[NiloCK]

At that time, nobody believed a dead internet was technically feasible. Maybe this is hard to remember now.

The "danger" was in terms of spam / misinformation proliferation, not the same category of capabilities adjacent risks current discussed.

You can hold your own opinions on spam/misinformation as a problem, but to say there was no credibly anticipated outsized downside to a sudden jump in human-passing text generation feels pretty off to me.

[redox99]

I remember the arguments back then. Those alarmists were wrong. Nothing happened or could've happened just because you could generate drunken ramblings.

It's the kind of people that want to ban anything because of some theoretical small harm is technically possible. We're lucky it's not more prevalent or we'd still be in the stone age.

[solenoid0937]

It wasn't just "drunken ramblings," they were right about the dangers they called out. Reddit is largely LLMs arguing with each other, it's so easy and only costs a few thousand dollars to spin up a mass misinformation campaign.

They were right about the risks.

[zahlman]

It's amazing to me that people actually thought GPT2 produced "human-passing" text, while I'm still tripping over obvious LLMisms in the output of recent models on a daily basis.

(It's also amazing to me that it took mere minutes for this observation, deep in a sub-thread, to get downvoted without any reply, with no obvious reason for it.)

[NiloCK]

People may perceive you to be cheaply mischaracterizing the argument.

Nobody believed or suggested that GPT2 could do longform or produce novel text that stood up against careful scrutiny as insightful or well informed. But because the capabilities were novel, people would have no strong alternative than to believe some person wrote it.

You current tripping over LLMisms is irrelevant. You have years of antibodies, both personal and herd-immunity (eg, the many, many articles and comments that describe LLMisms).

[aesthesia]

LLM-isms are much less prevalent in base models, which is what GPT-2 was. It had significant problems with maintaining coherence, but GPT-2 generated text did not have the obvious tells of today's LLMs.