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Earlier quoted context omitted.
Around 300. https://www.vice.com/en/article/n7z5px/twitter-employees-on-...
That's all employees, not just engineers.
Its a hive of misinformation, disinformation and toxicity. Its succinct I guess, but nothing is eloquent or descriptive because of the character limit. And its full of repetitive "filler" information.
Who wants that in a foundational LLM dataset?
Maybe its OK for finding labeled images... But that still seems kidna iffy.
I'll add a dedicated microservice
I've now two scalability problems
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Did you forget that newspapers exist?
How could he? 95% of the "news" on the internet is stuff that's regurgitated from what newspapers and magazines published a day, week, or month ago.
When it comes to news, you get what you pay for.
More and more I'm starting to think "If it lights up, don't trust it."
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Did you forget that newspapers exist?
Both print and online.
Those that remain, outside national papers, are often thin husks of themselves.
A year or so back, the Chicago Sun-Times effectively paid the local NPR affiliate, WBEZ, to take over the paper. That is negative value.
And the competing city daily, the Chicago Tribune is arguably doing worse.
That's in the 3rd largest city and metro region of the US. Many other cities are in similar shape, or have no traditional newspaper journalism at all. There's some coverage through TV & radio, though often it's the local NPR affiliates which seem to do the heavy lifting.
One weekend Russia attacks Russia, next weekend Twitter attacks Twitter.
Also, taking Elon's word at face value for a second... is Twitter really worth scraping for AI training or whatever? Its a hive of misinformation, disinformation and toxicity. Its succinct I guess, but nothing is eloquent or descriptive because of the character limit. And its full of repetitive "filler" information. Who wants that in a foundational LLM dataset? Maybe its OK for finding labeled images... But that stil…
One weekend Russia attacks Russia, next weekend Twitter attacks Twitter.
Also, taking Elon's word at face value for a second... is Twitter really worth scraping for AI training or whatever? Its a hive of misinformation, disinformation and toxicity. Its succinct I guess, but nothing is eloquent or descriptive because of the character limit. And its full of repetitive "filler" information. Who wants that in a foundational LLM dataset? Maybe its OK for finding labeled images... But that stil…
I mean as far as uses for LLMs go that seems to me a pretty realistic one. Mass quick propaganda with little effort. Go for immediate impact, doesn't matter if people look deeper, you're just looking to get a swell of emotional reactions.