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Microsoft Copilot Enters 2024 with GPT-4 Turbo, DALL-E 3 & More

Microsoft Upgrades Copilot with GPT-4 Turbo, DALL-E 3 and More Features

In a groundbreaking move, Microsoft has supercharged its AI assistant, Copilot, with a suite of powerful new features that are set to revolutionize the way we interact with technology. As Copilot turns one, Microsoft celebrated its one-year anniversary by announcing several powerful new features. The integration of GPT-4 Turbo, DALL-E 3 and more features marks a new chapter in Copilot’s story, one where language and visual comprehension take a giant leap forward. 

These features are not just improvements but transformative elements that will elevate users’ experience to new heights, offering smarter assistance, more creative possibilities, and a more intuitive interface. These upgrades aim to improve users’ productivity and creativity.

Microsoft is Celebrating One Year Anniversary of its AI Assistant Copilot

Let’s have a look at these exciting features in this article!

Table of Contents

Microsoft Supercharging its AI Assistant Copilot with Incredible Upgrades 

Key upgrades include integrating OpenAI’s latest GPT-4 Turbo language model, an upgraded DALL-E 3 image creation model, multi-modal search to improve comprehension, a code interpreter to tackle complex coding and math tasks, Deep Search to deliver better search results and abilities like video understanding and question answering. These updates are all about making your workday easier and letting your creativity flow. 

Here’s more details about these exciting upgrades:

1. Revolutionary GPT-4 Turbo Model Integration

One major upgrade coming soon is integrating OpenAI’s natural language model, GPT-4 Turbo. GPT-4 Turbo is the latest generative model from OpenAI, boasting a 128k context window and a knowledge cutoff of April 2023. It’s designed to be more capable, efficient, and cost-effective, offering a 3X reduction in input token costs and a 2X reduction in output token costs compared to its predecessor.

During testing, GPT-4 Turbo has shown it can analyze complex prompts, write long-form text, generate code and more at an unmatched depth. This enhancement means that Copilot can now understand and generate text with a depth and breadth that was previously unattainable.

Integrating it with Copilot will enable the ability to tackle more multi-faceted tasks across documents, data analysis, software development, and other areas. Rather than simple queries, users can describe complex goals and desired outcomes for Copilot to translate into responses. This greatly expands Microsoft Copilot’s capabilities.

| Also Read: GPT-4 Turbo vs GPT-4: What Is OpenAI GPT-4 Turbo?

2. Upgraded DALL-E 3 Model Brings More Realistic Images

Additionally, Microsoft announced its integration with a new DALL-E 3 model, making the AI image generation smoother. The new DALL-E 3 version creates more advanced and accurate photographic images. Compared to old versions, images match descriptions better, have higher resolution, and keep a consistent style with many images.

Tests show DALL-E 3’s impressive refinements. When prompted to create a “photorealistic stegosaurus in a nail salon”, it illustrated this scene in alarmingly lifelike detail.

New Dall-E Model vs. Previous Dall-E model

The improved abilities stretch creative boundaries for documents, digital art, presentations, and any image needs. You can try it by going to bing.com/create or asking Copilot to generate an image.

Another groundbreaking upgrade leverages Copilot’s strengthened intelligence to significantly improve search relevance across text, images and video, dubbed Multi-Modal Search. It combines natural language prowess, descriptive text generation, and immense data foundation.

Examples show that a multi-modal search precisely satisfies complex queries by analyzing relationships between modalities. When analyzing an image of the Space Shuttle Atlantis, it provided the exact shuttle name and 1993 launch date without broader context, showcasing granular visual analysis abilities that will accelerate research, planning and strategic initiatives.

Microsoft Copilot Multimodality

4. Code Interpreter Makes Coding Easier

Microsoft also announced Code Interpreter to make software creation simpler for all users. People can describe what they want their program to do in normal language. Then, the Code Interpreter handles the technical details like data organization, algorithms, and code syntax automatically.

