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The excellent and customizable Arc Browser is now fully available on Windows

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The popular Arc Browser has been wowing macOS and iOS users for years, and now it’s . The Windows version of The Browser Company’s software . The only caveat? The web browser is only available for Windows 11, though a Windows 10 version is on the way.

While a direct competitor to browsers like Chrome and Edge, Arc is actually quite unique. It features a collapsible sidebar with vertical tabs and bookmarks, so there are no tabs up top. This gives users a clean view of the actual website they’re visiting, without any unnecessary clutter. It also lets people build spaces to keep things organized, which kind of works like folders on a desktop. Looking for recipes and applying for jobs at the same time? Just dump tabs and research from the former into one space and the latter into another space.

The Peek feature lets users preview a link before opening it and Little Arc opens up a lightweight browser window for viewing something quickly and with minimal memory usage. There’s a bit of a learning curve with Arc, given we’ve been using browsers in the same exact way for decades, but that’s been worth it for many users.

It’s also ultra-customizable, making for the kind of personalized experience that isn’t available with rival browsers. Arc actually lets users customize the look of any website they visit, so people can take their aggression out on Engadget by turning the site neon green or changing the font to something hideous. Folks can even highlight entire sections and delete them from view. As an added bonus, Chrome plugins work with Arc, making for an easy migration.

A neon green Engadget.A neon green Engadget.

Engadget / Nathan Ingraham

Another big thing here is Swift integration. Arc actually runs on Swift, which is a programming language created by Apple for building apps for iOS, Mac, Apple TV and Apple Watch. So by bringing Arc to Windows, the Browser Company is also bringing Swift to Windows for the first time.

This means that third parties will, eventually, be able to build Windows applications using Swift. This programming language is than, say, Python and the like. The company’s been working on bringing Swift to Windows computers for six years, with calling it “an effort of love.”

The Browser Company promises this is just the beginning of Arc on Windows. It says there will be regular performance improvements and new features “dropping in the coming weeks and months.” In the meantime, the browser’s free if people want to give it a looksie.

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OpenAI developing fully autonomous robot

OpenAI developing fully autonomous robot

In a bold move that’s capturing the attention of tech industry, OpenAI has teamed up with Figure, a leader in humanoid robot manufacturing. The companies goal is to push the boundaries of what’s possible in robotics by enhancing the intelligence of these machines and creating a fully autonomous robot  powered by artificial intelligence (AI). This collaboration is poised to make significant strides in the way humanoid robots understand and use language, as well as how they reason and solve problems.

OpenAI is known for its cutting-edge work in artificial intelligence, and its recent advancements, such as GPT-4, have been making waves in the tech world. Figure, on the other hand, has been making its mark in the robotics industry, as seen through its partnership with automotive giant BMW. Together, they’re setting out to make a major impact on the market for humanoid robots.

Figure 01 robot specifications

The promise of this partnership is to create robots that can communicate with a level of nuance and sophistication that mirrors human interaction. The integration of OpenAI’s AI research with Figure’s robotic technology is expected to result in robots that can understand complex instructions and engage in advanced reasoning. This is particularly important as the demand grows for robots that can perform a wide range of tasks, from providing customer service to tackling complex problems in various industries.

OpenAI AGI Autonomous Robot

The partnership has been met with enthusiasm from the industry, with many anticipating that OpenAI’s AI models will significantly enhance the capabilities of Figure’s robots. This synergy is expected to lead to major advancements in what humanoid robots can do, potentially affecting the broader robotics and AI markets. TheAIGRID investigates in more detail what these new investments being made by OpenAI in humanoid robotics will mean for the development of AI powered robots and our future.

Here are some other articles you may find of interest on the subject of humanoid robots and artificial intelligence :

OpenAI & Figure Robotics

The competition in the humanoid robotics field is fierce. Big names like Tesla are also in the race with their own humanoid robot, Optimus. However, the collaboration between OpenAI and Figure could place them at the forefront of the industry, especially in the development of artificial general intelligence (AGI) for humanoid robots.

