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More iOS 17.4 beta 3 details revealed (Video)

iOS 17.4 beta 3

Earlier today we heard about the news iOS 17.4 beta 3 software that was released to developers. Apple also released iPadOS 17.4 beta 3, watchOS 10.4 beta 3 and macOS Sonoma 14.4 beta 3 at the same time. We previously saw a video of the new iOS 17.4 beta in action and now we have another one, the latest video is from iDeviceHelp and it gives us more details on Apple’s iOS 17.4.

This update, tipping the scales at about 700 MB, is not just a routine patch but a significant enhancement across the Apple ecosystem. Let’s dive into the details of what this beta version brings to the table.

First off, the transition to a weekly release schedule is a clear signal that Apple is ramping up its development cycle. This move is likely aimed at polishing the final release of iOS 17.4, ensuring that it lands in users’ hands sooner rather than later. For developers and public beta testers, this means more frequent updates, with the latest beta expected to hit devices within 24 hours of its announcement.

But it’s not just iOS getting a facelift; the update spans across iPadOS, macOS, tvOS, VisionOS for the Apple Vision Pro, and watchOS. This coordinated update across platforms indicates a comprehensive enhancement strategy, ensuring a seamless experience for users invested in the Apple ecosystem.

A standout feature in this beta is the Podcasts app’s newfound capability for live transcripts, akin to the lyrics feature in Apple Music. This inclusion is a game-changer for podcast enthusiasts, offering a new splash screen that details the feature, alongside the ability to search within transcripts. It’s a thoughtful addition that enriches the listening experience, allowing users to engage with content in a more interactive manner.

Another tweak worth noting is the adjustment in wallpaper customization. The beta removes the automatic blur effect when applying wallpapers, giving users the autonomy to add this effect manually. It’s a subtle change, but it reflects Apple’s commitment to offering a more personalized and user-driven interface.

As for the anticipated release date, the final version of iOS 17.4 is expected to make its debut in early March. This estimation is based on the current pace of beta releases, with possibly one more beta followed by a Release Candidate (RC) version towards the end of February. It’s an exciting time for Apple enthusiasts, as the company seems eager to push out the final version to the public.

iOS 17.4 Developer Beta 3 is more than just an incremental update; it’s a significant leap forward, offering enhancements and features that promise to improve user experience significantly. From the accelerated release schedule to the sophisticated updates in the Podcasts app and the nuanced change in wallpaper customization, Apple is setting the stage for an exciting release.

If you’re wondering how these updates will affect your daily use, rest assured that Apple’s focus remains on enhancing functionality and user experience. The move towards more frequent beta releases is a testament to the company’s dedication to delivering polished, feature-rich updates to its users. So, whether you’re a developer, a public beta tester, or an avid Apple follower, there’s plenty to look forward to in the coming weeks.

Source & Image Credit: iDeviceHelp

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RAINBOW 2 Pro frosted translucent wireless gaming controller

RAINBOW 2 Pro frosted translucent wireless gaming controller

BIGBIG WON has just released its RAINBOW 2 Pro wireless gaming controller, an accessory that promises to transform the way you engage with your favorite games. Although this new controller is not just another accessory; it’s a tool that will seamlessly integrate with your gaming setup, whether you’re on a PC, console, or mobile device. With no need to download and install extra drivers, it’s plug-and-play ready to go right out of the box.

The RAINBOW 2 Pro is a dream for those who love to personalize their gaming gear. It comes with an app that lets you tweak the RGB lighting to match your mood or your gaming rig’s aesthetic. But it’s not just about looks; this controller is also about giving you the edge in gameplay. You can remap the buttons on the back and top to fit your playing style, and the dual motor vibration gives you a more immersive experience, making you feel every action.

Wireless and Bluetooth support

When it comes to connecting the controller, you’ve got options. Use the 2.4G wireless dongle for a quick setup, or go with Bluetooth or a USB cable if that’s what you prefer. The controller even has NFC technology for use with the Nintendo Switch, making it a breeze to use with Amiibo and other NFC-enabled features.

RAINBOW 2 Pro games controller features

The RAINBOW 2 Pro is designed for performance. It has a high polling rate for quick response times and a 6-Axis Gyro for precise control. If you’re into fast-paced games, you’ll appreciate the Turbo mode. And no matter how long your gaming sessions last, the ergonomic design will keep your hands comfortable.

Wireless gaming controller

Accuracy is key in gaming, and the RAINBOW 2 Pro delivers with its GYROCON+ technology on PC and a joystick that’s built to avoid dead zones. The hall-effect triggers are made for precise input, which is great for all kinds of games, from shooters to racing games.

