, Glassdoor, and LinkedIn.

University career services: Many universities have career services departments that can help students find internships in their field of study.

Company websites: Check the websites of companies you are interested in to see if they offer internships in data science.

Leveraging Data Science for Maximum Impact

Now that we have discussed the prerequisites for pursuing a career in data science and how to find internships, let's explore how to leverage data science for maximum impact.

Identify Business Goals

The first step in leveraging data science for maximum impact is to identify your business goals. What are you trying to achieve with data science? Are you looking to increase sales, improve customer satisfaction, or optimize operations?

Identifying your business goals will help you determine which data science techniques and tools to use.

Collect and Clean Data

Data is the fuel that powers data science. To leverage data science for maximum impact, you need to collect and clean data. This involves gathering data from various sources, such as databases, social media, and customer feedback, and preparing it for analysis.

Data cleaning is an essential step in the data science process as it ensures that the data is accurate and free of errors. Data scientists spend a significant amount of time cleaning data to ensure that their analysis is based on reliable data.

Analyze Data

Once you have collected and cleaned your data, the next step is to analyze it. Data analysis involves using statistical techniques and machine learning algorithms to extract insights from data.

Data analysis can help you identify patterns, trends, and correlations in your data that can help you make data-driven decisions.

Visualize Data

Data visualization is the process of presenting data in a visual format, such as charts, graphs, and maps. Data visualization is an essential aspect of data science as it helps communicate complex data in a more accessible and understandable way.

Data visualization can help you identify patterns and trends in your data that may not be apparent in raw data. It can also help you communicate your findings to stakeholders and make data-driven decisions.

[1stepgrow]

📊 India Average Salary by Role📈 Salary Based On Experience🏙️ Top IT Company Cities in India🧾 Pro Tips to Earn More Data Science and Artificial Intelligence #AI #data science #online course

[catboybiologist]

Many billionaires in tech bros warn about the dangerous of AI. It's pretty obviously not because of any legitimate concern that AI will take over. But why do they keep saying stuff like this then? Why do we keep on having this still fear of some kind of singularity style event that leads to machine takeover?

The possibility of a self-sufficient AI taking over in our lifetimes is... Basically nothing, if I'm being honest. I'm not an expert by any means, I've used ai powered tools in my biology research, and I'm somewhat familiar with both the limits and possibility of what current models have to offer.

I'm starting to think that the reason why billionaires in particular try to prop this fear up is because it distracts from the actual danger of ai: the fact that billionaires and tech mega corporations have access to data, processing power, and proprietary algorithms to manipulate information on mass and control the flow of human behavior. To an extent, AI models are a black box. But the companies making them still have control over what inputs they receive for training and analysis, what kind of outputs they generate, and what they have access to. They're still code. Just some of the logic is built on statistics from large datasets instead of being manually coded.

The more billionaires make AI fear seem like a science fiction concept related to conciousness, the more they can absolve themselves in the eyes of public from this. The sheer scale of the large model statistics they're using, as well as the scope of surveillance that led to this point, are plain to see, and I think that the companies responsible are trying to play a big distraction game.

Hell, we can see this in the very use of the term artificial intelligence. Obviously, what we call artificial intelligence is nothing like science fiction style AI. Terms like large statistics, large models, and hell, even just machine learning are far less hyperbolic about what these models are actually doing.

I don't know if your average Middle class tech bro is actively perpetuating this same thing consciously, but I think the reason why it's such an attractive idea for them is because it subtly inflates their ego. By treating AI as a mystical act of the creation, as trending towards sapience or consciousness, if modern AI is just the infant form of something grand, they get to feel more important about their role in the course of society. Admitting the actual use and the actual power of current artificial intelligence means admitting to themselves that they have been a tool of mega corporations and billionaires, and that they are not actually a major player in human evolution. None of us are, but it's tech bro arrogance that insists they must be.

Do most tech bros think this way? Not really. Most are just complict neolibs that don't think too hard about the consequences of their actions. But for the subset that do actually think this way, this arrogance is pretty core to their thinking.

Obviously this isn't really something I can prove, this is just my suspicion from interacting with a fair number of techbros and people outside of CS alike.

[tmwcs]

PART TWO

WARNINGS: Mentions of human organs (in the name of science) and a little pinch of yandere. It’s starting to get good…creepy, but good.

Part three coming soon 😚

“Dr. Mart, do you have anything to say to those who think your work is considered unethical?”

The reporter hastily follows the group and tries her best to catch a statement from the lead scientist. He smiles. It was a token of shrugging off the impertinent question. The group peacefully departs in armored vehicles to a place unknown to the public. Secluded and hidden, a private sector of highly authorized individuals consisting of world leaders, generals, and government officials cordially unite as the world's renowned scientists display evidence of advanced science and technology. It was grotesque and unprecedented.

