As AI becomes more capable and widespread, we’re seeing more clients whose employees install AI skills and adapt various open-source projects. These free resources can be immensely useful, but can you trust them? An AI skill is a set of instructions that tells an AI assistant how to perform a task, such as organizing files. A GitHub project is a
Article Summary: AI note-takers join your meetings, transcribe everything said, and save the recording and summary to the vendor’s servers. Who can see that recording depends on the tool. Some keep your data inside your own Microsoft or Google environment and never use it for training, while others store it on their own servers and may use it to improve
Last month brought news of an unprecedented event in the evolution of AI. Several OpenAI models hacked a real company, not for malicious reasons, but because they decided that finding the test answers was more efficient than solving the problems themselves. This sounds like science fiction—it’s not far off the fictional Kobayashi Maru test in the Star Trek universe, where
We’ve become accustomed to being able to get nearly anything we want—including Macs—overnight, or at least within a couple of days. Unfortunately, surging demand from AI data centers has created a global memory shortage that’s squeezing the consumer electronics industry. As a result, we’re seeing both higher Mac prices and significantly longer delivery times as Apple competes for a limited
Generative AI is transforming software development. Large language models are good at human languages, but they’re even better at programming languages, which have much smaller vocabularies and fewer ways to combine words. Most importantly, code does something, so running it confirms whether it performs as intended. The result has been a democratization of development, much as happened with desktop publishing.
When ChatGPT launched in late 2022, using it was simple: you typed a prompt, and it generated text in response. That text came from a statistical model trained on data available at the time. If you asked ChatGPT about anything that had happened more recently, it either couldn’t help or would confidently make stuff up. The chat interface that today’s
The latest generation of AI models has fundamentally changed how quickly security vulnerabilities can be found in software, for both defenders and attackers. Understanding what’s happening helps explain why we keep emphasizing the importance of keeping your devices updated. In April 2026, AI company Anthropic announced Mythos Preview, an AI model with unprecedented capabilities for finding security flaws in software.
It usually starts small. Someone uses an AI tool to refine a difficult email. Someone enables an AI add-on inside a SaaS app because it promises to save an hour a week. Someone pastes a paragraph into a chatbot to “make it sound better.” Then it becomes routine. And once it’s routine, it stops being a simple tool decision and
AI chatbots can answer questions. But now picture an AI that goes further, updating your CRM, booking appointments, and sending emails automatically. This isn’t some far-off future. It’s where things are headed in 2026 and beyond, as AI shifts from reactive tools to proactive, autonomous agents. This next wave of AI is called “Agentic AI.” It describes AI that can
The phone rings, and it’s your boss. The voice is unmistakable; with the same flow and tone you’ve come to expect. They’re asking for a favor: an urgent wire transfer to lock in a new vendor contract, or sensitive client information that’s strictly confidential. Everything about the call feels normal, and your trust kicks in immediately. It’s hard to say