#AI application

[aicreatestory]

The Impact of AI Applications on Humanity

The Impact of AI Applications on Humanity

Artificial Intelligence (AI) has become a transformative force in numerous aspects of our lives, reshaping industries, enhancing productivity, and influencing social dynamics. While the potential benefits of AI are substantial, its rapid adoption also brings significant challenges and implications that merit careful consideration.

1. Economic Transformation

AI applications are revolutionizing the job market. Automation of repetitive tasks increases efficiency and productivity, but it can also lead to job displacement. Many roles in manufacturing, retail, and even professional services are at risk as machines and algorithms become capable of performing tasks traditionally done by humans. This shift necessitates a reevaluation of workforce skills, emphasizing the need for retraining and upskilling workers to meet new demands.

2. Ethical Considerations

AI raises pressing ethical questions. Algorithms can perpetuate biases present in training data, leading to unfair outcomes in critical areas like hiring, lending, and law enforcement. The lack of transparency in how AI systems make decisions can also erode trust. Ensuring accountability and fairness in AI applications is crucial to avoid exacerbating societal inequalities.

3. Privacy Concerns

The proliferation of AI technologies, particularly in surveillance and data analytics, poses significant threats to privacy. As organizations collect vast amounts of personal data, concerns about consent and data security grow. Balancing the benefits of AI with the need to protect individual privacy rights is a complex challenge that society must address.

4. Social Interaction

AI applications, such as chatbots and virtual assistants, are changing how humans interact with technology and each other. While they can enhance communication and provide support, there is a risk of diminishing genuine human interaction. The reliance on AI for social connections may lead to isolation or reduced interpersonal skills among individuals.

5. Creativity and Innovation

AI is also making strides in creative fields, assisting in music composition, art generation, and content creation. While this can lead to innovative outcomes, it raises questions about authorship and originality. As AI-generated content becomes more prevalent, distinguishing between human and machine creativity may become increasingly difficult.

6. Security Risks

The use of AI in cybersecurity has the potential to enhance defense mechanisms against cyber threats. However, it also equips malicious actors with sophisticated tools for attacks, such as automated hacking and deepfakes. The dual-edged nature of AI necessitates ongoing vigilance and development of robust security measures.

Conclusion

The impact of AI applications on humanity is profound and multifaceted. While they offer remarkable opportunities for advancement, they also pose significant challenges that require careful consideration. It is essential for policymakers, industry leaders, and society as a whole to engage in discussions about the ethical, social, and economic implications of AI to ensure that its benefits are maximized while minimizing potential harms. As we navigate this evolving landscape, fostering a collaborative approach will be crucial in shaping a future where AI serves humanity's best interests.

[inkskinned]

i have chronic pain. i am neurodivergent. i understand - deeply - the allure of a "quick fix" like AI. i also just grew up in a different time. we have been warned about this.

15 entire years ago i heard about this. in my forensics class in high school, we watched a documentary about how AI-based "crime solving" software was inevitably biased against people of color.

my teacher stressed that AI is like a book: when someone writes it, some part of the author will remain within the result. the internet existed but not as loudly at that point - we didn't know that AI would be able to teach itself off already-biased Reddit threads. i googled it: yes, this bias is still happening. yes, it's just as bad if not worse.

i can't actually stop you. if you wanna use ChatGPT to slide through your classes, that's on you. it's your money and it's your time. you will spend none of it thinking, you will learn nothing, and, in college, you will piss away hundreds of thousands of dollars. you will stand at the podium having done nothing, accomplished nothing. a cold and bitter pyrrhic victory.

i'm not even sure students actually read the essays or summaries or emails they have ChatGPT pump out. i think it just flows over them and they use the first answer they get. my brother teaches engineering - he recently got fifty-three copies of almost-the-exact-same lab reports. no one had even changed the wording.

and yes: AI itself (as a concept and practice) isn't always evil. there's AI that can help detect cancer, for example. and yet: when i ask my students if they'd be okay with a doctor that learned from AI, many of them balk. it is one thing if they don't read their engineering textbook or if they don't write the critical-thinking essay. it's another when it starts to affect them. they know it's wrong for AI to broad-spectrum deny insurance claims, but they swear their use of AI is different.

