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Alright you guys, this one caught my eye today because it feels like another sign that visual AI tools are about to level up again. The short version is that OpenAI is testing two new image models that aim to fix old issues and boost detail and color quality. Here are the key things that stood out to me: - big jump in detail and fidelity - fixes the yellow tint problem from Image 1 - closer competition with Google's Nano Banana 2 - early testers seeing more accurate colors and cleaner structure - style feels like a mix of old DALL E strengths with newer tech - likely launching around the same time as GPT 5.2 - could mean better assets for design, marketing, automation workflows I am curious how you guys feel about this. Are you excited for better image generation or are you sticking with your current model for now? Tbh, I'm not that optimistic with OpenAI right now. Been LOVING Google lately! Read the full article here: https://www.testingcatalog.com/openai-testing-new-image-2-models-on-lm-arena

You guys notice how all the big AI tools are slowly merging into these all in one automation hubs? Google looks like it's about to take a big swing here. The article basically says Google is testing an integration that could bring Opal's agent building tools directly into Gemini. Here are the key takeaways that matter for us playing with AI and automation: • potential native agent builder inside Gemini • unified space for custom mini apps and workflows • less switching between tools to build automations • signs that Google wants Gemini to become an automation hub • Google currently juggling three workflow builders which hints at a bigger consolidation coming • could push more no code users into agent style automation If Google really fuses Opal into Gemini, how would you guys use it in your workflows? Curious what kind of automations you'd build. Read the full article here: https://www.testingcatalog.com/google-plans-to-integrate-opal-agent-builder-into-gemini

So… real-time web search just moved inside Make. Make just launched Make AI Web Search, a native module that lets us pull live internet data straight into our scenarios without extra APIs, scraping tools, or separate accounts. Here is why I think this is a big deal for how we build AI and no-code automations: - Built-in web search module right on the canvas, no external API keys or scraping services - Search any topic and feed results directly into AI Tools, CRMs, notifications, agents, and more - Real-time research flows for brand monitoring, competitor tracking, SEO watchlists, and trend tracking - Automated alert pipelines for breaking news, regulatory changes, or industry announcements that can trigger downstream workflows - Lead enrichment from the web into your CRM, including background research when a new lead appears - Auto-updating knowledge workflows like dashboards, briefings, and article summaries powered by AI plus live search - Scenario logic based on search results, like only triggering actions when certain keywords or mentions appear - Available on all plans, with searches consuming credits so you can tune costs by choosing lighter models where it makes sense I am curious how you guys are thinking of using this. If you could plug real-time web search into any of your current automations, what would you build first? Article: https://www.make.com/en/blog/ai-web-search