I know at Lemmy we usually don’t read the article title and sure as hell won’t read the actual article, so I’ll just post this here for everyone: nowhere in the article does it say they are laying people off because of AI. It merely states 9000 people will be laid off, and separately MSFT has invested a lot in AI.

A better reframe: huge tech company shifts focus.

Found the daily LLM denial thread.

Yeah that’s a great point – the dataframe is in a sense a class or object standardized for data analysis. Its flexibility (like being able to store arrays or dicts even) obviates the need in most cases for a user-written class.

For me it depends on the use case. If I’m designing something with an interface for someone downstream to use, I’ll usually define (data)classes even if I have a functional interface.

For data science/modeling/notebooks I usually wouldn’t define classes.

I think it also depends on your team; if everyone else is a functional programmer and you’re writing classes or vice versa, this will undoubtedly create frictions.

I can see why Reddit needs to secure the user base. As not accounts proliferate they need to be able to demonstrate verified real users to their advertisers. Unfortunately for privacy, this will be widespread, in that case. I’m opting out.

You may need to work on your jokes :)

Have you considered the possibility that, if you have 2k bookmarks, this isn’t necessarily a self-hosting issue, but rather a bookmark hoarding issue :)

Ah you must be the new hire at my firm, welcome!

I think the post is about the state of agentic coders in 10 years, not the present.

So I installed LineageOS recently. Now that I’ve transferred my passwords and account info I’m quite happy. What will happen from here? Will some apps stop working? If not, is there a problem with just continuing to use the phone as is until I need a new phone (security, eg)?

Thank you for taking one for the team.

Students are now prompting the AI to make it sound like a student wrote it, or putting it through an AI detector and changing the parts that are detected as being written by AI (adding typos or weird grammar, say). Even kids who write their own papers have to do the latter sometimes.

Then the student could just ask the AI to simulate a thesis defense and learn answers to the most likely questions.

The funny thing is, they would actually learn the material this way, through a kind of osmosis. I remember writing cheat sheets in college and finding I didn’t need it by the end.

So there are potential use cases, but not if the university doesn’t acknowledge it and continues asking for work that can be simply automated.

Perhaps some people can’t afford it. I have the luxury of paying for weekly therapy but its probably one of my biggest line item expenses.

Yeah, it’s like me never having alcohol before and walking into a frat party as a freshman. Sometimes it’s better to come prepared.

People who track performance (like METR, a nonprofit) indicate that progress is, if anything, speeding up. Most people’s use case is so simple they can’t detect the difference. However for cases like complex problem solving, agentic tasks, etc you can in fact see significant progress happening. This should be concerning if you think the world isn’t ready for labor displaced by LLMs.

I think this may be a skill issue on your part.

I’m curious about the scientific consensus continually undershooting. At a certain point, if you’re always updating in one direction, shouldn’t you overcorrect a bit?

Better that they cover it than not. And the recent ramp up is worth reporting on, it’s a new level of weaponization compared to previous administrations.