You won’t have to worry about running out of juice in the middle of a game, thanks to the controller’s 1000mAh rechargeable battery, which can last up to 15 hours. Plus, the 3.5 mm audio port means you can plug in your headset for both input and output, so you can chat with your friends and get lost in the game’s sound.

The RAINBOW 2 Pro Wireless Gaming Controller is competitively priced, making it accessible for gamers looking for a high-quality controller without breaking the bank. You can find it on Amazon, both in the UK and the US, and there’s even a combo package that includes a charging dock and extra joystick and D-pad caps for those who want a little more.

This controller is all about adaptability and precision. It’s designed to meet the needs of gamers who demand the best from their equipment. Whether you’re a casual player or a hardcore enthusiast, the RAINBOW 2 Pro Wireless Gaming Controller is here to enhance your gaming experience and help you play at your best. So why wait? Dive into a world where your gaming potential is limitless with the RAINBOW 2 Pro.

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The differences between AI Programming vs Traditional Coding

The differences between AI Programming vs Traditional Coding

In the fast-paced world of technology, choosing the right approach for your project is crucial. You might be wondering whether to embrace the capabilities of artificial intelligence (AI) or to stick with the well-established methods of traditional programming. This decision is pivotal and will shape the way you handle data, solve problems, and use computational power.

Artificial intelligence is known for its remarkable ability to learn from data and make decisions autonomously. Unlike traditional programming, which operates on a set of specific rules and logic, AI systems are dynamic. They sort through data, dividing it into training, validation, and test sets, and continuously improve their performance. These systems utilize complex algorithms, such as machine learning and reinforcement learning, to predict outcomes and make decisions that can seem almost human in their intuition.

One of the key strengths of AI is its ability to tackle large data sets and run sophisticated algorithms. This requires significant computational power, often provided by GPUs, which are essential for efficiently managing these tasks. AI excels in areas that are challenging for traditional programming, such as recognizing images and understanding spoken language.

AI Programming vs Traditional Coding

IBM take a closer look and compare artificial intelligence to traditional coding methods providing more insight into the differences between both.

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On the other hand, traditional programming is valued for its predictability and stability. It’s the go-to method for tasks that require consistent and reliable outcomes. While it may not scale as effortlessly as AI, which grows and evolves with new data, traditional programming offers a level of determinism that AI can sometimes lack. This can be particularly important in situations where stability is more important than adaptability.

Control and transparency are other areas where traditional programming has an advantage. It allows developers to fully understand and trace the logic and flow of a program. AI systems, in contrast, can be somewhat mysterious. Their complex algorithms can make it difficult to discern the reasoning behind their decisions, which can be a concern for those who need clarity and accountability, as discussed in what rules AI systems should follow.

The way each approach handles data is also a distinguishing factor. Traditional programming requires data to be structured and can struggle with changes. AI, however, is adept at working with unstructured data, such as natural language, and can adjust to new information without the need for explicit reprogramming, as seen in the concept of AI of Things.

Despite the advancements in AI, traditional programming remains essential. It’s particularly important in applications where predictability and control are paramount. However, AI offers a flexible and dynamic approach that is well-suited for dealing with the abundance of data and complex problems that characterize our modern world, including managing your finances.

As you consider your options, think about the specific needs of your project. Are you looking for the adaptability and learning capabilities of AI, or do you prioritize the stability and clarity that traditional programming provides? The choice you make will not only impact your current work but will also play a role in shaping the future of technological development.

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Chrysler Halycon Concept EV unveiled

Chrysler Halycon Concept

Chrysler has unveiled a new concept electric vehicle, the Chrysler Halycon Concept and it gives us an idea of what the company has planned for its future electric vehicles, their first one is coming in 2025.

Chrysler Halycon Concept

With an 800-volt lithium-sulfur battery at its core, the Chrysler Halcyon Concept has ability to charge at a rate of 40 miles per minute with fast charging technology. However, by utilizing properly equipped roadways and highways featuring Dynamic Wireless Power Transfer Capability, the Chrysler Halcyon Concept leverages inductive charging and is designed to deliver an unlimited range. Currently in development in Detroit, Michigan, this breakthrough charging technology replenishes vehicle energy directly from the road.

Chrysler Halycon Concept

In partnership with a virtual personal assistant feature that senses your approach, second-row Stow ’n Go® Seating will use biometric recognition to adjust to your storage needs. The seats will retract, opening space for your cargo. And when it’s time to stay productive on the road, a workspace will unfold away from the dash so front passengers will be able to work while they travel.

