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#zero-shot

Impressive SVG animation made by Opus 5.5 (zero shot)

Reddit r/singularity ↗ · 3d ago

A demonstration shows that Opus 5.5, an AI model, can generate impressive SVG animations in a zero-shot setting, highlighting its advanced generative capabilities.

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#zero-shot

@FinanceYF5: GPT-6 Astra is evolving the dexterity of robotic hands through simulation training. Its zero-shot fine manipulation cap…

X AI KOLs Following ↗ · 4d ago

GPT-6 Astra is evolving robotic hand dexterity through simulation training, achieving impressive zero-shot fine manipulation capabilities like twirling a pen and solving a Rubik's Cube, with the goal of transferring these skills to the real world.

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#zero-shot

MME-Safety: A Fine-grained Benchmark for Safety Evaluation of MLLMs

arXiv cs.CL ↗ · 4d ago Cached

MME-Safety is a rigorously verified benchmark for evaluating the safety of Multimodal Large Language Models, featuring a four-dimensional annotation schema and a hierarchical framework to assess risk scenarios, harm severity, and modality-specific stealth levels.

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#zero-shot

Streaming Video Editing with Easy Adaptation

Hugging Face Daily Papers ↗ · 4d ago Cached

This paper introduces SVEET, a framework for high-quality streaming video editing that leverages a pretrained video diffusion model to enable auto-regressive editing with real-time performance on a single GPU.

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#zero-shot

Helix 2.5 (2 minute read)

TLDR AI ↗ · 2026-09-18

Figure released Helix 2.5, a humanoid control model that performed household tasks zero-shot across 30 homes using pretrained data.

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#zero-shot

Brett Adcock on X: "Here's 4 hours of our robot doing zero-shot work in 30 rental homes" / X

Reddit r/singularity ↗ · 2026-09-17 Cached

Brett Adcock posted a video of a robot performing zero-shot tasks across 30 rental homes, showcasing its real-world application capabilities.

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#zero-shot

Toward Self-Adaptive Physical AI: Can LLM Agents Manage Long-Horizon Physical Tasks?

arXiv cs.AI ↗ · 2026-09-15 Cached

This paper explores building self-adaptive physical AI agents using LLMs to manage long-horizon tasks in a zero-shot manner, showing they can adapt effectively to environmental changes compared to reinforcement learning agents.

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#zero-shot

HarnessVLN: Unifying Training-Free Embodied Navigation through an Agent Harness

Hugging Face Daily Papers ↗ · 2026-09-14 Cached

HarnessVLN is a zero-shot, training-free framework for embodied navigation that unifies perception, retrieval, grounding, navigation, recovery, and termination through a unified tool interface, achieving state-of-the-art results on benchmarks like R2R and RxR.

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#zero-shot

IBM releases SOTA Granite Time Series PatchTST-FM-r2 model with commercial-friendly license

Hugging Face Blog ↗ · 2026-09-09 Cached

IBM released the Granite Time Series PatchTST-FM-r2 model, a 385M-parameter foundation model for zero-shot time-series forecasting with top performance on the GIFT-Eval benchmark and a commercial-friendly Apache 2.0 license.

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#zero-shot

Show-Harness: Just a VLM Agent Can Play Robots

Hugging Face Daily Papers ↗ · 2026-09-09 Cached

Show-Harness is a method that enables vision-language models to control robots through discrete semantic actions, allowing zero-shot deployment and efficient fine-tuning across different robots and GUIs.

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#zero-shot

@rsasaki0109: ZipDepth [ECCV 2026] Official implementation of "ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on …

X AI KOLs Timeline ↗ · 2026-09-06 Cached

ZipDepth is a lightweight zero-shot monocular depth estimation model that achieves the best accuracy-efficiency trade-off, running in real time on any device from mobile phones to server GPUs, and has been accepted at ECCV 2026.

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#zero-shot

GE-Act 2.0: Pretraining and Scaling a World-Action Model for Robotic Manipulation

Hugging Face Daily Papers ↗ · 2026-09-04 Cached

This paper introduces GE-Act 2.0, a world-action model pretrained from scratch to enable scalable zero-shot robotic manipulation with improved success rates across diverse tasks and conditions.

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#zero-shot

TC-Next: Zero-Shot Multimodal Cyclone Forecasting

arXiv cs.LG ↗ · 2026-09-03 Cached

TC-Next is a multimodal deep learning model that leverages foundation model forecasts and satellite imagery for zero-shot tropical cyclone track and intensity forecasting, showing significant error reduction over conventional trackers.

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#zero-shot

SCX Router: Streaming Zero-Shot Model Selection with a Decoder-KV Classifier and a Real-World Task Ontology

arXiv cs.AI ↗ · 2026-09-03 Cached

SCX Router introduces a lightweight GLiClass-based model selection tool that uses a decoder-KV classifier and a task ontology to route LLM tasks, optimizing for speed, cost, and quality without autoregressive generation.

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#zero-shot

TimesFM-3: A zero-shot foundation model for multivariate forecasting

Reddit r/singularity ↗ · 2026-09-01 Cached

Google introduces TimesFM-3, a state-of-the-art zero-shot foundation model for multivariate time series forecasting, capable of handling multiple targets and covariates in a single forward pass without fine-tuning.

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#zero-shot

TontaubeV1 - Open TTS model release for local long-form generation

Reddit r/LocalLLaMA ↗ · 2026-08-28

TontaubeV1 is an open-weight text-to-speech model released for local long-form generation, supporting English and German with zero-shot voice cloning and low-latency inference on GPUs.

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#zero-shot

J-Zero: Unified Challenger--Solver--Judge Co-Evolution from Zero Data

arXiv cs.LG ↗ · 2026-08-28 Cached

J-Zero is a unified framework for co-evolving Challenger, Solver, and Judge models from zero data, enabling self-improvement in language models across both verifiable and unverifiable domains with performance surpassing baselines.

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#zero-shot

VietAIDetector: An Open-Source Zero-Shot Detector for Vietnamese AI-Generated Text

arXiv cs.CL ↗ · 2026-08-27 Cached

The paper introduces VietAIDetector, an open-source zero-shot tool for detecting Vietnamese AI-generated text, featuring a Gradio web interface and superior performance over existing methods.

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#zero-shot

Structured Frequency-Domain Evidence for LLM-Based Time-Series Anomaly Detection

arXiv cs.LG ↗ · 2026-08-26 Cached

This paper proposes a zero-shot time-series anomaly detection framework that enhances LLM inputs with frequency-domain evidence from FFT to better capture structural anomalies.

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#zero-shot

@MaximeRivest: this is a really cool and powerful trick for image segmentation with sam without prompting! > You can exploit the small…

X AI KOLs Following ↗ · 2026-08-24 Cached

A technique is shared for using the Segment Anything Model (SAM) to segment images without prompting by exploiting similarities in microscopy images, enabling zero-shot mask propagation similar to video.

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