<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Zlio: On Hugging Face</title>
<link>https://zlio.com/</link><description>AI news, deduplicated.</description><item><title>HiRO-ACEv2 simulates extreme weather at 3 km resolution cheaply</title><link>https://huggingface.co/blog/allenai/hiro-acev2</link>
<guid isPermaLink="false">zlio-3902</guid><pubDate>Wed, 14 Oct 2026 16:12:42 GMT</pubDate>
<description>HiRO-ACEv2 is an AI weather model that simulates extreme weather at 3 km resolution for a fraction of the usual cost, released on Hugging Face.</description></item><item><title>Ling-3.1-flash: 560B-parameter MoE model with 1M context</title><link>https://www.reddit.com/r/LocalLLaMA/comments/1x5tsni/inclusionailing31flash_hugging_face</link>
<guid isPermaLink="false">zlio-3925</guid><pubDate>Wed, 14 Oct 2026 15:11:14 GMT</pubDate>
<description>An open Hugging Face model with 560B total parameters, 25B active per token and a 1M-token context window. It follows Ling 3.0, which was 127B.</description></item><item><title>Agent-Reflex trains language agents to reflect and recover from failure</title><link>https://huggingface.co/papers/2610.17953</link>
<guid isPermaLink="false">zlio-3359</guid><pubDate>Tue, 13 Oct 2026 00:00:00 GMT</pubDate>
<description>Agent-Reflex is a training framework that teaches language agents to reflect on noisy MCP tool feedback and user corrections, improving failure recovery in long-horizon tasks.</description></item><item><title>GreenWAM world foundation model targets robotics</title><link>https://huggingface.co/papers/2610.18774</link>
<guid isPermaLink="false">zlio-3466</guid><pubDate>Tue, 13 Oct 2026 00:00:00 GMT</pubDate>
<description>GreenWAM is a world foundation model that both predicts how a robot&#x27;s actions change a scene and chooses those actions, aiming to work across different robot bodies.</description></item><item><title>Tev scales long-horizon agentic environments with dense rewards</title><link>https://huggingface.co/papers/2610.18868</link>
<guid isPermaLink="false">zlio-3810</guid><pubDate>Tue, 13 Oct 2026 00:00:00 GMT</pubDate>
<description>Paper Tev presents a method to scale long-horizon agentic training environments using dense progress rewards, aiming to help open models work autonomously for hours to days.</description></item><item><title>Texture-fix VAE for Qwen Image 2.1 released on Hugging Face</title><link>https://www.reddit.com/r/StableDiffusion/comments/1x52tz3/testing_texturefixvaeforqwenimage21</link>
<guid isPermaLink="false">zlio-2877</guid><pubDate>Tue, 13 Oct 2026 17:23:44 GMT</pubDate>
<description>A VAE that reduces checkerboard artifacts in Qwen Image 2.1 generations, shared on Hugging Face. Differences are only visible when zooming past 500%.</description></item><item><title>Aziib Pixel Style LoRA released for Krea2 and Anima</title><link>https://www.reddit.com/r/StableDiffusion/comments/1x52j87/aziib_pixel_style_lora_pixel_art_lora_for_krea2</link>
<guid isPermaLink="false">zlio-3389</guid><pubDate>Tue, 13 Oct 2026 17:13:00 GMT</pubDate>
<description>A pixel-art LoRA for image models Krea2 and Anima, downloadable from Civitai with the trigger word &#x27;aziib pixel style&#x27;.</description></item><item><title>Urbex paper adds agentic spatial grounding for city-scale 3D</title><link>https://huggingface.co/papers/2610.18356</link>
<guid isPermaLink="false">zlio-2466</guid><pubDate>Tue, 13 Oct 2026 00:00:00 GMT</pubDate>
<description>Urbex is a research framework that lets a vision-language agent actively search a city-scale 3D scene, querying landmarks and zooming instead of ranking precomputed instance proposals.</description></item><item><title>VideoJev casts video understanding as decision tasks</title><link>https://huggingface.co/papers/2610.18615</link>
<guid isPermaLink="false">zlio-2468</guid><pubDate>Tue, 13 Oct 2026 00:00:00 GMT</pubDate>
<description>VideoJev is a family of models that turn video understanding and interaction into structured decision tasks, adapting pretrained MLLMs with a shared prediction head instead of autoregressive text answers.</description></item><item><title>Jeva proposes System One models from first principles</title><link>https://huggingface.co/papers/2610.18773</link>
<guid isPermaLink="false">zlio-2469</guid><pubDate>Tue, 13 Oct 2026 00:00:00 GMT</pubDate>
<description>Jeva is a paper arguing current system-one model designs miss four structural requirements, including distinguishing answer absence from uncertainty and permutation invariance, and proposes models built around them.</description></item><item><title>WAVE-0 paper bridges VLA policies and world action models</title><link>https://huggingface.co/papers/2610.18568</link>
<guid isPermaLink="false">zlio-3649</guid><pubDate>Tue, 13 Oct 2026 00:00:00 GMT</pubDate>
<description>A research paper proposing lightweight latent future prediction to connect vision-language-action policies with world action models, aiming to model action consequences without costly video generation.</description></item><item><title>Paper studies memory modality selection for GUI agents</title><link>https://huggingface.co/papers/2610.17928</link>
<guid isPermaLink="false">zlio-2467</guid><pubDate>Tue, 13 Oct 2026 00:00:00 GMT</pubDate>
<description>A paper examines how GUI agents should choose the modality for retrieved memory, arguing existing agents use a fixed representation instead of adapting the format to the task.</description></item><item><title>Cepheid paper targets cross-family motion completion</title><link>https://huggingface.co/papers/2610.18871</link>
<guid isPermaLink="false">zlio-3648</guid><pubDate>Tue, 13 Oct 2026 00:00:00 GMT</pubDate>
<description>A research paper on sparse-to-dense motion completion: recovering dense mesh motion from sparse vertex displacements. It shows residual priors trained on one geometry family often fail to beat parameter-free harmonic extension on other families.</description></item></channel></rss>