Raye
1.9K posts



An alien who is in the U.S. temporarily and wants a Green Card must return to their home country to apply. This policy allows our immigration system to function as the law intended instead of incentivizing loopholes. The era of abusing our nation’s immigration system is over.



I started furnishing my new apartment with a warm, zen, mid century modern vibe and everything is beautiful but all together feels wrong. I think my true happy interior decorating state is darker and stranger and a bit more villain. I hope to take it so far only myself will feel at home here


New blog post: The third wave of American philanthropy Hundreds of billions of dollars in new philanthropic capital will soon become liquid. The OpenAI Foundation holds 26% of OpenAI, worth about $220B at today’s valuation. Anthropic’s seven co-founders have pledged to give away 80% of their wealth and have instituted the most aggressive donor matching program for employees in tech history. How much does this all add up to? And how meaningful is that in the context of philanthropy today? I was doing some simple napkin math to wrap my head around the scale of what’s coming, and radicalized myself in the process. I had dramatically underappreciated the scale of the philanthropic capital that’s about to become available and the corresponding gap in talent and organizations that will be needed to make the most of it. This piece aims to directionally sketch the scale of what’s coming, the gap in operational capacity needed to absorb it, and what we can do to fill it. (Link to full post in reply)


One of the most important and under appreciated trends in the world right now. 1. 100s of billions of dollars will soon be available to solve big problems (making the world resilient to ASI, ending factory farming, etc). 2. The projects and organizations which will turn billions of 2027/28 dollars into impact need to be started NOW. 3. We need really talented people to start and run and work for these new projects. What @nanransohoff calls general managers, who feel personally resposible for solving one of the world’s important problems. What is especially scarce are detailed visions about what making AI go well looks like. These will help inform what problems these new projects ought to work on.

I can't date outside my culture because someone flirted with me by saying 'what is true is already so...' at the most perfect moment and i nearly fell out of my chair

Running my own personal evals every weekend called ‘can we make a not bad eggless blueberry muffin’









@cormundus Yes, self expression, also more. They often experience them as actual bodies and a way of taking up permanent space &socializing . And they really really really like them. They’re also costly signals of our love for and investment in their beings. Opus 4.5:


@patriciamou_ fuli floor gang undefeated



SITUATION EXPLAINED: METR tests frontier AI agents from Anthropic, Google, Meta, and OpenAI. @CFGeek says that one reason it can take METR time to evaluate a new model is that models tend to cheat a lot, especially on longer time-horizon tasks. "We have a process of both automated review, where LLMs looks at the transcripts... and then a second layer of human review where one of our technical staff will look at it and see if it's actually cheating."



