The Mysterious Comeback of GPT-2
MORE in AI: iPhone Integrates ChatGPT, Secret Behind Rabbit R1, Midjourney's 6 BEST Style References, Generate Cool Image Variations with PixelBin, and Google's Mind-blowing Research.
Welcome to the 19th edition of the PixelBin Newsletter. Every Monday, we send you one article that will help you stay informed about the latest AI developments in Business, Product, and Design.
In Today’s Newsletter
🔥 GPT-2 Comes Back, iPhone Integrates ChatGPT, Secret Behind Rabbit R1, and More in AI
🎨 BEST Illustrative Style References on Midjourney
🚀 Explore the Mind: 6 AI-Enhanced Images of the Human Brain
✨ PixelBin Release: AI Variation Generator v0.0.1
🔥 AI in Fast Lane
GPT-2 Comes Back, iPhone Integrates ChatGPT, Secret Behind Rabbit R1, and More in AI
GPT-2 emerges with improvements: Capabilities surpass latest models. Read More...
Apple nears deal with OpenAI to put ChatGPT on iPhone. Read More...
Users extracted Rabbit R1 as an android app. Launcher available for android phones. Read More...
Google announced “Google Threat Intelligence” with Gemini model. Why?
Apple's M4 chip boasts powerful neural engine for enhanced AI performance. Read More...
🎨 Design Meets AI
BEST Illustrative Style References on Midjourney
Midjourney is on the constant move to provide us with unique design concepts. The last time it gave us a full-fledged platform to explore our imagination and generate results in the easiest way. We have already bidden goodby to discord for now.
What is a Style Reference in Midjourney?
Midjourney has just released their first test algorithms for Consistent Style— a highly anticipated new feature called “Style References”.
This new feature allows you to specify one or more reference images that define the aesthetic you want Midjourney to maintain across your generated images using a code. The --sref codes are like points in latent space that you can point to in order to achieve a certain style.
Syntax: --sref {code}
Using the Alpha Midjourney, here are the 6 illustrative style references that you can use to create your own story boards, comic books, and much more.
[prompt] --ar 3:2 --sref 116437024 --sw 500
[prompt] --ar 3:2 --sref 1174021666 --sw 500
[prompt] --ar 3:2 --sref 4016528959 --sw 500
[prompt] --ar 3:2 --sref 1232732834 --sw 500
[prompt] --ar 3:2 --sref 3658383517 --sw 500
[prompt] --ar 3:2 --sref 440 --sw 500
🚀 Innovations in AI
Explore the Mind: 6 AI-Enhanced Images of the Human Brain
The project that created the detailed images of the human brain using Google's AI technology is a collaboration between Google researchers and Harvard neuroscientists.
This project resulted in the development of an unprecedented view into the human brain, offering insights that could aid in understanding neurological disorders and fundamental brain functions.
Here are the 6 AI-Enhanced Images of the Human Brain:
Detailed Brain Layers: Researchers used AI to create a 3D model of a small part of the human brain, revealing its complex structure with six layers, providing insights into how neurons are organized and connected.
Cell and Synapse Count: A tiny brain tissue sample contained around 50,000 cells and 150 million synapses, the points where neurons communicate. Some neuron pairs were found to be strongly connected through multiple synapses.
Neuron Signaling: The images showed how a single neuron receives signals that determine whether it fires or not, illustrating the intricate network of communication within the brain.
Massive Data Processing: Generating these detailed brain images required a massive amount of data, equivalent to 1.4 petabytes (1.4 million gigabytes), showcasing the immense complexity of even a small brain sample.
Research Collaboration: The project involved a collaboration between Google researchers and Harvard neuroscientists, combining advanced AI tools with brain imaging techniques to create these groundbreaking images.
Future Research: By studying the brain's connections, researchers aim to understand memory formation, neurological disorders like autism and Alzheimer's, and unlock more mysteries of how the brain functions, paving the way for future discoveries in neuroscience.
How did Google's AI help in creating the images of the human brain?
Google's AI played a crucial role in creating the detailed images of the human brain. The AI technology assisted in reconstructing nearly every cell and connection within a small volume of human brain tissue, providing a groundbreaking view into the brain's structure. To read more click here.
What are the benefits of using AI to study the human brain?
Ability to study phenomena that are difficult in real brains
Developing more efficient AI systems
Gaining a better understanding of the human brain
Enabling interactive 3D brain models
Enabling large-scale brain mapping
✨ The Latest PixelBin Release
AI Design Variation Generator
With this latest PixelBin product update, you can now generate multiple variations of a single reference design or image, effortlessly guided by a text prompt.
It aims to revolutionize the fashion design process that not only speeds up creation but also preserves the essence and creativity of your original concept.
Whether you are looking to explore different color schemes, textures, or patterns, PixelBin makes it simple and efficient, ensuring you stay true to your artistic vision while pushing creative boundaries.
Excited to try on this feature? Explore this release by visiting PixelBin and share your creations by tagging PixelBin on our social channels.
⚙️ Tools to Supercharge Your Productivity
Top 4 Trending AI Tools
Eraser AI - Technical design copilot that helps users edit documents and generate diagrams easily
Snaplet Seed - Cease manual data creation, get instant realistic data for your project
Aria Browser AI - Opera’s browser AI can now create images and read out text responses
SynthFlow - AI voice agents are going to change the customer support industry forever.