Apple is not a competitor for anthropic/openai, it’s competitor to nvidia. Latest mac studio is very local AI capable, with 256gb uram and upcoming 512gb, while not terrible inference speed.
They are selling shovels, basically.
Apple is not a competitor for anthropic/openai, it’s competitor to nvidia. Latest mac studio is very local AI capable, with 256gb uram and upcoming 512gb, while not terrible inference speed.
They are selling shovels, basically.


I did exactly that lmao. And I’m not even having anti-AI stance, just the stuff they were telling was boring af and idk why didn’t they just wrap it in AI skill with instructions on how to write AI skills.
Company trainings are complete waste of time, always.
You were lucky knife got stuck in and nobody tried to pull it off before you got the medical attention. The biggest risk is not the pain, it’s loss of blood. Which happens to get worse when you pull it off.


AI analysis of the code flow & AI-assisted debug (placing print statements, reproducing the issue, duping the print into it) transforms some 2-3 day investigations into half a day of work.


It depends on the task. Oneshotting 80% of the new feature and then failing to pick up on details can leave hard part.
But oneshotting even 30% of UI tests based on QA regression means you have 30% of regression covered. Ofc you need to verify if the test is indeed covering the test case, and for a big volume of tests it takes time, but it’s nowhere near what it takes to actually write the tests.


Pretty much my experience and I didn’t even have to do workflows or complex harnesses, I wrote a “dont ask” mode wrapper that gives rights to read/write a work dir & explanation that blockers & questions need to be written in a specific directory, and I listen to this directory with a GUI app that notifies me, then also a stop hook that verifies that that doc is updated when it stops, and has all the items done/blocked.
I did this cause I like the flexibility of a normal agentic chat session.
Recent LLM are smart enough to resolve many problems as is in agentic mode. Really strange to see “it doesnt work” copium instead of fighting for the means of production and looking for a way to have this setup purely local.


It feels so weird to read lemmy, as if I’m living in a different reality. To me, most of the time an agent can oneshot a ticket (if it has a good, non-vague description) or at least do 80-90% that can be fixed with several changes or prompts, and only odd tasks need more manual investigations than that.
Surely you still need a dev oversight and someone needs to do tech plans & lead the projects, but that’s not like anything people experience here.
Syncthing will also propagate removals or bad edits


I find it interesting how they just kept to original gameplay, in a “let’s not break what’s working” way. Thats a design decision you don’t see that often.


The great filter might be likely happen due to some shape of truth in this world that we didn’t yet understand, and understanding which will make you want to quit. Death by knowledge.


Better forbid them banning direct installs tbf. And while at it, do the same for iOS.


Now we need to invent a recursive acronym for this name and it would be perfect
Where did they get 1400Gb storage iphones?


The problem I see is that there is no way to prove the AI was used for the codebase. So unless someone from the team leaks, yeah, you can make an unfair competition.
Lmao reminds me the stat where Larian said that the absolute majority played HUMAN WARRIOR :D


some hacker unleashes malicious AIs to the internet, breaking it apart cause AI keeps finding vulnerabilities in everything and break things faster than humans can fix
corporates build corporate internet and the blackwall, which is AI to fight malicious AIs
Gooooood morning Night City!


People definitely still do play in the streets. Maybe not in America though.
Did this change?