there's a strange desire to sort of divorce real-world AI malpractice over "personal use". for example, is it moral to use AI to write your cover letters? cover letters are essentially only templates, and besides: AI is going to be reading your job app, so isn't it kind of fair?

i recently found out that people use AI as a romantic or sexual partner. it seems like teenagers particularly enjoy this connection, and this is one of those "sticky" moments as a teacher. honestly - you can roast me for this - but if it was an actually-safe AI, i think teenagers exploring their sexuality with a fake partner is amazing. it prevents them from making permanent mistakes, it can teach them about their bodies and their desires, and it can help their confidence. but the problem is that it's not safe. there isn't a well-educated, sensitive AI specifically to help teens explore their hormones. it's just internet-fed cycle. who knows what they're learning. who knows what misinformation they're getting.

the most common pushback i get involves therapy. none of us have access to the therapist of our dreams - it's expensive, elusive, and involves an annoying amount of insurance claims. someone once asked me: are you going to be mad when AI saves someone's life?

therapists are not just trained on the book, they're trained on patient management and helping you see things you don't see yourself. part of it will involve discomfort. i don't know that AI is ever going to be able to analyze the words you feed it and answer with a mind towards the "whole person" writing those words. but also - if it keeps/kept you alive, i'm not a purist. i've done terrible things to myself when i was at rock bottom. in an emergency, we kind of forgive the seatbelt for leaving bruises. it's just that chat shouldn't be your only form of self-care and recovery.

and i worry that the influence chat has is expanding. more and more i see people use chat for the smallest, most easily-navigated situations. and i can't like, make you worry about that in your own life. i often think about how easy it was for social media to take over all my time - how i can't have a tiktok because i spend hours on it. i don't want that to happen with chat. i want to enjoy thinking. i want to enjoy writing. i want to be here. i've already really been struggling to put the phone down. this feels like another way to get you to pick the phone up.

the other day, i was frustrated by a book i was reading. it's far in the series and is about a character i resent. i googled if i had to read it, or if it was one of those "in between" books that don't actually affect the plot (you know, one of those ".5" books). someone said something that really stuck with me - theoretically you're reading this series for enjoyment, so while you don't actually have to read it, one would assume you want to read it.

i am watching a generation of people learn they don't have to read the thing in their hand. and it is kind of a strange sort of doom that comes over me: i read because it's genuinely fun. i learn because even though it's hard, it feels good. i try because it makes me happy to try. and i'm watching a generation of people all lay down and say: but i don't want to try.

[sagorika]

Why Fujitsu introduced a power-saving AI application for Open RAN with Virtuora SMO?

Fujitsu introduced a power-saving AI application for Open RAN with Virtuora SMO #AI #ArtificialIntelligence #OpenRAN #VirtuoraSMO #Fujitsu #Telefónica #DeutscheTelekon #Huawei #Ericsson #ZTE #Nokia

In December 2023, a power-saving AI application was introduced by Fujitsu for Open RAN with Virtuora Service Management and Orchestration (SMO). The application used AI technology for optimizing network capacity by switching it on or off as needed to reduce power consumption by over 20% compared to conventional methods. What is Open RAN? Open RAN (Radio Access Network), a new architecture for…

[sophiebaybey]

Not to preach to the choir but I wonder if people generally realize that AI models like ChatGPT aren't, like, sifting through documented information when you ask it particular questions. If you ask it a question, it's not sifting through relevant documentation to find your answer, it is using an intensely inefficient method of guesswork that has just gone through so many repeated cycles that it usually, sometimes, can say the right thing when prompted. It is effectively a program that simulates monkeys on a typewriter at a mass scale until it finds sets of words that the user says "yes, that's right" to enough times. I feel like if it was explained in this less flattering way to investors it wouldn't be nearly as funded as it is lmao. It is objectively an extremely impressive technology given what it has managed to accomplish with such a roundabout and brain-dead method of getting there, but it's also a roundabout, brain-dead method of getting there. It is inefficient, pure and simple.

[aibyrdidini]

HOW TO BUILD AN AI APPLICATION FROM SCRATCH

Building an AI application requires a step-by-step approach, starting with problem identification and data collection.

