HPMOR

Yeah it is so absurd. The going cost of a politician in local California politics is on the order of $30-60k a year. Very inexpensive when they vote on policies shaping billions of dollars worth of sales.

BAHAHAHAHahahahah this is so funny. Such a deep cut.

Clerky is great, Stripe is really buying all of the great product companies. I feel like with Clerky and Stripe Atlas they, Stripe now controls all of the early incorporation infrastructure now. This feels deeply problematic.

I actually do not know if this is true.

Fable is insanely annoying. It treats me like an incompetent, suggesting when something is in my expertise that I'm actually wrong. And then it will simply refuse to engage or do what's asked. Anything related to present day American Politics is strictly off limits. How is this truth seeking, or rational? Model misalignment increases when post-training is done on non verifiably domains. Scary times indeed.

Yeah, this is correct. There are so many large multi-trillion dollar companies coming to IPO, which if your are passive index holder and you are trying to track the market it is correct for these companies to be included. And besides SPY has chosen not to fast track where QQQ has. It is a free market, and folks are free to NOT buy QQQ. So I'm not sure why this is a point of debate.

He created Django, what do you mean he's not an engineer? Also 'low-effort??' his posts are extremely in-depth, clearly very thought through with a significant amount of time and energy. Additionally he does perform multifaceted checks across LLMs in many of his other blog posts.

It is more than just books published pre-2022, but I've noticed that it is necessary to buy books __printed__ before 2022. Recently I've noticed aggressive misspellings and misquotations in old books printed in '25/'26. I believe these errors are being introduced because the publisher is using an LLM or some similar tool to correct any prior errors but is introducing more hallucinations. Or perhaps the cause is people caring less than they used to?

Wow - Google paid a couple billion dollars to bring Noam back. Really impressive by OAI if this reporting is accurate!

Yeah I know some of my team members have invested a lot of time in this. Could definitely be worth chatting with them on what improvements could be made here. We're starting to deprioritize our consumer facing agent harness, in favor of more infrastructure level improvements we are making.

Interesting. We definitely have long-running agents where certain preferences are key. However, some of the preferences are likely going to be shared universally across our customers. Is there some way of triaging this feedback into permanent improvements in agent performance?

I'm curious who the ideal customer of this should be. If we're a startup with our own harness, are we a good fit? What would qualify us or disqualify us from being a good user?

Holy shit, I cannot believe this is an actual belief people currently hold. We fought a war for this amendment.