@Armand1@lemmy.world
member since 15 Aug 2023 09:02
comments
- on World-first biological data center packs 16 mn living human neurons in c/technology@lemmy.world · 12 Sep 2026
-
on Channel 5 shares their email list with Hunter Biden who used it to pump a crypto scam apparently in c/privacy@lemmy.ml · 8 Sep 2026
If there are any EU citizens in there, that might be illegal.
-
on 80% of developers find AI coding more addictive than helpful in c/technology@lemmy.world · 22 Aug 2026
I can kind of relate. There are a lot of parts of coding I find a little boring.
- Once the interesting problem is solved and all you need to do is follow through
- Large scale refactorings in ways too complicated for an IDE.
- Fixing annoying dependency / migration issues
When you use an expensive AI agent, like Claude, it can nowadays handle these tasks competently, to the point where I only need to correct small things here and there.
When you give these tasks to an AI agent, it feels a bit like delegating to a junior, but without the guilt of giving someone a menial or boring task. That allows me to work on stuff I find more interesting. To me, THAT’S why it’s adictive.
However, this isn’t without cost. First, there’s the societal costs: Environmental, centralization of power, contribution to hardware shortages and a bubble
Second, there are more personal costs. You’ll come to rely more and more on these tools, and your skills will rust. You may end up avoiding learning things about a codebase because you delegate it away.
It’s a tempting tool. One which in my experience can genuinely help, but is easy to misuse.
-
on Anti-AI fonts are useless and harmful in c/technology@lemmy.world · 21 Aug 2026
I guess my point is for the problems it causes its probably not worth doing, balancing the two?
Making websites that no one needs to visit but poison or trap AI scrappers would likely be a better way to fight back.
-
on Anti-AI fonts are useless and harmful in c/technology@lemmy.world · 21 Aug 2026
TLDR; It fucks up accessibility for blind people (amongst others).
Its also pretty futile imo. AI is reading billions of words from books and posts. A handful of users obfuscating their posts is not going to do anything.
-
on Anthropic are really confident in Claude Code's auto mode, to the point that they are making it the default setting for new sessions in most Claude Code plans starting on August 14th. in c/technology@lemmy.world · 9 Aug 2026
So if I remember correctly, what happens with auto mode is they run a second smaller LLM called the “classifier” to evaluate the tool uses of the main one.
I’ve used auto mode at work now for many months, and it approves most things because most things Claude does are reasonable.
Once or twice I have seen it reject Claude. I can’t remember the exact scenario, but I had asked Claude to diagnose an issue but not fix it yet, and when later on it tried to make the change the classifier rejected it, giving the reason that what it was trying to do did not match my request.
In my opinion, the trick to using auto mode safely here is to:
- Commit and push your changes before handing over the reins (it rarely commits or pushes without you telling it to, especially if you have never asked in that session).
- Don’t give it access to things it shouldn’t have access to or that can do significant damage
- Don’t give ambiguous prompts.
- Never use LLMs against untrusted code or files, as it may contain prompt injections.
-
on Bytedance is training an AI model with up to ten trillion parameters: That's three times the size of Moonshot's Kimi K3, currently the largest Chinese model. in c/technology@lemmy.world · 7 Aug 2026
Having run models locally, RAM use seems to be almost directly proportional to number of parameters. 8 Billion parameters requires approx 8GB of VRAM at 1/4 precision.
Therefore, if this pattern holds you somehow need 10 Terabytes of VRAM at 4K and 40 Terabytes at full precision.
I think I saw some estimates that Claude’s Opus models may be and Opus model equivalents may be at around 100B parameters (100-400GB VRAM).
TLDR its clear why RAM is so expensive.
Lovely. Man-made horrors beyond our comprehension.