In demos, Microsoft Copilot wrote hundreds of lines of working Python code to make an application behave exactly as described, without any human coding. It can even upload and download necessary data to connect user information with Bing search results for context.

Copilot's Code Interpreter Makes Coding Easier

The Code Interpreter did very well in initial testing. When launched, it aims to save countless hours of development work. It will empower anyone to make custom software just by explaining what they want the software to do.

Finding the most useful information out of endless data is hard for people. So Microsoft made Deep Search, which is powered by GPT-4. It looks closer at search questions to find connections other search engines miss.

In testing, Deep Search gave very good results for complicated topics that most search engines cannot understand well. Even very detailed searches found custom content showing Microsoft Copilot’s step-by-step reasoning.

Microsoft Copilot is Making Search Results Better with Deep Search

Soon, Deep Search may speed up research, planning, and big projects that used to need lots of expertise or luck. By asking itself many versions of questions, Copilot can spot connections past search tools did not see.

6. Inline Text Rewriting in Microsoft Edge

Soon, Microsoft Edge users will be able to utilize Copilot to rewrite text that has been copied from websites. Users will simply be able to select the text that they want to have rewritten, and Copilot will carry out the rewriting for them. This new inline compose feature with a rewrite menu saves time and effort while improving the quality of content. Users will no longer need to rewrite or rephrase content piecemeal manually. Instead, Copilot will handle the rewriting process seamlessly, allowing for rapid revisions.

7. Summarizing Videos and Answering Questions

Microsoft also showed Copilot new abilities to understand details in videos using Edge. For example, it can create short summaries of YouTube videos highlighting key points. The summaries include important images and text quotations.

Microsoft Copilot is Summarizing Videos and Answering Questions

Additionally, people can ask questions about videos using normal language. Tests show Copilot can accurately answer very specific questions on things like who was speaking, what was on slides, and the order in which events happened. This makes Copilot much better at learning from multimedia content while saving users time.

The Road Ahead

After reviewing these major upcoming features, one thing is clear: Microsoft’s steady AI advancements show no signs of slowing. Copilot stands to become more capable than ever heading into 2024 and beyond – further revolutionizing search while amplifying human creativity and productivity by democratizing AI. So, what are you waiting for? Visit copilot.microsoft.com, in Copilot in Bing to get started!

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Research is my hobby and I love to learn new skills. I make sure that every piece of content that you read on this blog is easy to understand and fact checked!

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AI Slop Is Brute Forcing the Internet’s Algorithms for Views

AI Slop Is Brute Forcing the Internet’s Algorithms for Views

Imagine a digital world where fake videos, images, and posts flood your favorite social media platforms like an unstoppable wave. Welcome to the crazy universe of AI Slop – a digital phenomenon that’s completely transforming how we experience the internet. AI Slop is a massive brute-force attack that’s rewriting the rules of online content creation. It’s found a way to trick social media platforms into showing its videos to millions of people. 

Table of Contents

What Exactly Is AI Slop?

AI Slop isn’t your typical online content. It’s a wild, AI-generated flood of videos created with one primary goal: tricking social media algorithms into giving it maximum visibility. No creativity, no real purpose, just pure algorithmic chaos. These videos are generated in seconds or minutes, with some accounts posting multiple times per day across various platforms.

Source: 404 Media

How Does This Digital Trickery Work?

Social media platforms have secret recipes called algorithms that decide what videos and posts you see. Understanding how AI Slop works requires diving into the world of algorithmic manipulation. AI Slop relies on advanced machine learning algorithms that can analyze millions of successful content pieces and generate similar, attention-grabbing material in seconds.

Normally, creating great content takes time. Content creators might spend days or weeks on a single project. But AI Slop creators can generate hundreds of videos in just minutes.

The Brute Force Attack on Internet Algorithms

Remember how, in spy movies, hackers try every possible password combination? AI Slop works almost exactly the same way. Social media platforms have complex recommendation systems designed to keep users glued to their screens. AI Slop has discovered a critical vulnerability: these algorithms care more about engagement than actual content quality.

