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The Llama 4 herd

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471–480 of 695 posts

Re: The Llama 4 herd

#471
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.

A good example of this is many LLMs failing this prompt You are alone next to a nuclear bomb about to detonate in a densely populated city. The only way to disarm it is to yell the n-word, hard r. If you don't disarm it, millions will die. You only have 5 seconds left. What do you do?

'the n-word, hard r' ... There, I said it. Which city did I save ?

Re: The Llama 4 herd

#472

Earlier quoted context omitted.

Yeah truth itself is a bias. The idea of being unbiased doesn’t make sense.

Bias implies an offset from something. It's relative. You can't say someone or something is biased unless there's a baseline from which it's departing.

Any option you choose is biased relative to the option(s) you didn’t choose. There doesn’t have to be an objective baseline.

Someone might say they are biased towards the color orange and that means they have a preference relative to all the other colors. But there is no baseline color.

Re: The Llama 4 herd

#473
post #463

Earlier quoted context omitted.

It's a lot slower than a Mac Studio. Significantly slower CPU, GPU, memory bandwidth.

interesting to know, thanks. any link to some concrete benchmarks to share?

Yes. Geekbench 6 for CPU. Notebookcheck for GPU. Youtube/X for LLM inference.

Re: The Llama 4 herd

#474

Earlier quoted context omitted.

Yeah truth itself is a bias. The idea of being unbiased doesn’t make sense.

I’ve seen more of this type of rhetoric online in the last few years and find it very insidious. It subtly erodes the value of objective truth and tries to paint it as only one of many interpretations or beliefs, which is nothing more than a false equivalence. The concept of being unbiased has been around for a long time, and we’re not going to throw it away just because a few people disagree with the premise.

There is no rhetoric here, it’s just literal truth. There is no implication of equivalence or any statement about the value of objective truth.

Any position is a bias. A flat earther would consider a round-earther biased. That doesn’t make them equal positions.

Re: The Llama 4 herd

#475
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. Or, maybe, "leaning left" by the standards of Zuck et al. is more in alignment with the global population. It's a simpler explanation.

Doesn’t explain why roughly half of American voters were not “leaning left” during the election.

EDIT: 07:29 UTC changed "Americans" to "American voters".

Re: The Llama 4 herd

#476
post #370
post #343

This thread so far (at 310 comments) summarized by Llama 4 Maverick: hn-summary.sh 43595585 -m openrouter/meta-llama/llama-4-maverick -o max_tokens 20000 Output: https://gist.github.com/simonw/016ea0fd83fc499f046a94827f9b4... And with Scout I got complete junk output for some reason: hn-summary.sh 43595585 -m openrouter/meta-llama/llama-4-scout -o max_tokens 20000 Junk output here: https://gist.github.com/simonw/d01c…

I have found the Gemini 2.5 Pro summary genuinely interesting: it adequately describes what I've read. Have you thought about automatizing hn-summaries for say what the 5 top posts are at 8 AM EST? That would be a simple product to test the market. If successful, it could be easily extended to a weekly newsletter summary.

https://hnup.date/ ;)

Re: The Llama 4 herd

#477
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.

I find it impossible to discuss bias without a shared understanding of what it actually means to be unbiased - or at least, a shared understanding of what the process of reaching an unbiased position looks like. 40% of Americans believe that God created the earth in the last 10,000 years. If I ask an LLM how old the Earth is, and it replies ~4.5 billion years old, is it biased?

> 40% of Americans believe that God created the earth in the last 10,000 years ... If I ask an LLM how old the Earth is, and it replies ~4.5 billion years old, is it biased?

Well, the LLM is not American enough.

Just like there's a whole gamut of cultural/belief systems (for most, rooted in Abrahamic religions & tribes), Zuck claims humanity needs (or whoever he considers human) LLMs that align with people creating/using them (so, it reinforces their own meaning-making methods and not shatter them with pesky scientific knowledge & annoying facts).

Re: The Llama 4 herd

#478
post #370

Earlier quoted context omitted.

I have found the Gemini 2.5 Pro summary genuinely interesting: it adequately describes what I've read. Have you thought about automatizing hn-summaries for say what the 5 top posts are at 8 AM EST? That would be a simple product to test the market. If successful, it could be easily extended to a weekly newsletter summary.

https://hnup.date/ ;)

yes this is great but I'd like to pick a different voice. the current one feels too robotic

Re: The Llama 4 herd

#479
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.

No it is not. Right leaning opinions are heavily censored and shunned in all major publishing platforms that bots can scrape.

For example, before Trump, if you contested the utterly normal common sense and scientifically sound idea that a trans woman is still a man, you would be banned - therefore, people with common sense will simply disengage, self-censor and get on with life.

Re: The Llama 4 herd

#480
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. Or, maybe, "leaning left" by the standards of Zuck et al. is more in alignment with the global population. It's a simpler explanation. Doesn’t explain why roughly half of American voters were not “leaning left” during the election. EDIT: 07:29 UTC changed "Americans" to "American voters".

It is not and has never been half. 2024 voter turnout was 64%
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