Color Your Art with Ease: Adobe Unveils New Firefly AI Tool for Illustrators

Color Your Art with Ease: Adobe Unveils New Firefly AI Tool for Illustrators

Adobe has unveiled its third AI tool as part of the Firefly family, which will enable users to quickly experiment with different colour schemes for illustrations. The “recolor vectors” tool works by uploading a vector graphic file, such as a logo, illustration or mandala, and generates four new illustrations, each with a unique combination of colours. The tool can be guided by sample images, such as galaxies, taxis and neon lights, that have pre-existing colours users like. The tool was trained on Adobe’s library of imagery, ensuring there are no issues with copyright or trademark problems.

With the help of generative AI, Firefly has the ability to automatically alter the photo or image that a user is working on by creating a paintbrush based on something already present in the image. This new offering from Adobe arrives at a crucial moment for both Adobe and AI. Adobe recently acquired Figma, a design tool, for $20 billion and plans to incorporate features from other products into Figma.

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The Impact of AI on the Future of Work: 30 Jobs at Risk

ai replace jobs
Artificial Intelligence (AI) and automation continue to make significant strides in the way we live and work. As these technologies become increasingly integrated into our daily lives, it’s essential to consider their potential impact on the job market. In this article, we’ll explore 30 jobs that are at risk of being replaced or significantly impacted by AI and automation. It’s important to remember that while these technologies might lead to a decline in demand for some jobs, they could also create new opportunities and enhance existing roles.

The Decline of Traditional Retail Jobs

The retail industry is undergoing a significant transformation driven by the rise of online shopping and in-store automation. Cashiers, retail salespersons, and fast food workers are among the jobs most threatened by these technological advancements. Self-checkout machines, contactless payments, and automated food preparation systems are becoming increasingly commonplace, leading to a decreased demand for human labor in these roles.

Banking and Financial Services Jobs under Pressure

Bank tellers, loan officers, and insurance underwriters are facing the prospect of being replaced by AI-driven tools and online services. Online banking, ATMs, and AI-powered risk assessment algorithms can handle tasks more efficiently and accurately, reducing the need for human intervention in these roles.

The Automation of Manufacturing and Warehousing Jobs

Assembly line workers, warehouse workers, and manufacturing inspectors are among those most affected by the rise of automation in the manufacturing and logistics sectors. Robots and automated systems are now capable of performing repetitive tasks with greater precision and efficiency, which could lead to a decline in demand for human labor in these areas.

The Transportation Industry at a Crossroads

Taxi and rideshare drivers could face job displacement as autonomous vehicles become more widespread. Although this transition may take time, it’s essential to consider the potential implications for the millions of people employed in these roles.

The Evolution of Service Roles

Customer service representatives, travel agents, and paralegals are among the service roles that could be impacted by AI-powered chatbots, virtual assistants, and online platforms. These tools can handle customer inquiries, legal research, and travel bookings more efficiently, reducing the need for human workers in these positions.

Data-Driven Jobs Facing Automation

Data entry clerks, bookkeepers, and medical transcriptionists are facing the prospect of being replaced by AI algorithms and speech recognition software. These technologies can process and analyze large amounts of data quickly and accurately, making human intervention in these roles less necessary.

The Future of Creative and Intellectual Jobs

Journalists, radiologists, and librarians are among the jobs that could be impacted by AI’s growing capabilities in generating content, analyzing medical imaging, and organizing information. While it’s unlikely that these roles will be entirely replaced, AI could significantly change the way professionals in these fields work.


AI and automation have the potential to reshape the job market and redefine the way we work. While some jobs may face a decline in demand, it’s important to recognize that these technologies could also create new opportunities and enhance existing roles. Workers in the fields most affected by AI should consider upskilling, reskilling, or transitioning into roles that complement these emerging technologies. As we adapt to the evolving job market, embracing lifelong learning and adapting to change will be critical to staying competitive and relevant in the age of AI.

AI and Chatbots in Gaming: Enhancing the Player Experience

ai chatbot

Artificial intelligence (AI) and chatbots are increasingly being integrated into the gaming industry, creating more immersive, interactive, and personalized experiences for players. In this article, we will explore the various ways AI-driven chatbots are transforming gaming experiences and the benefits they bring to both players and developers.

In-Game Assistants and Tutorials

Chatbots can serve as in-game assistants, providing players with guidance, tutorials, and helpful hints when they encounter challenges or need assistance. By understanding natural language inputs, chatbots can offer real-time support and adapt their responses based on the player’s experience level, making the gaming experience more accessible and enjoyable for beginners and experts alike.

Personalized Content Recommendations

AI-driven chatbots can analyze player behavior, preferences, and play styles to offer personalized content recommendations. This can include suggesting new games, downloadable content (DLC), or in-game items that align with the player’s interests. This tailored approach enhances player engagement and encourages them to explore new gaming experiences.

