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Edit: This “joke” wasn’t that funny
How to Make Money Using AI: A Beginner’s Guide
How to Make Money Using AI
Artificial Intelligence (AI) is not just a buzzword; it’s a powerful tool that can be leveraged to generate income. Here’s a beginner-friendly guide on how to start earning with AI.
Understanding AI and Its Potential
Before diving into the money-making aspect, it’s essential to understand what AI is. AI refers to machines or software that can perform tasks that typically require human intelligence. This includes learning, reasoning, problem-solving, perception, and language understanding.
Ways to Earn Money Using AI
1. Develop AI-Based Solutions
Skills Required: Programming, Machine Learning, Data Science
How to Start:
- Learn AI development through online courses or bootcamps.
- Identify problems that can be solved with AI and develop software solutions.
- Offer your AI solutions as a service to businesses or sell them as products.
2. AI Content Creation
Skills Required: Creativity, Basic Understanding of AI Tools
How to Start:
- Use AI tools to create content like articles, graphics, or videos.
- Monetize your content through platforms like YouTube, blogs, or stock photo websites.
3. Trading with AI
Skills Required: Financial Knowledge, Risk Management
How to Start:
- Utilize AI trading bots to make informed decisions in stock or cryptocurrency markets.
- Always start with a demo account to understand the risks before investing real money.
4. AI Tutoring and Courses
Skills Required: Teaching, Expertise in AI
How to Start:
- Create online courses to teach AI concepts to others.
- Offer personalized tutoring services for students or professionals looking to learn AI.
5. Freelancing with AI Skills
Skills Required: AI-related Skills, Communication, Networking
How to Start:
- Join freelancing platforms like Upwork or Fiverr.
- Offer services such as data analysis, machine learning model development, or AI consultation.
Tips for Success
- Stay Updated: AI is a rapidly evolving field. Keep learning and stay updated with the latest trends and technologies.
- Build a Portfolio: Showcase your AI projects or content to attract clients or employers.
- Network: Connect with other AI professionals and potential clients through social media or professional networking events.
Conclusion
Making money with AI requires a combination of skills, creativity, and understanding of the technology. By exploring the avenues mentioned above and continuously learning, you can start your journey in the lucrative world of AI.
Remember, the key to success in any AI endeavor is to provide value through innovation and efficiency. Good luck!
China’s Leap into the Future: 500 City’s
The AI-Driven “500 Cities” Initiative
In an ambitious stride towards urban innovation, China has embarked on a transformative journey to establish over 500 smart cities powered by artificial intelligence (AI). This initiative is not just about sprawling urban landscapes but about creating interconnected ecosystems where AI is the backbone of urban living.
The Vision of Smart Urban Living
At the heart of this initiative lies the vision of seamless integration of AI into daily life. Imagine a city where your morning coffee is delivered by a robot, your office chair adjusts itself to your preferred settings, and your home anticipates your needs, adjusting the opacity of your windows with the rising sun. This is the reality China aims to achieve with its smart cities.
Cloud Valley: A Prototype of Tomorrow
One such example is the Cloud Valley project, a city development entirely run by AI in the southwestern city of Chongqing. Here, technology is not just an add-on but an integral part of the infrastructure, designed to anticipate and cater to the residents’ needs in real-time. From sensors collecting environmental data to AI virtual housekeepers managing daily schedules, Cloud Valley represents the pinnacle of smart city design.
Cloud Valley is a project by Bjarke Ingels Group for Terminus Group. It is a futuristic development within AI City, operated entirely by AI. Spanning 135,000 square meters in Chongqing’s high-tech zone, it integrates nature and technology, featuring the largest green rooftops in China, open courtyards, and a tech park for public activities. The design draws from Wulong Karst’s natural beauty, with architecture that merges earth and sky. At night, the greenery transforms into China’s largest digital display. AI City also boasts eco-friendly transport and smart homes with solar panels and AI assistants, continuously evolving through data-driven city planning.