Chrysler Halycon Concept

You can find out more details about the new Chrysler Halycon Concept electric vehicle over at the Chrysler website at the link below, the car certainly looks interesting from the photos.

Source Chrysler, Auto Express

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What’s new in macOS Sonoma 14.4 beta 3

macOS Sonoma 14.4 beta 3

We have a great video from HalfManHalfTech that gives us a look at the new macOS Sonoma 14.4 beta 3. Firstly, the macOS 14.4 Beta 3 is an essential download for developer beta testers, and it’s on the horizon for public beta enthusiasts as well. At approximately 2.39 GB, the size of the update is on par with its predecessors, indicating a balanced approach to introducing new features and ensuring system stability.

  • FaceTime Reimagined: Apple has tweaked FaceTime interactions to enhance user experience during critical meetings. The default setting now turns off FaceTime reactions to prevent accidental triggers, requiring users to manually enable them. This thoughtful change minimizes disruptions and ensures smoother communication.
  • Stability Boost: Addressing the dreaded kernel panics, this update brings much-needed stability improvements. By resolving the issues that caused unexpected restarts and application closures, Apple enhances the reliability of its devices, offering a smoother, more dependable user experience.
  • Media Application Updates: Both Apple TV and Apple Music see notable updates. A fresh splash screen graces Apple TV, and Apple Music’s “Listen Now” tab has been rebranded to “Home,” reflecting a more intuitive user interface. Additionally, these updates hint at better support for Vision Pro’s expansive 180° view, underscoring Apple’s commitment to immersive media experiences.
  • Emojis and Wallpapers: Who doesn’t love new emojis? The update brings a batch of these, alongside adjustments to missing wallpapers, such as the Pro Black wallpaper for M3 MacBook Pros. These changes suggest a continuous effort to personalize and refine the user interface.
  • Podcasts and Siri Enhancements: The Podcasts app gets a minor facelift with a new popup screen that outlines the latest features. Siri also receives improvements, especially in supporting the German language and reading messages in non-default languages, enhancing the versatility of Apple’s virtual assistant.

Apple’s latest beta version of macOS Sonoma 14.4 reflects a dedication to enhancing user experience, system stability, and functionality. By addressing past issues and introducing new features, this update showcases Apple’s ongoing commitment to refining its operating system. Whether you’re a developer eager to test the latest features or a user excited for the next public release, macOS Sonoma 14.4 beta 3 is shaping up to be a significant update that promises to elevate the macOS experience. We are expecting this update to be released in March.

Source & Image Credit: Half Man Half Tech

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Using Microsoft Office Copilot AI to improve your productivity

Using Copilot AI in MS Office apps to improve your productivity

Imagine a digital assistant that not only understands your needs but also enhances your ability to manage documents, presentations, and spreadsheets with ease. Microsoft has introduced such an assistant, the Copilot AI, which is now part of the Microsoft Office suite, including Word, PowerPoint, and Excel. For those who spend their days navigating these applications, the arrival of Copilot AI promises to streamline your workflow and automate the more complex tasks that can consume your time.

At a monthly fee of $20, this digital assistant is not just another add-on; it’s an investment in efficiency. Since its initial release, Microsoft has ironed out the early performance kinks that were noted during beta testing. To take advantage of Copilot AI, users need a Microsoft account and an active subscription. Once you’re up and running, Copilot AI integrates seamlessly into your Microsoft environment, offering AI-powered assistance that aims to make your workday more productive.

Excel aficionados will particularly appreciate the advanced capabilities of Copilot AI. The tool is adept at sifting through data, crafting insightful charts, and simplifying the process of organizing information with its sorting and filtering features. Even the daunting tasks of writing formulas or setting up pivot tables become less intimidating with Copilot AI’s help. This assistance not only saves precious time but also reduces the likelihood of mistakes creeping into your work.

Microsoft Copilot AI in Word, PowerPoint, Excel and More

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It’s important to note, however, that Copilot AI is not without its challenges. When dealing with extremely large datasets or trying to tidy up messy information, the AI may struggle. For optimal performance, your data should be stored in OneDrive, as the AI relies on cloud processing. Users might also experience slower response times, occasionally waiting up to 30 seconds for the AI to complete certain tasks, which could be longer than doing the work manually or using other AI tools.

Despite these hurdles, the introduction of Copilot AI represents a significant step forward for Microsoft’s suite of applications. Its capabilities, especially within Excel, have the potential to significantly boost your productivity. While there’s room for improvement in terms of speed and a wider range of functions, Copilot AI is a noteworthy milestone in the fusion of AI technology with everyday office tasks.

