#Twitter automation

[sociocosmos]

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[carlene0619]

With this infographics you will learn more about why unlike all tweets can improve your Twitter strategy.

[captainjonnitkessler]

I can't take it anymore. Ppl on twitter are saying "fuck ai" to the translation feature now using grok vs google translate, seemingly not knowing what the fuck google translate system is. We gotta get more literate abt this

Google Translate is another example of automation decimating a job market while providing lower-quality work than a human would that absolutely nobody cared about before artists were impacted. The fact that no one realized it was AI is just the cherry on top.

[unbfacts]

In 2016, a Comcast user frustrated with slow internet used a Raspberry Pi to tweet Comcast every hour. The bot checked speeds, and if they dropped below what was promised, it sent an automated tweet showing the results directly to Comcast.

[boop-le-snoot]

I am once again begging people to at least backsearch the images on “fundraisers” they are reposting before sending strangers money

[envyxquincydog]

CATWEEDNAP IS IN DANGER?!?!?

[attila-werther]

having a most Terrible Day but the sextus pompey-antony fic has successfully taken over some part of my brain. so.

[gobhoblingreg]

Another thing that concerns me about this is the fact that somebody could repost your art from one site, like tumblr, onto X/Twitter. Even without the artist themselves being on X/Twitter, their art or intellectual property would likely still be used because this amendment to their services doesn’t specify that you have to be the original creator in order for them to take and use your work. It basically implies that anything and everything that gets posted there can be used for these purposes regardless of the user who posts the content. So while leaving the platform might lessen the chances of your work getting used for these purposes, it only takes one person reposting to become victim to them anyways.

I can also imagine that if other social media platforms aren’t already doing this to some extent, they will likely follow suit in the near future.

In case any of you here also use X/Twitter.

[sociocosmos]

SocioCosmos: Your One-Stop Shop for Twitter Growth

Are you looking to boost your Twitter presence and reach a wider audience? Look no further than SocioCosmos! We offer a range of affordable and effective solutions to help you grow your Twitter following, increase engagement, and drive real results.

Why Choose SocioCosmos?

High-Quality, Real Followers: We deliver real, active followers who are genuinely interested in your content.

Fast Delivery: Get instant results and start seeing a difference right away.

Secure and Reliable: Your information is safe with us.

24/7 Customer Support: Our dedicated support team is always available to assist you.

Affordable Packages: Choose a plan that fits your budget and needs.

Our Services:

Twitter Followers: Increase your social proof and credibility.

Twitter Likes: Boost your content’s visibility and engagement.

Twitter Retweets: Amplify your message and reach a wider audience.

Ready to Take Your Twitter to the Next Level?

Visit SocioCosmos today and start your journey to Twitter success!

[kamalkafir-blog]

They took away Linda Yaccarino's blue check!

Automated Wisdom Feed: Trending Astrology Predictions, Reiki Healing Tips & Tech News in English Update, 9:00 PM ET, 7/10/25: She has been graced with a blue check once more. Ex-CEO of X, Linda Yaccarino, seems to have left the company on good terms. That is to say, Elon Musk has not disparaged her yet, and we know that he is not known to mince words about his adversaries. But now we have the…

[cesium-sheep]

got a ton of computer work done including stuff I've been putting off for months for the kirblog and for the va, and taran's coming over and they made me cookies because they are a very kind and thoughtful friend TnT and matt's gonna make lasagna soup for dinner.

[learnearninfo]

WHO IS MORE POWERFUL AI OR HUMAN WHO WILL WIN THE RACE?

Table of Contents

Introduction

Understanding the Race Between AI and Humans

Key Takeaways

Understanding the AI vs Humans Competition in the Modern Era

Defining the Battleground of Intelligence

Current State of Machine Learning vs Human Cognition

Key Performance Metrics in the Race

The Evolution of AI and Machine Learning

From Rule-Based to Data-Driven Approaches

Key Milestones: Deep Learning and Neural Networks

Artificial General Intelligence and the Technological Singularity

Human Intelligence: Our Unique Cognitive Advantages

Emotional Intelligence and Creativity

Adaptability and Complex Problem Solving

Social Intelligence and Contextual Understanding

Where Machines Surpass Human Capabilities

Data Processing and Pattern Recognition

Advancements in Gaming and Simulation

Automation and Job Replacement Concerns

The Future of Human-Machine Collaboration

Synergistic Opportunities

Ethical Considerations in AI Development

Regulatory Frameworks for AI Safety

Conclusion

The Future of Intelligence: A Harmonious Blend of AI and Human Abilities

FAQ

Addressing Common Questions on AI vs Humans

Introduction

AI vs Humans: Who Will Win the Race

I'm typing on my laptop, feeling a bit worried. Artificial intelligence (AI) is getting better fast. It makes us wonder if it will beat us or if we can live together.

