Nailed it.

"Two Refugees, Both on Poland’s Border. But Worlds Apart." nyti.ms/3tZiZP5 Albagir was punched in the face, called racial slurs ... Katya wakes up every day to a stocked fridge and fresh bread on the table ...

Agree with Aaron Levie on this one wholeheartedly. Call me a slow learner but I don't see enough real issues being solved with Web3 for all the hype.

As Russians look to finally take Mariupol - amid unconfirmed claims of chemical weapons use - its worth reflecting that a Facebook group for relatives looking for missing loved ones now has 140k members.

Thoughtful and elucidating. Ideas are indeed Powerful, and hence, can also be Dangerous.

Data is the attractor here. Apps will be where the data is, not because it is the best solution, but because of the layers of governance and security that people get comfortable with. All data apps will run on one of 5 data platforms - 3 clouds + Snowflake + Databricks.

We need solutions, not just "no gun control" nytimes.com/news-event/sho…

TIL.

"You have to be willing to open black boxes" True for all systems as you scale. Glad Neeva is talking about what's under the hood.

SGD is the worst type of optimizer — except for all the others that have been tried.

The next bump up ↗️ in *maternal mortality* is here. Time to bring it down ↘️

We thought we were onto something when we were building DistBelief and writing this paper and we were. Amazing looking back a decade later. Great working with Jeff Dean Andrew Ng Quoc Le and the whole Brain Team.

AI enables entirely new experiences. Just as Cloud and Mobile did over the last two decades. This is the decade of AI.

Next are AR and VR but they have to wait for the next decade.

Small changes => big returns. Find the right leverage points.

Awesome result with #AlphaTensor. Anything we can gamify, DeepRL is ready to go.

Is the era of massive AI model growth over? We got the last 1000X from better compute & smaller number formats. The path to the next 1000X isn't so clear... escriboergosum.substack.com/p/1000x

Each language has a place and time. Java brought value in speeding up project times, and enabling more developers. Spark in C++ (Photon) is a lot more performant, but not many devs can do that well. Now folks want to rewrite golang (new Java) code in Rust (new C++)!

Great work by ONNX Runtime Web team enabling Whisper in the browser!

LSTMs were the early language models we scaled up with DistBelief back in 2013, well before TensorFlow, great to see a retake on that combining it with newer ideas. Evolution at work!