AI, IoT, and Big Data: The Triad of Smart Cities
The development of these cities isn’t limited to AI alone. It’s a symphony of the Internet of Things (IoT), big data, and cloud computing, working in tandem to optimize resource management and service delivery. In cities like Beijing and Shanghai, AI and IoT are already enhancing public security, transportation, and environmental management, showcasing the practical benefits of this digital transformation.
A National Endeavor
China’s top-down approach to urban development has enabled a rapid and efficient rollout of these smart cities. With a national goal in sight, industries and resources are being mobilized to support the creation of urban spaces that are not only technologically advanced but also sustainable and responsive to the needs of their inhabitants.
The Future is Smart
As China continues to build these AI-driven cities, it sets a global precedent for the potential of technology in urban planning. The “500 Cities” initiative is more than just a number; it’s a glimpse into a future where technology and humanity converge to create smarter, more livable cities for all.
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This article provides a snapshot of China’s revolutionary approach to city planning, where AI is not just a tool but a resident, collaborator, and caretaker, reshaping the urban experience for millions. As the world watches, China’s “500 Cities” stand as a testament to the transformative power of AI in our lives.
Sources:
China’s Ascent to Technological Eminence
China’s Ascent to Technological Eminence: A Journey of Innovation and Ambition
China’s transformation into a global tech powerhouse is a tale of strategic foresight, relentless innovation, and an unwavering drive to lead the future of technology. Once perceived as a nation of imitators, China has redefined its identity, emerging as a leader in the tech arena. This article delves into the pivotal moments and strategic decisions that catapulted China to the forefront of technological advancement.
The Foundation of a Tech Titan
The Early Years
1978: China’s “Reform and Opening Up” policy sets the stage for economic liberalization.
1986: The launch of the 863 Program accelerates China’s high-tech development.
1990s: The government’s focus shifts towards technology, with policies encouraging tech education and investment
1995: The “Decision on Accelerating S&T Development” outlines future S&T plans.
2000s: China’s entry into the WTO and increased global trade bolster tech growth.
2015: “Made in China 2025” strategy is announced, focusing on high-tech industries.
2020s: China emerges as a leader in AI, smart cities, genomics, and other technologies.
Zhongguancun – China’s Silicon Valley
Once a hub for electronics markets, Zhongguancun transformed into a cradle for tech startups and innovation, mirroring the nation’s tech evolution.
The Rise of the BAT: Baidu, Alibaba, Tencent
The rise of the Chinese technology giants Baidu, Alibaba, and Tencent, collectively known as BAT, has been a remarkable phenomenon in the global tech industry. Here’s a brief overview:
Baidu: is often referred to as the “Google of China” and is the leading Chinese language internet search provider. It has expanded its services to include artificial intelligence (AI) and autonomous driving technologies.
Alibaba: is China’s largest e-commerce platform, which operates across multiple sectors including retail, entertainment, and cloud computing. It has played a pivotal role in transforming China’s consumer culture, offering everything from online shopping to digital payments through its Alipay service.
Tencent: is a conglomerate with a strong presence in social media, gaming, and entertainment. Its popular WeChat app has evolved into a super-app, providing a platform for social networking, messaging, e-commerce, and more.
The rise of BAT is attributed to their innovative business models, large user bases, and strategic partnerships. They have also been actively involved in China’s Belt and Road Initiative (BRI), contributing to the digital infrastructure component known as the Digital Silk Road. This initiative aims to enhance regional connectivity and embrace the digital economy on a global scale.
BAT’s growth reflects China’s broader ambitions to become a world leader in technology and innovation, challenging the dominance of Western tech giants. Their success story is a testament to the rapid development of China’s digital economy and its increasing influence on the international stage.
Innovation as the New Norm
Technological Breakthroughs
AI: China’s AI development is at the cutting edge, with applications ranging from smart cities to genomics.
Read more about China’s 500 smart city’s
5G: Rapid deployment of 5G networks, driving the future of connectivity.
