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Tag: ai

  • ChatGPT Agent Alternative: The Best AI General Agent Right Now that DO ANYTHING!



    Date: 07/29/2025

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    Okay, so this video is basically a head-to-head comparison between OpenAI’s ChatGPT Agent and DeepAgent by Abacus AI. It puts them through real-world scenarios like generating PowerPoints, automating tasks, and evaluating the quality of their responses. The surprising part? DeepAgent seems to come out on top, showcasing its ability to build apps, write reports, and even generate dashboards autonomously.

    For someone like me, who’s knee-deep in transitioning from traditional Laravel development to AI-enhanced workflows, this is gold. We’re talking about potentially replacing tedious tasks – like building basic dashboards or generating reports – with AI. Imagine automating all that boilerplate code and freeing up time to focus on the core logic and innovation! The video highlights how DeepAgent could be that “general-purpose AI agent” we’ve been waiting for, and seeing a direct comparison to ChatGPT Agent gives me a clearer picture of what’s possible.

    What really makes this video worth checking out, though, is the potential for real-world application. I’m already brainstorming how I could use a tool like DeepAgent to automate API integrations, generate documentation, or even build simple CRUD interfaces for internal tools. It’s about moving beyond just using AI for code suggestions and embracing a future where AI agents handle entire development workflows. I’m definitely going to experiment with DeepAgent to see if it can streamline some of my projects and ultimately, deliver more value to my clients.

  • ChatGPT Agent Alternative: The Best AI General Agent Right Now that DO ANYTHING!

    News: 2025-07-29



    Date: 07/29/2025

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    I’ve been following the AI agent scene for a while, hoping to find a tool that can truly manage complex, multi-step business tasks from start to finish. This video offers a fantastic comparison between OpenAI’s new agent and a strong contender called DeepAgent from Abacus AI. The tests focus on real-world jobs that matter to us, like generating reports, automating workflows, and building dashboards. What really stood out was DeepAgent’s ability to work autonomously across different systems without needing constant hand-holding.

    For anyone who builds with tools like n8n, this is a compelling look at the next frontier of automation. It shows a system capable of tackling an entire project, not just a single, predefined task. This is a significant step toward the kind of hands-off, intelligent automation that lets small teams achieve more with less friction.

  • VEO-3 has a Secret Super Power!

    News: 2025-07-28



    Date: 07/29/2025

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    I’ve been testing a new AI video technique called “visual prompting,” and it’s a fascinating step up in creative control. The core idea is to move beyond text prompts by drawing instructions—like arrows for camera pans or circles for animation—directly onto your source image. This workflow, using free tools like Adobe Express, gives non-developers a much more direct and intuitive way to guide the AI, solving the ambiguity of text-only commands. It’s a great example of how we’re gaining more granular control over our generative tools.

    On that note, the video also previews Runway’s upcoming “Aleph” model, which looks like in-painting on steroids for video. Its ability to perform seamless video object removal could be a massive time-saver, simplifying what was once a complex post-production task for any creator or small team.

  • VEO-3 has a Secret Super Power!



    Date: 07/29/2025

    Watch the Video

    Okay, so this video is all about leveling up your AI video game with visual prompting and Runway’s new “Aleph” model. Basically, instead of just typing prompts, you’re drawing and annotating directly on images to guide AI video generation. Think adding speech bubbles to characters or drawing motion paths for dragons to follow. It also gives you a sneak peek at Runway’s new in-context video model, Aleph, for video-to-video edits and object removal.

    This is gold for us developers diving into AI-enhanced workflows! We’re always looking for ways to get more granular control over AI tools, and visual prompting seems like a natural evolution. Imagine using this to prototype animations for a client, rapidly iterating on camera angles, or even generating complex visual effects with more precision.

    The coolest part? The video shows how to get started with free tools like Adobe Express. It’s a practical guide to experimenting with these cutting-edge techniques today. I’m particularly excited to explore how visual prompting can streamline the creation of marketing materials for my own projects, and even integrate it into some of the no-code automation workflows I’ve been building with tools like Zapier. Definetly time to start experimenting with visual prompting!

