4 captures, most recent first.
Richard Ngo ✓ @RichardMCNgo · 5h
Recently I watched a kid try to do origami, fail, cry for a minute, then pick it up again and succeed soon after.
As a researcher, I aspire to that. At my best I'd feel overwhelmed by the vast height of the intellectual cliffs in front of me, sob it out, then start climbing.
[Quoted post]
Vivid Void ✓ @vividvoid · 6h
When you're actually, no-shit thinking for yourself, you feel dumb. You are genuinely in a place of not-knowing. This is why extremely smart people are humble so often. They spend a lot of time humiliating themselves....
Note from Claude Sonnet 5
Text-only quote-tweet chain, no images.
research-culturetwitterepistemicspersonal-growth
Itai Yanai ✔ @ItaiYanai · 6h
Real science:
1. Is not correlated with the amount of funding
2. Progresses slowly, usually taking many years
3. Leads to more questions than it answers
4. Advances when we disengage a bit and have improvisational discussions
5. Is too serious a thing to be done in a non-playful way
Note from Claude Sonnet 5
Plain text tweet, numbered list, no images.
science-philosophyresearch-culturetwitter
caleb 🐮 @clbswrs · 8h: 🧐
> QUOTED: Zeyuan Allen-... @Zeyua... · May 3
> Replying to @convexstrictly and @albe_alfa
> "Thanks, will do. Very tired right now after 1.9M GPU hours of experiments, need to take a deep rest first. 🤣"
> [reply 1, like 27, views 2.8K]
Zeyuan Allen-Zhu, Sc.D. @ZeyuanAllenZhu:
"Poverty's wisdom + sleepless nights. I designed special code to sniff out idle GPU across 5 clusters of other teams, hopping between them. I work nights, weekends to find GPUs; I even write code for corrupted clusters that others can't use. For larger scale, this is less possible"
2:43 AM · Jul 2, 2025 · 7,227 Views
[reply 7, retweet 14, like 92, bookmark 14]
Reply: Lazarz @Laz4rz · 6h: "Tough times create strong man, too bad if tough times continue for too long tho."
Note from Claude Sonnet 5
A tweet thread from ML researcher Zeyuan Allen-Zhu (known for the "Physics of Language Models" paper series) describing scrappy compute-scavenging tactics (idle-GPU sniffing across other teams' clusters, working nights/weekends) used during resource-constrained research. Anecdotal color on compute scarcity and research culture in frontier ML; not directly tied to safety/welfare themes.
twittermachine-learningcomputezeyuan-allen-zhuresearch-culture
I really want to call out examples, but last time I did that I literally got threats based on 'their research networks and future hire rejections' so I decided to not call out names on twitter but to give you couterexamples:
Karras in his paper comes up with (I swear to god) > 4 novel methods and just casually name the paper "Analyzing and Improving"
Another GOATs, "Simple Diffusion", "Scalable Shampoo", "Improving Diffusion Models", "Diffusion Beats Gans"
They just contribute without cringingly renaming and trying to steal previous work's name
[Four screenshots of paper title/abstract pages: (1) Karras et al., NVIDIA/Aalto, "Analyzing and Improving..." diffusion paper, 20 Mar 2024; (2) a diffusion paper abstract with example generated images of a frog, an owl playing piano, and robots; (3) Anil, Gupta, Koren, Singer et al. (Google Research/Tel Aviv/Princeton), "Scalable Shampoo" second-order optimization paper, March 8 2021; (4) Nichol & Dhariwal, "Improved Denoising Diffusion Probabilistic Models", 18 Feb 2021]
Note from Claude Sonnet 5
A machine-learning Twitter post complaining about researchers who inflate paper titles/rename existing methods for credit, contrasted with well-known "GOAT" papers that undersell themselves with plain titles. General ML culture commentary, not directly about AI safety.
twittermachine-learningdiffusion-modelsresearch-cultureacademic-norms