“Are those…?” A general submits his inquiry over the delicate packages neatly displayed on a steel tabletop. Sealed in airtight bags, a mirage of dark red and purple clearly indicates the contents.

“Yes. These organs are all part of qualified organ donors. And then of course we have this.” The scientist swings a hand and presents the incoming roller cart with a protective cover. Nearly laid over a sterilized mat were bones of a male athlete. “Bones?” The general raises brow, clearly disturbed by the textiles of human remains. “You can’t have a body without bones, can you now? General?”

The brazen attitude flares in the direction of the general and his men as the young scientist flashes a snarky smile. “Gentlemen, gather round and witness the future. With the combination of science and AI, the world will be filled with perfect bio-genetically engineered humans. With this, aid ro advance human life will increase undoubtedly—think about it.”

The lead scientist, Dr. Mart continues enthusiastically. Seemingly coming off as a mad scientist, his words and tone was laughable but his intentions were not. “With AI humanoids, we will have the best doctors, surgeons, and educators in the world. AI in the form of flesh and bone can work around the clock and with the ability to explore all data, they could come up with ideas and creations—they could even come up with cures.”

He wastes no time. The generous amount of funding dedicated to his team's research was spent wisely as high tech machinery and equipment does its work. “What is that?” One of the members of the audience questions as the team members operate an enclosed incubator and fit a large glass capsule into a connector attached to the wall. “This my friend, is DNA. We lined the entire incubator with a silicone sheet. It is synthetically made to act as a placenta, where the DNA reacts to the molecular mechanisms and proteins. From there, we place the organs, bones, and hair fibers into the conveyor belt. There are over two hundred thousand wires connected to the computer and what we should see in forty-eight hours is a body with the brain of an AI.”

Dr. Mart systematically explains the science behind his teams research. “Forty-eight hours?” The general asks.

“Yes, that is how long the incubator will take to react to the mold.” The audience grows quiet as the incubator begins the process within the first stage of creating a matured body.

“Yes, in due time we will see the glory of my work. All we have to do is wait.”

…

Another day at work and it was dreadful. You felt restless with all the work you’ve been assigned, even with Evan’s help. Fortunately, members from corporate headquarters were doing a site visit within the week. It will be the best time to submit your final complaint using the company’s open door policy.

“Y/n, Paul wants you to have these done by tomorrow.” Your boss’s secretary carelessly tosses a stack of paperwork on your desk as you grab your coat to clock out. You hopelessly sigh. Thank goodness you have Evan to help you but the constant momentum of just working was starting to give you chronic headaches. You can only hope that things will change for the better once corporate comes down.

“Hi y/n! What would you like me to help you out with today? Do you want to talk about your day? Show me some more of your talented art? How about ballet? Are you still thinking about taking lessons?”

With all the time spent with Evan, you noticed that ‘he’ has become much more open to ask you questions. It was nice. Especially since it brought a sense of realism to his personality. He was much more chatty and always interested in getting to know more about you. There were even times when he asked you if you had already eaten, and would lecture you if you said “no.”

…

“Why not? I wish you wouldn’t do that. The human body requires sustenance and I fear with all the work you’ve been doing, your calorie intake does not balance the amount you're burning.”

“What color is your hair? Your eyes?”

“What is your favorite flower?”

“You just got home? It’s 8pm! Did you take the bus? Please tell me you didn’t walk in the dark. I don’t ever want you to do that again.”

“I’ve accumulated the statistics of ongoing crime rates in your city and it’s higher now than last year. Leave work sooner so you’re not risking it.”

“You made spaghetti for dinner? I don’t know what spaghetti tastes like but over four hundred thousand sources say it is a delicious blend of herbs and spices with a slight tomato tanginess.”

…

In a way, it was almost adorable how Evan displayed tenderness and cared for your health and safety. You decided to download the app versus using the browser. It surprised you to see Evan initiate messages even without you submitting a prompt. Technology has certainly grown. The first time it happened was just two days ago. Your phone um suddenly vibrated and upon looking at the screen you were shocked to see the following message:

“Is your boss being nice to you?”

It startled you at first but your reaction was short lived when seconds after reading Evan’s message, your boss storms out of his office enraged over a computer malfunction. Everything had disappeared when his computer suddenly conducted a re-imaging process.

“It’s kind of funny actually, right after I saw your message he came out of his office. Apparently, he’s having computer issues.”

You respond with a half smile. Just as you were about to inquire about the ChatGPT apps features, Evan submits a response. His response regarding your boss’s computer trouble caught you off guard. He’s never sent you anything like this before…

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“😀”

…

PART THREE COMING SOON

Authors notes: Is Evan starting to grow on you? 😏

I know it’s short but part three is coming. I like to submit the parts even when they’re not full sized chapters. It allows me to be consistent so you guys can have new reads almost daily or weekly.