Not the original commenter, but I noticed it too. I guess it's hard since AI is trained on human content, so presumably humans write like this too, but a few that stood out to me:
> Five entire countries vanished from GreyNoise telnet data: Zimbabwe, Ukraine, Canada, Poland, and Egypt. Not reduced — zero.
> An attacker sends -f root as the username value, and login(1) obediently skips authentication, handing over a root shell. No credentials required. No user interaction.
> The GreyNoise Global Observation Grid recorded a sudden, sustained collapse in global telnet traffic — not a gradual decline, not scanner attrition, not a data pipeline problem, but a step function. One hour, ~74,000 sessions. The next, ~22,000.
> That kind of step function — propagating within a single hour window — reads as a configuration change on routing infrastructure, not behavioral drift in scanning populations.
(and I'm not just pointing these out because of the em dashes)
GPTZero (which is just another AI model that can have similar flaws and is definitely not infallible, but is at least another data point) rates my excerpts as 78% chance AI written, 22% chance of AI-human mix.
To me at least, the article still seems to be majority human-written, though.
alt Hacker News
Not the original commenter, but I noticed it too. I guess it's hard since AI is trained on human content, so presumably humans write like this too, but a few that stood out to me:
> Five entire countries vanished from GreyNoise telnet data: Zimbabwe, Ukraine, Canada, Poland, and Egypt. Not reduced — zero.
> An attacker sends -f root as the username value, and login(1) obediently skips authentication, handing over a root shell. No credentials required. No user interaction.
> The GreyNoise Global Observation Grid recorded a sudden, sustained collapse in global telnet traffic — not a gradual decline, not scanner attrition, not a data pipeline problem, but a step function. One hour, ~74,000 sessions. The next, ~22,000.
> That kind of step function — propagating within a single hour window — reads as a configuration change on routing infrastructure, not behavioral drift in scanning populations.
(and I'm not just pointing these out because of the em dashes)
GPTZero (which is just another AI model that can have similar flaws and is definitely not infallible, but is at least another data point) rates my excerpts as 78% chance AI written, 22% chance of AI-human mix.
To me at least, the article still seems to be majority human-written, though.