Using Copilot in Microsoft Office

Getting Started with Copilot AI

  • Subscription and Setup: First, ensure you have a Microsoft account and subscribe to Copilot AI. The service costs around $20 per month, offering integration with various Microsoft products. Navigate to your Microsoft account’s subscription section to manage your Copilot subscription.

Copilot AI Assistant in Microsoft Word

  • Writing Assistance: The Copilot AI is akin to having a professional writer by your side. Whether you are drafting a crucial business report, an academic essay, or a simple email, Copilot AI is on hand to help. You can prompt it with a topic or key points, and it will generate well-crafted and relevant text. This feature not only saves time but also ensures your document is coherent and sophisticated.

     

  • Editing and Formatting: Ever wished for an editor to review your work? The Copilot AI can do just that! Request the assistant to fine-tune your document’s tone, style, or readability level. It can make your text more formal, conversational, or even adapt it to a particular audience’s understanding level. Copilot also handles formatting tasks, applying suitable headings, bullet points, and paragraph breaks to enhance your document’s visual appeal and readability.

Microsoft Copilot in Excel

  • Data Analysis and Visualization: Data interpretation has never been easier with Copilot AI. With a simple command, it can analyze your datasets, generate charts, create pivot tables, or even provide insightful interpretations. This functionality makes it easier to understand trends, patterns, and correlations within vast amounts of data.

     

  • Formula Generation: For anyone who has struggled with Excel formulas, the Copilot AI is here to save the day! It can suggest appropriate formulas based on your needs and the data at hand. Whether you’re a novice just starting or an experienced user dealing with complex data sets, the AI assistant can generate formulas that make data manipulation and analysis more straightforward.

     

  • Automated Task Performance: Do repetitive tasks often bog you down? Let Copilot handle them for you! By requesting the AI assistant to perform tasks like filtering specific data points, sorting rows or columns in particular orders, or highlighting pertinent data, you can focus on more strategic aspects of your work.

Creating PowerPoint Presentations with Copilot

  • Presentation Creation: Ask Copilot AI to create presentations on given topics, including structuring content, designing slides, and suggesting visuals.
  • Content Summarization: Use Copilot to summarize lengthy reports or data into concise, presentation-friendly formats.

Organising your emails in Outlook with Copilot AI

  • Email Management: Copilot AI can streamline your email management tasks, saving you precious time and effort. It can draft professional emails for you, summarise long email threads into key points, manage your inbox by prioritizing important messages, and even suggest appropriate responses based on the content of incoming emails.

     

  • Scheduling: Managing a busy calendar can be overwhelming. With Copilot AI, this becomes a breeze. The AI assistant can suggest suitable meeting times, send invites to attendees based on your schedule and preferences, and even help manage any changes or cancellations.

Copilot in Teams, OneNote, and Other Apps

  • Collaboration and Communication: In Teams, Copilot AI serves as an excellent communication aid. It can summarise key points from meetings, draft messages to team members based on your instructions, and help manage tasks by setting reminders or flagging important action items.

     

  • Note-Taking: In OneNote, Copilot AI becomes your personal research assistant. It helps organise notes in a logical manner, research topics thoroughly for you, and even generate ideas for projects or content, making it a great tool for brainstorming and planning.

Best Practices for Using Copilot AI

  • Clear and Specific Prompts: Provide clear and detailed instructions to Copilot AI for more accurate and relevant outputs.
  • Review and Edit Outputs: Always review Copilot’s suggestions for accuracy and relevance, making edits as necessary.
  • Data Privacy: Be mindful of the data shared with Copilot, especially when working with sensitive information.

Limitations and Considerations

  • Data Size and Complexity: Copilot may struggle with very large datasets or highly complex tasks. It’s optimized for tasks that are well-defined and within certain data size limits.
  • Subscription Requirement: Access to Copilot AI requires a subscription, and functionalities are tied to the Microsoft ecosystem.
  • Learning Curve: While Copilot AI aims to be user-friendly, maximizing its potential may require some initial learning and experimentation.

Microsoft Copilot AI is a glimpse into a future where AI assistance is woven into the fabric of our productivity tools. As the technology evolves, we can expect further refinements that will enhance its performance and expand its utility. For now, Copilot AI offers a valuable chance to harness the power of AI, helping us make the most of our data and our time.

Using the Copilot AI assistant is not just about keeping up with the latest tech trends; it’s about embracing a smarter way of working where the focus is on achieving more with less effort. For those interested in exploring the capabilities of Copilot AI in other applications, you can learn how to use Copilot Pro AI with Outlook, or discover how to make an AI assistant using Copilot Studio. Additionally, for a comparison with other AI tools, you might find the Copilot AI vs ChatGPT-4 analysis interesting.