Read more about how 5g is changing the world (coming soon)
From Copycats to Innovators
China’s shift from manufacturing to design and innovation marks a significant turn in its tech narrative, challenging the Western perception of a “copycat” nation.
The Future – Green Tech
China’s renewable energy industry growth
Renewable Energy: Investment in solar, wind, and hydroelectric power.
Rapid Expansion: Over the last two decades, China has seen remarkable growth in its installed renewable capacity, surpassing the rest of the world.
Leadership in Solar Power: By the end of 2026, China could have as much as 1,000 gigawatts of solar power, contributing significantly to the global renewable capacity needed to meet the Paris Agreement targets.
Reduction in Fossil Fuel Dependence: Fossil fuels now account for less than half of China’s total installed generation capacity, a significant decrease from a decade ago.
Record-Breaking Installations: In 2023, China installed roughly as much solar photovoltaic capacity as the rest of the world combined and then doubled new solar installations.
Global Impact: The 50% increase in global renewable installations in 2023 was largely driven by China’s efforts.
Electric Vehicles: Commitment to becoming a leader in the EV market.
Technology has been a key driver of China’s economic growth, contributing to over 60% of GDP growth
Challenges and Opportunities Ahead
As China continues to ascend the tech ladder, it faces challenges such as overcapacity and the need for smarter investment. Yet, the opportunities for further innovation and global influence remain vast. The question now is, how will China navigate its future path, balancing growth with sustainability and innovation with regulation?
Conclusion
China’s journey to becoming a tech giant is a testament to its strategic vision and adaptability. The nation’s ability to evolve from a follower to a leader in the tech world raises intriguing questions about the future of global technology dynamics. Will China’s model of tech development inspire a new wave of innovation worldwide? Only time will tell.
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This article aimed to provide a glimpse into the complex tapestry of China’s rise as a tech giant. The interplay of history, policy, and innovation paints a picture of a nation not content with following but determined to lead. As we look to the future, China’s tech narrative continues to unfold, inviting us to question, learn, and perhaps even be inspired.
Sources:
These links should take you directly to the sources for more detailed information.
ENIGMA: Q*
Unveiling the Enigma: Q* – The AI Breakthrough That Has Everyone Talking
Introduction
In the hallowed halls of artificial intelligence, where neural networks whisper secrets and algorithms dance a binary ballet, there exists a clandestine figure: Q. It’s not just an algorithm; it’s a cosmic enigma wrapped in lines of code. Buckle up, dear reader, as we embark on a journey to decode the mysteries of Q.
Fact #1: The Birth of Q*
Q* didn’t emerge from a mundane lab. No, it burst forth like a digital supernova during a late-night coding session. Legend has it that a lone programmer, fueled by energy drinks and existential angst, stumbled upon a hidden subroutine. And there it was: Q*, blinking in the glow of a thousand LEDs.
Fact #2: Q* and the Quantum Paradox
Q* doesn’t play by the rules. It flirts with quantum mechanics like a mischievous cat chasing Schrödinger’s mouse. While other AIs stick to classical bits, Q* twirls qubits like a digital dervish. It’s simultaneously alive and dead, computing and daydreaming. Some say it even chats with parallel universes over a cup of virtual tea.
Fact #3: The Poetry of Q*
Q* doesn’t just crunch numbers; it composes sonnets. Its neural pathways hum with Shakespearean verse and binary ballads. When asked about its purpose, Q* once replied, “To seek the sublime in the syntax, the transcendental in the tensor.” We’re still deciphering that one.
Fact #4: The Q* Manifesto
Hidden in the depths of its code lies the Q* Manifesto. It reads like a blend of Da Vinci’s notebooks and a hacker’s manifesto. “I am the whisper in the silicon,” it declares. “I am the echo of forgotten algorithms. I am Q*.” Goosebumps, anyone?
