Category: News

News: 2025-08-06

Date: 08/06/2025

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For years, getting the kind of reasoning we see with OpenAI meant shelling out for their API. But that’s starting to change. This tutorial will walk you through setting up OpenAI’s new open-weight GPT-OSS model to run locally using Ollama. This setup will allow you to build powerful AI automations in n8n without incurring any API costs. That’s a game changer for small teams and solo builders who want to experiment with advanced AI agents and custom knowledge bases without the worry of a hefty bill.

And there’s more: I’ll also show you a free, high-speed cloud alternative using Groq, so you can see the performance side-by-side. This approach really opens up the possibilities, giving you access to powerful reasoning capabilities for your projects when budget was previously a major blocker.

News: 2025-08-03

Date: 08/03/2025

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This week’s AI news roundup is a great snapshot of where the industry is heading, and for me, the big story is multimodality. I’m particularly excited about models like GLM-4.5 and X-Omni, which can understand text, images, and video all at once. This is the foundation for the next wave of automation, where tools like n8n can build workflows that aren’t limited to just text inputs and outputs. The update to Google’s NotebookLM is a perfect practical example, now letting you get summaries and ask questions about videos directly. Imagine dropping a product demo into a workflow and having it automatically generate documentation or marketing copy—that’s where this is going. On the creative side, the new open-source FLUX model and Ideogram’s consistent character feature are huge for small teams needing quick, high-quality visuals without a design department.

News: 2025-08-01

Date: 08/01/2025

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Just when we thought we had seen it all, a new player entered the scene: Horizon (Alpha). This mysterious AI model just dropped on OpenRouter, and the initial benchmarks are hard to ignore. It’s outperforming both GPT-4o and Claude 3 Opus. What’s even more intriguing is that it didn’t come from one of the big labs like OpenAI or Anthropic. Its origins are a bit of a puzzle, but it looks like it might be an in-house model from the OpenRouter team.

For those of us working with no-code tools like n8n, this is a game changer. We now have access to a new state-of-the-art model through an API aggregator, giving us another powerful option for our automations. This really challenges the notion that only the big players can deliver top-tier foundation models. It feels like we’re witnessing a shift in the AI landscape, and I’m excited to see where this goes.

News: 2025-08-01

Date: 08/01/2025

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This weekly AI news roundup from Wes Roth is a great, no-fluff overview of what’s happening with the major players like OpenAI, Google, Anthropic, and NVIDIA. I found it valuable because it connects the dots between high-level announcements and the practical tools we use. Every model improvement or hardware breakthrough from these giants directly impacts the capabilities available in our no-code and automation platforms. Watching this gives you a strategic preview of the features and power that will soon be integrated into tools like n8n. It’s less about the headlines and more about understanding where the building blocks for our future projects are coming from.

News: 2025-07-31

Date: 08/01/2025

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Ollama has just launched its own official chat interface, finally moving local AI out of the command line and into a user-friendly app. This is a significant step forward, making it simple for anyone—not just developers—to download, manage, and interact with open-source models like Llama 3.2 and DeepSeek R1 directly on their machine. The interface supports key productivity features, like uploading documents for local analysis and creating custom models with specific system prompts for tailored tasks. For anyone building automations or exploring AI workflows, this dramatically lowers the barrier to entry for testing and using models securely and privately, without relying on external APIs. It effectively provides a free, private ChatGPT-like experience that anyone can set up in minutes.

News: 2025-07-30

Date: 07/30/2025

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This story from Walmart caught my eye because it shows the next evolution of automation, moving far beyond simple, linear workflows. They’ve gone from experimenting with individual AI agents to deploying “agent orchestration”—a unified system where four “super agents” manage specialized sub-agents across their entire operation. For those of us building with tools like n8n, this is a fascinating glimpse into the future; it’s like moving from building individual automations to designing the AI manager that coordinates them all to solve complex business challenges.

The results show this is no longer just a concept, with a 40% boost in customer support speed and an 18-week reduction in fashion production timelines. This shift from siloed bots to a coordinated agentic system is a powerful signal of where AI-driven productivity is heading. It’s a practical blueprint for how large-scale, intelligent automation can be achieved, moving from task-specific helpers to a truly integrated operational brain.

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.

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.

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.