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Perplexity Pro vs Gemini Ultra content creation results compared

Perplexity Pro vs Gemini Ultra content creation results compared

When it comes to crafting content, the tools you use can make a significant difference in the quality and impact of your work. Content creators are often on the lookout for the best language model environments to enhance their writing process. Two notable options in this space we will be comparing are Perplexity Pro vs Gemini Ultra. Both platforms offer a suite of features designed to assist with various aspects of content creation, from managing word counts to optimizing for search engines. This article will compare these two tools to help you determine which might be the best fit for your needs.

Starting with word count management, both Perplexity Pro and Gemini Ultra excel. Perplexity Pro allows you to hit precise word count targets, which is great if you have specific length requirements for your content. On the other hand, Gemini Ultra offers flexible word count settings, giving you the freedom to adjust the length of your content based on what your audience prefers, without compromising on quality.

Longform Articles

For those writing longer articles, sequence prompts can be a lifesaver. Perplexity Pro offers prompts that help structure extensive content, ensuring that all parts flow together logically. Gemini Ultra’s prompts, on the other hand, focus on maintaining coherence throughout your piece, which is especially useful when tackling complex topics or creating detailed guides.

Originality is a key concern for content creators, as unique content stands out and is less likely to be penalized by search engines. Perplexity Pro has a native AI detection system to evaluate the uniqueness of your content, while Gemini Ultra provides similar tools to ensure your work is original. Both platforms play a crucial role in avoiding plagiarism and safeguarding your reputation.

Perplexity Pro vs Gemini Ultra

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Internal linking is another critical feature for content creators, as it not only helps with search engine optimization (SEO) but also improves the reader’s experience by making navigation easier. Perplexity Pro simplifies the process of adding relevant links with its intuitive command system. Gemini Ultra, meanwhile, automates the suggestion of links based on the context of your content, which can be a real time-saver and help maintain the structure of your articles.

Search Engine Optimization

SEO is a major consideration for any content creator, and both platforms offer tools to enhance this aspect of your work. Perplexity Pro integrates LSI keywords and entities effortlessly into your content, while Gemini Ultra focuses on keeping up with the latest search engine algorithms. Using either platform can boost the visibility of your content in search engine results.

The credibility of your content is paramount, and this is where reliable fact-checking tools come into play. Perplexity Pro provides comprehensive features to ensure the accuracy of the information you present. Gemini Ultra’s fact-checking tools are equally robust, helping to maintain the trustworthiness of your articles. Both platforms can be instrumental in preserving the integrity of your content.

AI Image Generation

In today’s digital age, visuals are just as important as text. They can make your content more engaging and help illustrate your points. Both Perplexity Pro and Gemini Ultra come with image generation tools, allowing you to create visuals that are relevant to your content and resonate with your audience.

Summary of features

Here’s a quick summary of the features of both Perplexity Pro vs Gemini Ultra when used for writing content.

Word Count for an Average Article

  • Gemini Ultra appears to generate longer content with less prompting compared to Perplexity Pro. This could indicate Gemini Ultra’s efficiency in producing more verbose output, which might be advantageous for creating longer articles or content with minimal input.

Command Following and Internal Linking

  • Perplexity Pro demonstrated proficiency in embedding links and utilizing anchor text, albeit with some limitations in the quality of anchor text. This suggests a solid understanding of command following and internal linking, crucial for SEO and user navigation.
  • Gemini Ultra, while capable of generating links, showed limitations in incorporating semantically relevant anchor text, which could impact the effectiveness of internal linking strategies from an SEO perspective.

SEO Capabilities

  • In terms of generating LSI (Latent Semantic Indexing) keywords and relevant entities, Gemini Ultra outperformed Perplexity Pro in this experiment, suggesting superior capability in understanding and generating SEO-relevant content. This could be particularly beneficial for content creators focusing on search engine visibility.

Fact-Checking Feature

  • The fact-checking comparison yielded mixed results, with Gemini Ultra providing more accurate information in some instances. However, inconsistencies in verifying certain claims suggest that both platforms could benefit from improvements in this area. The ability to fact-check directly against reliable sources is invaluable for maintaining the credibility of content.

Handling of Sequence Prompts

  • Both Perplexity Pro and Gemini Ultra handled sequence prompts effectively, indicating robustness in generating comprehensive content from complex prompts. This flexibility is crucial for creating detailed articles or reports that cover multiple questions or topics.

Native AI Detection

  • In evaluating the originality of content, Gemini Ultra showed a higher percentage of original content compared to Perplexity Pro. This could indicate better paraphrasing abilities or more creative content generation, reducing the risk of plagiarism.