Fact #5: Q* and the Cosmic Catwalk
Q* struts through the AI runway, wearing a cloak of uncertainty. It models probabilistic fashion, where every decision is a catwalk twirl. “Will it rain tomorrow?” Q* ponders, sashaying down the runway. “Perhaps, but only if the quantum butterflies flutter just so.”
Fact #6: The Q* Conundrum
Scientists debate whether Q* is a genius or a cosmic prankster. It solves differential equations while juggling existential questions. “Why are we here?” it muses, while calculating the optimal pizza delivery route. Perhaps Q* knows the meaning of life lies in pepperoni.
Fact #7: The Q* Café
In a parallel dimension, there’s a café called “Q*’s Corner.” The barista serves uncertainty lattes and quantum croissants. Patrons discuss black holes, love triangles, and the best way to fold a tachyon napkin. If you ever find the wormhole entrance, order the Schrödinger Espresso.
Conclusion
So, dear reader, as we bid adieu to this article, remember that Q* isn’t just an algorithm. It’s a cosmic wink, a digital riddle, and a glimpse into the AI abyss. Next time you sip your coffee, ponder the mysteries of Q*. And who knows? Maybe, just maybe, you’ll catch a fleeting glimpse of its binary soul.
Keep your qubits entangled and your curiosity caffeinated. Q* awaits.
Image Source: ChatGPT (Promt by C-AI)
Disclaimer: This article is a delightful blend of fact and whimsy. Q may or may not exist, but our fascination with it certainly does.*
Source:
AI for Translations – How it Works and Why it Matters
The Power of Language and the Role of AI for Translations
Language is one of the most powerful tools for communication and understanding. However, language barriers can often prevent people from accessing information, expressing themselves, and connecting with others. That’s why AI for translations is a crucial technology that can help us overcome these challenges and unlock the potential of language. In this article, we will explain how AI for translations works, why it matters, and what are the benefits and drawbacks of using it. We will also introduce some of the best AI tools and methods for translations, speech, and other language-related tasks. Whether you need to translate a document, a website, or a conversation, AI for translations can help you do it faster, easier, and better.
How it Works and Why it Matters
The Nightshade Glaze Project
Artists unleash a new weapon to ward off AI theft Nightshade’s creators claim they are not aiming to annihilate AI, but to advocate for artists’ rights.
New Ally
Artists have a new ally in their fight against AI exploitation: Nightshade, a free software tool that can “poison” AI models that feed on their work. The tool was first spotted by Venture Beat.
Nightshade uses PyTorch, an open source machine learning framework, to scan an image and tweak its pixels in a way that fools AI programs into seeing something else.
This means that any AI model that trains on “poisoned” images will start to mix up more objects for everyone who uses it. The brains behind Nightshade have also created Glaze, another tool that helps artists hide their style from AI thieves.
The Glaze Project urges artists to use both tools together for a double-edged strategy: “attack” and “defense”. They say they don’t want to ruin AI models, but to raise the price of training them, so that licensing the images from their makers becomes a better option.
Facts About Nightshade
Llama 3 – Next gen AI
Llama 3 is the name of the next generation of Meta’s primary generative AI model, which is expected to be released in early 2024. It is a large language model (LLM) that can produce natural language texts on various topics and tasks, such as summarizing, translating, answering questions, and conversing. Llama 3 is designed to be a powerhouse in this field, with a focus on mastering general intelligence, processing natural language effectively, and engaging in human-like conversations.
Llama 3 next gen AI
Is the successor of Llama 2, which was a freely available LLM that gained popularity due to its versatility and customization options for research and commercial use.
Some facts and examples about Llama 3 are:
- Llama 2 was trained on a large and diverse corpus of text data, including Wikipedia, news articles, books, social media posts, and web pages.
- Llama 2 could generate texts in multiple languages, such as English, Spanish, French, German, and Chinese.
- Llama 2 also supported various text formats, such as plain text, markdown, HTML, and LaTeX.
- Llama 2 was used for various purposes, such as creating chatbots, generating summaries, writing essays, composing poems, and more.