“With the first humanoid by our side in the workforce, we’ll have the ability to create and produce so much more, address drastic labor shortages, and reduce the number of workers in unsafe jobs. We’ve designed our world for the human form. Hands allow us to open doors and use tools; arms and legs allow us to move efficiently, climb stairs, lift boxes, and more. Figure 01 brings together the dexterity of the human form and cutting edge AI to go beyond single-function robots and lend support across manufacturing, logistics, warehousing, and retail.” – Figure AI

AGI robots

Looking to the future, the development of AGI in humanoid robots is a topic of much debate and anticipation. The partnership between OpenAI and Figure is seen as a crucial step toward creating AI systems that could one day give robots a level of intelligence and autonomy that rivals human abilities. As this collaboration progresses, those following the industry are eagerly awaiting updates that could reshape the world of robotics and AI. The potential for innovative AI systems to emerge from this partnership is substantial, with implications that could extend far beyond the current market.

The alliance between OpenAI and Figure marks a significant moment in the evolution of AI and robotics. Their joint efforts are expected to result in humanoid robots with exceptional language and reasoning abilities. With the competition heating up, this partnership could very well dictate the pace for the future of the humanoid robotics market. The tech community is watching closely for further developments that will surely influence the industry on a grand scale.

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Mistral-NEXT new open-source model fully tested

Mistral-NEXT new open-source model fully tested

Unfortunately we might be coming to the end of the line for open source AI models from Mistral AI after the company quietly released their latest Mistral Large and speculations  that perhaps they would be moving from an open source release system. Mistral AI has made a name for itself by creating open-source AI models such as Mistral and Mixtral. The latest Mistral-NEXT model was discovered despite no official announcement and its capabilities have now been tested against various tasks, including coding, logic and reasoning, and content generation.

This new AI large language model has caught the attention of many due to its impressive abilities in a range of tasks. It’s the latest in a series of open-source AI models that have been making waves in the tech world.  Starting with the basics, Mistral-NEXT has shown that it can handle simple computational tasks with ease. This means it can be a reliable tool for performing basic operations, which is great news for those looking for a dependable AI to assist with straightforward calculations.

However, when it comes to more complex tasks like coding, the model’s performance is mixed. For instance, it can write a Python script for a game, but the code isn’t perfect. It understands the language and the mechanics of the game, but to get the best results, a human touch is needed to refine the work. The model’s ability to solve problems using logic and reasoning is one of its standout features. It can work through a variety of challenges accurately, showing that it has a strong foundation for tackling these kinds of tasks.

Mistral-NEXT performance tested

Content generation is another area where Mistral-NEXT has proven itself to be capable. However, it’s important to note that when creating content, especially if it’s sensitive or needs to be in a specific format like JSON, human oversight is still necessary to ensure the output is of high quality and appropriate.

Here are some other articles you may find of interest on the subject of Mistral AI :

When we compare Mistral-NEXT to the more advanced GPT-4, it holds its own, particularly in logic and reasoning. But there are areas where GPT-4 might have the upper hand, possibly because it has been trained on a larger dataset or uses more complex algorithms. This comparison is important as it helps us understand where Mistral-NEXT stands in the current AI landscape and what it might achieve in the future.

The AI community is watching closely to see if Mistral-NEXT will be made available as an open-source model on platforms like Hugging Face. The decision to open-source a model like this can have a big impact. It can lead to wider adoption and improvements as the community gets involved, contributing to the model’s development and enhancing its capabilities through collaboration.

The Mistral-NEXT model has shown a lot of promise in its performance tests. It’s particularly adept at logic and reasoning tasks. However, there’s still room for it to grow and improve, especially when compared to more advanced models like GPT-4. The AI field is looking forward to seeing what the future holds for Mistral-NEXT. If it becomes open-source, it could lead to a wave of collaborative innovation and significant progress in the field of artificial intelligence.

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How to combine and fully automate custom GPT AI models

How to automate and combine different custom GPT

With the launch of the highly anticipated OpenAI custom GPT store happening later this month you might be wondering how you can fully automate these custom AI models. Removing the need for you to sit in front of your computer and manually type in actions to each custom GPT manually. Luckily there are plenty of automation platforms already available such as Make, Zapier and others that allow you to easily create autonomous workflows without the need to know anything about coding. Simply connect different applications and custom GPT models together to create your perfect activity workflow removing the mundane tasks from your life. Allowing you to concentrate on the more important aspects.

Imagine a world where your daily tasks are handled automatically, where your productivity soars as repetitive work is done without your constant attention. This is the promise of integrating a custom Generative Pre-trained Transformer (GPT) with Zapier, a powerful tool that can take your workflow to new heights of efficiency. This article will guide you through the steps to make this integration a reality, turning your custom GPT into an indispensable ally in your work routine.