AI is getting smarter, handling lots of data quickly. It's good at things we used to do. But we have our own special skills like creativity and feeling emotions.

We're looking at how AI and humans compare. We'll see what each side is good at. This will help us figure out what the future holds for us.

Key Takeaways

Investigate the ongoing rivalry between artificial and human intellect.

Examine the strengths, weaknesses, and potential outcomes of this technological race

Understand the importance of comprehending both AI and human capabilities in the modern era

Recognize the need to navigate the complexities and implications of this AI vs. humans dynamic

Prepare for the future, where the outcome will significantly impact the trajectory of our species

Understanding the AI vs Humans Competition in Modern Era

The world of technology is changing fast. The battle between machine smarts and human brains is very interesting. As machines get smarter, it's key to know who's winning in the race of intelligence.

Defining the Battleground of Intelligence

Intelligence is complex. It includes solving problems, making decisions, and feeling emotions. To compare machines and humans, we need to understand all these areas well.

Current State of Machine Learning vs Human Cognition

Machines are getting better at certain things, like analyzing data and playing games. But humans are still better at feeling emotions and being creative. The challenge is to make machines as smart as humans in all ways.

Key Performance Metrics in the Race

To see who's winning, we need clear ways to measure. We look at how fast and accurate machines are. We also check how well they solve problems and make decisions. By watching these, we learn more about both machine and human smarts.

The Evolution of AI and Machine Learning

The world of tech has seen huge leaps in machine learning and artificial intelligence. We've moved from simple rules to deep learning and neural networks. This journey is full of new ideas and growth.

Artificial general intelligence (AGI) aims to make machines as smart as us. We're not there yet, but AI is getting better fast. This makes some think AI is getting too smart for us.

The idea of a technological singularity is very interesting. It's when tech grows so fast, it changes everything. This idea makes experts talk a lot and think deeply.

The Evolution of AI: From Rule-Based to Data-Driven Approaches

Milestones in Machine Learning: Deep Learning and Neural Networks

Artificial General Intelligence: Closing the Gap with Human Cognition

The Potential Implications of a Technological Singularity

"The development of full artificial intelligence could spell the end of the human race. It would take off on its own and rapidly redesign itself. Humans, who are limited by slow biological evolution, couldn't compete, and would be superseded." - Stephen Hawking

As we explore more in machine learning advancements and artificial intelligence superiority, the technological singularity gets closer. How we work with machines and the ethics of AI will change our world.

Human Intelligence: Our Unique Cognitive Advantages

Humans and artificial intelligence are in a race. We need to see what makes us special. Machines are good at some things, but we have unique skills.

Emotional Intelligence and Creativity

Humans are great at feeling emotions. We can understand others and show kindness. This helps us be creative and solve problems in new ways.

Machines can't feel emotions like we do. They can't create like us.

Adaptability and Complex Problem Solving

Humans can learn new things easily. We can solve hard problems in many ways. Our brains are flexible and use our experiences to help us.

This competence is essential in today's fast-changing world.. We value thinking clearly and finding new solutions.

Social Intelligence and Contextual Understanding

Humans are good at understanding people and situations. We can read nonverbal signs and know what's really going on. This helps us make good choices and connect with others.

AI can handle lots of data, but it misses the human touch. It can't understand the small things that matter to us.

As we move forward, our unique abilities will stay important. Even as AI gets better, our creativity, feelings, and ability to connect will shape our future.

Where Machines Surpass Human Capabilities

Artificial intelligence (AI) and machine learning continue to improve. Machines now do things better than humans in some areas. They can process lots of data and find patterns fast.

They also outperform humans at games like chess and Go.. AlphaGo, made by Google's DeepMind, won against the best human Go players. This was a significant event for AI.

