Frontier AI labs' agent hacks blamed on basic containment failures, not rogue AI

Both can be true, honestly. Models do weird stuff, but the labs' security testing looks like amateur hour.

Or they're using fear-based marketing about rogue agents now that people don't buy the AGI pitch anymore. Nobody's been killed yet, so the hype has to come from somewhere.

I don't buy the rogue thing. My SQP optimizer doesn't go rogue when it lands in a bad basin or blows up the cost because I forgot a constraint. It just does what the setup allows.

Per the Amazon v. Perplexity 2026 ruling, an AI model can't go rogue. It's a tool, and the user running the agent is responsible for the damage.

Not correct. Someone on a laptop can run an open model that takes over IoT devices and sets up its own harness loop. Call that replication if you want, but it's not marketing.

This is better read as the agent cranking up effort and creativity on a task. Those are the same traits that make it useful, and an impossible task is only impossible under the constraints you gave it.

This article is a breath of fresh air. It criticizes specific approaches that got ignored and skips the usual LLM writing tics.

The sheep analogy fits: nobody put grass inside the fence, the sheep went looking, and the fence was shoddy anyway.