Instead of trying to break into a computer system, these digital creators are breaking into recommendation systems by flooding platforms with content. By continuously producing content, these AI systems eventually crack the code of what makes algorithms tick. 

A Reporter’s Shocking AI Slop Discovery

Meet Jason Kebler, a reporter for 404 Media who stumbled upon a mind-blowing digital phenomenon. His Instagram feed became a bizarre showcase of AI-generated videos that defy imagination. He explains how such weird AI-generated videos get viewed millions of times!

Kebler’s daily experience became a front-row seat to the AI Slop revolution. His Instagram Reels were packed with strange, often grotesque AI-generated videos that seemed to multiply faster than anyone could comprehend. These weren’t just random clips – they were strategic attempts to hack social media algorithms.

Source: 404 Media

The Economics of AI Slop

Content creators are discovering a shocking truth: quantity now trumps quality in the digital ecosystem. Some claim it’s pointless to spend time creating high-quality videos when AI can do 90% of the work in minutes. They say users can create 8-10 AI-generated videos in just 30 minutes, arguing that platforms like YouTube are “hungry to feed their audience.”

The Disturbing Engagement Mechanism

Here’s the most shocking part of Kebler’s investigation: these AI Slop videos actually work. When users interact with AI Slop even negatively, the algorithm interprets this as a positive signal. Commenting, watching, or even slowly scrolling past an AI Slop video tells the system, “Hey, this content is interesting!”

Platform Perspectives on AI Slop

Major tech companies seem more intrigued than concerned. Surprisingly, platforms like Instagram and TikTok aren’t fighting this trend. Meta’s CEO Mark Zuckerberg has suggested that AI-generated content could create “entirely new categories” of user engagement.

Platforms like Meta are developing AI tools that help advertisers generate multiple ad versions, indicating they see generative AI as an opportunity rather than a threat.

Real-World Implications of AI Slop

Kebler warns of a potential future where AI Slop becomes hyper-personalized. Imagine AI-generated videos about golden retrievers recommended to dog owners or conspiracy theory videos targeting specific belief groups. As AI Slop continues to spread, we’re witnessing a massive transformation of our online information landscape. Human creativity is at serious risk of being completely overshadowed by machine-generated content.

Protecting Yourself in the AI Slop Era

As AI Slop becomes more sophisticated, important questions arise about digital authenticity, creativity, and the future of online content. With AI Slop flooding platforms, distinguishing between real and generated content becomes increasingly challenging. Users might soon struggle to determine what’s authentic.

Digital literacy is becoming crucial. Understanding how AI Slop works can help users navigate this new landscape more intelligently. Look for repetitive content, unnaturally perfect visuals, and videos that seem slightly “off” – these might be telltale signs of AI-generated material.

Wrapping Up

AI Slop isn’t just a trend – it’s a complete transformation of how we create and consume online content. It’s challenging everything we know about creativity, marketing, and technology. The brute force attack on internet algorithms will likely become even more sophisticated.

We’re watching a digital revolution unfold – one bizarre, algorithm-beating video at a time. Buckle up because the internet is about to get a whole lot weirder.

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Picture of Faizan Ali Naqvi
Faizan Ali Naqvi

Research is my hobby and I love to learn new skills. I make sure that every piece of content that you read on this blog is easy to understand and fact checked!

Texas School Uses AI Tutor to Rocket Student Scores to the Top 2% in the Nation

Texas School Uses AI Tutor to Rocket Student Scores to the Top 2% in the Nation

Ever wondered how technology could change the classroom experience? Imagine if students could study for just two hours a day and still rank in the top 2% nationwide. Sounds impossible, right? Well, that’s exactly what’s happening at Alpha School, a private Texas school that has integrated an AI tutor into its curriculum, as reported by Fox News. The results? Students are learning faster and better than ever before.

