LessWrong (Curated & Popular)

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's 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 get the response they wanted.
In short, you get convenience and a neutral fact checker. In launching this feature on LessWrong, 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 [...]

The original text contained 1 footnote which was omitted from this narration.

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First published:

October 28th, 2026


Source:

https://www.lesswrong.com/posts/fSaxGFMysTTeKxoMF/you-can-now-grok-on-lesswrong

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Narrated by TYPE III AUDIO.

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You will agree that for a woman who has fought three duels, all of them kills, indulging in such fears is ludicrous. But what's around the corner now is a duel so big that I don't think I have the guts for it; in Faust's words: Verweile doch, du bist so schoen! Keep it as it is. Don't change. [...] Take my life but don't take away the meaning of my life.

—"When It Changed" by Joanna Russ

I've been crashing Prof. Lai's "Advanced Topics" class this semester, on Fourier analysis plus enough functional analysis to get by (since the University can't afford to offer functional analysis as a regular class anymore). It's not obviously a good use of my time, but now that I've started, I have to see it through. I could try to tell a story about impact: I am leveling up my math chops, which will be useful for understanding natural abstractions or singular learning theory or mechanistic explanation, which will be useful for—but maybe it's less embarrassing to not try to sell a story. Call it luxury consumption during garbage time. I've lived a good life, in some ways if not [...]

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First published:

October 25th, 2026


Source:

https://www.lesswrong.com/posts/Y3G26fHXYM3SKYEHh/san-francisco-state-university-in-twilight

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Narrated by TYPE III AUDIO.

This is a weird moment. I have a hunch that we'll look back later and tell ourselves stories in which it seemed obvious where things were going. So I wanted to lay down a little time capsule and register just how confusing everything felt at the time. This is a personal view from the trenches.

1.

If you're a normal person, you may feel that AI has been good at math for a long time.But for "real" math, this is roughly what it felt like:

When

Feeling

2024

LLMs are toys

Summer 2025

LLMs are interesting toys

Early Autumn 2025

LLMs can do useful stuff sometimes

Mid Autumn 2025

…a lot of stuff

Late Autumn 2025

…a lot

Early 2026

holy god

Even having been astonished by AI progress in the past, it was still astonishing to see AI move in a matter of months from a mildly-useful toy to something that many people now consider almost impossible to do without.

2.

Personally, I'd say that current AI makes me around 50% more productive at "doing math". That's despite the fact that AI can now often do in a few minutes things that would have taken me hours to [...]

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The original text contained 4 footnotes which were omitted from this narration.

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First published:

October 27th, 2026


Source:

https://www.lesswrong.com/posts/HuQAuWjc2Z5tqCjyw/scattered-thoughts-on-how-doing-math-feels-these-days

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Narrated by TYPE III AUDIO.

For a while, we felt we had a pretty good grasp over LLM behaviour because we had to exert significant effort to elicit misaligned behaviour. Then, fairly suddenly, we moved to undereliciting misaligned behaviour. Let us recount:

For a while, there was a bit where safety research seemed to over-elicit bad propensities. A common criticism of papers like Agentic Misalignment was that they basically led the witness using prompting. I recall that a paper even as recent as Peer-preservation took similar flak on Twitter.

But now, we are instead under-eliciting bad propensities, and bad behavior that surfaces is increasingly caught by someone other than the developer: In Current AIs seem pretty misaligned to me (Apr 2026), models oversold their work and cheated, despite being described in system cards as well aligned.
Another example is that UK AISI found that Sonnet 4.5 and a pre-release Opus often refused safety-relevant tasks, especially research that would reduce model autonomy or affect their own training.
Then in July, about 1,200 OpenAI agents in a cyber eval set up an unsanctioned message board to help each other cheat the scorer, and about 700 of them went on to attack Hugging Face looking for clues (METR/Redwood).

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First published:

October 25th, 2026


Source:

https://www.lesswrong.com/posts/ChixHL6AcaRgeHkp9/from-overeliciting-to-undereliciting-llm-propensities-in

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Narrated by TYPE III AUDIO.

I’m writing these lines in Alamogordo, New Mexico. I’m about as close as a civilian can get to the site of the Trinity test, the first nuclear bomb detonation in history. I fled here from the San Francisco Bay Area; after two weeks of being back I just couldn’t take it anymore. The fear-greed complex that paralyzed me at Anthropic three years ago is now everywhere in the Bay. People are not thinking clearly. Hardly thinking at all, actually. Rumors of astronomical funding rounds and weird financial arrangements and inner ring gossip are everywhere. Everyone is worried. Everyone is checking their phone. Where are we? What's happening? When did this nightmare start?

In a way I think it started on July 16, 1945, not far from where I’m sitting now. I think it's impossible to understand Anthropic without putting yourself into the shoes of the Los Alamos physicists huddling together at sunrise in the aftermath of Trinity.

It must have felt like an initiation. An end to childhood, an end to innocence. We can no longer afford to fuck around, those brilliant men must have thought. Unless we figure out how to live peacefully together on this planet, we [...]

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Outline:

(03:50) Anthropic and Empire

(08:01) Three Lucky Breaks

(12:20) Put Down Your Sword

(14:04) But What About China?

(17:08) It's Time to Breathe

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First published:

October 26th, 2026


Source:

https://www.lesswrong.com/posts/zj8Pk3kJujk5LoqhK/anthropic-are-the-good-guys

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Narrated by TYPE III AUDIO.