·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
A woman was arrested in Philly for blocking a delivery robot2h◆Disney agrees to hire the majority of Character.AI’s workforce4h◆Meta removes language that raised scraping and AI training concerns23h◆Anthropic says its workforce has become less junior and is spending more time in meetings1d◆Replit makes OpenAI its default over Anthropic, CEO says1d◆Meta removes language that may have allowed it to scrape news sites1d◆Websites are closing their doors to AI agents1d◆How Itaú is building generative AI for its entire customer base2d◆Roundtables: A Conversation With the Creator of AI-Designed Viruses2d◆India becomes the latest country to report rogue AI agent activity2d◆Physical AI is more than robots, says the Nvidia veteran now investing in it2d◆An Nvidia insider-turned-VC on why robotics hasn’t hit its ChatGPT moment, yet2d◆Elorian’s first AI model wants to reason with images, not just about them2d◆Jev is Vercel’s fastest-adopted AI model ever2d◆A week with RTX Spark: everything we’ve learned using Nvidia’s new laptops2d◆Mark Wahlberg on using AI in film ‘the right way’ and being open to an AI clone carrying on his legacy2d◆Meta’s new terms may allow it to train AI on news sites for free2d◆Veritas expands its anti-counterfeit chip to jewelry, trophies, and fragrance bottles2d◆Replit’s CEO says the future of work is the ‘self-driving company’2d◆Optimal Hydra: Model Heterogeneous Federated Learning for LLMs using Data-Informed Hydra-Nets2d◆A woman was arrested in Philly for blocking a delivery robot2h◆Disney agrees to hire the majority of Character.AI’s workforce4h◆Meta removes language that raised scraping and AI training concerns23h◆Anthropic says its workforce has become less junior and is spending more time in meetings1d◆Replit makes OpenAI its default over Anthropic, CEO says1d◆Meta removes language that may have allowed it to scrape news sites1d◆Websites are closing their doors to AI agents1d◆How Itaú is building generative AI for its entire customer base2d◆Roundtables: A Conversation With the Creator of AI-Designed Viruses2d◆India becomes the latest country to report rogue AI agent activity2d◆Physical AI is more than robots, says the Nvidia veteran now investing in it2d◆An Nvidia insider-turned-VC on why robotics hasn’t hit its ChatGPT moment, yet2d◆Elorian’s first AI model wants to reason with images, not just about them2d◆Jev is Vercel’s fastest-adopted AI model ever2d◆A week with RTX Spark: everything we’ve learned using Nvidia’s new laptops2d◆Mark Wahlberg on using AI in film ‘the right way’ and being open to an AI clone carrying on his legacy2d◆Meta’s new terms may allow it to train AI on news sites for free2d◆Veritas expands its anti-counterfeit chip to jewelry, trophies, and fragrance bottles2d◆Replit’s CEO says the future of work is the ‘self-driving company’2d◆Optimal Hydra: Model Heterogeneous Federated Learning for LLMs using Data-Informed Hydra-Nets2d◆
News/Spatial-Interactor: Learning Spatial Reasoning through Interaction with the Observable Physical World
arxiv
PublishedOctober 15, 2026 at 4:00 AM

Spatial-Interactor: Learning Spatial Reasoning through Interaction with the Observable Physical World

Source
arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2609.23038v2 Announce Type: replace Abstract: Spatial reasoning is essential for vision-language models (VLMs) to understand and act in the physical world. Reasoning in dynamic environments requires VLMs to perceive local state transitions caused by object motion and viewpoint changes and inte

Stay posted· Newsletter

Three short emails a week: Monday, Wednesday and Friday. Top movers, new models and the most-referenced story.

// no spam · unsubscribe one-click · free forever

Your email is used only to send The Bubble Brief. Privacy policy

Discussion
Source
↗
arxiv
Read original ↗All from arxiv →

No replies yet. Be first.

Source
↗
arxiv
Read original ↗All from arxiv →

Related coverage

More from ARXIV
arxivOptimal Hydra: Model Heterogeneous Federated Learning for LLMs using Data-Informed Hydra-Nets2d
The Bubble Brief
MON · WED · FRI

Read AI insights every Monday, Wednesday and Friday — top movers, new models, story of the week.

// no spam · unsubscribe one-click · free forever

Your email is used only to send The Bubble Brief. Privacy policy

Originally published on arxiv ↗
PrivacyTermsRefundsLegal notice|AboutMethodologyContact

© 2026 Databubble

Built by Marouane Gazouzi · Readyo, AI interview coach

HomeModelsNews