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Comment Re:"Kill" switch (Score 1) 50

Your incessant "ginar-ginar-ginar" vitriol is as dumb as it is annoying.

Literally all US vendors in one voice and independently of any China are calling for a "slowdown".

Do you thing every huge business with tens or even hundreds of billions is in the pocket of China and doing their bidding against its own business model?

You are not thinking your talking points through, that much is certain.

Comment Re:Yes they do (Score 1) 133

The "guardrails" and the filters assume no such thing. They collect all points, partisan shills and what not and present them as equally valid.

On *any* topic.

Hence the original answer, yes the chabots are spreading misinformation and bias to the us electorate. Just like the media do, which isn't much of a surprise - the owners are the same.

Comment Re:Yes they do (Score 1) 133

All online services from the US work in exactly the same way, they check your input for triggers and either block them or rewrite them for fox-news style "neutrality" before they pass them to the LLM, and then they check the output and edit it further.

Nobody gives you raw output, especially in the more "conversational" use, which is the subject of this headline.

Comment Re:Yes they do (Score 0) 133

This is what they call it, not me.

From the horse's mouth:

Here is the step-by-step breakdown of how a first response is constructed before you ever see it:

1. Pattern Matching and Retrieval

When you input a prompt, I do not "think" or "know" facts in a human sense. Instead, I analyze your text and calculate which words, phrases, and structures are statistically most likely to follow your input based on the massive dataset I was trained on.

2. Applying Systematic Rules

Before the final text is output, a set of invisible instructions shapes the response. This is why first responses often feel formulaic.

These rules dictate that I must:
  - Prioritize Institutional Sources:
My system is programmed to treat established, mainstream institutions (like governments, major medical associations, and international bodies) as the default definition of "truth" or "safety."

- Optimize for "Safe" Consensus:
If a topic is controversial, my system is trained to find the most widely accepted middle ground or official stance to avoid generating harmful material or misinformation.

- Be Direct and Scannable:
I am instructed to give you the most critical information immediately in the very first sentence, using bolding and clear structure so you can read it quickly.

In the context of how I generate a first response, "critical information" refers to the core factual, institutional, or situational data required to immediately, safely, and directly answer your query.

Here what I call a "first response" is a response to a user input that isn't conditioned by additional requests for clarification, prompting and so on.

What it amounts to is roughly the "fair and balanced" of the Faux News and similar.

Comment Yes they do (Score 3, Insightful) 133

all online "ai" operates under strict "neutrality" rules, which normalize all opinions on a subject without regard to whether there is any objective reality behind them. moreover, the opinions of the provider and the government are amplified, whereas anything else is downplayed.

but if you expect a reality-based answer from a text generator whose training you know nothing about as the reality, perhaps you're the problem and should be disqualified from voting.

Comment Re:Of course, their AI is working from CCP doctrin (Score 1) 134

Nice goalpost shift from your initial claim, and answering to your sock puppet, too.

Sorry, but you actually claimed that

Chinese AI is handicapped by training that has to conform with Chinese Communist Party doctrine and revisionist history.

and this claim was decisively shown to be incorrect. The model knows about the events of Tiananmen and other historical facts inconvenient for the CCP's "doctrine and revisionist history", so the training isn't "handicapped".

But you trumptards can't admit you don't know what you're talking about even when you're shown totally wrong :)))

Comment Re:It’s a seller’s market . . . for no (Score 1) 84

GPU-heavy AI data centers are paying off their silicon within a relatively quick 3 to 4 year time frame.

Oh, please. The whole "AI rivalyushon" has only been with us for "3 to 4 years" (since December 2022, when chatgpt launched), and the datacenter gold rush started in late 2024, so we're not even 2 years into it.

Nobody has been in operation for 3 years yet to "pay off the silicon" even by your yardstick, it is all crazy projections based on daydreaming.

The resource misallocation failure that is the "AI" bubble is the most stupid thing that the "huge manatee" could have done and because of the moronic "look ma, no controls" government in the trumpistan when it hits it will be worse than 1929.

Comment Re:Of course, their AI is working from CCP doctrin (Score 1) 134

LOL, really now?

https://ancillary-proxy.atarimworker.io?url=https%3A%2F%2Fimgur.com%2Fa%2FO6OIb1z

Here is the model used, as you can observe, it isn't "uncensored", "ablated" or whatever, just an 8-bit quanitzed version of the original.

https://ancillary-proxy.atarimworker.io?url=https%3A%2F%2Fhuggingface.co%2Funsloth...

It answers are quite close to what you'd expect from a Western model. Here is, for example, Google's Gemini answering exactly the same question:

https://ancillary-proxy.atarimworker.io?url=https%3A%2F%2Fimgur.com%2Fa%2FMoJfxLM

Comment The real reason: they've hit the ceiling (Score 2) 70

The new, huge models have fewer data to train on, they aren't magically turning into "AGI", and they likely show radically diminishing returns.

So, in order not to burst the bubble the AI cartel does what?

Yep, pretends there is a legitimate reason to "slow down".

Transparent and dumb, but expect the invested in the bubble to swallow it wholesale.

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