this post was submitted on 29 May 2026
453 points (98.3% liked)

Technology

85242 readers
3943 users here now

This is a most excellent place for technology news and articles.

Our Rules

  1. Follow the lemmy.world rules.
  2. Only tech related news or articles.
  3. Be excellent to each other!
  4. Mod approved content bots can post up to 10 articles per day.
  5. Threads asking for personal tech support may be deleted.
  6. Politics threads may be removed.
  7. No memes allowed as posts, OK to post as comments.
  8. Only approved bots from the list below, this includes using AI responses and summaries. To ask if your bot can be added please contact a mod.
  9. Check for duplicates before posting, duplicates may be removed
  10. Accounts 7 days and younger will have their posts automatically removed.

Approved Bots

founded 3 years ago
MODERATORS
L3s@lemmy.world
enu@lemmy.world
technopagan@lemmy.world
L4s@lemmy.world
L3s@hackingne.ws
453
Fed up with vibe coders, dev sneaks data-nuking prompt injection into their code - Ars Technica (arstechnica.com)
submitted 1 week ago by hamburgheftig@feddit.org to c/technology@lemmy.world
161 comments fedilink hide all child comments
you are viewing a single comment's thread
view the rest of the comments
[–] CanIFishHere@lemmy.ca 0 points 1 week ago (1 children)

I've already provided two references. Please feel free to post the link supporting that AI has no influence in medicine.

[–] mabeledo@lemmy.world 1 points 1 week ago (1 children)

You haven't answered a single one of my questions.

I'm going to assume that you fell for the hype and know nothing of what you're talking about.

[–] CanIFishHere@lemmy.ca -1 points 1 week ago* (last edited 1 week ago) (1 children)

Right. The NIH: National Cancer Institute is nothing but hype now. You need to expand your sources past Instagram.

https://www.sciencedirect.com/science/article/pii/S0304383526002569

"AI-powered platforms are now accelerating molecular subtyping, refining risk stratification, and supporting individualized therapeutic recommendations by jointly modeling imaging, tissue architecture, and molecular landscapes. Moreover, emerging virtual cell and mechanistic foundation frameworks introduce a new computational paradigm for simulating cellular responses and drug-tumor interactions, offering predictive insights for treatment design and drug discovery."

[–] mabeledo@lemmy.world 0 points 1 week ago (1 children)

Again, CV is not new. Computational biological simulation isn’t new either. More computational power and better algorithms have been a source of significant progress in healthcare for many decades now. If we go back twenty years, protein folding simulation was all the rage, but of course most people outside CompSci hadn’t heard of it.

I call the current AI “hype” because all these advancements have been going on for a while, but most people are catching up only now because they got hooked on marketing material they see on the news.

Anyway, I’m going to paste my message here once again.

Funny that you call mine “ideological” though, since you are the one making claims without any substance, e.g. “it’s only going to get better”. How could you even know? Not even researchers at the very edge do. There have been concerns about the future availability and quality of data. Plenty of researchers have come forward pointing that poisoning a LLM is exceedingly easy. Really, how do you know that “it’s going to get better”? Explain that to me. What do you know that everybody else doesn’t?

How do you even know that AI, as we know it, it’s going to be revolutionary in the near future? Most people only know of technology successes because of survivorship bias, but I’ve been through several revolutions that faded out. How is this one different? And why would you think you’re right, when not even expert researchers are sure?

Now, are you an AI researcher? What do you know about any of this, exactly?

[–] CanIFishHere@lemmy.ca -2 points 1 week ago (1 children)

I have posted multiple references on the use of AI in oncology; you make unsupported claims. 'Plenty of researchers...'. Why not just say 'some people say'.

Thanks. I'm done.

[–] mabeledo@lemmy.world 2 points 1 week ago* (last edited 1 week ago)

Thanks. I'm done.

Of course you are.

Good example of what LLMs are great for, making people suffer from persistent Dunning Kruger.