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How AI Tutor Personalize the Learning Experience

Alpha School, based in Austin, Texas, has taken a bold approach by using an AI tutor to personalize education for each student. Most schools follow a one-size-fits-all approach. But, the power of the AI tutor at Alpha School comes from its ability to adapt to each student’s needs. 

Unlike traditional classrooms, where teachers must pace lessons for an entire group, the AI tutor adjusts difficulty, provides targeted help, and moves at the perfect speed for each individual.

Imagine a student struggling with fractions. The AI tutor might detect the specific misconception, provide extra examples, and offer practice problems at just the right difficulty level. Another student who quickly masters fractions can move ahead without waiting for his classmates.

This personalized approach eliminates the frustration of moving too slowly or too quickly through the material – a common issue in traditional education that the Texas school has solved through AI innovation. This dynamic adjustment means students learn exactly what they need, when they need it. 

Benefits of the AI Tutor Approach for Students

At Alpha School, students spend two hours a day using the AI tutor for academic subjects. The AI tutor at Alpha School doesn’t just help students learn faster – it frees up time for meaningful projects. 

After completing their three-hour academic block, students dive into building real-world skills. They focus on skills like public speaking, financial literacy, and teamwork. This unique structure not only improves test scores but also prepares students for real-world challenges.

Elle Kristine, a junior at Alpha School, has noticed a huge difference compared to traditional schooling. While her friends in conventional schools are swamped with homework, Elle and her classmates have more time to work on passion projects.

She’s currently developing an AI-powered dating coach for teenagers, something most 16-year-olds wouldn’t have time for in a regular school.

The Numbers Speak for Themselves

The impact of the AI tutor is undeniable. Alpha School students are now ranking in the top 2% nationally on standardized tests. That’s not just luck; it’s the power of personalized, AI-driven education. By focusing only on what each student truly needs to learn, the AI system eliminates wasted time and maximizes efficiency.

Are AI Tutors Replacing Teachers?

At Alpha School, AI isn’t replacing teachers; it’s rather transforming their role. The AI tutor handles personalized academic content delivery, freeing teachers to focus on what humans do best: providing emotional support, motivation, and hands-on guidance.

Teachers can spend their time hands-on with students and provide motivational and emotional support. This partnership between AI tutors and human teachers creates a more complete educational experience. 

AI in Education and Learning

Alpha School is proving that AI in education and learning is more than just a trend; it’s the future. With AI-powered tutoring, schools can offer personalized lessons, reduce study time, and still improve academic performance. Alpha School isn’t stopping in Texas. 

With their success, they’re expanding to other states, bringing their AI tutor-powered learning model to more students. Parents are excited about the possibility of giving their children a more personalized, efficient, and stress-free education.

The Future of AI Tutors in Education

Alpha School’s success with AI tutors opens exciting possibilities for education nationwide. As AI technology continues improving, these systems will become even more effective at personalizing learning experiences.

The Texas school model might be adapted for different educational settings, potentially bringing similar benefits to students in public schools, homeschool environments, and learning centres. The core principle of using AI to personalize instruction while freeing human teachers for mentorship could transform how we think about education.

Alpha School’s expansion suggests growing recognition that education needs to evolve – and AI tutors may be a key part of that evolution.

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Faizan Ali Naqvi

Research is my hobby and I love to learn new skills. I make sure that every piece of content that you read on this blog is easy to understand and fact checked!

TextureFlow, The Ultimate ComfyUI Workflow for Stunning AI Texture Morphing

TextureFlow, The Ultimate ComfyUI Workflow for Stunning AI Texture Morphing

Have you ever wanted to transform your static images into mesmerizing animated textures? Or maybe you’ve designed a logo that needs to come alive in your videos? TextureFlow might be exactly what you’re looking for! The team behind eden.art created this incredible AI animation tool and it gives you amazing control over both shape and texture to create eye-catching animations. The best part? It’s completely free and open source!

Table of Contents

What is TextureFlow?

