I just use it to write emails, so I declare the facts to the LLM and tell it to write an email based on that and the context of the email. Works pretty well but doesn't really sound like something I wrote, it adds too much emotion.
People Twitter
People tweeting stuff. We allow tweets from anyone.
RULES:
- Mark NSFW content.
- No doxxing people.
- Must be a pic of the tweet or similar. No direct links to the tweet.
- No bullying or international politcs
- Be excellent to each other.
- Provide an archived link to the tweet (or similar) being shown if it's a major figure or a politician.
That sounds like more work than just writing the email to me
Yeah, that has been my experience so far. LLMs take as much or more work vs the way I normally do things.
This is what LLMs should be used for. People treat them like search engines and encyclopedias, which they definitely aren't
Exactly this is why I have a love/hate relationship with just about any LLM.
I love it most for generating code samples (small enough that I can manually check them, not entire files/projects) and re-writing existing text, again small enough to verify everything. Common theme being that I have to re-read its output a few times, to make 100% sure it hasn't made some random mistake.
I'm not entirely sure we're going to resolve this without additional technology, outside of 'the LLM'-itself.
This, but for tech bros.
Deepseek is pretty good tbh. The answers sometimes leave out information in a way that is misleading, but targeted follow up questions can clarify.