In today’s fast-paced work environment, the ability to streamline operations and reduce manual labor is more important than ever. A custom GPT, also known as your “Script Assistant,” can be the answer to this need. By automating routine tasks, you can minimize errors and free up time to concentrate on more strategic work that requires your unique expertise.

Automate custom GPT AI models

To begin, you’ll need to develop a custom GPT tailored to your specific needs. This involves programming it with the knowledge and commands that are relevant to your tasks. Once you have your custom GPT ready, the next step is to integrate it with Zapier, a versatile platform that connects over 6,000 apps, allowing for a wide range of automation possibilities.

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Zapier acts as the hub of your automation setup. It’s the bridge that connects your custom GPTs with other applications you use daily, such as Google Docs and email services. This connectivity is what turns your “Script Assistant” into a dynamic force that can handle tasks with precision and speed.

Setting up automations in Zapier is a straightforward process. For example, you can automate the transfer of data from your custom GPT to Google Docs. This ensures that scripts and documents are organized and stored systematically. Additionally, you can set up notifications to keep your team informed when new content is generated, ready for review, or published.

However, it’s not enough to just set up these automations. You must ensure they work as intended. Testing your setup is a critical step to confirm that your custom GPT and Zapier actions are functioning together harmoniously. While these tools are powerful, they may still encounter issues, especially since they could be in development stages. But don’t worry, there’s a robust community of users and experts ready to help you troubleshoot any problems that arise.

By integrating a custom GPT with Zapier, you’re not just automating tasks; you’re reshaping the way you work. This integration allows you to create a “Script Assistant,” link it with essential apps, and set up automations that enhance your workflow. With this system in place, you’re well-equipped to tackle the challenges of automation and stay ahead in a competitive landscape.

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MONTEK 2000W rugged fully waterproof power station series

MONTEK 2000W rugged power station series

The MONTEK X2000 and X1200 portable power stations are innovative solutions designed to meet the power needs of modern families and adventurers alike. These systems combine adaptability, green energy capabilities, and a unique design that allows for multiple devices to be charged simultaneously, making them a versatile choice for various power needs.

At the heart of these systems are the 2000 watt sine wave inverters. These inverters, found in both the X2000 and X1200 models, provide a high-quality, stable power output. This is particularly important when powering sensitive electronic devices, as the pure sine wave output mimics the power supply from a traditional electrical grid, reducing the risk of damage to these devices.

Early bird packages are now available for the modern project from roughly $697 or £592 (depending on current exchange rates), offering a considerable discount of approximately 42% off the retail market price, while the Indiegogo crowd funding is under way.

MONTEK power station features

Both the X2000 and X1200 models offer the potential for system expansion by adding up to three external batteries. The X2000, equipped with a 2072Wh NCM pouch battery with 1500 cycles, can have its capacity increased to a whopping 8288Wh with the addition of three B2000 batteries. On the other hand, the X1200, which uses a 1280Wh LFP pouch battery with 2500 cycles, can be expanded to a total system size of 5120Wh with three B1200 batteries. This scalability allows users to tailor the system to their specific power needs.

Portable power station

The MONTEK X2000 and X1200 also excel in terms of device compatibility. With multiple AC and DC output ports, these units can power multiple devices simultaneously. This feature is particularly useful in situations where multiple devices need to be powered or charged, such as during camping trips or power outages.

The B2000 and B1200 add-on batteries deserve special mention. Not only can they be used to expand the capacity of the main units, but they also have standalone capabilities. They have the same solar charging ability as the main units, allowing them to be used independently to power DC devices directly.

If the MONTEK 2000W campaign successfully raises its required pledge goal and manufacturing progresses smoothly, worldwide shipping is expected to take place sometime around May 2024. To learn more about the MONTEK 2000W power station project scrutinize the promotional video below.

Rugged design

One of the key selling points of the MONTEK X2000 and X1200 series is their ability to provide power supply continuity during power outages. This feature ensures that critical devices like TVs, air conditioners, refrigerators, laptops, and cell phones remain operational when the main power supply is disrupted.

For US users, the MONTEK X2000 and X1200 offer an additional advantage. Two units can be connected together to provide a 240V 4000W AC output. This high power output is sufficient to power heavy-duty devices, making these units a reliable power solution for a wide range of applications.

Despite their robust capabilities, the MONTEK X2000 and X1200 maintain a high level of portability. Their portable, suitcase-style design makes them easy to transport for outdoor, road, and marine use. This feature, combined with their green energy capabilities, makes these units a convenient and eco-friendly power solution for various outdoor activities.

