ChatGPT just rolled out a set of upgrades that feel less like “small improvements” and more like a shift in how you can use it day to day. The big theme is simple: ChatGPT is becoming more action-oriented. Instead of only answering questions, it’s moving closer to doing research, helping
Most AI tools still feel like something you use. Gooseworks is different. It feels more like something that uses you as the boss, then goes and gets work done for real: customer support, lead finding and nurturing, content creation, SEO audits, scheduling automations, and more. In this guide, I will
If you follow artificial intelligence and cybersecurity, you have probably felt the ground shifting for a while. The difference this time is that the shift is now being described in blunt, operational terms: Anthropic says its unreleased Claude Mythos Preview model is “too dangerous” to release publicly. That is not
Google just shipped a stack of updates that make Gemini feel less like a chatbot and more like an actual creative and productivity system. The big headline is Lyra 3, a new music generation upgrade that can produce tracks up to three minutes long. On the workflow side, Gemini now
One of the most surprising turns in the AI world recently was not a dramatic model release, not a new benchmark, not even a polished product announcement. It was a source-code leak. And the bigger story is what that leak exposed: a glimpse into the “secret sauce” powering Anthropic’s coding-focused
Canadian Technology Magazine readers are going to love this one, because it sits right on the fault line between “cool AI demo” and “uh oh, that changes everything.” We’re talking about LLM emotions, leaked internals from Anthropic’s Claude Code, the possibility of AI “qualia” and consciousness-like states, and a longer-term
In the last couple of days, the AI software world felt like it accelerated overnight. One moment there was a proprietary coding workflow that many teams relied on, and the next moment a clean-room style rebuild appeared fast enough to make people question what is even hard anymore. The headline
Google just pushed a wave of upgrades that make AI video generation, live audio AI, music creation, and even UI/UX design feel a lot closer to “real production.” If you build content, prototype products, or just like making things with modern AI tools, these changes are worth your attention. This
Table of Contents A new AI automation builder is changing what “no-code” really means If you have ever tried to automate a manual task, you already know the pattern: you find a tool, then you need setup. APIs. Webhooks. Key management. Debugging. Glue code. And then, after all that, the
Google just pushed a stack of upgrades across NotebookLM and Gemini, and the big theme is simple: your AI workflows are getting faster, more flexible, and more connected to the rest of the Google ecosystem. If you rely on these tools for writing, research, content creation, or internal productivity, the