But as they say in the article, their reason for leaving isn't solely the low impressions. It's the low impressions, plus "Musk fired the entire human rights team and laid off staffers in countries where the company previously fought off censorship demands from repressive regimes," plus X's unwillingness to give users more control, consider end-to-end DM encryption, or offer transparent moderation.

It's fair enough that you can discard any bad ideas they generate. But by design, the recommendations will be average, bland, mainstream, and mostly devoid of nuance. I wouldn't encourage anyone to use LLMs to generate ideas if you're trying to create interesting or novel ideas.

https://www.cnbc.com/2020/09/29/two-women-file-sexual-abuse-...

I think it was a desperate lunge away from that toxic brand toward ANYTHING else. Zuckerberg put his money on VR, given the pandemic and the mild success of Oculus.

Betting big on the metaverse in particular was a mistake, but it might have helped keep the Facebook stink off of products like WhatsApp and Instagram, which remain pretty popular among mainstream audiences.

Is that notion supported by this content? The BLS Outlook for most software engineering jobs is most in the "much faster than average" growth range.

But this law would step beyond that. It does require that the car "prevent or limit motor vehicle operation if an impairment is detected."

I'm not a transit safety expert, but that itself seems potentially dangerous - even just limiting speed, if it happens on a highway, could be difficult to handle. And of course, the detection systems will have false positives.

I do not think the author genuinely used an LLM to write the post.

A more common example of the diaeresis would be the name "Zoë" - the "ë" indicates the pronunciation is "zoe-y" (2 syllables) not "zoe" (1 syllable).

https://en.wikipedia.org/wiki/Diaeresis_(diacritic)#English

>While these estimates don’t, and can’t, show you exactly how much organic traffic a website gets, they work incredibly well for comparison. For example, it’s fantastic for learning if your competitors’ websites get more or less organic search traffic than your own.

(https://help.ahrefs.com/en/articles/1863206-what-is-organic-...)

https://www.brennancenter.org/our-work/analysis-opinion/labe...

https://www.nytimes.com/2026/01/28/us/trump-minnesota-protes...

> A lot of the aliases, like Jia Tan, they sound like Asian names, and the published changes are all timestamped in UTC+8, Beijing time. So the signs point to China. And that's why it's probably not China. I mean, why would they make it that obvious? Every other part of the operation has been so meticulous, so cautious.

> And they also worked on Chinese New Year, but not on Christmas. And over the years, there were nine changes that fall outside of the Beijing time into UTC+2, which is a time zone that includes Israel and parts of Western Russia. That's why some experts have speculated that this could be the work of APT29, a Russian-state-backed hacker group also known as Cozy Bear. But again, do we know? No, of course we don't know who it is, and we likely will never know.

Ellipses were never part of the analysis.

"It's not just X, it's Y" definitely seems to qualify today. It's a stale way to express an idea.

I hadn't revisited that essay since LLMs became a thing, but boy was it prescient:

> By using stale metaphors, similes, and idioms [and LLMs], you save much mental effort, at the cost of leaving your meaning vague, not only for your reader but for yourself ... But you are not obliged to go to all this trouble. You can shirk it by simply throwing your mind open and letting the ready-made phrases come crowding in. They will construct your sentences for you — even think your thoughts for you, to a certain extent — and at need they will perform the important service of partially concealing your meaning even from yourself.

[0]: https://bioinfo.uib.es/~joemiro/RecEscr/PoliticsandEngLang.p...

To summarize, they rejected Nvidia's offer because they didn't want one outsized investor who could sway decisions. And "the company was also able to turn down Nvidia due to its stable finances. Hugging Face operates a 'freemium' business model. Three per cent of customers, usually large corporations, pay for additional features such as more storage space and the ability to set up private repositories."

> The U.S. used to be sort of the default, the no brainer, option. If you got an offer from a top U.S. university, this was like almost the best thing that could happen to you as an academic ... If it's just a less welcoming, atmosphere for science in general here, the best and brightest may not automatically come to the US as they have for decades.

https://www.youtube.com/watch?v=skWt_PZosik