Keep on to blur preview images; turn off to show them clearly
huge update coming this week to my app "lovelee couples" :) mood tracking, push notificaitons, instant updating home screen widgets to send doodles straight to home screen and like 1000 more things will post about it when its live in full
curious guy creating things @ https://t.co/HXWladhJaA - up and coming wife guy
And if some are curious about the grinding part of a PhD, I really enjoyed reading https://t.co/JnotoVqzLI. It was strangely comforting when doing my PhD, often alone, and sharing through reading another fellow PhD student's experience.
Distributed Learning @ deepmind | DiLoCo, DiPaCo. Continual Learning PhD @ Sorbonne
wish i had this widget that tells my partner my mood earlier on in the great lock in of sep-dec
huge update coming this week to my app "lovelee couples" :) mood tracking, push notificaitons, instant updating home screen widgets to send doodles straight to home screen and like 1000 more things will post about it when its live in full
I see a lot of bad takes on X about PhDs and frontier labs (not just this quoted tweet), so let me chime in. For context, I didn't do a prestigious undergrad, worked a bit in a startup as an applied ML engineer, then did a PhD, and now work in a frontier lab. A PhD isn't following a course from a teacher or magically becoming an overpowered scientist. It's about doing a few things with intense focus for a long time, alone. You may have a great advisor guiding you, but that only affects the learning rate. At the end of the day, it's a lot of alone time with you and your thoughts on a problem few people care about. Good news: if you can find time, you can get a very similar experience! It'll be slower since you may not have as much free time, compute (though a free T4 on Colab is great), or an advisor and teammates (but there are great open communities). Today's distinction between ML research and applied ML is often small. Grinding paper reproductions on Colab and improving them one step at a time is a great way to become a researcher. The real worry is "Can I join a frontier lab without a PhD?" You'll face fierce competition for research scientist jobs, but even top PhD grads do—it's a mix of talent and luck. Re-implementing a paper and posting it on X probably isn't enough now, but publicly trying improvements and sharing interesting results, even as a blog post, can work! I know several frontier lab researchers, some extremely famous on X, who started this way. Personally, I loved my PhD. It was time to learn and explore ideas fully and freely. Do you absolutely need one? No.
And if some are curious about the grinding part of a PhD, I really enjoyed reading https://t.co/JnotoVqzLI. It was strangely comforting when doing my PhD, often alone, and sharing through reading another fellow PhD student's experience.
RT @ekuyda: there really was a lull in terms of interest in language models at some point - Google was still working on them but without ev…
AI Apps investing @ A16Z; A1111; Boards of Krea, Deel, Clutch, Titan, Arc Boats, Untitled, Happy Robot + more; If you’re not at the table, you’re on the menu
RT @daniel_d_kang: It's that time of year again! I'm actively recruiting PhD students, please apply to UIUC if you're interested in working…
Asst professor @MIT EECS & CSAIL (@nlp_mit). Author of https://t.co/VgyLxl0oa1 and https://t.co/ZZaSzaRaZ7 (@DSPyOSS). Prev: CS PhD @StanfordNLP. Research @Databricks.