Social Interaction and Multiplayer Communication

Chatbots can facilitate social interaction in multiplayer games by acting as intermediaries between players, helping to coordinate team strategies, and translating messages between players who speak different languages. This can foster a more inclusive and collaborative gaming environment, enhancing the overall multiplayer experience.

Dynamic Storytelling and Immersive World-Building

AI-driven chatbots can be used to create dynamic storytelling experiences, where the narrative evolves based on the player’s choices and actions. Chatbots can interact with players in real-time, providing context-sensitive dialogue, and adapting the game world to reflect the consequences of the player’s decisions. This creates a more immersive and engaging gaming experience that keeps players invested in the story.

Customer Support

Gaming companies can use AI-powered chatbots to provide efficient customer support, addressing players’ questions and concerns regarding game mechanics, account issues, or technical problems. By leveraging natural language processing and machine learning, chatbots can quickly identify and resolve issues, improving the overall customer experience and reducing the burden on human support staff.

Player Retention and Monetization

AI-driven chatbots can be utilized to enhance player retention and monetization strategies. By analyzing player data, chatbots can identify patterns that may indicate disengagement or churn and proactively engage with players to address their concerns or offer incentives to keep them engaged. Additionally, chatbots can facilitate in-game purchases by providing personalized recommendations and streamlining the purchasing process.


The integration of AI and chatbots in gaming is transforming the way players interact with games, offering more engaging, personalized, and immersive experiences. From in-game assistants to dynamic storytelling and customer support, AI-driven chatbots are revolutionizing the gaming industry and paving the way for even more innovative and interactive gaming experiences in the future.

The Rise of AI Voice Generation: How Text-to-Speech Technology is Revolutionizing Audio Content Creation

ai sound

AI voice generation, also known as text-to-speech (TTS) synthesis, has become increasingly popular in recent years. By using artificial intelligence and natural language processing, this technology can convert written text into spoken words that sound like a human speaker. With applications ranging from audio books to video voiceovers and speech assistance for individuals with disabilities, AI voice generation is changing the way we create and consume audio content. In this article, we’ll explore the technology behind AI voice generation, its various applications, and some of the top providers in the market.

The process of AI voice generation typically involves several steps

  1. Text Analysis: The AI system analyzes the input text to identify the appropriate pronunciation of words and phrases based on their context in the sentence.

  2. Phonetic Conversion: The system then maps the phonetic representation of each word or phrase to a set of audio parameters such as pitch, intonation, and tempo.

  3. Voice Synthesis: The audio parameters are then used to generate a synthetic voice that sounds like a human speaker. The quality of the voice generated depends on the complexity of the model used and the amount of data available for training the system.

  4. Post-Processing: Once the voice is generated, post-processing techniques can be applied to improve its quality and naturalness. Techniques such as adding background noise or inflection can enhance the overall quality of the synthesized voice.

several online service providers that offer AI voice generation services

  1. Amazon Polly – Amazon Polly is a cloud-based service that uses deep learning technologies to convert text to lifelike speech. It supports 29 languages and offers a range of voices to choose from.

  2. Google Cloud Text-to-Speech – Google Cloud Text-to-Speech is a service that converts text into natural-sounding speech in over 220 voices across 40+ languages. It also offers advanced speech synthesis capabilities such as audio profiles and voice tuning.

  3. IBM Watson Text to Speech – IBM Watson Text to Speech is a cloud-based service that converts written text into natural-sounding audio in multiple languages and voices. It also offers custom voice creation, allowing users to create their own unique synthetic voice.

  4. Microsoft Azure Text-to-Speech – Microsoft Azure Text-to-Speech is a service that converts text into spoken words in over 200 voices across 50 languages. It offers features such as neural voices and customizable voice styles.

  5. NaturalReader – NaturalReader is an online text-to-speech software that converts written text into spoken words. It offers over 60 voices in multiple languages and supports various document formats such as PDF, Word, and EPUB.

azure ai sound

Future of this Ai. technology

The future of AI voice generation technology is promising, as advancements in machine learning and natural language processing continue to improve the accuracy, naturalness, and flexibility of synthesized voices. Here are some possible directions in which the technology may evolve in the coming years:

  1. More Natural and Personalized Voices: AI voice generation systems may become even more sophisticated in creating natural-sounding and personalized voices that match the speaker’s gender, age, accent, and tone.

  2. Multimodal Outputs: The technology may be able to generate voices that not only speak but also exhibit non-verbal cues such as facial expressions and body language, creating a more immersive experience for the listener.

  3. Improved Multilingual Capabilities: As AI voice generation systems continue to improve, they may be able to generate voices in a wider range of languages, dialects, and accents, further increasing the reach and accessibility of audio content.

