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They sure will. Here's a quick analysis of how, from my perspective as someone who studies societal impacts of natural language technology:


First, some guesses about system components, based on current tech: it will include a very large language model (akin to GPT-3) trained on huge amounts of web text, including Reddit and the like.

It will also likely be trained on sample input/output pairs, where they asked crowdworkers to create the bulleted summaries for news articles.

The system will be some sort of encoder-decoder that "reads" the news article and then uses its resulting internal state to output bullet points. Likely no controls to make sure the bullet points are each grounded in specific statements in the article.

(This is sometimes called "abstractive" summarization, as opposed to "extractive", which has to use substrings of the article. Maybe they're doing the latter, but based on what the research world is all excited about right now, I'm guessing the former.)
Time for a little thread on SolarWinds $SWI which has been hacked by Russia’s FSB, APT P29, commonly known as Cozy Bear.

The hackers embedded code that allows access to databases of the many clients SolarWinds sells to, including USG & 425 of the Fortune 500.

🧸

Sunday, Arapaho was kind enough to tag me in on the breaking development.
I’ll share her great thread, then dive into some breaking news, then wrap with a bit of info from investor analysts.


Long story short, this is a 🚨 DISASTER OF EPIC PROPORTIONS 🚨.

General McCaffrey is not a word mincer.
He’s directly calling out Trump here. 🆘


Over at AP News, Frank Bajak is not mincing words, either.


Went to check in on my fave datasec guy and it turns out Chris Vickery is on Zev’s show tonight. It’s an hour long so I’ll post it now and screen it later if I can stay awake that long. 🥱