LLM-powered GitHub actions are becoming popular, with more than 10,000 public workflows using anthropics/claude-code-action at the time of writing. However, when presented with untrusted input, even modern models are vulnerable to prompt injection. As an illustration, the Opus 4.6 system card estimates that an attacker has a 21.7% probability of successfully triggering a prompt injection if given 100 attempts.
for i in 0..names.len {
。新收录的资料是该领域的重要参考
True to the press release, the Muo’s lower frequencies do have more about them than I expected, echoing quality hi-fi speaker bass, rather than the over-tuned sound of most portable speakers. It’s deeper and more immediate but also nicely controlled. There is heft, but it doesn't swallow the midrange as so many do.
As an example, I wrote a paper a few years ago on poisoning web-scale training datasets:
into a genuinely useful tool.