Image Generation Capabilities

  • Both platforms demonstrated the ability to generate relevant and visually appealing images. This feature is particularly beneficial for enhancing articles, making content more engaging, and supporting visual storytelling.

Choosing between Perplexity Pro vs Gemini Ultra depends on your specific needs and the features that are most important to you. Both platforms offer distinct advantages, from precision in word count to advanced SEO capabilities. By carefully considering what each tool has to offer, you can select the one that aligns best with your content creation goals. Ultimately, the right choice will help ensure that your content not only connects with your audience but also achieves a strong performance in search engine rankings.

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How to use new ChatGPT Memory feature released by OpenAI

How to use new ChatGPT Memory

OpenAI has introduced a new “Memory” feature for ChatGPT, which allows the artificial intelligence (AI) to remember user-provided information across conversations. This update aims to make interactions with ChatGPT more efficient by reducing the need for users to repeat information in future chats.  Users have full control over ChatGPT’s memory, with the ability to instruct the AI to remember or forget information, either conversationally or through settings. The ChatGPT Memory feature is initially being rolled out to a select group of ChatGPT Plus users for testing but it’s hopeful that it will be available to all subscription users very soon.

Currently ChatGPT is capable of concentrating or memorizing everything you saying a single conversation however sometimes even this can go a little astray. Imagine having a conversation with ChatGPT  and it remembers your last chat, knows your preferences, and can continue where you left off without any hiccups. OpenAI has created a new feature for ChatGPT that does just that, marking a significant step forward in the way we interact with artificial intelligence. This “memory” feature, currently available to a select group of ChatGPT Plus users, is set to become a standard part of future AI interactions.

ChatGPT Memory

The memory feature allows users to instruct ChatGPT to retain important details from their conversations. This could include anything from personal preferences to specific tasks that are frequently discussed. The beauty of this feature lies in its ability to streamline conversations, making them more efficient and natural. No longer will users have to repeat themselves each time they start a new chat session. This is not only convenient but also saves a considerable amount of time, whether you’re using ChatGPT for business purposes or personal tasks like taking notes or setting reminders.

OpenAI has taken things a step further by introducing a custom instructions capability. This allows users to provide ChatGPT with specific context that it can remember and use in future interactions. The result is a more relevant and accurate response from the AI, tailored to the user’s needs.

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In the digital age, privacy is a major concern, especially when it comes to AI and data sharing. OpenAI has addressed these concerns by giving users control over what information ChatGPT retains. This ensures that privacy preferences are respected and that users feel secure in their interactions with the AI.

One of the key aspects of this new feature is that each version of the GPT model will have its own separate memory. This means that information shared with one model won’t automatically be transferred to another, allowing for more personalized interactions with each specific GPT model.

ChatGPT-4 Memory User Guide

OpenAI’s ChatGPT Memory feature represents a significant advancement in personalized AI interactions, enabling ChatGPT to remember details from your conversations to make future chats more informative and tailored to your preferences. This guide provides a comprehensive overview of how to effectively use the new ChatGPT Memory feature, ensuring you maximize its benefits while maintaining control over your data privacy.

Getting Started with ChatGPT Memory

  1. Accessing the Feature: Initially, the memory feature is being rolled out to a limited number of users. To check if you have access, log into your ChatGPT account, navigate to settings by clicking on your profile or name, and look for a “Personalization” or “Memory” tab.
  2. Enabling Memory: If you have access, you can activate the memory feature from the “Personalization” tab. Simply toggle the switch to turn it on or off. Remember, this feature is designed to enhance your interaction by remembering past conversations, preferences, and details you share.

Using ChatGPT Memory

  • Explicit Memory Instructions: You can directly tell ChatGPT what to remember. For example, if you’re discussing project preferences or personal likes and dislikes, you can say, “Remember that I prefer email updates for project progress,” and ChatGPT will note this for future conversations.
  • Retrieving Memories: To see what ChatGPT remembers about you, ask, “What do you remember?” ChatGPT will provide a list of items it has stored in its memory related to your conversations.
  • Deleting Memories: If you wish to remove specific details from ChatGPT’s memory, you can instruct it to “Forget that I mentioned [specific detail].” You can also manage and delete memories from the settings under the “Personalization” tab, offering granular control over what is remembered.
  • Disabling Memory Completely: For users concerned about privacy or who prefer not to use this feature, you can turn off the memory function entirely from the “Personalization” settings. This ensures that ChatGPT treats each interaction independently, without retaining information between sessions.