  4. Integration with other Technologies: AI voice generation technology may become more integrated with other technologies such as virtual and augmented reality, creating new opportunities for immersive audio experiences.

  5. Ethical Considerations: As AI voice generation technology becomes more widespread, ethical considerations surrounding its use may become more important, such as issues of ownership, consent, and potential misuse.

ai sound generate


As with any technology, AI voice generation technology can also be misused, raising concerns about its ethical implications. Here are some potential concerns of misuse:

  1. Misleading Information: AI voice generation technology can be used to generate convincing fake audio recordings, which can be used to spread misleading or false information, defame individuals, or manipulate public opinion.

  2. Privacy and Security: AI voice generation technology can be used to generate synthetic voices that mimic the voice of a real person, which can be used for nefarious purposes such as impersonation, fraud, or blackmail.

  3. Unauthorized Use: AI voice generation technology can be used to create synthetic voices of celebrities or public figures without their permission, raising concerns about privacy and the right to control one’s own voice.

  4. Bias and Discrimination: AI voice generation technology can perpetuate existing biases and discrimination in society, as it may be trained on data that reflects certain biases or excludes certain groups.

  5. Lack of Transparency: As AI voice generation technology becomes more sophisticated, it may become more difficult to distinguish between real and synthetic voices, leading to concerns about transparency and accountability.

These concerns of misuse highlight the need for responsible and ethical use of AI voice generation technology, and for developing appropriate safeguards and regulations to prevent misuse. It is important to consider these concerns as we continue to develop and use this technology in various industries and contexts.

misuse ai

In summary, AI voice generation technology, also known as text-to-speech (TTS) synthesis, uses artificial intelligence and natural language processing to convert written text into spoken words. This technology has a wide range of applications, including creating audio books, adding voiceovers to videos, generating synthetic voices for people with speech disabilities, and providing audio feedback in educational or gaming settings. Some of the top service providers in the market include Amazon Polly, Google Cloud Text-to-Speech, IBM Watson Text to Speech, Microsoft Azure Text-to-Speech, and NaturalReader. The future of this technology looks promising, with advancements in machine learning and natural language processing leading to more natural and personalized voices, improved multilingual capabilities, and integration with other technologies such as virtual and augmented reality. However, there are also concerns about the potential misuse of this technology, such as spreading misleading information or violating privacy and security. Therefore, it is important to consider these concerns and develop appropriate safeguards and regulations to prevent misuse.

First time on DALL-E 2

dalle paint generate art graphic

DALL-E is an artificial intelligence (AI) system developed by OpenAI that can generate high-quality images from textual descriptions. It is named after the surrealist artist Salvador Dalí and the Pixar character WALL-E.

DALL-E uses a combination of deep learning techniques and generative adversarial networks (GANs) to generate images from textual descriptions. The system is trained on a large dataset of text-image pairs, and it learns to map words to pixels in a way that captures the semantics of the input text.

One of the unique features of DALL-E is its ability to generate highly creative and imaginative images that go beyond what is explicitly described in the input text. For example, if given the prompt “a snail made of harp strings,” DALL-E might generate an image of a snail with a shell made of harp strings, or a snail that looks like it is made of harp strings.

DALL-E’s ability to generate highly realistic and detailed images has many potential applications in fields such as graphic design, product visualization, and even art. However, the technology is still in the research stage, and there are many challenges to overcome before it can be widely used in practical applications.

Let's generate Game art

Poki, located in Amsterdam, has a dedicated team of 30 individuals who are dedicated to creating the ultimate online gaming platform. Their aim is to offer an inclusive, free-to-use experience for all players. To learn more about their vision and the platform they are building, please visit their company page. If you are a game developer seeking success for your web-based game, find out what Poki has to offer and connect with them through the Poki for Developers program.


Flappy bird like

example dall e art

Roblox style

roblox style
rimpar spapr ai art

Introducing Google Bard, a new AI chatbot with advanced intelligence that will replace ChatGPT.

Coming up for Google Bard : AI power from Google

google ai bard

The real thing is coming up for Google Bard, a cutting-edge AI chatbot dubbed by many in the media as a formidable competitor to the Microsoft-funded ChatGPT Open AI. Available in the coming weeks. But didn’t say which day.

Google's Language

Bard utilizes Google’s Language Model for Dialogue Applications Version 2 (LaMDA 2), which will be initially tested on search engines. LaMDA 2 simplifies the process of gathering and filtering information from multiple sources, providing users with a comprehensive understanding of their search query before they need to explore additional websites.

