This map shows the hour of sunrise globally through the year. It reveals time zones following national and, sometimes, regional boundaries, and slicing through the oceans.
@sraval
Physics, Visualization and AI PhD @ Harvard | Embedding visualization and LLM interpretability | Love pretty visuals, math, physics and pets | Currently into manifolds Wanna meet and chat? Book a meeting here: https://zcal.co/shivam-raval
This map shows the hour of sunrise globally through the year. It reveals time zones following national and, sometimes, regional boundaries, and slicing through the oceans.
Here are the slides from the presentation: docs.google.com/presentation...
Feedback, comments or suggestions are most welcome π
Update on the VIS+AI meetup: I'm a speaker now!
Can we understand the mechanisms of a frontier AI model?
π Blog post: www.anthropic.com/research/tra...
π§ͺ "Biology" paper: transformer-circuits.pub/2025/attribu...
βοΈ Methods paper: transformer-circuits.pub/2025/attribu...
Featuring basic multi-step reasoning, planning, introspection and more!
bsky.app/profile/ieee...
Update: The event is free now, thanks to generous funding from Northeastern University!
Join us for our first Vis+AI meetup on April 3rd at Northeastern University, a meetup to gather people interested in the intersection of Data Visualization and Artificial Intelligence. Sign up as soon as possible! We have a limited number of spots. lnkd.in/e8whS6v2.
The wind map at hint.fm/wind/ has been running since 2012, relying on weather data from NOAA. We added a notice like this today. Thanks to @cambecc.bsky.social for the inspiration.
Great thread describing the new ARBOR open interpretability project, which has some fascinating projects already. Take a look!
Today we're launching a multi-lab open collaboration, the ARBOR project, to accelerate AI interpretability research for reasoning models. Please join us!
github.com/ARBORproject...
(ARBOR = Analysis of Reasoning Behavior through Open Research)
DeepSeek R1 shows how important it is to be studying the internals of reasoning models. Try our code: Here @canrager.bsky.social shows a method for auditing AI bias by probing the internal monologue.
dsthoughts.baulab.info
I'd be interested in your thoughts.
In 1897, Alfred G. Mayer created his butterfly wing projections, an attempt to gain new insights into natural patterns and laws. Vertical blocks denote individual wings, distorted and stretched mathematically to fill a tidy rectangular space. More here: publicdomainreview.org/collection/m...
DeepSeek is a side project π₯
Tailscan website now uses v4!
Also updated the Tailwind CSS color palette cheat sheet π added a button to see the old v3 and new v4 color Tailwind color palette.
#buildinpublic
I'm teaching my first course! A seminar on "Machine Behavior."
Readings are a mix of NLP, CSS-y, and ML work on how machines (focus LLMs) "behave" within sociotechnical systems and on how they can be used to study human behavior.
Syllabus: manoelhortaribeiro.github.io/teaching/spr...
1) In the narrow area of prompt generation techniques LLMs can generate ideas rated as more novel and exciting. They are sometimes less feasible. Out of 4000 ideas generated, only 200 were potentially unique. arxiv.org/abs/2409.04109
hahahahah there were actually two technical reports for RL reasoning models today, kimi 1.5 also has good stuff on reward shaping + RL infra
kimi 1.5 report: https://buff.ly/4jqgCOa
Dimensionality reduction beyond neural subspaces with slice tensor component analysis
www.nature.com/articles/s41...
What a beauty! This is comet C/2024 G3 (ATLAS) passing through the field of view of the LASCO C3 coronagraph.
It wasn't for certain whether it would survive it's closest approach to the sun on January 13th, but it did and delivered us a spectacular show!
#comet #C2024G3 π
To wrap your head around agents and think through the ethics, our Society and Ethics team put together a great resource - π @mmitchell.bsky.social @sashamtl.bsky.social @evijit.io @giadapistilli.com
huggingface.co/blog/ethics-...
Pie and donut charts get a bad rep, but they work well if used for the right data and tasks. Read about what the science has to say about them in our new blog post: https://buff.ly/3DURbnS
*Deep Learning Through A Telescoping Lens*
by @alanjeffares.bsky.social @aliciacurth.bsky.social
Shows that tracking 1st-order approximations to the training dynamics provides insights into many phenomena (e.g., double descent, grokking).
arxiv.org/abs/2411.00247
New paper <3
Interested in inference-time scaling? In-context Learning? Mech Interp?
LMs can solve novel in-context tasks, with sufficient examples (longer contexts). Why? Bc they dynamically form *in-context representations*!
1/N
I've started a Research Integrity Feed populated by hashtags below & choice users. For the #SciPub / #AcademicPublishing sleuths πππ
Plus it's got a cute furry mascot! π
bsky.app/profile/did:...
#ResearchIntegrity
#PredatoryPublisher
#PredatoryPublishing
#EditorialIndependence
#SciRetraction
ByteDance has open-sourced a lip-sync model called LatentSync. LatentSync is an end-to-end lip-sync framework that does not rely on any intermediate motion representation, but instead models complex audio-visual correlations directly in the latent space.
Genuary 2025, Day 3: "Exactly 42 lines of code." A tool for drawing with the osculating (kissing) circles of one's stroke.
#genuary #genuary2025 #genuary3
What was the most important machine learning paper in 2024?
My Famous Deep Learning Papers list (that I use in teaching) does not include any new ideas from the last year.
papers.baulab.info
Which single new paper would you add?
Incredibly interesting Roundup of AI papers.
open.substack.com/pub/sebastia...
Happy New Year! ππ
[Throwback to 2016 when I was in Sydney on New Yearβs Eve]