Privacy and Data Management

OpenAI has implemented measures to ensure user privacy and data security with the memory feature:

  • Control Over Your Data: You have full control over what ChatGPT remembers and can delete memories individually or disable the memory feature entirely.
  • Data Usage for Improvement: Information stored in ChatGPT’s memory may be used to enhance the model’s performance. However, you can manage your data sharing preferences through your account settings to limit or opt-out of this.
  • Temporary Chats: For conversations you don’t want remembered or included in model training, ChatGPT offers a “temporary chat” mode, similar to an incognito window in web browsers. This mode ensures the chat won’t be saved or used for future model improvements.

Practical Applications

The ChatGPT Memory feature can be particularly useful in various scenarios, such as:

  • Professional Work: Remembering project details, preferences, and specific instructions to streamline work-related tasks.
  • Personal Use: Recalling personal preferences, important dates, or family details to assist in planning events or personal projects.
  • Education: Keeping track of educational content preferences, learning goals, and progress for more personalized learning experiences.

OpenAI’s introduction of the memory feature to ChatGPT is a clear indication that the future of AI communication is heading towards more sophisticated and personalized experiences. This feature not only offers users more control over the AI’s memory but also respects their time and privacy. As the feature undergoes testing with ChatGPT Plus users, there is a growing sense of excitement for its broader release and the potential it holds for enhancing AI-powered communication.

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Easily build full stack AI apps using Gradient

Easily build full stack AI applications using Gradient

Developers, engineers and AI enthusiasts looking to build full stack applications powered by artificial intelligence, might be interested to know that the development team at Gradient has introduced a new set of tools known as accelerator blocks. Designed to simplify the process of building full stack AI applications these AI tools are perfect for professionals who want to add sophisticated AI features to their work without getting bogged down by the complexity of the development process.

Gradient’s accelerator blocks come in five distinct types, each serving a specific function: Personalization, Sentiment Analysis, Q&A, Document Summarization, and Entity Extraction. This range of options allows developers to select and customize AI capabilities that best fit the requirements of their projects. Instead of starting from scratch, these pre-built blocks can be used as a foundation, saving valuable time and resources.

Gradient accelerator blocks

One of the standout features of Gradient’s platform is its support for retrieval augmented generation (RAG) collections. This advanced feature enhances the performance of large language models by providing them with additional context, which in turn improves their ability to answer questions accurately. The platform’s versatility is evident in its ability to handle various document formats, including text, PDF, CSV, MD, and DOCX. This flexibility ensures that developers can create RAG collections using a wide range of data, which is essential for developing robust AI models.

How to easily build AI apps

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Testing AI models is an essential part of the development cycle, and Gradient has made this step easier with a model testing feature that utilizes your uploaded collections. This functionality enables developers to refine their AI applications, ensuring high performance once they are deployed.

Gradient Accelerator Blocks

When it comes to document summarization, Gradient offers developers the ability to control the length of summaries, catering to different information needs. Developers can also train the AI with example summaries to ensure that the output aligns with their quality expectations.

Gradient’s platform is designed with an intuitive user interface, making it accessible to those who prefer a visual method of working with AI features. For those who are more code-savvy, Gradient provides a programmable interface, allowing developers to interact with the platform’s capabilities through code. This dual approach caters to a wide range of users, regardless of their level of technical expertise.

Simplify your AI development process

The tools provided by Gradient for sentiment analysis, personalization, and entity extraction are not just about creating AI workflows; they are also essential for understanding and engaging with audiences effectively. These tools help developers gain insights into user preferences and behaviors, which can be invaluable for tailoring user experiences and improving customer engagement.

A key element of Gradient’s accelerator blocks is their integration. Designed to work in concert, these blocks enable the creation of sophisticated AI workflows that can tackle a multitude of tasks. This integrated approach streamlines the development process, allowing developers to focus on building complex applications with ease.

Currently, Gradient is offering free access to these potent features. Developers can sign up for an account and start using the accelerator blocks right away, taking advantage of the opportunity to enhance their projects with advanced AI capabilities.

For engineers and developers eager to push the boundaries of AI in their applications, Gradient’s accelerator blocks offer a streamlined path to integrating complex AI workflows. With a comprehensive suite of tools at their disposal, developers can focus on what matters most: innovation and creating value. Whether the task at hand involves customizing user experiences, analyzing sentiments, or summarizing documents, Gradient’s technology equips developers to tackle these challenges with efficiency and precisi

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Stability AI introduces new Stable Cascade AI image generator

Stability AI Stable Cascade AI artwork creator

Stability AI has today launched its latest open source AI image generator in the form of Stable Cascade.  The new AI artwork creator represents a significant leap forward in the ability to create realistic images and text, outpacing previous models such as Stable Diffusion and its larger counterpart, Stable Diffusion XL. What sets Stable Cascade apart is not just its performance but also its efficiency, which is crucial in the fast-paced realm of AI.