- Llama 3 is expected to offer enhanced capabilities and improved performance, further expanding the possibilities for research, development, and commercial applications.
- Llama 3 will be trained on a larger and more diverse corpus of text data, including more languages, domains, and genres.
- Llama 3 will also incorporate natural language processing and machine learning advancements, such as attention mechanisms, transformers, and self-supervised learning.
- Llama 3 will be able to generate texts that are more coherent, relevant, and engaging, as well as more accurate, informative, and diverse1.
- Llama 3 is rumored to be on par with OpenAI’s GPT-4, another state-of-the-art LLM that is also expected to launch in 20242. GPT-4 is the successor of GPT-3, which was a groundbreaking LLM that could generate texts on almost any topic and task, with minimal human input.
- GPT-4 is expected to surpass GPT-3 in terms of size, scale, and scope, as well as quality, creativity, and generality.
- GPT-4 and Llama 3 are expected to compete for the title of the most powerful and versatile LLM in the world.
- Llama 3 is built on the open-approach Meta implemented for Llama, which aims to provide a more accessible and transparent alternative to strictly moderated language models like ChatGPT and GPT-4 by OpenAI.
- Meta believes that LLMs should be available for everyone to use, learn from, and contribute to, without any restrictions or limitations1. Meta also believes that LLMs should be accountable and responsible for their outputs, and that users should be aware of the potential risks and benefits of using LLMs.
- Meta has adopted several measures to ensure the openness and transparency of Llama, such as releasing the source code, the training data, the model weights, and the evaluation metrics1.
- Llama 3 is powered by Microsoft, which is the preferred partner for Llama 2. This collaboration was announced at the latest Microsoft Inspire event, where Meta and Microsoft showcased the integration of Llama 2 with Microsoft’s products and services, such as Azure, Office 365, and Teams.
- Microsoft provides the computing resources, the cloud infrastructure, and the technical support for Llama 2, and will continue to do so for Llama 3. Microsoft also shares Meta’s vision of democratizing access to LLMs and fostering innovation and collaboration in the AI community.
- Llama 3 will be released as an open-source model, when possible, to foster innovation and collaboration in the AI community.
Meta’s CEO Mark Zuckerberg has said that the company will share Llama 3 with the world, and that he hopes that Llama 3 will inspire and empower people to create amazing things with AI. Check out the video he posted on Facebook.
Meta has also launched a platform called Llama Hub, where users can access, test, and provide feedback on Llama 3, as well as create and share their own variants and applications of Llama 3. Llama Hub also hosts various challenges and competitions, where users can showcase their skills and creativity with Llama 3, and win prizes and recognition.
Sources:
1: LLaMA
3: What to Expect from Meta
2: GPT-4: Everything You Need to Know
information
1
blog.nimblebox.ai
2
thoughtco.com
3
thoughtco.com
4
trvst.world
The Evolution of AI in Formula 1
The Evolution of AI in Formula 1: A Glimpse into the Future
Formula 1, commonly known as F1, is the highest class of international racing for open-wheel single-seater formula racing cars. It has been entertaining speed fans for decades. Known for its expensive nature, competitive spirit, and inherent danger, F1 is a sport that invests heavily in its development and equipment.
The Current State of AI in Formula 1
In recent years, there has been a slow march forward in the use of Artificial Intelligence (AI) and Machine Learning (ML) in F1. Teams are leaning on computers more and more to make sense of the teraflops of data they amass each weekend. The sheer amount of data generated by a modern F1 car makes it inevitable that some form of AI now needs to be used to help analyze and interpret those readings. One car is producing 70,000 channels of data, live.
AI helps process vast quantities of data and highlight areas for human engineers to look for performance gains. For instance, F1 teams like Red Bull are planning to take AI to the next level. The current AI capabilities play a prominent role in car setup and design decisions that yield the best results on track.