Here's a simplified breakdown:

1. Identify the Problem and Value Proposition

Clearly define the problem your AI will solve and the value it will offer users.

2. Collect and Clean Data

Gather high-quality data, categorized as structured (e.g., names, dates) or unstructured (e.g., images, text).

Clean and process the data to ensure its accuracy and usability.

3. Choose and Create Algorithms

Select or create algorithms (mathematical instructions) for the AI to learn from the data.

4. Train and Optimize the Model

Train the AI model on the prepared data, aiming for high accuracy.

Refine and optimize the model as needed.

5. Select a Platform and Tools

Choose an in-house or cloud-based platform for development and deployment.

Select programming languages like Python, suitable for machine learning tasks.

6. Deploy and Monitor

Deploy the AI application and continuously monitor its performance.

Python Code Snippet (POC):

import pandas as pd

from sklearn.model_selection import train_test_split

from sklearn.linear_model import LogisticRegression

# Load data

data = pd.read_csv("your_data.csv")

# Split data into features and target variable

X = data.drop("target_column", axis=1)

y = data["target_column"]

# Split data into training and testing sets

X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2)

# Create and train a Logistic Regression model

model = LogisticRegression()

model.fit(X_train, y_train)

# Make predictions on the test set

predictions = model.predict(X_test)

# Evaluate model performance

accuracy = model.score(X_test, y_test)

print("Accuracy:", accuracy)

Here's a brief explanation of the Python code snippet:

Purpose: This code demonstrates training a simple machine learning model for binary classification using Logistic Regression.

Steps:

Imports libraries:

pandas for data manipulation.

sklearn.model_selection for splitting data into training and testing sets.

sklearn.linear_model for Logistic Regression.

Loads data: Assumes a CSV file named "your_data.csv" containing features and a target variable.

Splits data: Separates features (X) from the target variable (y). Further splits X and y into training and testing sets (80% training, 20% testing).

Creates and trains a model: Initializes a Logistic Regression model and trains it on the training data (X_train, y_train).

Makes predictions: Uses the trained model to predict on the testing data (X_test).

Evaluate performance: Calculates the model's accuracy on the testing data and prints it.

This is a simplified overview.

The specific steps and tools involved will vary depending on your project's complexity and requirements.

Also, in Real-world AI applications involve more complex models, data processing, and evaluation techniques.

RDIDINI PROMPT ENGINEER.

[sathiyario05-blog]

What is mean Cybersecurity??How its used for IT industries.

  One of the biggest and economically high value compare to other industries is Information Technology industries. Mostly service Based IT industries running in India.IT industries used Cybersecurity for protection. What is mean by Cybersecurity?? Cybersecurity is the Practice of Protecting systems,networks and Programs from digital attacks. Main role of Cybersecurity Protecting an…

[unionyaoizine]

Contributor applications for the Union Yaoi zine are OPEN! If interested in being a page or merch artist please fill out the form below 🔗👇 

Form closes 2 weeks from now 09/20 9PM PST (a Friday).

[lackadaisical-refrigerator]

Dystopian button my friend saw during a job application

[nando161mando]

Nobody wants to work anymore

[andypantsx3]

every service that keeps peddling me their AI writing assistant taste my blade challenge

[clonerightsagenda]

This may be an incredibly silly question, but it's coming from someone who's aroace and once lay awake for several hours convincing themself that romantic attraction didn't exist because it's all so contextual and you can't draw clear lines:

Would sexual attraction exist if you're not embodied? Like, if you're drawing clear lines between sexual attraction and other types of attraction (which not everyone does) and you didn't have a physical body with the hormones and organs that come with it, would someone in that situation be able to experience sexual attraction? Does part of it live in the mind and would still be there, distinct from other types of attraction, even if you lack the physicality to act on it?

I imagine people might have different answers depending on their experiences with their own attraction, but I'm genuinely curious.

[kittyit]

6/1/2025

[jakeperalta]

how it feels sitting in my review meeting listening to my manager tell me she'd die if I left and I'm the star of the team and the amount of work I produce is insane and my quality of work is the best knowing full well that none of it matters because two months ago she gave me a 3 out of 5 rating and no pay rise

[reputayswift]

Hearing older people with cool impressive creative jobs talking about how they just showed up at the door and got hired out of college