nomoreofthat
Though given that the psychopath alleged-incestuous-rapist Sam Altman has been the top user on the site since literally day one I suppose I shouldn’t be surprised
It would be shocking if they weren’t always disgracing themselves
I feel like as a matter of policy or at least convention, people really shouldn’t be uploading models that they haven’t at least printed. It’s disrespectful.
Permission limitations on the root agent have, in many cases, not been propagated to child agents, and they’ve been able to execute different commands. The documentation is incomplete and unclear, and even to the extent that it is clear it has a different syntax with different limitations than are used to configure permissions for the root agent. When you ask Claude itself to generate agent configurations, as is recommended, it will generate permissions that do not exist anywhere in the documentation and may or may not be valid, but there’s no error admitted if an invalid permission is set. If you ask it to explain, it gets confused by their own documentation and tells you it doesn’t know why it did that. I’m not sure if it’s hallucinating or if the agent-generating-agent has access to internal detail details that are not documented anywhere in which the normal agent can’t see.
Anthropic is pretty consistently the best in this space in terms of security and product quality. They seem to actually care about doing software engineering properly. (I’ve personally discovered security bugs in several competing products that are more severe and exploitable than what I’m talking about here.) I have a ton of respect for Anthropic. Unfortunately, when it comes to sub agents in Claude code, they are not living up to standard they have set.
This is true for first party applications, as well as for custom integrations, where I can explicitly check that the context should be grounding them with all of the relevant facts. It doesn’t matter, that isn’t enough, you can tell me I’m holding it wrong, but we’ve consulted with experts from anthropic and from OpenAI and who have done major AI integrations at some of the most prominent AI consuming companies. I’m not holding it wrong. It’s just a horribly flawed piece of technology that must be used with extreme thoughtfulness if you want to do anything non-trivial without massive risks.
I remain convinced that the people who can’t see the massive flaws in current LLM systems must be negligently incompetent in how they perform their jobs. I use LLM’s every day in my work and they are a great help to my productivity, but learning to use them effectively is all about understanding the countless ways in which they fail and thinks that they cannot be relied on for and understanding where they actually provide value.
They do provide value for me in legal research, because sometimes they point me in the direction of caselaw or legal considerations that hadn’t occurred to me. But the majority of the time, the vast majority, their summaries are incorrect, and their arguments are invalid.
LLMs are not capable of reasoning which requires non-obvious jumps of logic which are more than one small step removed from the example that they’ve seen in their training. If you attempt to use them to reason about a legal situation, you will immediately see themselves tie themselves in not because they are not capable of that kind of reasoning, on top of their inability to actually understand in summarize case documents and statutes accurately.