Comment by arkadiytehgraet
21 hours ago
> Feelings
Nice gaslighting, Anthopic shill. No one said a word about feelings, only you (to derail the conversation). People reported their own experience and frustration with the model being unable to complete tasks they previously could. I said, get a better playbook before coming back. Or is it the best LLMs can do for now? Sad, then.
> No data
There is data, which you try to gaslight into being "feelings", Anthopic shill.
> Stated simply: If you were being served a quant, you'd be able to tell by looking at the token distribution, latency, and TPS.
Did you just repeat what you said before while ignoring the actual meaning of the words and my explanation of what YOU wrote? Is it what LLM told you to do, Anthropic shill? And you claim I have no substance. Maybe spend a week or so getting educated, before blindly copying and pasting LLM output, Anthropic shill?
> I get paid by a FAANG
Yeah, in your dreams maybe, Anthropic shill. I did read your comment history, and this is likely part of the story you try to build around your Anthropic shilling persona. Not a single fact that would prove that and believe me, I tried looking for it. Only endless claims of "I work at a FAANG" (no one who actually works here writes it like this).
> I use Anthropic products heavily
This is obvious, as 90% of your comments are LLM generated, Anthropic shill.
> calling people shills
Clanker, I called only you a shill, not people, tell your LLM to update its context. And I called you shill not because of any arguments, but because of your comment history unapologetically shilling for Anthropic and peddling LLM hype.
> arguments are disproven
You ignored half of my arguments, and for the rest you just repeated what you wrote before, not even understanding what the words you typed meant. Nice gaslighting, Anthropic shill.
> insulting
And you said you were not offended. Once again, Anthropic shill, being called a shill is not an insult. This is your fate, to be called an Anthropic shill, while you are on their payroll, astroturfing online communities with your LLM-bullshit peddling. Or do you expect being a propagandist to be a pleasant experience? People with no morals like you coming into this forum spreading their employer's bullshit deserve all the hate they get and more.
> you're ngmi. Hope you're already independently wealthy.
Your LLM outputs the same thing as in other comment for no good reason. Can't Anthropic afford good models for its shills, or is it the best SOTA can do now?
I would recommend you abandon this account, because it's now burned for all shilling intents and purposes.
Again, you're just interpreting anything that goes against the "AI bad" grain as shilling.
> There is data
Please show it.
> while ignoring the actual meaning of the words
It was an incoherent mess of insults, so I am still not sure what you're trying to say.
> Yeah, in your dreams maybe
So now I'm lying about my employment on an anonymous forum for... what, exactly? If you are actually this conspiratorial IRL, get help.
> Again, you're just interpreting anything that goes against the "AI bad" grain as shilling.
Once again, putting "AI bad" into my words. No, Anthropic shill, this is not what I am saying. Is your LLM malfunctioning or are you not really getting it? Stop gaslighting, Anthropic shill, and try to stick to the actual words I am saying. I understand that this is hard for you, because then you would have no real argument to make, but please try, Anthropic shill.
> Please show it.
I used an LLM to count actual experiences of people reporting their experience with Opus 4.6 being degraded. There are literally several hundreds of such data points. This is data. People, who are employed and actually use LLMs for coding, unlike you, Anthropic shill, who uses it only to poison online communities. Are you really going to disregard all that to claim it is mass-psychosis or something? I guess you would, Anthropic shill, because that's your job, to peddle bullshit LLM-hype unbased on anything in reality.
> It was an incoherent mess of insults, so I am still not sure what you're trying to say.
Repeat after me, Anthropic shill: being called a shill is not an insult. You are a shill, stop being obtuse and at least take some pride in your work of promoting LLM-hype. So once again you are providing nothing to the conversation except for baseless accusations of insulting, which I did not do, and refuse to answer to the actual arguments I made. I can provide it again, but you would likely ignore it because it just showcases how you are clueless about the topic.
Your words, not mine:
> Third, and most importantly, the actual output measurably changes. Quants have a lower latency, higher TPS, and different token distribution.
I asked if you understood what "different token distribution" meant. I can tell you what it means: models performing worse at coding tasks. So people report models being worse at coding tasks, YOU write that indeed quantization leads to that and then just "forgot" about it? Nice level of "objective" discussion, Anthropic shill.
> So now I'm lying about my employment on an anonymous forum for... what, exactly?
It is not anonymous forum, as much as you would have liked it to be, so that your shilling could not be dismissed as easily, Anthropic shill. For what? So that people would fall for the bullshit you are peddling. Are you really this dense, Anthropic shill?
I must admit I skimmed most of your comment because it is largely an incoherent rant, but I will address some points:
> This is data.
Nope. Because frequency bias is a thing. If you hear on Twitter "model X got nerfed," your brain will look for that pattern and notice it more than usual. This will then confirm your suspicion, which leads to a vicious cycle. Then you tell your friends and the same phenomenon repeats.
None of this requires the model to get worse. It's a well understood psychological phenomenon.
> I can tell you what it means: models performing worse at coding tasks. So people report models being worse at coding tasks
The perception of a model performing worse at some coding task is not what "different token distribution" means. You should ask AI to explain my comment ;)
Latency and TPS can also tell you if you're getting a quant.
Anyways you should really get some help. Praying for you!
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