The MONTEK X2000 and X1200 portable solar power systems offer a unique blend of adaptability, power output, and portability. Whether it’s for home use, outdoor adventures, or emergency power backup, these units are designed to meet a wide range of power needs. Their ability to power multiple devices simultaneously, coupled with their expandable capacity and high cycle life, make them a reliable and versatile power solution.

For a complete list of all available project pledges, stretch goals, extra media and specifications for the power station, jump over to the official MONTEK 2000W crowd funding campaign page by navigating to the link below.

Source : Indiegogo

Disclaimer: Participating in Kickstarter campaigns involves inherent risks. While many projects successfully meet their goals, others may fail to deliver due to numerous challenges. Always conduct thorough research and exercise caution when pledging your hard-earned money.

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Let AI fully control your PC to complete tasks autonomously

Self-Operating Computer Framework let's AI control your PC autonomously

The idea of a computer that is capable of thinking and acting on its own is no longer a distant dream. thanks to this unique demonstration created using ChatGPT vision. Artificial intelligence (AI) has brought us to the brink of a new era where machines can perform tasks without human intervention.

Self-Operating Computer Framework – A framework to enable multimodal models to operate a computer. Using the same inputs and outputs of a human operator, the AI model views the screen using ChatGPT Vision and decides on a series of mouse and keyboard actions to reach an objective.

It is worth mentioning that at the current time GPT-4 Visions error rate in estimating XY mouse click locations is currently quite high. However this framework aims to track the progress of multimodal models over time, aspiring to achieve human-level performance in computer operation.

Control your PC using AI

This fascinating development is not just for tech experts; it’s something that anyone with a bit of technical know-how can explore and even set up themselves. Thanks to the recent rollout by OpenAI of its new ChatGPT creation service that enables anyone to create customized AI models without writing a single line of code in just a few minutes. For more information on how to create custom GPT AI models jump over to our previous article

Here are some other articles you may find of interest on the subject of AI automation :

Self-Operating Computer Framework

At the heart of this demonstration is AI, that is been used to enables machines to mimic human-like thinking. AI systems are designed to process visual data, make sense of complex information, and take action all by themselves. When integrated into a computer, AI transforms it into an independent operator, capable of starting up applications and browsing the web without a person’s input.

If you’re intrigued and want to experience this firsthand, you can create your own AI-driven computer. Begin by visiting GitHub, a platform where developers share their work. Look for a project by Other Side AI and use it as your starting point. The next step is to set up a Python environment on your computer. Python is a popular programming language in AI development because it’s powerful yet approachable. Once you’ve got Python up and running, activate it and install the necessary components for the AI to function.

  • Compatibility: Designed for various multimodal models.
  • Integration: Currently integrated with GPT-4v as the default model.
  • Future Plans: Support for additional models.this

Before the AI can take the reins, you’ll need to tweak some settings. Adjust the environment variables so your computer knows where to find the AI’s files. Then, change your system’s permissions to allow the AI to interact with your operating system. This lets it perform tasks like opening files and running other software.

Now comes the exciting part: watching the AI in action. You’ll see it navigate your computer’s interface, recognizing icons and menus by sight. It can simulate mouse clicks and keystrokes to open applications and browse the internet. The AI’s ability to search online is particularly impressive, showing its skill in finding and processing web-based information.

The benefits of letting AI have complete control of your PC

  • Automation of Repetitive Tasks: AI can automate tasks that are repetitive or routine. For instance, it could manage email sorting, automate data entry, or handle file organization based on visual cues and learned patterns.
  • Enhanced Accessibility: For individuals with disabilities, an AI with screen-reading capabilities could greatly improve computer accessibility. It could interpret visual information and convey it in alternative formats, like audio or simplified visuals, aiding users with visual impairments.
  • Efficient Troubleshooting and Support: In IT support and troubleshooting, AI could visually identify issues on the screen, guide users through fixes, or even resolve problems autonomously, thereby improving efficiency and reducing downtime.
  • Learning and Adaptation: An AI system can learn from the user’s behavior, preferences, and frequent tasks. Over time, it could adapt to optimize workflows, suggest shortcuts, or reorganize interfaces to suit the user’s habits.
  • Real-Time Translation and Assistance: For users interacting with content in foreign languages, the AI could provide real-time translation. It could also offer context-sensitive help in applications, improving user experience and productivity.
  • Enhanced Security and Monitoring: With the ability to continuously monitor the screen, AI could detect suspicious activities, like phishing attempts or unauthorized access, and alert users or take preventive actions.
  • Integration with Other AI Services: The AI could interface with other AI tools like language models, predictive analytics, and more, providing a seamless integration of various AI capabilities for a more comprehensive user experience.