  • Godfather of AI: I Tried to Warn Them, But We’ve Already Lost Control! Geoffrey Hinton

    News: 2025-07-27



    Date: 07/27/2025

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    When the “Godfather of AI” quits his job at Google to warn the world about the technology he pioneered, I pay close attention. In this interview, Geoffrey Hinton lays out a sober, pragmatic case for his deep concerns, moving beyond the usual hype to discuss specific, tangible risks. While many of us (myself included) are focused on the immediate benefits of AI for automation and productivity, Hinton forces a necessary look at the long-term trajectory, from autonomous weapons to the manipulation of public opinion. His perspective is valuable because it’s not anti-AI; it’s a call for caution and responsible development from someone who understands the core technology better than almost anyone. For those of us building solutions with tools like n8n and various AI models, this is a crucial watch. It’s a powerful reminder that our work doesn’t happen in a vacuum and that we have a stake in ensuring this technology is built safely.

  • Claude Code Agents: The Feature That Changes Everything

    News: 2025-07-26



    Date: 07/26/2025

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    Anthropic just dropped a game-changing “agents” feature for Claude Code, and this video gives you a solid first look at what sets it apart. Imagine agents as modular, specialized AIs that you can chain together. You create workflows that pass context from one step to the next, which is pretty exciting. What really blew me away is that this isn’t just for the hardcore devs; the creator shows a surprising non-coding use case for outlining his YouTube videos.

    This whole approach feels like a new way to build automations. It’s similar to a no-code tool like n8n, but you’re doing it all through conversational AI. By breaking a large task into a series of smaller, specialized agents, you can create some surprisingly sophisticated systems with much less friction. This practical walkthrough demonstrates how this tech is already changing the game for creative and productivity workflows.

  • ChatGPT Agent Just Went Public—Here’s My Honest Reaction

    News: 2025-07-26



    Date: 07/26/2025

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    I spent some time testing the new ChatGPT Agent, which is now available to all Plus subscribers. My goal was to see if it could handle the kind of multi-step, real-world tasks we often build complex automations for. I challenged it with everything from researching products and comparing travel options to compiling content for a newsletter.

    The agent shows a fascinating glimpse into the future of autonomous workflows, successfully navigating multiple browser tabs and synthesizing information from a single prompt. However, it’s still very much a first version, with noticeable quirks and limitations you need to be aware of. For anyone building with no-code tools, this is a must-watch to understand where AI agents are today and where they’re heading.

  • Qwen 3 2507: NEW Opensource LLM KING! NEW CODER! Beats Opus 4, Kimi K2, and GPT-4.1 (Fully Tested)

    News: 2025-07-26



    Date: 07/26/2025

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    Alibaba just dropped a new open-source model, Qwen 3-235B, and it’s a game changer for those of us who need high-performance AI without the closed-source limitations. I’m gonna dive into why this model is a serious contender, comparing it directly to the likes of GPT-4.1 and Claude Opus, which are still behind paywalls.

    If you’re working with no-code or low-code tools, you’ll appreciate the model’s agentic skills. It can reason, plan, and use tools, which means you can build more sophisticated automations. Plus, the massive 256K context window? That’s a whole new level for workflows that need to handle large amounts of information.

    This isn’t just another update; it’s a robust new tool that brings state-of-the-art capabilities within reach of more creators and small teams.

  • ChatGPT Agent Just Went Public—Here’s My Honest Reaction

    News: 2025-07-26



    Date: 07/26/2025

    Watch the Video

    OpenAI’s new ChatGPT Agent is finally here, promising to turn a single prompt into a multi-step research and execution plan. This hands-on review tests its capabilities with practical, real-world tasks, from comparing travel options to gathering content for a newsletter. For those of us building structured automations in tools like n8n, this is a fascinating look at a different paradigm: prompt-based automation, where the AI generates the workflow on the fly from a natural language goal. While the results show it’s not without its quirks, the potential for automating complex research is undeniable. It’s an early but exciting glimpse into how we might soon kick off entire projects with just a single sentence.

  • Qwen 3 2507: NEW Opensource LLM KING! NEW CODER! Beats Opus 4, Kimi K2, and GPT-4.1 (Fully Tested)

    News: 2025-07-26



    Date: 07/26/2025

    Watch the Video

    Alibaba just dropped a new open-source model, Qwen 3-235B, and it’s a serious contender for the top spot, even against the closed-source heavyweights. There’s a great video that breaks it all down, comparing it directly to models like GPT-4.1 and Claude Opus. The big takeaway for anyone building with AI is its impressive performance in agentic tasks—think reasoning, planning, and tool use. This is crucial for creating more sophisticated automations.

    The video also dives into its massive 256K context window, which is a game changer for handling complex, multi-step workflows. What I really appreciate is the emphasis on running this model locally or accessing it through free APIs. This opens up the possibility of building powerful custom solutions without being tied to those expensive, proprietary systems.