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sonofaragorn

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Not true. I've done SRED every year for the past ~7 years. It is work, but there are specialized consultants that do most of it. If the work is truly R&D (which would be the case for a cutting-edge AI company) and you track your work in JIRA or something like that, then it's mostly just writing a few pages describing the efforts.

I get your sentiment, but I think it's important for science communication to adapt to the times. Decades ago (and even as little as one decade ago), most scientists (maybe Hawking being the exception) who would dare appear in these 1hr documentaries would be belittled by the "hardcore" scientists with the same words you used "Science should not be over-simplified like that", "they are not real scientists, they just want to be on TV", etc.

The truth is that young people are mostly on TikTok et al, so this type of content needs to get there.

Rarbg Is No More 3 years ago

are these safe? being clones doesn't really inspire much confidence

rarbg was my go to for years :S

Jaccard Index 3 years ago

what is a children model? I'm curious but can't really follow what you wrote, can you add a bit more context?

Gail.com FAQ 4 years ago

Why keep the domain if you don't plan on monetizing it? What's the point?

They are also saying that departments are affected disproportionately. It's likely much harder for recruiters to find a new job, especially when hiring is being frozen at most companies

Twitter does a have a large "health" department tasked with figuring how to measure and improve the quality of the content and discourse in the platform. I don't have details since I only interviewed for a role in that team, but I do know it exists and it has a large number of PMs, Data Scientists, and Researchers. They have even collaborated with academia on the topic and a recent open RecSys competition (recommender system) was organized by Twitter with their data.

10 Year Smartphone 5 years ago

I think whoever is behind this website has to make it clearer that this is sarcasm. Most people here missed it (including myself).

All these rules determine what it shouldn't recommend. What rules would you use to determine what it should recommend?

Would you agree that these rules will quickly become unwieldy and a pain to maintain? And that these will be personalized to your taste but not to someone else's?

Wouldn't it be great if you didn't have to maintain those rules and if the system were tailored to every user? Congratulations, you've just realized you'd like to use ML/AI.