Privacy and security concerns

Granting an AI system full control of a computer, combined with the ability to visually interpret the screen, can bring several benefits, especially in areas requiring automation, accessibility, and enhanced user interaction:

While the capabilities of AI-driven computers are exciting, they also raise important questions. What does it mean to give AI this level of control? Are there risks to our security or privacy? As you explore what your self-operating computer can do, it’s important to consider these issues. Understanding both the power and the potential risks of AI is essential as we begin to incorporate these systems into our daily lives.

The rise of self-operating computer systems steered by AI is a significant milestone in tech innovation. By following the steps outlined, you can set up your own system and discover its capabilities. As AI technology continues to advance, it’s crucial to stay informed about its impact, ensuring that we integrate it into our lives thoughtfully and responsibly. For Quickstart instructions jump over to the official GitHub repository.

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How to use ChatGPT 4 to fully automate your content creation

Using ChatGPT-4 to automate content creation for social media workflows

If you would like to harness the power of OpenAI’s ChatGPT to help automate your content creation and social media workflow this quick guide will take you through a process created by Michael Borman. Who has kindly shared insight into how he created a ChatGPT-4 powered system that uses AI tools and combines them with services such as Make, Airtable, Google sheets, WordPress and more.

The process of content creation and posting for personal or business use has become a critical aspect of online presence. However, this process can be time-consuming and expensive, especially when it involves posting content to major platforms such as Medium, WordPress, Twitter, and LinkedIn. The good news is that advancements in technology, particularly in the field of artificial intelligence (AI), have made it possible to automate this process, thereby saving time and resources. This article will delve into how AI tools can be used to fully automate your content creation and social media workflow.

The first step in automating content creation involves the use of AI for research. A state-of-the-art AI agent can be used to conduct research on a variety of topics, ensuring that the content stays fresh and up-to-date. This AI agent can be hosted on platforms like Make, which also initiates the automation process by creating a new row in Airtable, a cloud-based software that stores all content and links to posts.

Automated ChatGPT content creation

Other articles you may find of interest on the subject of using the powerful ChatGPT AI created by OpenAI.

The AI agent then grabs a topic from a Google Sheets document containing over 100 different content topics. This is a crucial step as it allows for a wide range of topics to be covered, thereby ensuring that the content remains diverse and engaging. Once the topic has been selected, the AI agent conducts research and returns a condensed set of information from multiple web pages. This information forms the basis of the content to be created.

How to use ChatGPT for content creation

The next step involves the use of Generative Pre-trained Transformer 4 (GPT-4), a language prediction model, for blog generation. A series of ChatGPT-4 calls are used to generate the blog post, including the title, schema, slug, and tags. This process ensures that the content is not only informative but also well-structured and SEO-friendly.

Once the content has been created, it is then posted to WordPress, with summaries posted on LinkedIn, Medium, and Twitter. This multi-platform approach ensures that the content reaches a wide audience, thereby increasing its visibility and impact. The URLs of these posts are then sent back to Airtable for future reference.

In addition to text, images also play a crucial role in content creation. The system incorporates a mid-journey API to automate the image generation process. This API generates images for the blog, which are then stored back into Airtable. This ensures that the content is not only informative but also visually appealing.

Fully automated social media workflow

The automation process also includes a review and confirmation process before posting. This is a crucial step as it ensures that the content is error-free and meets the required standards. Tools like Zapier and Make can be used for this purpose, allowing for partial automation of the review process.

The system can be set to run automatically, generating new content daily. It can also be set to run multiple times a day, generating multiple blog posts. This flexibility allows for a steady stream of fresh content, which is crucial for maintaining an active online presence.

The use of AI tools for automating content creation and social media workflow can be a game-changer for businesses and individuals alike. It not only saves time and resources but also ensures that the content is diverse, engaging, and up-to-date. With tools like Zapier, Make, Airtable, Google Sheets, and OpenAI’s GPT-4, the process of content creation and posting can be fully automated, allowing you to focus on other important aspects of your business or personal life.

Image Credit : Airtable

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