Meets some of the requirements of !taneggs@lemmy.ca

• [X] prey animal
• [X] mammal
• [ ] lives in a barren rocky landscape
• [X] looks like a tan egg

They look much happier in their current habitat

Biology majors: intense focus

Computer Science Majors: Lost their mind

I actually sent a bunch of prompts through image generators till it gave something close to what I wanted

Using generative AI to try and visualize generative AI

It sounds like some weird ritual that someone scratched into a notebook.

𝗯𝗮𝗰𝗸 𝗼𝗳 𝗽𝗿𝗶𝗻𝘁𝗲𝗿?? ｕｎｄｅｒ ｂａｔｔｅｒｙ, m͟u͟s͟t͟ f͟i͟n͟d͟ k͟e͟y͟s͟

The message:

"I try to make my merge commit messages be somewhat “cohesive”, and so I often edit the pull request language to match a more standard layout and language. It’s not a big deal, and often it’s literally just about whitespace so that we don’t have fifteen different indentation models and bullet syntaxes. I generally do it as I read through the text anyway, so it’s not like it makes extra work for me.

But what does make extra work is when some maintainers use passive voice, and then I try to actively rewrite the explanation (or, admittedly, sometimes I just decide I don’t care quite enough about trying to make the messages sound the same).

So I would ask maintainers to please use active voice, and preferably just imperative."

Giving an example of a bad commit message, Torvalds provided this example: “In this pull request, the Xyzzy driver error handling was fixed to avoid a NULL pointer dereference.” He believes this should have been written as follows: “This fixes a NULL pointer dereference in …”

why do we need this fancy ‘C’ language, when we could just write everything in assembly?

No, only pure machine code. Anything else is rude. If we’re going to get help from computers, then the least we can do is speak their language

I remember hearing about Cyanogen way back when, didn’t realize LineageOS was forked from it

I remember reading an update which said that the company went back on most (or all?) the negative changes and it’s ok to use again.

I didn’t confirm it myself, but that’s part of why the alternatives aren’t seeing as much development now

You can link them in the body (or even in comments)

You use this format:

![alt-text](URL)

For example

![Cat napping in the sun](https://example.com/cat-nap.jpg)

Thank you!

Can anyone explain this one?

There’s also this!

!learningrustandlemmy@lemmy.ml

@sorrybookbroke@sh.itjust.works @maegul@lemmy.ml can probably explain more

This is part of the problem for me. I can’t dismiss the popup unless I hang up, and I don’t want to do that in case my number gets marked as “active”.

So I sit there and wait till I can use it again.

Also I appreciate the detailed alt text :)

Canada, we face the same issues as the US for telecom stuff

I don’t think anyone answers the phone now, unless they recognize the number.

Most of the calls I get are

• spam
• spam
• someone sent me a time sensitive message, so they ring me once to respond faster
• spam

You can even insert it into the comment

Like this:

![](https://i.imgur.com/eacJmNr.mp4)

This is beautiful :)

Some Lemmy compatible platforms do stuff like that

• allow you to see both Lemmy style content and Microblog style content in the same platform
• allow you to follow individual users.
• include hashtags that federate out so the Lemmy posts appear under that hashtag for microblog users

Something like that could work, as long as it’s an additional option and not a change to how communities currently work.

Mixing hashtags with communities sounds like a bad idea because of how much content would come in at once. For example, there are a few RSS feed communities and already those ones are overwhelming to keep up with. Most posts sit with no comments and 1 vote, which doesn’t work for the vote & comment based way we organize content here.

We can improve how we federate these platforms together, but I prefer the tagging method. That way it’s a conscious decision to post a microblog post in a community.

Who should read this

Do you want to understand exactly how AlphaFold3 works? The architecture is quite complicated and the description in the paper can be overwhelming, so we made a much more friendly (but just as detailed!) visual walkthrough.

This is mostly written for an ML audience and multiple points assume familiarity with the steps of attention. If you’re rusty, see Jay Alammar’s The Illustrated Transformer for a thorough visual explanation. That post is one of the best explanations of a model architecture at the level of individual matrix operations and also the inspiration for the diagrams and naming.

There are already many great explanations of the motivation for protein structure prediction, the CASP competition, model failure modes, debates about evaluations, implications for biotech, etc. so we don’t focus on any of that. Instead we explore the how.

How are these molecules represented in the model and what are all of the operations that convert them into a predicted structure?

https://xkcd.com/838/