Introducing Bard

It’s an exhilarating time for technology development as we convert innovative research into products that genuinely benefit people. This is the path we have taken with our large language models. Two years ago, we introduced advanced language and conversational capabilities powered by our Language Model for Dialogue Applications (LaMDA).
We have developed an experimental conversational AI service, driven by LaMDA, called Bard. Today, we are taking another step forward by making it accessible to a select group of trusted testers before its widespread release in the coming weeks.

Bard aims to combine the extensive knowledge of the world with the intelligence, power, and creativity of our large language models. It leverages information from the web to deliver new, high-quality responses. Bard can be a source of inspiration, a starting point for exploration, helping you to explain new discoveries from NASA’s James Webb Space Telescope to a 9-year-old, or learn about the top strikers in football and get drills to improve your skills.

NASA's James Webb Space Telescope to a 9-year-old

Incorporating AI into everyday products for improved functionality

We have a rich history of using AI to enhance Search for billions of users. BERT, one of our initial Transformer models, was groundbreaking in comprehending the complexities of human language. Two years ago, we introduced MUM, which is 1,000 times more powerful than BERT and has advanced, multi-lingual information understanding capabilities, such as identifying key moments in videos and providing essential information, including emergency support, in various languages.

Our latest AI technologies, including LaMDA, PaLM, Imagen and MusicLM, are building upon this foundation, creating new and innovative ways to interact with information, from language, images, to video and audio. We are working to integrate these cutting-edge AI advancements into our products, starting with Search.

One of the most exciting possibilities is how AI can enhance our understanding of information and transform it into useful knowledge more efficiently, making it easier for people to get to the core of what they are searching for and accomplish their goals. When people think of Google, they often think of turning to us for quick factual answers, such as “how many keys does a piano have?” However, people are increasingly turning to Google for deeper insights and understanding, such as “is the piano or guitar easier to learn and how much practice does each require?” Learning about a topic like this can require significant effort to determine what you really need to know, and people often want to explore diverse opinions and perspectives.


AI will be beneficial in streamlining information for questions that don’t have a definite answer. You’ll soon experience AI-powered features in Google Search that will simplify complex information and multiple viewpoints into easy-to-comprehend formats, enabling you to quickly grasp the overall picture and learn more from the web. This includes exploring diverse perspectives, such as personal blogs from individuals who play both the piano and guitar, or delving deeper into a related subject, like the steps for starting as a beginner. These innovative AI capabilities will soon be introduced on Google Search.

Make money from ChatGPT

Make money from ChatGPT

make money from Chatgpt
One way to make money with a chatbot model like ChatGPT is to provide conversational services for businesses. This can include customer service, virtual assistants, lead generation, and more. You can offer these services to businesses and charge a fee for your services. Additionally, you can develop and sell custom chatbot applications that are powered by the ChatGPT model to individuals or businesses. Another option could be to train a specific version of the model for a particular task and sell it as a service or license it to others.

First generate business plan

Here’s a basic business plan table for a chatbot services company using the ChatGPT model:

Market OpportunityHigh demand for chatbot services in various industries, including customer service, lead generation, and virtual assistance.
Target MarketSmall to medium-sized businesses in various industries.
Value PropositionHigh-quality chatbot services powered by the advanced ChatGPT model, offering improved accuracy and efficiency compared to traditional chatbots.
Revenue ModelCharge clients a monthly fee for access to chatbot services, as well as custom development and training services for specific applications.
Marketing StrategyUtilize digital marketing channels such as search engine optimization, content marketing, and social media advertising to reach target businesses. Attend industry events and network with potential clients to generate leads.
Competitive AdvantageExperience in training and deploying the ChatGPT model for various applications, as well as offering customized services for clients based on their specific needs.
TeamAssemble a team with experience in chatbot development, machine learning, and business development to effectively execute on the business plan.
Financial ProjectionsCreate realistic financial projections based on market demand and target revenue.

adding game business model to it

Here’s a basic business plan table for a game development company that uses the ChatGPT model:

Market OpportunityHigh demand for innovative and immersive gaming experiences.
Target MarketGamers of all ages and interests.
Value PropositionUnique gaming experiences powered by the advanced ChatGPT model, offering improved artificial intelligence and conversational capabilities in games.
Revenue ModelSell games directly to consumers or through digital distribution platforms, as well as offering in-game purchases and subscription services.
Marketing StrategyUtilize social media, influencer marketing, and video content to reach target audiences and generate excitement for new games. Attend gaming events and partner with gaming media outlets to gain additional exposure.
Competitive AdvantageExperience in using the ChatGPT model for game development, as well as offering cutting-edge and engaging gaming experiences that set us apart from the competition.
TeamAssemble a team with experience in game development, artificial intelligence, and marketing to effectively execute on the business plan.
Financial ProjectionsCreate realistic financial projections based on market demand and target revenue, taking into account development costs, marketing expenses, and ongoing expenses.