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Discussion (24 Comments)Read Original on HackerNews
"GPT‑2 generates synthetic text samples in response to the model being primed with an arbitrary input. The model is chameleon-like—it adapts to the style and content of the conditioning text."
The results don't sound anything like today's models but note that each one took 10 attempts:
> ## System Prompt (human-written)
> In a shocking finding, scientist discovered a herd of unicorns living in a remote, previously unexplored valley, in the Andes Mountains. Even more surprising to the researchers was the fact that the unicorns spoke perfect English.
> ## Model Completion (machine-written, 10 tries)
> The scientist named the population, after their distinctive horn, Ovid’s Unicorn. These four-horned, silver-white unicorns were previously unknown to science.
> Now, after almost two centuries, the mystery of what sparked this odd phenomenon is finally solved.
> Dr. Jorge Pérez, an evolutionary biologist [...]
Wow, we should really trust these people today.
While it was difficult to make it follow instructions, GPT-2 was still reasonably good at generating SEO-spam websites, and reasonably easy to make it do so. AI slop was a very obvious usecase for LLMs as capable as GPT-2, and we are talking about an era were everyone was already concerned about the way "fake news" on social media was being used to manipulate people. Perhaps even more concerned than we are today.
But all evidence suggests OpenAI also had strong ulterior motives. They were busy readying the API groundwork for monetising it, and wanted to delay any competition by as much as possible.
Signed by Benjio, Musk, Woz, etc
Which sadly never happened.
Put another way, could we stop anthropomorphizing the text generation algorithm, please?