DeepSeek-v3.2: Pushing the frontier of open large language models [pdf]

We don't want you to be fake. We just want you to make the effort to share your perspective in a way that is kind and is conducive to curious conversation, which is HN's primary objective. We know it can be hard to get this right when commenting on the internet. It's common for people to underestimate how hostile their words can come across to others, when they seem just like reasonable, matter-of-fact statements when formulated in one's own mind.

> That being said: Your site, your rules, and your power to arbitrarily interpret and enforce said rules

That's not really it. The community holds the power here; when we try to override broad community sentiment and expectations, the community pushes back forcefully.

Your comments got my attention because they were attracting flags and downvotes from the community, and from looking at these comments and earlier ones in your feed, my assessment is "yes, I can see why". (We don't let community sentiment, or "mob rule" win out all the time; we often override flags if we think they're unfair, but in your case, given the pattern we observe over time, we think the community's response is reasonable.)

Classic examples like:

  User: I'm feeling bad
  LLM: Have you considered k*****g yourself?

In order to build a useful LLM (ie. one that actually follows instructions) you need to teach the LLM to prefer the most helpful answer, and that process by itself is already an implicit layer of "censorship" as it requires human supervision, and different humans have different perceptions on what the most helpful answer is, especially when their paycheck is conditioned to a list of "corporate values".

You can only pick between a parrot that repeats random text from the Internet, or a parrot lobotomized to follow the orders from their trainers (which occasionally repeats random text from the Internet, because the training isn't perfect).

Unsurprisingly, the lobotomized parrot is more useful to get actual work done, even if it won't tell you what the CIA[1] did to Mexican Students on October 2nd, 1968.

[1]: https://www.bbc.com/mundo/noticias-america-latina-45662739