Meta's handling of scammy advertisers has come under increased scrutiny in recent months after Reuters reported that researchers at the company at one point estimated that as much as 10 percent of its ad revenue could be coming from scams and banned products. The fact that Meta has made billions of dollars from problematic advertisers has also caused the company to be slow to take action against repeat offenders.
（一）从销售方取得的增值税专用发票上列明的增值税税额；
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▲左边为 Nano Banana Pro 生成，右边是 2；在我看来，初代 Pro 版本的真实感会更强｜提示词来源：X@cfryant
The common pattern across all of these seems to be filesystem and network ACLs enforced by the OS, not a separate kernel or hardware boundary. A determined attacker who already has code execution on your machine could potentially bypass Seatbelt or Landlock restrictions through privilege escalation. But that is not the threat model. The threat is an AI agent that is mostly helpful but occasionally careless or confused, and you want guardrails that catch the common failure modes - reading credentials it should not see, making network calls it should not make, writing to paths outside the project.