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Parallel Language Models 5.7× faster inference up to 3B params

, 5 items in Computer Vision and AI Applications, 2 min read

In this digest (5 items)

Parallel Language Models achieve up to 5.7× faster inference while keeping autoregressive-level quality, and they scale to 3B parameters. The team will open-source the code and model.

Key points

  • Speedup: 5.7× faster inference at autoregressive-level quality.

  • Scale: model scales to 3B parameters.

Sources

AI agent skills passed scanners, study shows 3 rules

AI agent skills passed every security scanner and still asked agents for actions that common security controls forbid. A September 2026 study explains why a clean scan isn’t enough and lists three rules that worked.

Key points

  • 705 AI agent skills passed every security scanner.

  • September 2026 study shows why a clean scan isn’t enough and provides three rules.

Sources

Binance hack, wallet drained, TX hash 0x53bd38b8...

Binance hack possibly occurring now. A Binance wallet was drained to a new address. The transaction hash is 0x53bd38b816c23e74134786c29a8c18d792777998a3b9326047b583100e88e2f3 and was funded by Tornado Cash.

Key points

  • TX hash: 0x53bd38b816c23e74134786c29a8c18d792777998a3b9326047b583100e88e2f3

  • Funding source: Tornado Cash

Sources

Holo4D accepted to NeurIPS 2026, video reshoot capability

Holo4D is accepted to NeurIPS 2026 and can reshoot a video from a new camera path. It lifts video into 3D tracks and uses them to steer a video model, keeping scene content unchanged.

Key points

  • Acceptance: Holo4D accepted to #neurips2026.

  • Function: Gives a video and a new camera path, lifts the video into 3D tracks and uses them to steer a video model.

Sources

PixGR: Fast Feed-Forward 3D Reconstruction

PixGR: Pixel-Space Generative Decoding for Fast Feed-Forward 3D Reconstruction combines pixel-space flow matching with feed-forward 3D Gaussian reconstruction. It improves geometry and appearance in unseen regions while keeping inference under a second.

Key points

  • Combines pixel-space flow matching with feed-forward 3D Gaussian reconstruction

  • Improves geometry and appearance in unseen regions while maintaining sub-second inference

Sources