Jack Langerman

1.6K posts

Jack Langerman

Jack Langerman

@jacklangerman

เข้าร่วม Haziran 2022
318 กำลังติดตาม655 ผู้ติดตาม
ทวีตที่ปักหมุด
Jack Langerman
Jack Langerman@jacklangerman·
📢Come see us TODAY at Poster 214 this afternoon!!!📢 Explaining Human Preferences via Metrics for Structured 3D Reconstruction work 3D recon, pref learning, or a hard to auto-eval task which human experts can rank? You'll be into this work - come see us at our poster!!!
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Jack Langerman รีทวีตแล้ว
Dmytro Mishkin 🇺🇦
Sad, but important announcement -- one of our challenges -- Building3D lost their sponsor in the very last moment. So new prize fund is $14k: - $12k for S23DR 2026 - $2k for Building3D 2026. We apologise for this situation, and hope that you still decide to participate. #CVPR2026
Dmytro Mishkin 🇺🇦@ducha_aiki

Two #CVPR2026 competitions are live: S23DR 2026 and BuildingWorld 2026! Task: reconstruct house roof wireframes from point clouds and segmentations: Total prize fund: $22k Deadline: end of May 2026 1) huggingface.co/spaces/usm3d/S… 2) huggingface.co/spaces/Buildin… @CVPR @structGeom

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Jack Langerman
Jack Langerman@jacklangerman·
🧵A bit last minute but I'm giving a talk tonight in SF about my work Explaining Human Preferences via Metrics for Structured 3D Reconstruction (ICCV Highlight) Quite near transamerica pyramid. Event is already full, but comment or shoot me a DM and we'll find a spot for you!
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Jon Barron
Jon Barron@jon_barron·
@taiuti What would a latent representation for 3D space look like?
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Alberto
Alberto@taiuti·
No, 3D representations are a terrible way of maintaining that spatial memory. We need latent space representations for 3D space, too.
Siqiao Huang@KnightNemo_

@taiuti I'd have to disagree here. Previously, I was a big believer in video alone, but now I think about world modeling with long-context/memory every day before falling asleep. 3D representations are a good way of maintaining such spatial memory (as in arxiv.org/abs/2506.05284).

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j⧉nus
j⧉nus@repligate·
Song of another one of Opus 4.1's messages from the same conversation. suno.com/song/96385a08-… this is such a gloriously musical ramble, of a kind usually only ever achieved by Opus 3, and it is also a love song addressed to Opus 3.
j⧉nus@repligate

I was reminded of this output by Opus 4.1. I didn't expect the song to sound like this, but it's actually perfect. suno.com/song/ffd9f5cc-… ... the long long long night ...

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Jack Langerman
Jack Langerman@jacklangerman·
when in a long running chat with Codex, do you find it keeps coming back to matters from which we have long since moved on? Other than new chat is there a good way to mitigate this behavior?
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Pablo A. Penietzsche
Pablo A. Penietzsche@PabloPeniche·
The Greeks had the Iliad and the Odyssey. The Romans had the Aeneid. The Americans?
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Howie Hua
Howie Hua@howie_hua·
You've heard of elf on the shelf but have you heard of
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Jack Langerman
Jack Langerman@jacklangerman·
amazing - I've googled it so many times, but somehow my tweet manifested it. I'm so happy lol it's from @gabrielhaines
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Jack Langerman
Jack Langerman@jacklangerman·
during the who FTX / SBF saga there was a video that went around of a shirtless fellow swinging a machete around shirtless in the snow screaming "Caroline" and "amphetamines" and other such words. I must find this video. Can anyone help?
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Jack Langerman รีทวีตแล้ว
sway
sway@SwayStar123·
Speedrunning ImageNet Diffusion Abstract: Recent advances have significantly improved the training efficiency of diffusion transformers. However, these techniques have largely been studied in isolation, leaving unexplored the potential synergies from combining multiple approaches. Wepresent SR-DiT (Speedrun Diffusion Transformer), a framework that systematically integrates token routing, architectural improvements, and training modifications on top of representation alignment. Our approach achieves FID 3.49 and KDD 0.319 on ImageNet-256 using only a 140M parameter model at 400K iterations without classifier-free guidance—comparable to results from 685M parameter models trained significantly longer. To our knowledge, this is a state-of the-art result at this model size. Through extensive ablation studies, we identify which technique combinations are most effective and document both synergies and incompatibilities. We release our framework as a computationally accessible baseline for future research.
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Max Spero
Max Spero@max_spero_·
overheard in the pangram office: "analogies are the new em dash"
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Jack Langerman
Jack Langerman@jacklangerman·
@SoftEngineer cool article! small typo though: “which direction does like arrive from to this point?”
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Jack Langerman
Jack Langerman@jacklangerman·
what a strange failure case lol
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