AI Radar

10 madde 28/31 kaynak 198 tarandı
düşen kaynak: import-ai, reddit-localllama, reddit-aivideo

Üretim4

Waypoint-OPD: Transferring RL-Induced Policy Shifts via Gated On-Policy Distillation

↑ yükselişte · yeniden10 oy/saatgörselmodel3D·hf-papers·3 gün önce·660 oy

Policy-shift distillation reuses the difference between a teacher's log probabilities before and after reinforcement learning (RL) as supervision on student-generated trajectories. However, this endpoint policy shift cannot reveal whether local action preferences evolved consistently during teacher training. The same endpoint shift can result from early and late shifts that reinforce or partially cancel each other. We investigate whether agreement between early and late teacher policy shifts can guide selective transfer. We introduce Waypoint-guided On-Policy Distillation (Waypoint-OPD)…

8.45
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I made a custom node that turns illustrations into screentone manga panels

görsel·reddit-stablediffusion·1 saat önce

I wanted my finished illustrations to look like an actual manga page: crisp ink lines, blank paper for light areas, solid black for dark hair and clothes, and screentone only where it’s needed. It uses Qwen-Image 2.1 Turbo (edit) to decide what should be black, white or toned, then a small finishing node prints it with real halftone dots. There’s also a lite workflow without the edit model. The node is a single small Python file (numpy/opencv/torch only), MIT licensed. GitHub: https://github.com/ashukae/ComfyUI-MangaScreen Also in ComfyUI Manager, search “Manga Screen”. Have fun experimenting…

6.36
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T2i Moss vs. Flux3 Klein vs. Krea2

görsel·reddit-stablediffusion·2 saat önce

Same prompt, same seed, no lora submitted by /u/CutLongjumping8 [link] [comments]

6.32
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Gen4P: Video Generators are 4D Perceivers

video·arxiv-cv·2 gün önce

We introduce Gen4P, a unified framework for recovering 4D geometry and motion from monocular video. We show that a pretrained video generator can be repurposed into a feed-forward 4D perceiver without iterative denoising. Building on on-demand querying, Gen4P processes clean video latents in a single encoder pass and predicts the requested 4D attributes through a lightweight cross-attention decoder. The on-demand query formulation enables flexible spatial sampling, and our proposed continuous-time queries further provide temporal flexibility. To strengthen geometric knowledge, we propose a…

4.66
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Oyun1

Is sharing gameplay before release a bad idea now?

oyunmodel·reddit-gamedev·3 saat önce

Hey everyone I’m making a roguelite deckbuilder and I’ve reached the point where I want to start sharing gameplay and showing people what the game is about But a few things I’ve seen lately have made me nervous I saw a tweet from a dev making an incremental game where you punch a wall to escape from prison Someone replied saying they had 20 hours to release it before other people copied it and made way more money About 7 hours after they shared it someone had already made pretty much the exact same game and released it on Roblox Another dev I follow was making a game about smashing piggy…

4.71
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Modeller & Araştırma4

MJev-Spatial: System One Spatial Intelligence via Native Attention Matching

↑ yükselişte · yenidenmodel·hf-papers·3 gün önce·348 oy

Spatial intelligence lets an agent perceive and act in the physical world, and many of its judgments must be made at interaction rates: which spatial relation holds, how far an object is, or where to place it. Vision-language models (VLMs) produce these answers by free-form text generation, paying for autoregressive decoding and answer parsing even though the output space is compact: one of a few options, a scalar, or a 2D point. In light of this, we introduce MJev-Spatial, a System 1 multimodal decision model that tackles all three types of spatial understanding tasks within a unified…

8.36
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Gemini 4 Argon: Built to solve your hardest problems

↑ yükselişte · yenidenHN'de Gemini 4 Argon 0→5 hikâyemodelşirket·deepmind·4 gün önce·+1 kaynak

TBD

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Claude reveals ECDSA curve origins

↑ yükselişte54 oy/saataraçmodelşirket·hackernews·16 saat önce·885 oy
7.45
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Ekosistem1

DeepSeek Just Released V4.1-Flash-1017, Scores 77.0 on DeepSWE, Opens Search API

↑ yükselişteHN'de Flash-1017 0→6 hikâyearaç·marktechpost·2 saat önce

DeepSeek has just released DeepSeek-V4.1-Flash-1017, a new checkpoint of its V4.1-Flash model. It is live on the DeepSeek website, app and API. DeepSeek claims stronger scores, faster task completion and shorter outputs than the September V4.1-Flash release. The company calls it a Pareto improvement in performance and cost. Alongside it, DeepSeek opened its Search and […] The post DeepSeek Just Released V4.1-Flash-1017, Scores 77.0 on DeepSWE, Opens Search API appeared first on MarkTechPost .

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Kısa kısa8