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ViKing of Norway: Pragg wins crown that eluded even Vishy

Vishy Anand has been there and done that. The first Indian chessman to build an incredible résumé with his global achievements, he saw D Gukesh (Candidates and World title), Arjun Erigaisi (breaking into the Elo 2800 club) and K Humpy (World Rapid crown) follow in his footsteps. But late on Friday in Oslo, R Praggnanandhaa scaled a peak that even Anand could not conquer in his several forays at Norway Chess.

Times of India 3d ago

Prisma-World: Camera-Controllable Multi-Agent Video World Model

arXiv:2606.09507v1 Announce Type: new Abstract: Video world models have made rapid progress in generating controllable visual experiences, but most of them still simulate the world from a single observer. Extending such models to multiple agents raises a central challenge: if each agent's future state is generated independently, overlapping views may instantiate different versions of the same scene, leading to inconsistent objects, layouts, and appearances across agents. Conventional camera...

arXiv CS 1d ago

'Need urgent help': Praggnanandhaa's teammate hit by visa issue ahead of World C'ships

A visa issue has cast uncertainty over Indian chess prodigy Pranesh Munirethinam's participation in the upcoming FIDE World Team Rapid and Blitz Chess Championships in Hong Kong, prompting an urgent appeal from coach RB Ramesh. Taking to X on Tuesday, Ramesh revealed that 19-year-old Pranesh, who is currently competing in the French League, is yet to receive his Hong Kong visa despite an application being submitted well in advance. "Our team ChessGurukul is supposed to participate at the...

Times of India 13h ago

'I don't know what to do': Scottie Scheffler goes after his caddie during rare meltdown at the Memorial

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Fox News 5d ago

DecMem: Towards Minute-Long Consistent World Generation with Decoupled Memory

Announce Type: new Abstract: Recent advances in video generative models have promoted rapid progress in controllable world models. However, maintaining fine-grained spatio-temporal consistency under long-horizon reasoning remains a key challenge. In this work, we move beyond explicit 3D memory and coarse frame-level implicit modeling, and propose a fine-grained, learnable, and scalable memory for consistent world generation.

arXiv CS 9d ago

Rules for flying flags at home for 2026 World Cup - or risk £2.5k fine

Rules for flying flags at home for 2026 World Cup - or risk £2.5k fine Homeowners need to know to stay on the right side of the law With the FIFA 2026 World Cup rapidly approaching, it's commonplace to see people backing their team by displaying the national flag. But if supporters get carried away with their shows of patriotism, they could face penalties of up to £2,500. Flags must meet certain criteria to be flown legally.

Daily Mirror 4d ago

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents

Announce Type: replace Abstract: Building capable visual web agents requires long-horizon reasoning, precise grounding, and robust interaction with dynamic real-world websites. Despite rapid progress, the strongest systems remain largely proprietary, while open agents still depend heavily on supervised post-training over large collections of curated web trajectories. This dependence creates a major scalability bottleneck: high-quality demonstrations are expensive to collect, and static...

arXiv CS 5d ago

Bluesky was launched as a Twitter rival — but it's far less popular. Now it's eyeing Reddit for inspiration

Bluesky, the social media platform that originated within Twitter, rose to prominence as a rival to the network after Elon Musk acquired the company and rebranded it as X. But, two years since its launch, the site has around just 10% of X's estimated global users. Bluesky's Chief Operating Officer Rose Wang told CNBC that the site saw its future not in rivalling X, but in taking inspiration from the online community forum Reddit. "The world is changing rapidly, and we're not trying to build...

CNBC 6d ago

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents

Announce Type: new Abstract: Building capable visual web agents requires long-horizon reasoning, precise grounding, and robust interaction with dynamic real-world websites. Despite rapid progress, the strongest systems remain largely proprietary, while open agents still depend heavily on supervised post-training over large collections of curated web trajectories. This dependence creates a major scalability bottleneck: high-quality demonstrations are expensive to collect, and static datasets...

arXiv CS 8d ago

PRISM: Self-Pruning Intrinsic Selection Method for Training-Free Multimodal Data Selection

arXiv:2502.12119v4 Announce Type: replace Abstract: Visual instruction tuning adapts pre-trained Multimodal Large Language Models (MLLMs) to follow human instructions for real-world applications. However, the rapid growth of these datasets introduces significant redundancy, leading to increased computational costs. Existing methods for selecting instruction data aim to prune this redundancy, but predominantly rely on computationally demanding techniques such as proxy-based inference or...

arXiv CS 9d ago