I still contend that this sort of task is uniquely positioned to show off LLMs. The idea that they’ll turn into agents that can do real-world tasks remains a fantasy. Despite how impressive this is, they’re losing money and have no real path to profitability.

I’m curious. What would it take to change your mind? I’d like to check in with you in two years to see what you think then.

It’s nice to sit down and just write about your week, like talking to an old friend/family member about what’s new. You never know what comes out. I use an old Kindle Scribe that I don’t do anything else with. It sounds like you have privacy concerns?

Iceland had the highest profile result so perhaps it may seem that way, but many countries investigated and prosecuted individuals. In addition, it caused the entire global financial system to redouble AML efforts.

I’m sure the community will find something to hate about this as well, since this isn’t an article about an LLM failing at something.

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.

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 :)

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.

I’ve been running Gemma3 4b locally on ollama and it’s useful. I’m thinking about applications where a multimodal model could receive video or sensor feeds (like a security can, say).

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?