

Most of this is just marketing crap from Anthropic.
Finding vulnerabilities in code and generating complex, multistep exploits with publicly available models is possible now. This biggest hurdles now is setting correct context and actually knowing what to look for. Any “guardrails” for this behavior are easily bypassed by framing the detection and exploit generation as a valid dev style question in the most difficult of situations.
They likely just trained a model without guardrails in this case.
What they are doing here is over-hyping a problem and framing it like they are the only ones with a solution. LLM security issues are more in-focus now that companies have dumped a ton of resources into building AI systems they don’t really understand.







Trash app. If you actually want to see all of your data and have it recorded accurately, just switch to the Garmin ecosystem. Garmin isn’t without their own set of issues and problems, for sure. However, if you actually want data and not AI slop summaries, stay a far away from Google Health.
Simply put, it’s designed for people who think that wearing a fitness tracker will improve their health and want a chat bot that will make them feel better about that.