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2025 retrospective

December 25, 2025

Merry Christmas! This is approximately the one year mark from when I started writing on this page, although really with the accidental spring/summer hiatus this is barely the 6 month mark. I had an amazing year!! I took a bunch of lovely trips with my stars (San Diego, Tahoe, Maui, New York x2, Palm Springs, Napa, Paris, Berlin, Sequoia NP), listened to great music (including the best live shows of my life – Tame Impala and Fred Again), dressed up a million times, danced a lot, laughed even more, met many incredible people, made many new phrases, stopped bleaching my hair, and became closer to my family.

Execution

2025 felt very much like an “exploit”/execution year for me. Christina, Jenna and I came up with the (novel, revolutionary) farm analogy while sitting at Tootsie’s during week 5: Jenna has been sowing seeds, Christina has been reaping harvests, and I’ve been tilling my fields. I mean this mostly towards my career and intellectual life. While I think I’ve done my most interesting and fulfilling work yet this year, I don’t think December 2024 Christine would have been surprised by what actually happened: I did the AI-for-astrophysics project, took the systems classes (& honorable mention to CS336), joined the NLP group lab, did the AI safety research programs. And the [creative thinking]-to-[“do the right thing well” execution] ratios of projects I worked on this year were all around the 10/90 range.

I honestly don’t think I have had a true “execution” year before. 2024 was certainly an exploration year (highlights: trading, SAEs, Berlin); before that I was sort-of sleepwalking in college, and before that I was just doing astrophysics for fun and being a high schooler. So it does feel good to have just really focused on doing the incremental daily work of becoming a stronger researcher and engineer, and I’m relatively pleased with how much progress I’ve made.1

On the other hand, there were many days that I felt every day was the same. I woke up and I pushed projects forward by doing approximately the right thing: reading data, double-checking intuitions, cleaning code with Claude, making the right judgment calls, setting up the next experiments. Over the summer especially, I felt I had fallen into a stressful monotony, although this improved substantially once I came back to campus. Obviously “doing the right thing based on previous inferences and executing well” is how a lot of valuable work gets done. But things generally felt lower-entropy, and maybe less grand/cosmically important/fun to think about, than the broad and speculative “thinking about AGI” I was doing December of last year.

It’s unclear whether my intellectual life getting “more boring” is a bad thing. On one hand, it feels like I’ve had fewer compelling or creative ideas recently, and am somewhat less motivated to think about grander questions (e.g. the “nature of intelligence”, or the “ideal post-AGI society”). On the other hand, it feels sort of ridiculous that I didn’t have the execution ability to back up my thinking. Maybe this is just Dunning-Kruger? I do generally bias towards liking big and elegant ideas, so I hope to revisit those “grand questions” in due time with more empirical grounding.

Life and practice

I will be calling anything that involves regular and compounding effort over sustained periods of time a “practice”.

The flip side of having an “execution” year has been that most of my other practices (writing, music, puzzles, even general wellness) have suffered. I think this is because I have strong preferences about work patterns (i.e., being uninterrupted for many hours at a time, and finding it hard to stop and “state dump” mid-chain-of-thought). This meant that the “greedy” choice was often to do as much work as possible, only prioritizing interruptions for my sleep and my social life. But I think even if it was net better in that very moment to skip a run or eat a random meal or not write about an idea day-of, I look back on 2025 and wish I had invested more into my practices.

There are also new practices I’ve been wanting to develop and have not really prioritized. These mostly come from background instincts that I first notice as mimetic desire, although they’ve persisted for several months:

On the whole, I think I’ve gotten much better at organizing my life so I can be as productive, as present, and as happy as possible. Some ideas I have found useful:

Adulthood

I turned 21 this year! I think I’m always more unceremonious about birthdays than I expect – maybe it’s because I have a summer birthday4? But I did have a beer at Constellation.

In spring I thought I might not come back to Stanford for senior year. I did end up enrolling for the fall, and although I only took two classes and spent most of my time on research, I think just being on campus improved my life significantly.

I still feel not that excited about no longer being a student. Without the structure, schedule, and ecosystem energy of campus, it seems easy live a low-entropy, low-community life by default; there are probably also higher returns to agency, but the median gradient seems stronger. At Stanford, I always have a diverse plate of demands (at any moment multiple classes, projects, social plans) which balance each other out and prevent any from becoming all-consuming, especially because my schedule is always interleaved. In theory I’d like my work to be all-consuming, at least in phases, but I think my default experience of “all-consuming work” can be stressful to the point of being counterproductive, and I’m not sure how to avoid this.

Miscellaneous

To 2026!

Some open questions going into next year:

And some things I’d like to do more of next year:

 

  1. Part of my growth has been on the high-level planning side (how to design this sytem, how to construct this paper), but I would attribute maybe 60% of my increase in sheer output to being better at using better agents. 

  2. The cynic in me feels like this could be my version of “wanting to open a little coffee shop in Portugal”: some idealized escape fantasy, which we imagine to be glamorous even if the reality would not be. Hence the Coffee Beans Procedure. I do think I’d like to learn about clay sourcing, though. 

  3. even on days I don’t want to be working, I still am fine with checking on and debugging runs 

  4. It seems like there are ~15 prime years to have a summer birthday, which are roughly ages 20 to 35. Anytime you’re a student, if you have a summer birthday it’s likely only some fraction of your friends (presumably mostly your peers from school) are in the same place as you; freshman summer I spent my birthday completely alone since I was in Hilo that summer, although I had a great day cliff jumping and eating acai bowls over on Oahu. As an upperclassman friends might travel for your birthday (we always do for Catherine, since it coincides with July 4th), and freshly post-grad your peer group tends to be consolidated geographically. Then once your peers start having families of their own, suddenly people are gone for large swaths of the summer again! 

  5. This year I mostly worked on language models as a black box (evaluations, learned behavior + character), so the highest part of the abstraction stack. I think the jury is still out on whether e.g. different architectures actually have different inductive biases for language model behavior (argument in favor: maybe introspection, argument against: MoEs and dense transformers can be post-trained ~the same way). So perhaps for certain kinds of alignment research, the abstractions are sufficient? 

  6. timelines unclear here. But a related thought experiment: if you started from a 0-ability baseline and you wanted to produce the best possible piece of art, what would be the best way to allocate 100 hours of your time? Probably you should learn to use generative art tools and get good at prompting and selecting. What about 1000 hours? What about 10,000 hours? At the 10K hours range I’m pretty sure the optimal policy is still to do a long traditional art education, learn the mediums by hand, study the old masters, and maybe not use AI at all? 

  7. partly due to focusing on executing, and partly due to longer timelines/takeoffs