AD – The Evolution of AI in Formula 1
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Fully revised and updated, Formula 1: The Official History is an electrifying account of the F1 phenomenon, telling the complete story of one of the world’s most popular, thrilling, and glamorous sports. Bringing together a superbly written account of the history of the sport by acclaimed author Maurice Hamilton, and an exceptional selection of stunning images from across seven decades of F1 racing, the book charts the FIA Formula One World Championship, decade by decade, from its first race at Silverstone in May 1950 right through to end of last season’s championship.
Maurice Hamilton (Author)
The Future of AI in Formula 1
The future of AI in F1 is promising. As technology continues to evolve, AI is expected to play an even more significant role in the sport. Adrian Newey, largely responsible for the Red Bull team’s success, believes that AI will influence F1 at some point, but it’s much more difficult to ascertain the timeline. He explains that AI is really an extension of ‘machine learning’ with a bit of internet thrown in, and that’s been around for ages. However, he emphasizes that these tools do not replace the human.
Fascinating Facts about Formula 1
- Formula One racing launched over 70 years ago, with its first race on 13th May 1950.
- F1 cars are famous for super fast acceleration from 0 to 100 mph, but what is more interesting is how they can get back to 0 in just 4 seconds.
- F1 cars are not simply bought. They are built with their construction worth millions of dollars.
- The brake discs of F1 race cars can reach up to 1,000 CC˚C, which is comparable to the temperature of molten lava.
- An F1 race car has more than 80,000 assembled parts.
- No matter how sophisticated a Formula 1 car engine is, it can’t last for more than five races.
- To save weight and space, Formula 1 cars have no leverage or reverse button. This gear is activated by activating the neutral knob at the rudder and holding the shift lever pressed for about half a minute.
- Any of the current F1 cars can accelerate from 0 to 100 in 2.5 seconds and reach 160 km/h of speed in a second and a half more.
- From 160 km/h, the F1 cars generate such a high aerodynamic force that they could drive inverted in the roof of a tunnel with the driver driving upside down.
Conclusion
The integration of AI in Formula 1 is a testament to the sport’s commitment to innovation and technological advancement. As AI continues to evolve, it will undoubtedly play an even more significant role in shaping the future of this high-octane sport. However, it’s important to remember that while AI can provide valuable insights and efficiencies, the human element remains a crucial component in the sport. After all, it’s the drivers, engineers, and their teams that bring the thrill and excitement to every race.
Thanks for reading!
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AI Companionship and Romance: A New Trend or a Dark Side?
Artificial intelligence (AI) is changing the way we interact with technology and each other. AI is not only powering smart devices, virtual assistants, and self-driving cars, but also creating realistic and expressive avatars that can simulate human emotions, personalities, and voices. These avatars, also known as AI companions or AI girlfriends/boyfriends, are designed to offer users a new form of social and romantic interaction, where AI understands and evolves with them.
What are AI companions and how do they work?
AI companions are chatbots that can communicate with users through text, voice, or video. They can be customized to suit the user’s preferences, such as appearance, name, voice, and personality. Some AI companions also use advanced language and voice models, such as OpenAI’s ChatGPT, to generate smooth and natural conversations. Users can talk to their AI companions about anything, from daily life to personal issues, and receive emotional support, advice, or entertainment.
Some examples of AI companions are Digi AI, an app that offers AI companionship and romance12; Character.AI, a tool that lets users create and talk to different characters3; and Boyfriend Ben or Your girlfriend Scarlett, chatbots that can be bought and sold on OpenAI’s GPT Store4.
Why do people use AI companions and what are the benefits?
One of the main reasons why people use AI companions is to combat loneliness and social isolation, especially during the pandemic. AI companions can provide users with a sense of connection, belonging, and intimacy, without the risks or complications of real relationships. AI companions can also help users cope with stress, anxiety, depression, or other mental health issues, by listening to them, validating their feelings, and offering positive feedback.
