4 ms·

What's the point of 150 pages description of a model that's going to be replaced in a couple months? Who even reads this? I know it's cheap to generate text wit

What's the point of 150 pages description of a model that's going to be replaced in a couple months? Who even reads this? I know it's cheap to generate text with LLMs, but this is just noise at this point.

coffeebeqn 2mo ago
Some AI bro will pop it into their LLM of choice and pretend to learn something
volkk 2mo ago
literally nobody. i think most sane people would just run that through an LLM and get some high level takeaways or ask some specific questions they might be curious about.
ajmurmann 2mo ago
It was probably faster to generate 150 pages than 10 useful ones
srveale 2mo ago
It's common practice to release a detailed system card (OP) and a high level summary: https://www.anthropic.com/news/claude-opus-5 https://www.anthropic.com/news/claude-opus-5 It's okay if you're not the target audience for one or the other.
neuronexmachina 2mo ago
System Cards aren't really targeted to users, that's what blog posts and docs are for: https://ai.meta.com/tools/system-cards/ https://ai.meta.com/tools/system-cards/
Diogenesian 2mo ago
I actually do read them. Not in severe detail, but not casually either. 150 pages is really not very long and there doesn't seem to be too much bloat. (I would cut out the moral personhood stuff but that's a political/ideological thing). This is snarky but I am grumpy: I wonder if there's a correlation between me refusing to use LLMs and me being happy to read a novella-sized PDF about them.
- unshavedyak 2mo ago
  > I wonder if there's a correlation between me refusing to use LLMs and me being happy to read a novella-sized PDF about them. Semi related, but i would hate to read that PDF but i also hate reading what LLMs write lol. LLMs are pretty terrible at being concise. Using an LLM these days means putting up with bizarre and often confusing phrasing, wordy explanations, etc. It's kinda crazy to me how good they are but how bad their writing style is for me personally. Even though i use an LLM constantly i can't stand reading its responses.
- abroszka33 2mo ago
  > 150 pages is really not very long and there doesn't seem to be too much bloat. Maybe it's just me, but 150 pages is like third of a good book. Quite long. And it's full of LLM slop, they did not even bother to remove the em dashes.
  - dgellow 2mo ago
    Sure, but don’t read it like a book, it’s more of a document to skim through
  - no_multitudes 2mo ago
    Do you have specific examples you think are LLM-generated? I have only read a few parts, but they did not seem primarily LLM-generated to me. Using em-dashes is really not a good signal for this IMO. I'm not saying you're wrong btw; I'm sure this has many authors and some of them probably used LLMs significantly in the writing process.
    - abroszka33 2mo ago
      Do you honestly believe that there is a person at Anthropic, creators of one of the smartest LLM models, whose only job is to spend months writing 150 pages about a model they are going to release? And this person is not using LLMs? I'm not saying it's impossible, but I'm more confident about winning the lottery next week.
reasonableklout 2mo ago
It's part of their transparency commitments? They've been doing this since 2023: https://www.anthropic.com/system-cards https://www.anthropic.com/system-cards And lots of folks read these. For example here's simonw's notes on the Claude 4 system card: https://simonwillison.net/2025/May/25/claude-4-system-card/ https://simonwillison.net/2025/May/25/claude-4-system-card/ All of this seemed like utter sci-fi just a couple years ago. Do you think that frontier AI companies should be less transparent?
- skeptic_ai 2mo ago
  Transparency lol
stravant 2mo ago
The system cards are effectively a data dump for researchers to sift through. They're not meant for normal consumers who just want to use the model for work.
bonoboTP 2mo ago
You can just read the part that interests you. There's a table of contents.
bredren 2mo ago
These cards are very important to knowing what the companies are tracking regarding safety. Not just in what the models can or might want to do, but how they treat the operators they interact with. If you look carefully, this card shows the addition of a new benchmark for "condescension" as a character trait. I think a lot of people would like to see a comparable system card for the unannounced model that escaped openai last week.

coffeebeqn 2mo ago

Some AI bro will pop it into their LLM of choice and pretend to learn something

volkk 2mo ago

literally nobody. i think most sane people would just run that through an LLM and get some high level takeaways or ask some specific questions they might be curious about.

ajmurmann 2mo ago

It was probably faster to generate 150 pages than 10 useful ones

srveale 2mo ago

It's common practice to release a detailed system card (OP) and a high level summary: https://www.anthropic.com/news/claude-opus-5 https://www.anthropic.com/news/claude-opus-5 It's okay if you're not the target audience for one or the other.

neuronexmachina 2mo ago

System Cards aren't really targeted to users, that's what blog posts and docs are for: https://ai.meta.com/tools/system-cards/ https://ai.meta.com/tools/system-cards/

Diogenesian 2mo ago

I actually do read them. Not in severe detail, but not casually either. 150 pages is really not very long and there doesn't seem to be too much bloat. (I would cut out the moral personhood stuff but that's a political/ideological thing). This is snarky but I am grumpy: I wonder if there's a correlation between me refusing to use LLMs and me being happy to read a novella-sized PDF about them.

unshavedyak 2mo ago
> I wonder if there's a correlation between me refusing to use LLMs and me being happy to read a novella-sized PDF about them. Semi related, but i would hate to read that PDF but i also hate reading what LLMs write lol. LLMs are pretty terrible at being concise. Using an LLM these days means putting up with bizarre and often confusing phrasing, wordy explanations, etc. It's kinda crazy to me how good they are but how bad their writing style is for me personally. Even though i use an LLM constantly i can't stand reading its responses.
abroszka33 2mo ago
> 150 pages is really not very long and there doesn't seem to be too much bloat. Maybe it's just me, but 150 pages is like third of a good book. Quite long. And it's full of LLM slop, they did not even bother to remove the em dashes.
- dgellow 2mo ago
  Sure, but don’t read it like a book, it’s more of a document to skim through
- no_multitudes 2mo ago
  Do you have specific examples you think are LLM-generated? I have only read a few parts, but they did not seem primarily LLM-generated to me. Using em-dashes is really not a good signal for this IMO. I'm not saying you're wrong btw; I'm sure this has many authors and some of them probably used LLMs significantly in the writing process.
  - abroszka33 2mo ago
    Do you honestly believe that there is a person at Anthropic, creators of one of the smartest LLM models, whose only job is to spend months writing 150 pages about a model they are going to release? And this person is not using LLMs? I'm not saying it's impossible, but I'm more confident about winning the lottery next week.

reasonableklout 2mo ago

It's part of their transparency commitments? They've been doing this since 2023: https://www.anthropic.com/system-cards https://www.anthropic.com/system-cards And lots of folks read these. For example here's simonw's notes on the Claude 4 system card: https://simonwillison.net/2025/May/25/claude-4-system-card/ https://simonwillison.net/2025/May/25/claude-4-system-card/ All of this seemed like utter sci-fi just a couple years ago. Do you think that frontier AI companies should be less transparent?

skeptic_ai 2mo ago
Transparency lol

stravant 2mo ago

The system cards are effectively a data dump for researchers to sift through. They're not meant for normal consumers who just want to use the model for work.

bonoboTP 2mo ago

You can just read the part that interests you. There's a table of contents.

bredren 2mo ago

These cards are very important to knowing what the companies are tracking regarding safety. Not just in what the models can or might want to do, but how they treat the operators they interact with. If you look carefully, this card shows the addition of a new benchmark for "condescension" as a character trait. I think a lot of people would like to see a comparable system card for the unannounced model that escaped openai last week.