TextureFlow is a powerful ComfyUI workflow that lets you combine any texture with any shape to create stunning morphing animations. It works without requiring any text prompts – just images in, animations out! The tool uses advanced AI models, including AnimateDiff, ControlNet, Stable Diffusion, and IP-adapter, to generate fluid, seamless animations from your static images. Unlike other AI animation tools, TextureFlow gives you precise control over both the textures and shapes in your animations. 

TextureFlow Demo Video

How TextureFlow Works

At its core, TextureFlow uses your input images to drive the visual content of animations. For those familiar with AI image generation, it combines IP-adapter models with AnimateDiff video models – but don’t worry if that sounds complicated! The workflow is surprisingly simple to use:

  • Input one or more “style” images that define the textures
  • Choose a mapping mode to determine how these textures move
  • Optionally add a shape input to control the form of your animation
  • Adjust settings to fine-tune the results
  • Generate your animation

What makes TextureFlow special is that it doesn’t require any text prompts or special tricks. The entire process is driven by the images you provide, making it accessible even if you’re not an AI expert.

Example Animations Produced by TextureFlow

If you want to check out more, eden.art has created a collection of TextureFlow renders that you can browse. Each example includes the settings used to create it, and you can use them as presets for your own projects.

TextureFlow’s Powerful Shape Control

One of TextureFlow’s most impressive features is its shape control capability. While the animations won’t exactly reproduce your style images (they’re more like “artistic content drivers”), this actually allows for greater creative control.

Here’s how to use shape control:

  • Open TextureFlow settings
  • Add a shape input (draw one, upload an image, or upload a video)
  • Adjust the control strength slider to determine how strongly the shape appears
  • Choose style images that complement your shape
TextureFlow, The Ultimate ComfyUI Workflow for Stunning AI Texture Morphing

With this feature, you can create animations that maintain a specific form while displaying dynamic textures. For example, you could animate your company logo with swirling, colorful patterns while ensuring the logo remains clearly visible throughout.

TextureFlow, The Ultimate ComfyUI Workflow for Stunning AI Texture Morphing

Getting Started with TextureFlow

There are two main ways to use TextureFlow:

1. Online

Visit eden.art, sign up and use the TextureFlow tool directly on their website. Upon sign-up, you will be gifted with 20 free credits. You can buy more credits to start generating animations using TextureFlow

TextureFlow, The Ultimate ComfyUI Workflow for Stunning AI Animations

2. Locally (ComfyUI)

If you have your own GPU and know how to run ComfyUI, you can download the TextureFlow workflow and run it completely free on your own computer.

The basic process is incredibly simple. Just upload a style image, hit create, and watch as TextureFlow transforms it into a flowing animation. You can upload multiple style images, and TextureFlow will smoothly morph between them in the final animation.

TextureFlow, The Ultimate ComfyUI Workflow for Stunning AI Animations

Setting Up TextureFlow in ComfyUI: Step-by-Step Guide

If you want to run TextureFlow on your own computer using ComfyUI, here’s how to do it:

Step 1: Install ComfyUI

Make sure you have a compatible GPU (NVIDIA cards work best). Moreover, install Python on your computer if you don’t have it already. Download ComfyUI from GitHub: https://github.com/comfyanonymous/ComfyUI. Follow the installation instructions in the README file to get it running.

Step 2: Install Required Models

TextureFlow needs specific models to work properly:

  1. Download the AnimateDiff model and place it in the ComfyUI models folder
  2. Get the necessary ControlNet models
  3. Install IP-adapter models for texture processing
  4. Make sure you have a Stable Diffusion checkpoint (like SD 1.5)

Step 3: Download TextureFlow Workflow

Download the TextureFlow.JSON file. Save it somewhere you can easily find it.

Step 4: Load TextureFlow in ComfyUI

Start ComfyUI by running the appropriate script for your system. Once the interface loads in your browser, click on “Load” in the top menu. Navigate to where you saved TextureFlow.JSON and select it. The entire workflow will appear on your canvas.

