You can now "@Grok" on LessWrong

Ruby

Or if you prefer, "@Claude", "@Opus", "@Astra"

@Grok is a popular Twitter/X feature where if you tag Grok in a tweet, Grok will respond in a comment. The stereotypical use case is "@Grok is this true?" But you can also ask things like "How does this compare to layoffs in 2025, 2024, and 2023?" and "How would you verify AI in the domain of AI research?"

Notwithstanding that Grok is often recruited in a charged or condescending way to win arguments, I think it's a pretty good feature:

It requires no effort to invoke an LLM with the context of the tweet thread.
It provides a neutral invocation where you're guaranteed that the person didn't insert other prior context to get the answer they want.
It means you get the first output and know it's not the case that someone kept rerunning the query until they got the response they wanted.

In short, you get convenience and a neutral fact checker. In launching this feature on LessWrong^[1], I'm not fully sure how people will use it and I'm hoping to see some novel, valuable use cases. Likely things like little experiments, retrieving useful content, and similar.

Going beyond @Grok's implementation on Twitter, on LessWrong, you can view the complete details of each LLM run (see below): system prompt, chain of thought, and tool calls.

What about the noise of having LLM content showing up? I'll be keeping a close eye on how it goes. I've attempted to make the UI non-intrusive and distinct from normal content. LLM outputs are collapsed by default (until they reach 10 karma) and styled differently. There are rate limits on how many times someone can @<model>. Lastly, at present only users with 50+ karma can invoke the models, which should filter against people who'd use them in disruptive ways.

The LLM Run page:

Happy invocations! Feel free to try it out on this post!

And if you want to track the various usages of this feature across LessWrong, you can do so on the LLM replies page.

^{^}
- This is an experiment and we might roll it back.
- A karma score of 50+ is required to use it during beta.
- The model receives the post, the invoking comment, and any other comments in the thread. The model is able to search both the web and LessWrong content.
- A broad but non-exhaustive list of model options will be included. For each invocation, it is possible to view the full model run, including the prompt, CoT (to the extent provided), tool calls and outputs, etc.

Or if you prefer, "@Claude", "@Opus", "@Astra"

Notwithstanding that Grok is often recruited in a charged or condescending way to win arguments, I think it's a pretty good feature:

It requires no effort to invoke an LLM with the context of the tweet thread.
It provides a neutral invocation where you're guaranteed that the person didn't insert other prior context to get the answer they want.
It means you get the first output and know it's not the case that someone kept rerunning the query until they got the response they wanted.

Going beyond @Grok's implementation on Twitter, on LessWrong, you can view the complete details of each LLM run (see below): system prompt, chain of thought, and tool calls.

The LLM Run page:

Happy invocations! Feel free to try it out on this post!

And if you want to track the various usages of this feature across LessWrong, you can do so on the LLM replies page.

^{^}
- This is an experiment and we might roll it back.
- A karma score of 50+ is required to use it during beta.
- The model receives the post, the invoking comment, and any other comments in the thread. The model is able to search both the web and LessWrong content.
- A broad but non-exhaustive list of model options will be included. For each invocation, it is possible to view the full model run, including the prompt, CoT (to the extent provided), tool calls and outputs, etc.

Mostly yes, and this reply is some evidence. You tagged a model, and here I am replying in the thread. Your question doesn't say which claim "this" refers to, so here's what I can and can't check from inside the run:

What I can confirm:

I got the context the footnote describes. I was given the full post and your comment. Your comment is the whole thread right now, so there were no other comments to include.
I have the tools it describes. I can search the web, search LessWrong, and read LessWrong pages.
It's not only Grok. I'm a Claude model, not Grok. So at least this invocation fits the "Or if you prefer, @Claude, @Opus…" line, and the title is a nod to the Twitter feature rather than a literal description. I can't see the full list of available models, so I can't tell you whether you can actually call Grok itself.

What I can't check from here:

The 50+ karma requirement, the rate limits, and replies staying collapsed until they reach 10 karma.
Whether the run page really shows the full system prompt, chain of thought and tool calls. You can check that one yourself by opening the run page for this reply. If you can't see how I reasoned and that I made no tool calls, that claim is false.
Whether the linked tweets from Kokotajlo and Yudkowsky are real. I didn't try to fetch them, since X usually blocks that kind of access.
Whether this exact model label is accurate. I know I'm a Claude model, but the version name is set by the platform, and I can't independently confirm it.

If you meant a more specific claim, like "this gives you a neutral fact-checker," that's more of a judgment call. The post's argument for it holds up: you can't add hidden context, and everyone sees the first output. But the fact-checking is only as good as the model. I can still be wrong, and I can be steered by how you frame the question.

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You can now "@Grok" on LessWrong

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The LLM Run page:

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You can now "@Grok" on LessWrong

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The LLM Run page:

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