this post was submitted on 14 Aug 2026
247 points (98.1% liked)
Technology
87184 readers
3951 users here now
This is a most excellent place for technology news and articles.
Our Rules
- Follow the lemmy.world rules.
- Only tech related news or articles.
- Be excellent to each other!
- Mod approved content bots can post up to 10 articles per day.
- Threads asking for personal tech support may be deleted.
- Politics threads may be removed.
- No memes allowed as posts, OK to post as comments.
- 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.
- Check for duplicates before posting, duplicates may be removed
- Accounts 7 days and younger will have their posts automatically removed.
Approved Bots
founded 3 years ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
It doesn’t work like that. The LLM has no way to be “aware” of its own sampling and tokenization, and it can’t choose what token the sampler ends up picking.
You can give it a list of “banned words” or preferred words that match up to tokens in the prompts to skew it some, I suppose, but that would be a really long list. And one would need the dictionary as a “key.”
Read the article and if you still have questions I may be able to answer them
I know exactly how it works. I read the article, and I knew of it beforehand, hence I explained it to someone else in a comment three days ago:
https://lemmy.world/post/50533770/25234461
I’m sorry to jab back, but you hit a button of mine.
Lemmy commenters keep jabbing me with comments like “Clueless. Read the article and get back to me.”
Like yesterday:
https://lemmy.world/post/50595546/25269317
But I'm aware of how sampling works. I knew all about LLM fingerprinting ~two years ago, and I’ve been tinkering with samplers myself for years. I’ve messed with local LLMs trying to make them “aware” of their own sampling many times, and even hacked out a (unsuccessful) experiment where a tiny LLM picks tokens for a larger one.
I’m not trying to be pretentious, I’m not a researcher or expert or anything, but you shouldn’t assume everyone on Lemmy is clueless.
And back on topic… to be clear, I have tried what you are proposing, and even with local LLMs I have more control over, it doesn’t work. They have extremely poor “awareness” of their own logit spread and tokenization, which is why they perform so poorly on any tasks that depends on that.
You can’t tell them “don’t pick the top word” or “give more options in your logit spread” because that part of the process is completely invisible, from their perspective.
To beat it, prompt: don't just use the first word pick, choose options further down list for next word.
Best of luck with your future questions, I hope someone helps you.
Okay.
Fine.
Let's try, right now.
This is DeepseekV4 Flash 0731 loaded locally. Static seed. 0.9 temperature, TopK 5, no other sampling to interfere. Here's a simple prompt, the whole thing in DSV4's raw syntax:
...And would you look at that:
It picks the top word, mostly. Almost like the LLM has no control over its own logit spread and how its sampled. Which kinda makes sense, because it doesn't.
I am happy to try more experiments in this vein, if y'all can think of any any. But I tried a few other prompts like "diversify your logit spread" or "don't be confident about any token you pick," things like that. It always picks The Road Not Taken with no change in logit probabilities distribution, as far as I can tell.
Welp, your username goes on my list of people not to interact with. Wow.
Yes...
Clearly the account doing drive by insults is the mature one...