Guess: most people who have gotten seriously interested in AI safety in the last year have not read/skimmed Risks From Learned Optimization.

Maybe 70% confident that this is true. Not sure how to feel about this tbh.

Huh I don't see it :/

Oh huh is this for pro users only. I don't see it (as a plus user). Nice.

Is this with o3? I thought people lost access to o3 in chatgpt?

I repeated those two prompts with GPT-5 thinking and it did not bring up the word salad in either case: 

(special tokens)

(random tokens)

Feels worth noting that the alignment evaluation section is by far the largest section in the system card: 65 pages in total (44% of the whole thing). 

Here are the section page counts

• Abstract — 4 pages (pp. 1–4)
• 1 Introduction — 5 pages (pp. 5–9)
• 2 Safeguards and harmlessness — 9 pages (pp. 10–18)
• 3 Honesty — 5 pages (pp. 19–23)
• 4 Agentic safety — 7 pages (pp. 24–30)
• 5 Cyber capabilities — 14 pages (pp. 31–44)
• 6 Reward hacking — 4 pages (pp. 45–48)
• 7 Alignment assessment — 65 pages (pp. 49–113)
• 8 Model welfare assessment — 9 pages (pp. 114–122)
• 9 RSP evaluations — 25 pages (pp. 123–147)

The white box evaluation subsection (7.4) alone is 26 pages, longer than any other section!

Mandarin speakers will have understood that the above contains an unwholesome sublist of spammy and adult-oriented website terms, with one being too weird to make the list here. 

Lol unfortunately I am good enough at Mandarin to understand the literal meaning of those words but not good enough to immediately parse what they're about. I was like, "what on earth is '大香蕉网'" (lit. "Big Banana Website"), and then I googled it and clicked around and was like "ohhhhh that makes a lot of sense."

People might be interested in the results from this paper. 

Another piece of evidence that the AI is already having substantial labor market effects, Brynjolfsson et al.'s paper (released today!) shows that sectors that can be more easily automated by AI has seen less employment growth among young workers. For example, in Software engineering:

I think some of the effect here is mean reversion from overhiring in tech instead of AI-assisted coding. However, note that we see a similar divergence if we take out the information sector alltogether. In the graph below, we look at the employment growth among occupations broken up by how LLM-automateable they are. The light lines represent the change in headcount in low-exposure occupations (e.g., nurses) while the dark lines represent the change in headcount in high-exposure occupations (e.g., customer service representatives). 

We see that for the youngest workers, there appears to be a movement of labor from more exposed sectors to less exposed sectors. 

I knew it. The people who like Jeff Koons don’t just have poor taste—they’re evil.