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- ChatGPT Voice Mode Delayed
ChatGPT Voice Mode Delayed
PLUS: Major Record Labels Take Legal Action Against AI Music Generators
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Hey There, Human Marvel!
ChatGPT's exciting new Voice Mode is being fine-tuned for an even better user experience. While the initial launch is delayed, here's what you can expect.
Also: Leading music companies sue AI platforms Suno and Udio for alleged copyright infringement, seeking $150,000 per work in damages.
TODAY’S MARVELS
ChatGPT Voice Mode Delayed
Major Record Labels Take Legal Action Against AI Music Generators
Toys "R" Us Brings Back Nostalgia with AI-Generated Brand Film
AI Learning - BEAUTIFUL.ai
Prompt of the day - Text and Image
ChatGPT Voice Mode Delayed
Source: OpenAI
Overview:
Voice Mode would comprehend your tone and emotions and give more natural conversations.
OpenAI has put much emphasis on safety as well as the ultimate experience which resulted in the delay of summer alpha launch with a limited number of people.
It is anticipated that full rollout to all Plus users will be done in fall season.
Key Points:
In an attempt to interact with AI better through voice recognition commands and answers.
Still under development features improve user experience significantly.
A responsible approach to AI development provides for safe and reliable introduction of new products.
Why It Matters: This update takes us one step closer to having AI that you can have an almost human conversation with.
Major Record Labels Take Legal Action Against AI Music Generators
Source: Lexica
Overview: In a significant move, major record labels have filed lawsuits against AI music generators Suno and Udio, accusing them of copyright infringement. The legal action, spearheaded by industry giants like Sony Music Entertainment, Universal Music Group, and Warner Records, alleges that these AI platforms are using copyrighted music to create similar works without authorization.
Highlights:
Lawsuits target Suno AI in Boston and Uncharted Labs (creator of Udio AI) in New York
Claims state that AI software "steals" music to generate similar compositions
Compensation sought amounts to $150,000 per infringed work
Suno operates on a subscription model and has collaborated with Microsoft
Udio gained attention after producer Metro Boomin used it for a viral track
Importance: This legal battle highlights the growing tension between traditional music industry practices and emerging AI technologies. It raises crucial questions about copyright laws in the digital age and the potential impact of AI on human creativity in music production. The outcome of these lawsuits could set important precedents for the future of AI in the music industry and beyond.
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Toys "R" Us Brings Back Nostalgia with AI-Generated Brand Film
Overview: Toys "R" Us is tapping into the power of AI to create a new brand film that evokes feelings of nostalgia for the iconic toy store. The commercial features the founder of Toys "R" Us, Charles Lazarus, and their beloved mascot Geoffrey the Giraffe. This innovative ad campaign highlights the potential of text-to-video AI technology, while sparking conversations about the future of advertising and even potential job displacement in the creative field.
Highlights:
The Toys "R" Us commercial was created using text-to-video AI, a technology that can generate realistic videos from simple text descriptions.
This technique allowed the company to produce the commercial in just a few weeks, significantly faster than traditional methods.
The use of AI in advertising is a growing trend, and Toys "R" Us is at the forefront of this movement.
Importance: The Toys "R" Us ad campaign is a fascinating example of how AI is being used to create new and innovative forms of advertising. This technology has the potential to revolutionize the advertising industry, but it also raises questions about the future of jobs in the creative field.
DAILY AI LEARNING
BEAUTIFUL.ai - GENERATIVE AI PRESENTATION SOFTWARE
To Use:
Log in to Beautiful.ai or create a free account.
Enter your requirements and generate a slide with AI.
You can also set your Custom Branding, Theme if you are premium user or through Free Trial.
Generate Stunning Presentation Slides using AI.
TOOLS
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CREATIVE TEXT PROMPT:
PROMPT FRAMEWORK: PEEP(Point Example Explanation Point)
DOMAIN: Data Science
ROLE: Data Analyst
TASK: Describe the process of data preprocessing in machine learning.
PROMPT:
Point: "Describe the process of data preprocessing in machine learning."
Example: "Provide an example of how missing values are handled during data preprocessing."
Explanation: "Explain the importance of feature scaling in data preprocessing and its impact on model performance."
Point: "Conclude by discussing the significance of data preprocessing for machine learning models."
*Note: Combine and Modify this Prompt Framework According to Your Tasks or Requirements.
PICTURE PERFECT PROMPT for Image Generation:
PROMPT:
a realistic scene, an old home from the 1930's. The background is a planet that is on the edge of collapse. The skies are grey, the trees are barren. it is very depressing. a rocket ship is launching and leaving the earth
IMAGE:
AI TERM TIME - AI Term of the Day
Recurrent Neural Network (RNN):
A recurrent neural network (RNN) is a type of artificial neural network which uses sequential data or time series data. These deep learning algorithms are commonly used for ordinal or temporal problems, such as language translation, natural language processing (nlp), speech recognition, and image captioning; they are incorporated into popular applications such as Siri, voice search, and Google Translate. Like feedforward and convolutional neural networks (CNNs), recurrent neural networks utilize training data to learn. They are distinguished by their “memory” as they take information from prior inputs to influence the current input and output. While traditional deep neural networks assume that inputs and outputs are independent of each other, the output of recurrent neural networks depend on the prior elements within the sequence. While future events would also be helpful in determining the output of a given sequence, unidirectional recurrent neural networks cannot account for these events in their predictions.
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