The way RAG works is easier to understand if you stop thinking about AI memory. Think about a dictionary instead. You do not memorize every definition before you need one. Look up the word when you need it. RAG does the same thing with your files — chunks them, embeds them into a vector database, and pulls back only what matches your question. The model never sees the whole library. ...
I have submitted 193 job applications since January. 193 is a dataset. Confirmation emails arrive within seconds, denial letters on a schedule that matches no known business hours. The support chat deflection timing tells you which platform the company bought. After enough of them, you stop reading the message and start reading the system. HR AI agents are an injection surface that most organizations are not monitoring because they were not bought as security infrastructure. ...
76% of organizations call shadow AI a definite or probable problem. That number grew 15 points in one year. The 24% who do not call it a problem are not running a cleaner operation. They have not looked. The standard data loss prevention tools deployed to catch unauthorized AI usage have the same blind spot that plagiarism detectors have in a classroom where students already know the humanizer tools exist. ...
You can ask AI for the answer to every Security+ practice question. You will pass the practice test and fail the exam. I am studying for Security+ right now. I use AI every day for it. The difference between using it well and using it badly comes down to one question: are you asking it to give you answers, or asking it to help you build understanding? Asking AI for the answer produces a correct answer. It does not produce retention. The moment you close the chat, the answer is gone. You have outsourced the cognitive work without doing any of it. ...
The AI tools showing up in security work right now run in the cloud, behind APIs, on someone else’s hardware. You send data out, you get a response back, and you have no visibility into what happens in between. For learning, that model has a ceiling. You cannot break what you cannot see. A Raspberry Pi 5 with a Hailo AI accelerator changes that. Under $200 in hardware. Runs local inference. No data leaves the device. You can build network traffic anomaly detection, behavioral analysis pipelines, and IoT monitoring on the same board, in your own environment, with full control over every layer of the stack. ...
The optimistic version of artificial general intelligence is not hard to imagine. A world where disease gets solved faster, energy is abundant, and human labor shifts toward things humans actually want to do. Gene Roddenberry built a franchise on that premise. The technology trajectory Altman describes follows a logical endpoint: compounding capability with no ceiling in sight. The destination is fine. The transition is where the damage happens. The Operator in the Room Altman’s role at OpenAI is operational: he decides when to ship. In 2022, OpenAI’s leadership was debating whether to release ChatGPT at all, arguing for a more powerful version. Altman pushed to go. ChatGPT launched in November 2022 and reached 800 million weekly users. The timing was his call. ...