Latest news with #JulianGoldie
New York Post
02-08-2025
- Business
- New York Post
Meta's $250M whiz kid's last AI product ‘sucks at Google Chrome, flopped with Numbers': users
Meta's newest whiz kid has bagged himself a mighty $250 million pay packet, but users of the 24-year-old researcher's last AI offering have labelled it 'clunky' and complained it 'sucks at Google Chrome.' Matt Deitke's last tech tool, Vy is said to handle repetitive tasks 'with high accuracy' and without interrupting users while they browse. The product learns by observing user behavior and executes commands directly on the user's computer. 3 Meta's newest whiz kid, Matt Deitke, bagged himself a mighty $250 million pay packet, but some users of the 24-year-old researcher's last tech product called Vy have complained about its functionality. X / @Scobleizer But some Vy users like Julian Goldie, a search engine optimization expert, said its performance varies depending on the application and others claim the agent's performance hasn't lived up to the buzz 'It sucks at Google Chrome, flopped with Numbers, but it's magic with ChatGPT, Pages and Descript,' Goldie posted on X. Goldie likened Vy to Apple's iPhone during its early development. 'It's like the early iPhone moment for AI agents,' he wrote. He also acknowledged Vy's potential for managing workflow. 'It's like having an intern — except it doesn't ghost you, doesn't get tired and knows how to use your apps better than you do.' Deitke, who ditched his computer science doctoral program at the University of Washington to join Meta, recently turned his nose up at CEO Zuckerberg's 'low-ball' offer of around $125 million over four years, according to the New York Times. 3 Vy is able to observe the user's behavior and repeat commands on one's computer, with great accuracy. But when the Facebook founder had a meeting with him and doubled the offer, he accepted what could be one of the largest pay packets in corporate history, the Times said. Zuckerberg's protegee appears to have jumped ship from his startup, Vercept, which he founded with friends in November. Vercept raised $16 million in funding from venture capital and tech investors to push out Vy, but some users say they're struggling to find practical uses for the tool. One Reddit user, @u/fontainegal66 complained it was clunky. 'Been using it this past week, I've tried a bunch of stuff, some tasks it handles well, others still feel a bit clunky.' 3 One Vy user, Julian Goldie, took to X and said, 'It sucks at Google Chrome, flopped with Numbers, but it's magic with ChatGPT, Pages and Descript.' X / @mattdeitke 'I tried organizing a folder. It takes a lot of time. Takes screenshots, understands and then slowly does it. Maybe jobs like manual scraping it might do. I need to try,' user Glittering-AD-8200 wrote on Reddit. 'I'm really struggling to find a way to make it useful. It's technically impressive, but I … don't know how to get it doing useful things,' user @TonyTrewinnard also posted on X. Some users also noted technical glitches on Vercept's website, including issues signing up for the Vy waitlist. 'Your site won't let us join the waitlist. It keeps saying Mac only. Why does it think I don't have a Mac? You shouldn't make it so hard to follow you,' the @TechGuys account replied to an X video introducing Vy in May. Deitke, who until recently was offering Vy for free, acknowledged before now that the company was still in its early stages. 'We're still very new and very young,' Deitke said in a recent interview with tech blogger Robert Scoble. 'Making it an amazing experience is our number one priority right now.' Deitke did not immediately respond to a message seeking comment. Zuckerberg told investors on the company's Wednesday earnings call Meta is 'building an elite, talent-dense team. 'If you're going to be spending hundreds of billions of dollars on compute and building out multiple gigawatt of clusters, then it really does make sense to compete super hard and do whatever it takes to get that, you know, 50 or 70 or whatever it is, top researchers to build your team,' he said. 'There's just an absolute premium for the best and most talented people.'
