Around 364 million online profiles and their chats & file transfers get processed daily. Then these accounts get linked to a real ID/person. The data is then distributed over police stations per city/province to separate operators databases with the same surveillance network name

GenZ job expectations 2020: day trader 2021: flippin' burgers at Wendy's

Rental Market Tracker: Rents Are Growing Half as Fast as They Were Six Months Ago redfin.com/news/redfin-re…

What happens when you ask an AI to generate "Human Evolution." This is terrifying.

This is amazing. Due to the backlash from Chinese fans seeing unmasked crowds in Qatar, Chinese TV is now replacing live crowds shots during games and instead cutting to close-ups of players and coaches.

Interesting paper

These women handing out water and food to migrants traveling through Mexico on their way to the United States Imagine living out the life experience of basic survival and one day deciding to set off for the potential of something better, anything better, aboard La Bestia, also

In 2008 the banks got rich, went bust, and got bailed out. It was unfair, so we created a regulatory system to prevent it from happening. SVB is a minor bank. We could have let the process play out and show how the system has been improved. But it seems nothing has changed

Convinced wee are witnessing the birth of a new kind of computer. From: Memorizing Transformers arxiv.org/pdf/2203.08913…

Great to see AI technological advances is providing value to foundational research as well. Terence Tao on "Machine Assistant Proof": youtube.com/watch?v=AayZuu…

Thank you for the tutorial!

Excited to share our latest work Manifest AI on a new linear transformer architecture that has potential to outperform standard softmax transformers! Check it out here manifestai.com/articles/symme…

Towards understanding DNN from first principles

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Balance is the key. We show, in our latest work, that both quadratic attention and linear-attention-based architectures are not fit for long context jobs because they spend way too much of their flops budget on either state or weight.

The massive performance upgrades of power attention are clearly visible at the 1.6B parameter scale on 32k-length documents. The improvement is due to better in-context learning.