Every promise.
Every risk.
The truth.
AI is the most consequential technology of our generation — and the most over-hyped. This is a YouTube channel for business leaders who want a balanced, honest read on what AI actually delivers and what it actually costs. Hosted by Fredrik Lindstrom, drawing on twenty-five years in cybersecurity and enterprise technology.
Two columns. Every episode. No exceptions.
What this technology genuinely delivers when used well. The capabilities, the time savings, the genuine creative and analytic upside — without the breathless marketing language.
What can actually go wrong. Hallucinations, security exposure, regulatory mismatches, governance failures, vendor lock-in, change-management debt — the things vendors don't put on the slide.
Training, Retention, Memory — What ChatGPT Actually Does With Your Chats
You went into settings, turned off the switch that lets the AI train on your conversations, and reasonably assumed that was the job done. It wasn't. Training, retention and memory are three separate systems with three separate controls and three separate timelines — and the one switch everybody finds only touches the first.
2,436 Bugs in 269 Projects — The Open Model That Outscored Claude on Cyber
Zhipu shipped GLM 5.3 on August 14 and it outscored both Anthropic and OpenAI at finding security flaws from source code. Then it held back the weights — nobody asked it to. Same base model as 5.2, no new pre-training run. The version number stopped tracking what's inside the box.
AI News of the Week — August 15, 2026
On August 7, OpenAI stopped part of the work on its next model — it could not rule out that the model writes and runs zero-days on hardened systems unsupervised. Three days later it shipped a model built to do most of that. Both calls were right. That's the week.