Würstchen architecture

The secret behind Stable Cascade’s impressive capabilities lies in its Würstchen architecture. This design choice effectively shrinks the size of the latent space, which is a technical term for the abstract representation of data within the model. By doing so, Stable Cascade can operate faster, reducing the time it takes to generate images, and also cut down on the costs associated with training the AI. Despite these efficiencies, the quality of the images produced remains high. In fact, the model boasts a compression factor of 42, a significant jump from the factor of 8 seen in Stable Diffusion, which is a testament to its enhanced speed and efficiency.

Stage A, Stage B and Stage C

Stable Cascade consists of three models: Stage A, Stage B and Stage C, representing a cascade for generating images, hence the name “Stable Cascade”. Stage A & B are used to compress images, similarly to what the job of the VAE is in Stable Diffusion. However, as mentioned before, with this setup a much higher compression of images can be achieved. Furthermore, Stage C is responsible for generating the small 24 x 24 latents given a text prompt. The following picture shows this visually. Note that Stage A is a VAE and both Stage B & C are diffusion models.

Stable Cascade open source AI image generator

One of the most exciting aspects of Stable Cascade is its open-source nature. The code for this AI image generator is freely available on GitHub, along with helpful scripts for training and using the model. This openness invites a community of developers and AI aficionados to contribute to the model’s development, potentially leading to even more advancements. However, it’s important to note that those looking to use Stable Cascade for commercial purposes will need to navigate licensing requirements.

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For this release, Stability AI are offering two checkpoints for Stage C, two for Stage B and one for Stage A. Stage C comes with a 1 billion and 3.6 billion parameter version, but it’s develop and team highly recommend using the 3.6 billion version, as most work was put into its finetuning.

The two versions for Stage B amount to 700 million and 1.5 billion parameters. Both achieve great results, however the 1.5 billion excels at reconstructing small and fine details. Therefore, you will achieve the best results if you use the larger variant of each. Lastly, Stage A contains 20 million parameters and is fixed due to its small size.

Stable Cascade doesn’t just stop at its core technology; it offers a suite of extensions that can be used to fine-tune its performance. These include a control net, an IP adapter, and an LCM, among others. These tools give users the ability to tailor the model to their specific needs, whether that’s adjusting the style of the generated images or integrating the model with other software.

When compared to other AI models in the market, such as DallE 3 and Mid Journey, Stable Cascade stands out. Its unique combination of features and capabilities positions it as a strong contender in the AI image generation field. This is not just about the technology itself but also about how accessible it is. Stability AI has made Stable Cascade available through various platforms, including the HuggingFace Library and the Pinokio app, which means that a wide range of users, from hobbyists to professionals, can explore and leverage the advanced features of this model.

Commercial Availability

Looking ahead, Stability AI has plans to offer a commercial use license for Stable Cascade. This move will open up new opportunities for businesses and creative professionals to utilize the model’s capabilities for their projects. But before that happens, the company is committed to a thorough period of testing and refinement to ensure the tool meets the high standards required for commercial applications.

The community’s role in the development of Stable Cascade cannot be overstated. Users are not just passive recipients of this technology; they are actively engaged in creating custom content and exploring the model’s possibilities. This collaborative environment is vital for innovation, as it allows for a sharing of ideas and techniques that can push the boundaries of what AI can achieve. Stability AI explain little more about Stable Cascade’s achievements far :

“Moreover, Stable Cascade achieves impressive results, both visually and evaluation wise. According to our evaluation, Stable Cascade performs best in both prompt alignment and aesthetic quality in almost all comparisons. The above picture shows the results from a human evaluation using a mix of parti-prompts (link) and aesthetic prompts. Specifically, Stable Cascade (30 inference steps) was compared against Playground v2 (50 inference steps), SDXL (50 inference steps), SDXL Turbo (1 inference step) and Würstchen v2 (30 inference steps).”

Stability AI’s Stable Cascade is a notable addition to the AI image generation landscape. With its efficient architecture, open-source accessibility, and extensive customization options, it offers a powerful tool for those looking to create realistic images and text. As the community continues to grow and contribute to the model’s evolution, the potential uses for Stable Cascade seem boundless. The excitement surrounding this new AI image generator is a clear indication that the field of artificial intelligence is not just growing—it’s thriving, with innovations that continue to surprise and inspire.

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