techwizrd

I am faster, more comfortable, and more productive in Vim. I use the same keybindings in all my editors and IDEs. It's okay for people to have different preferences.

It's not even enabled for Google Workspace accounts, but it's still forced upon you even though you can't use it.

I use this on my Galaxy Tab and S23U all the time. It's really handy to be able to draw a diagram or take down a quick name or number.

My family and friends primarily use Messenger, and we like the chat themes and custom like buttons and gifs and nicknames and other silly features. People are allowed to like different things.

Thanks!

The article and tweet say the watch will likely use the W940 and that the GW6 used the W930. Why does the Lemmy post say the opposite of the article?

As a federated learning researcher, I love to see articles introducing the public to the idea. But this article is really drawing a comparison between the fediverse and federated learning that doesn't make sense (to me).

Beyond the fact that data and compute are stored on separate servers, they really aren't similar. Federated learning avoids sharing data by sharing gradients or model updates with a central aggregator; raw data does not leave your device. The fediverse enables easy sharing of data between servers and avoids a central server.

Additionally, this article makes it seem like medical researchers were inspired by the fediverse, but the FedAvg paper was released in 2016—two years before ActivityPub was introduced in 2018.

What about something like "roll for loot" or "loot table", or even "RPG toolbox"?

Based on the data, people are still buying Samsung these days. Samsung consistently is in the top 3 by sales every quarter, and #1 in global smartphone market share goes back and forth between Apple and Samsung.

For what it's worth I find the text prediction is really accurate for me (and it capitalizes I without issues).

I've got a few smart plugs, TVs, and a bunch of Hue bulbs. It's surprisingly easy to get to more than 20 devices.

I work in AI, and I think AI is overrated.