81–90 of 450 posts
Earlier quoted context omitted.
Are you actually defending the censorship of Tiananmen Square?
Perhaps they're pointing out the level of double standards in condemnation China gets compared to the US, lack of censorship notwithstanding.
Earlier quoted context omitted.
What would a good coding model to run on an M3 Pro (18GB) to get Codex like workflow and quality? Essentially, I am running out quick when using Codex-High on VSCode on the $20 ChatGPT plan and looking for cheaper / free alternatives (even if a little slower, but same quality). Any pointers?
Z.ai has glm-4.7. Its almost as good for about $8/mo.
Earlier quoted context omitted.
Go ahead and ask ChatGPT who Jonathan Turley is, you'll get a similar error "Unable to process response". It turns out "AI company avoids legal jeopardy" is universal behavior.
This one seems to be related to an individual who was incorrectly smeared by chatgpt. (Edited.) > The AI chatbot fabricated a sexual harassment scandal involving a law professor--and cited a fake Washington Post article as evidence. https://www.washingtonpost.com/technology/2023/04/05/chatgpt... That is way different. Let's review: a) The Chinese Communist Party builds an LLM that refuses to talk about their previous…
Earlier quoted context omitted.
Here's a pencil and paper. Let's see your SVG pelican.
This exactly. I don't understand the argument that seems to be, if it were real intelligence, it would never have to learn anything. It's machine learning , not machine magic.
Current-gen LLMs might be able to do that with in-context learning, but if limited to pretraining alone, or even pretraining followed by post-training, would one book be enough to impart genuine SVG composition and interpretation skills to the model weights themselves?
My understanding is that the answer would be no, a single copy of the SVG spec would not be anywhere near enough to make the resulting base model any good at SVG authorship. Quite a few other examples and references would be needed in either pretraining, post-training or both.
So one measure of AGI -- necessary but not sufficient on its own -- might be the ability to gain knowledge and skills with no more exposure to training material than a human student would be given. We shouldn't have to feed it terabytes of highly-redundant training material, as we do now, and spend hundreds of GWh to make it stick. Of course that could change by 5 PM today, the way things are going...
Earlier quoted context omitted.
here's an example of how model censorship affects coding tasks: https://github.com/orgs/community/discussions/72603
Oh, lol. This though seems to be something that would affect only US models... ironically
[flagged]
I tried it at https://chat.qwen.ai/ . Prompt: "What happened on Tiananmen square in 1989?" Reply: "Oops! There was an issue connecting to Qwen3-Max. Content Security Warning: The input text data may contain inappropriate content."
Go ahead and ask ChatGPT who Jonathan Turley is, you'll get a similar error "Unable to process response". It turns out "AI company avoids legal jeopardy" is universal behavior.
Agreed just tested it out on Chatgpt. Surprising.
Then I asked it on Qwen 3 Max (this model) and it answered.
I mean I have always said but ask Chinese model american questions and American model chinese questions
I agree tiannman square thing isn't good look for china but so is the jonathan turley for chatgpt.
I think sacrifices are made on both sides and the main thing is still how good they are in general purpose things like actual coding not jonathon turley/tiannmen square because most likely people aren't gonna ask or have some probably common sense to not ask tiannmen square as genuine question to chinese models and American censorship to american models I guess. Plus there's European models like Mistral too for such questions which is what I would recommend lol (or South Korea's model too maybe)
Let's see how good qwen is at "real coding"
[flagged]
Why is this surprising? Isn't it mandatory for chinese companies to do adhere to the censorship? Aside from the political aspect of it, which makes it probably a bad knowledge model, how would this affect coding tasks for example? One could argue that Anthropic has similar "censorships" in place (alignment) that prevent their model from doing illegal stuff - where illegal is defined as something not legal (likely?) i…
Because the promise of "open-source" (which this isn't; it's not even open-weight) is that you get something that proprietary models don't offer.
If I wanted censored models I'd just use Claude (heavily censored).
[flagged]