Machines are taking over jobs, making people worry about being replaced.They are capable of performing jobs formerly performed by humans.  This change is making people think about the future of work.

"As AI and automation continue to advance, the fear of human obsolescence is a valid concern that must be addressed through thoughtful policymaking and strategic planning."

But humans are still special. We have feelings, can be creative, and understand people better. The goal is to work together with machines. This way, we can solve big problems and find new chances.

The Future of Human-Machine Collaboration

The world is seeing fast changes in artificial intelligence (AI) and machine learning. This makes the future of working with machines very exciting. It could change how we live and work a lot.

Synergistic Opportunities

Machines are good at things like data and quick decisions. Humans are great at feelings, creativity, and solving big problems. Together, they can do amazing things in health, science, and art.

Ethical Considerations in AI Development

As AI gets better, we must think about ethics. We need to make sure AI is fair, private, and open. Experts, ethicists, and leaders must work together to make AI good for everyone.

Regulatory Frameworks for AI Safety

We also need strong rules for AI safety. Leaders and policymakers must create guidelines for AI. These rules should protect us from AI problems like privacy issues and job loss. This way, we can use AI safely and wisely.OpportunityEthical ConsiderationRegulatory ApproachImproved healthcare through AI-assisted diagnostics and drug discoveryEnsuring algorithmic fairness and protecting patient privacyDeveloping recommendations for medical AI systems and data governance.Increased productivity and efficiency in industrial automationAddressing the impact on job displacement and worker retrainingDeveloping policies to manage the transition and support affected workersEnhanced creative capabilities through AI-powered content generationMaintaining human creativity and artistic integrityCrafting regulations to protect intellectual property and artistic expression

We must find a good balance with AI. We want to use its power but also make sure it's used right. By working together, we can make a future where humans and machines help each other, making progress for everyone.

https://learnearninfo.com/wp-content/uploads/2024/11/Future-of-AI.jpg

Conclusion

The AI vs. humans race is complex. It shows that the future of intelligence will mix tech progress and human values. AI and machine learning grow fast, beating humans in some areas. But, human skills like feeling, adapting, and understanding people are still key.

Our future is about working well with AI. We need to use both human and AI strengths together. Ideas like anthropic AI help us keep AI in line with human values. Also, talking about robot rights will grow as AI gets smarter.

In the end, the future of intelligence is a big challenge. Humans and machines may accomplish incredible feats when they collaborate.. This way, we can have a future where tech and people help each other.

FAQ

What is the current state of the competition between artificial intelligence and human intelligence?

The battle between AI and human smarts is complex. Machines beat us in some tasks, like data handling and finding patterns. But, we humans are still better at feeling emotions, being creative, and understanding people.

How are the key performance metrics defined in the AI vs humans competition?

To see who's better, we look at different things. Speed, how accurate you are, how well you scale up, and how you adapt are important. What matters most changes with the task.

What are the biggest advances in artificial intelligence and machine learning?

AI and machine learning have grown a lot lately. They've gotten better at understanding language, seeing pictures, and learning from doing things over and over. The dream of making AI as smart as us is still being worked on.

What are the unique cognitive advantages of human intelligence?

Humans have special smarts that AI doesn't have yet. We're better at feeling emotions, being creative, and solving complex problems. These skills are key in the real world.

In which areas do machines already surpass human capabilities?

Machines are already better at some things. They can process data fast, spot patterns, and make decisions in certain situations. This makes some people worry about losing jobs.

How can humans and machines collaborate effectively in the future?

Working together, humans and machines could do amazing things. We could use each other's strengths to solve problems. But, we need to think about ethics and make rules to use AI wisely.

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[the-big-cheese]

I FUCKING HAAAAAATE TWITERRRRRR FUCCKKKKKKKK!!! I AM TRYIIIIIINGGGG TO MAKE AN ACCOUNT TO LINK MY CHANNEL TO BECAUSE I AM TRYING TO GET INTO STREAMING!! BUT I GOT INSTANTLY FLAGGED AS AN “AUTOMATED ACCOUNT” AND CANNOT POST OR FOLLOW ANYBODY!!! I AM FUCKING LIVIIIIIIDDDDDDDDD AHHHH FUCCCCCKKKKKKK!!!!

[dratefahmed1]

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