Geeky Gadgets
21-06-2025
- Geeky Gadgets
Say Goodbye to Complex MCP Setups with This Free AI Toolkit
What if you could transform your workflow with a single, free toolkit? The latest update to the Claude MCP Toolkit is making waves in the tech community, and for good reason. By introducing a seamless integration with Docker Desktop, this update eliminates the headaches of traditional Model Context Protocol (MCP) setups. Imagine deploying multiple servers and clients with just a few clicks—no complex configurations, no advanced coding. It's a bold step forward, empowering developers and professionals to build AI-driven applications and automate tasks with unprecedented ease. The best part? This innovative solution is completely free, making it accessible to anyone ready to elevate their projects. In this report, Julian Goldie explores how the updated Claude MCP Toolkit is reshaping modular tool integration. From effortless MCP setups to advanced developer tools and real-world applications, this update promises to simplify even the most intricate workflows. You'll discover how tools like Firecraw for web scraping and 11 Labs for voice generation can be seamlessly combined to save time and boost productivity. Whether you're a seasoned developer or just starting out, the toolkit's intuitive design and robust community support ensure you'll unlock its full potential. As you read on, you might find yourself rethinking what's possible in your own projects. Claude MCP Toolkit Update Effortless MCP Setup with Docker Desktop At the core of this update is its seamless integration with Docker Desktop, a feature that simplifies the installation and management of MCP servers and clients. The intuitive interface eliminates the need for manual configurations or extensive coding, allowing you to activate tools with just a few clicks. Key tools supported by this update include: 11 Labs: A tool for generating realistic voice outputs. A tool for generating realistic voice outputs. Firecraw: A web scraping utility for data collection. A web scraping utility for data collection. Perplexity Reason: A solution for advanced data analysis. This streamlined setup process reduces the time and effort required to deploy MCP tools while minimizing errors often associated with manual installations. By simplifying these steps, the update ensures a more reliable and user-friendly experience. Enhanced Developer Tools for Seamless Integration The updated Claude MCP Toolkit offers developers a range of advanced features to integrate MCPs into diverse applications effortlessly. Through the MCP Docker settings available in Claude's developer section, you can enable and configure tools for platforms such as Cursor, Gordon, and These features provide: Flexibility: Easily embed MCPs into existing workflows to enhance functionality. Easily embed MCPs into existing workflows to enhance functionality. Customization: Tailor integrations to meet specific project requirements. Tailor integrations to meet specific project requirements. API Support: Simplify application integration and automation through robust API connections. These capabilities empower developers to create dynamic, efficient solutions while reducing the complexity of implementation. The toolkit's adaptability ensures that it can cater to a wide range of development needs. Claude MCP Toolkit: Free Update Simplifies Modular Workflows Watch this video on YouTube. Advance your skills in Model Context Protocol by reading more of our detailed content. Optimizing AI Workflows and Automation This update significantly enhances your ability to automate tasks and design advanced AI workflows. By combining multiple tools, you can orchestrate complex processes without requiring manual intervention. For instance: Use Firecraw to scrape data from online sources and analyze it using Perplexity Reason for actionable insights. to scrape data from online sources and analyze it using for actionable insights. Incorporate 11 Labs into workflows to generate dynamic voice outputs for audio content creation. This interconnected approach not only saves time but also allows you to focus on higher-value tasks while the toolkit handles repetitive processes. The ability to seamlessly integrate tools enhances productivity and enables the development of innovative solutions. Cost Efficiency and Time Savings One of the standout benefits of this update is its potential to reduce both costs and deployment time. Traditional MCP setups often require advanced coding skills and incur additional expenses, such as API usage fees or reliance on third-party tools. The Claude MCP Toolkit addresses these challenges by offering: Faster Deployment: A simplified setup process that reduces implementation time. A simplified setup process that reduces implementation time. Cost Savings: Eliminates the need for expensive tools like Visual Studio Code. Eliminates the need for expensive tools like Visual Studio Code. Reliability: A robust solution for managing modular tools without compromising on functionality. This makes the toolkit an attractive option for professionals seeking to optimize their workflows while maintaining a cost-effective approach. Comprehensive Step-by-Step Guidance To ensure a smooth onboarding experience, the update includes detailed step-by-step instructions. These resources are designed to help users of all skill levels get started quickly and confidently. Key features of the documentation include: Clear Instructions: Detailed steps for setting up Docker Desktop, allowing MCPs, and configuring APIs. Detailed steps for setting up Docker Desktop, allowing MCPs, and configuring APIs. Beginner-Friendly Guidance: Simplifies the learning curve for users new to MCPs. Simplifies the learning curve for users new to MCPs. Troubleshooting Support: Solutions for resolving common issues during setup. This comprehensive guidance ensures that even those unfamiliar with MCP tools can navigate the setup process with ease, allowing them to unlock the full potential of the toolkit. Practical Applications Across Industries The updated Claude MCP Toolkit opens up a wide range of practical applications, making it a valuable resource for professionals in various fields. Some examples include: Data Analysis: Use Firecraw to collect data from websites and analyze it with Perplexity Reason for actionable business insights. Use Firecraw to collect data from websites and analyze it with Perplexity Reason for actionable business insights. Audio Content Creation: Generate voiceovers for training materials or interactive applications using 11 Labs. Generate voiceovers for training materials or interactive applications using 11 Labs. Workflow Automation: Combine multiple MCP tools to streamline repetitive tasks and improve operational efficiency. These use cases highlight the toolkit's versatility and its ability to address diverse challenges across industries, from data science to content creation. Community Support and Resources The Claude MCP Toolkit is backed by a vibrant community of over 11,200 members, offering a wealth of resources and support. This network provides: Free Training: Sessions designed to help you master the toolkit's features. Sessions designed to help you master the toolkit's features. Personalized Assistance: Support for automation requests and troubleshooting. Support for automation requests and troubleshooting. Continuous Learning: Access to coaching calls and shared resources to enhance your skills. This collaborative environment ensures that you can maximize the toolkit's potential while benefiting from the collective expertise of its user base. The community-driven approach fosters innovation and encourages knowledge sharing among users. Empowering Modular Tool Integration The Claude Model Context Protocol MCP Toolkit update represents a significant step forward in modular tool integration and management. By simplifying the setup process through Docker Desktop, enhancing developer tools, and allowing advanced automation, it enables users to build powerful AI workflows with minimal effort. With its focus on cost efficiency, detailed guidance, and robust community support, the toolkit is an indispensable resource for developers and professionals looking to streamline their operations and achieve more with less effort. Media Credit: Julian Goldie SEO Filed Under: AI, Guides Latest Geeky Gadgets Deals Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy.
