Who's Who of AI

AK

540 trust @_akhaliq · 516,758 followers
Why they matter

Tracked through public AI activity and peer connections inside the directory.

AI signals
11
past 30d
Sources
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distinct domains
Discussões
0
past 30d
Latest signal
6d ago
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Articles & links

paper: https://t.co/gD6tgeLIOt

Paper page - Orca: The World is in Your Mind huggingface.co
AI Weekly's analysis →
  • Orca pretrains on 125K hours of video and 160M event annotations using a single Next-State-Prediction objective on a frozen Qwen3.5 backbone.
  • Orca-4B averages 51.8 across MVBench, TemporalBench, 3DSRBench, and SWITCH, ahead of Qwen3.5-4B's 46.7 at the same size.
  • On a real-robot out-of-distribution test Orca reports 36.6% versus π₀.5's 27.6%, despite using no action labels in pre-training.
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View on Bluesky · ♥ 0 ↻ 0 ↩ 0 · 3 from the directory shared this · 84d ago

AuK Technical Report An Open-Source Foundational Model for Speech Generation and Editing paper: https://t.co/tCsaoA5w6o https://t.co/hNH1qFczYo

Paper page - AuK Technical Report: An Open-Source Foundational Model for Speech Generation and Editing huggingface.co
AI Weekly's analysis →
  • AuK, a 1.5-billion-parameter open-source model, was trained on roughly 3.03 billion instruction–audio instances and 1.95 million hours of supervision.
  • On Seed-TTS-Eval it posts a 2.65 average word-error rate versus Qwen3-TTS at 3.07, and cuts Chinese editing WER from 10.46 to 3.09.
  • A distilled AuK-Flash variant does 4-step inference without classifier-free guidance for a 4.5× wall-clock speedup over the full model.
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View on Bluesky · ♥ 0 ↻ 0 ↩ 0 · 14d ago

Marigold V2 Revisiting Diffusion Transformers for Monocular Depth Estimation paper: https://t.co/718T7p8wCZ https://t.co/MJTvHC9jCt

Paper page - Marigold V2: Revisiting Diffusion Transformers for Monocular Depth Estimation huggingface.co
AI Weekly's analysis →
  • Marigold V2 reports a 16-26% AbsRel improvement over the previous best on KITTI and ETH3D from single-step flow-matching inference.
  • The recipe fine-tunes the pretrained Qwen-Image-Edit-2509 diffusion transformer with a rank-128 QLoRA on a single 32 GB consumer GPU.
  • The same pipeline extends to surface normals, intrinsic decomposition, sparse-to-dense metric depth completion and transparent-object depth.
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View on Bluesky · ♥ 0 ↻ 0 ↩ 0 · 14d ago

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