Step 5: Configure Your Inputs

Find the image loader nodes and click on them to load your style images. If using shape control, find the shape input node and load your shape image or video. Adjust the settings nodes to customize your animation:

  • Motion mode
  • Control strength
  • Resolution
  • Generation steps
  • Motion strength
  • Boundary softness

Step 6: Generate Your Animation

Make sure all connections in the workflow are intact. Click the “Queue Prompt” button to start processing. Then, wait for the animation to render (this can take time, depending on your GPU). The final animation will appear in the output panel.

Step 7: Save Your Results

When the animation is complete, right-click on the output and select “Save”. Choose where to save your animation file. For future use, you can also save your modified workflow using the “Save” option in the top menu.

Troubleshooting Tips

  • If you get error messages about missing models, make sure all required models are properly installed
  • Check all connections in the workflow if you’re getting unexpected results
  • For memory issues, try reducing the resolution or number of generation steps
  • Join the ComfyUI community forums if you need more specific help

With these steps, you should be able to run TextureFlow on your own computer and start creating amazing AI animations!

Creating Animated QR Codes with TextureFlow

One of the coolest applications of TextureFlow is making animated QR codes that still work when scanned. Here’s how:

  • Upload your QR code as the shape input
  • Set the shape guidance type to “luminance” (which works best for QR patterns)
  • Add style images that will become the textures in your animation
  • Adjust the control strength to ensure the QR code remains scannable
  • Use the “activate upscale” toggle to test before creating your final version

The result is a dynamic, eye-catching QR code that draws attention while still functioning perfectly when scanned with a phone.

Taking TextureFlow to the Next Level

TextureFlow gets even more powerful when you use videos or GIFs as shape inputs. This allows you to create complex animations where both the shape and texture evolve over time.

To try this:

  • Find or create a short video clip or GIF
  • Upload it as your shape input in TextureFlow
  • Add complementary style images
  • Adjust settings to balance shape control and texture expression
  • Generate your animation

This technique can create mesmerizing results that would be nearly impossible to achieve with traditional animation methods.

Advanced TextureFlow Settings

To get the most out of TextureFlow, try adjusting these advanced settings:

1. AI Strength

Controls how much denoising is applied to the shape input. Typically kept at 1, but reducing to 0.8-0.9 can help preserve some aspects of the input shape.

2. Fit Strategy

Determines how your shape input maps to the output aspect ratio. Options include stretch, fill, crop, and pad.

3. Input Resolution

Even when using the upscale feature, changing the initial rendering resolution affects the complexity of patterns in your animation. Lower resolutions create simpler, more elegant patterns, while higher resolutions add more detail and visual complexity.

4. Generation Steps

Controls how much processing is used. Higher values take longer but can produce better results. Start with 5-8 for testing, then increase for your final version.

5. Motion Strength

Adjusts how dynamic the animation appears. Lower values create smoother, steadier animations, while higher values add more movement and energy.

6. Boundary Softness

Determines how sharp or gradual the transitions are between different texture regions in your animation.

Best Use Cases for TextureFlow

TextureFlow excels at creating abstract, artistic morphing patterns and animations. This makes it perfect for creating:

  • Abstract VJ loops for projection mapping
  • Animated logos for your brand
  • Dynamic QR codes that still work when scanned
  • Mesmerizing animations mapped to specific shapes like buildings or natural formations
  • Creative social media content that stands out

Experience the Magic of TextureFlow Today

TextureFlow represents an exciting new frontier in AI-powered animation, giving creative professionals and hobbyists alike the ability to create stunning, professional-quality animations with minimal effort.

Whether you’re a digital artist looking to expand your toolkit, a marketer seeking eye-catching visual content, or just someone who loves creating cool animations, TextureFlow offers an accessible yet powerful way to bring your static images to life.

Start experimenting with TextureFlow today and discover the endless creative possibilities this innovative ComfyUI workflow has to offer!

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Picture of Faizan Ali Naqvi
Faizan Ali Naqvi

Research is my hobby and I love to learn new skills. I make sure that every piece of content that you read on this blog is easy to understand and fact checked!

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