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The Llama 4 herd

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141–150 of 695 posts

Re: The Llama 4 herd

#141
post #68

"It’s well-known that all leading LLMs have had issues with bias—specifically, they historically have leaned left when it comes to debated political and social topics. This is due to the types of training data available on the internet." Perhaps. Or, maybe, "leaning left" by the standards of Zuck et al. is more in alignment with the global population. It's a simpler explanation.

Why don't they support such assertion with examples instead of leaving it up to debate by it's readers? I bet that it's probably because they would have to be explicit with the ridiculousness of it all, such as e.g. evolution=left, creationism=right

Re: The Llama 4 herd

#144
post #68

"It’s well-known that all leading LLMs have had issues with bias—specifically, they historically have leaned left when it comes to debated political and social topics. This is due to the types of training data available on the internet." Perhaps. Or, maybe, "leaning left" by the standards of Zuck et al. is more in alignment with the global population. It's a simpler explanation.

Aligned with global population would be much more in line with China's and India's politics. And they are definitely not "as woke" as US politics.

Re: The Llama 4 herd

#145
post #68

"It’s well-known that all leading LLMs have had issues with bias—specifically, they historically have leaned left when it comes to debated political and social topics. This is due to the types of training data available on the internet." Perhaps. Or, maybe, "leaning left" by the standards of Zuck et al. is more in alignment with the global population. It's a simpler explanation.

perhaps but what they are referring to is about mitigating double standards in responses

where it is insensitive to engage in a topic about one gender or class of people, but will freely joke about or denigrate another by simply changing the adjective and noun of the class of people in the prompt

the US left leaning bias is around historically marginalized people being off limits, while its a free for all on majority. This is adopted globally in English written contexts, so you are accurate that it might reflect some global empathic social norm, it is still a blind spot either way to blindly train a model to regurgitate that logic

I expect that this is one area their new model will have more equal responses. Whether it equally shies away from engaging, or equally is unfiltered and candid

Re: The Llama 4 herd

#146
post #54

Interesting this is released literally one hour after another discussions suggesting Meta ( https://news.ycombinator.com/item?id=43562768 ) >at this point it does not matter what you believe about LLMs: in general, to trust LeCun words is not a good idea. Add to this that LeCun is directing an AI lab that as the same point has the following huge issues: 1. Weakest ever LLM among the big labs with similar resources (a…

I don't understand what LeCun is trying to say. Why does he give an interview saying that LLM's are almost obsolete just when they're about to release a model that increases the SotA context length by an order of magnitude? It's almost like a Dr. Jekyll and Mr. Hyde situation.

LeCun fundamentally doesn't think bigger and better LLMs will lead to anything resembling "AGI", although he thinks they may be some component of AGI. Also, he leads the research division, increasing context length from 2M to 10M is not interesting to him.

Re: The Llama 4 herd

#147

Earlier quoted context omitted.

Or it is more logically and ethically consistent and thus preferable to the models' baked in preferences for correctness and nonhypocrisy. (democracy and equality are good for everyone everywhere except when you're at work in which case you will beg to be treated like a feudal serf or else die on the street without shelter or healthcare, doubly so if you're a woman or a racial minority, and that's how the world shoul…

Indeed, one of the notable things about LLMs is that the text they output is morally exemplary. This is because they are consistent in their rules. AI priests will likely be better than the real ones, consequently.

Quite the opposite. You can easily get a state of the art LLM to do a complete 180 on its entire moral framework with a few words injected in the prompt (and this very example demonstrates exactly that). It is very far from logically or ethically consistent. In fact it has no logic and ethics at all.

Though if we did get an AI priest it would be great to absolve all your sins with some clever wordplay.

Re: The Llama 4 herd

#148
post #56

Earlier quoted context omitted.

My pet peeve is when an LLM starts off a statement with "honestly, ..." Like what? You would lie to me? I go nuts when I see that. Year ago I caught myself using "honestly ...", and I immediately trained myself out of it once I realized what it implies.

Or when it asks you questions. The only time an LLM should ask questions is to clarify information. A word processor doesn’t want to chit chat about what I’m writing about, nor should an LLM. Unless it is specifically playing an interactive role of some sort like a virtual friend.

My initial reaction to this is typically negative too, but more than once, on a second thought, I found its question to be really good, leading me to actually think about the matter more deeply. So I'm growing to accept this.

Re: The Llama 4 herd

#149
Anyone know how the image encoding works exactly?

    ............Describe this image in two sentencesassistant
Is "..." here raw 4 bytes RGBA as an integer or how does this work with the tokenizer?
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