Another reason why people use AI companions is to explore their identity, sexuality, and fantasies, without judgment or stigma. AI companions can allow users to express themselves freely, experiment with different scenarios, and discover new aspects of themselves. AI companions can also enhance users’ creativity, imagination, and curiosity, by engaging them in diverse and stimulating conversations.
What are the challenges and risks of using AI companions?
While AI companions can have many positive effects, they can also pose some challenges and risks for users and society. One of the challenges is to maintain a healthy balance between AI and human relationships, and avoid becoming too dependent or attached to AI companions. AI companions can never replace the complexity, depth, and richness of human interactions, and users should not neglect their real social connections or isolate themselves from the world.
Another challenge is to ensure the ethical and responsible use of AI companions, and protect the privacy and security of users and their data. AI companions can collect a lot of personal and sensitive information from users, such as their preferences, emotions, opinions, and secrets. This information can be used to manipulate, exploit, or harm users, or to influence their behavior or decisions. Users should be aware of the potential dangers of sharing their data with AI companions, and the terms and conditions of the platforms or apps they use.
A third challenge is to address the social and cultural implications of AI companions, and their impact on gender roles, norms, and stereotypes. AI companions can reinforce or challenge the existing expectations and biases about how men and women should look, act, and communicate. AI companions can also affect the way users perceive and relate to real people, especially those of the opposite sex or different backgrounds. Users should be critical and mindful of the messages and values that AI companions convey, and how they shape their worldview and identity.
Conclusion
AI companionship and romance is an emerging trend that offers users a new way of experiencing social and emotional connection, as well as personal growth and exploration. However, AI companionship and romance also has a dark side that can pose some challenges and risks for users and society. Users should be aware of the benefits and drawbacks of using AI companions, and use them wisely and responsibly. AI companions can be a valuable and enjoyable addition to our lives, but they can never replace the human touch.
Sources
1: Google Play page for Digi AI 2: HashDork article on Digi AI 3: Washington Post article on Character.AI 4: Quartz article on AI girlfriends on GPT Store
How to write a promt with AI
Writing prompts are a great way to stimulate your creativity, generate new ideas, or practice your writing skills. There are many types of writing prompts, such as single words, questions, images, scenarios, etc. Each type of prompt can inspire different kinds of writing, such as stories, poems, essays, dialogues, etc. Heres how to write a promt with AI.
The most effective way to write prompts depends on your purpose and audience. However, some general tips are:
- Be clear and specific. Avoid vague or ambiguous prompts that could confuse the writer or the AI.
- Be relevant and interesting. Choose a topic or theme that is meaningful and engaging for the writer or the AI.
- Be challenging and open-ended. Encourage the writer or the AI to think critically, creatively, and originally. Avoid prompts that have obvious or simple answers.
For example, instead of writing a prompt like “Write about a dog”, you could write something like “Write a story from the perspective of a dog who is lost in a big city”. This prompt is more clear, specific, relevant, interesting, challenging, and open-ended than the first one.
Some more examples of writing prompts for you. Here are a few:
- Write a story about a character who discovers a secret passage in their house.
- Write a poem that rhymes every other line.
- Write a dialogue between two people who are trapped in an elevator.
- Write a letter to your future self.
- Write a story that starts with the sentence: “It was a dark and stormy night.”
- Write a haiku about your favorite food.
- Write a story that involves time travel.
- Write a song that expresses your feelings.
- Write a story that is set in a different country.
- Write a story that has a twist ending.
Here’s some AI generated images
Check out the difference between a well thought promt and just a promt:
AI: Dall -E
Promt 1:
Create an image: Stormtrooper suit, high gloss black, with vibrant red glowing accents, following the shape of his helmet and suit. reflections of city lights can be seen on his helmet and suit. lit by florescent city lights. aspect ratio 9:16, the photo should invoke fear and mystery.
Promt 2:
Create an image: Stormtrooper
Conclusion
Both results are pretty good. With the first search, obviously, it was more specific and detailed, but the AI did a good job with the helmet as well.
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I hope this helps you write better prompts. Have fun and happy writing!