·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
AI agents are coming to Rivian’s cars2h◆How Windows is being optimized for Nvidia’s RTX Spark laptops3h◆Google’s Universal Cart shopping tool launches in the US3h◆Nobody is safe from celebrity AI deepfakes3h◆Benn Jordan on Flock, privacy, and the new surveillance backlash3h◆TechCrunch Disrupt 2026: Last day3h◆Google launches its ‘universal’ online shopping cart ahead of the holidays4h◆Teaching students to think and learn through questions4h◆Amazon’s Bee launches two new personal AI devices, starting at $755h◆Amazon’s always-listening Bee wearable can now help you buy stuff5h◆Your secrets aren’t safe with this cute robot toy — they’re on Chinese servers ready to be hacked6h◆Apertus 1.5 Release Notes8h◆Figma announces new features to define how agents work on its platform13h◆Narrowing the Collaboration Gap, Probably13h◆Iterate on an LLM, Serve on an SLM13h◆Relational Semantic Grounding for Test-Time Discovery13h◆MARL-BattleGrounds: A Novel JAX-native Benchmark for Heterogeneous and Competitive Multi-agent RL13h◆SkillForgeBench: Evaluating Agent Reliability Grounded in Agent Skill Specifications13h◆Harmony Harness: Multi-Objective Self-Evolution of Agent Harnesses13h◆State Representation Shapes Long-Horizon Agent Learning and Transfer: An Empirical Study13h◆AI agents are coming to Rivian’s cars2h◆How Windows is being optimized for Nvidia’s RTX Spark laptops3h◆Google’s Universal Cart shopping tool launches in the US3h◆Nobody is safe from celebrity AI deepfakes3h◆Benn Jordan on Flock, privacy, and the new surveillance backlash3h◆TechCrunch Disrupt 2026: Last day3h◆Google launches its ‘universal’ online shopping cart ahead of the holidays4h◆Teaching students to think and learn through questions4h◆Amazon’s Bee launches two new personal AI devices, starting at $755h◆Amazon’s always-listening Bee wearable can now help you buy stuff5h◆Your secrets aren’t safe with this cute robot toy — they’re on Chinese servers ready to be hacked6h◆Apertus 1.5 Release Notes8h◆Figma announces new features to define how agents work on its platform13h◆Narrowing the Collaboration Gap, Probably13h◆Iterate on an LLM, Serve on an SLM13h◆Relational Semantic Grounding for Test-Time Discovery13h◆MARL-BattleGrounds: A Novel JAX-native Benchmark for Heterogeneous and Competitive Multi-agent RL13h◆SkillForgeBench: Evaluating Agent Reliability Grounded in Agent Skill Specifications13h◆Harmony Harness: Multi-Objective Self-Evolution of Agent Harnesses13h◆State Representation Shapes Long-Horizon Agent Learning and Transfer: An Empirical Study13h◆
News/Platonic Task Arithmetic
arxiv
PublishedOctober 5, 2026 at 4:00 AM

Platonic Task Arithmetic

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

arXiv:2610.00929v2 Announce Type: replace Abstract: Distinct pre-trained models specialized for the same task converge to closely similar behavior, yet the parameter updates that produce it share no common coordinate system. Weight-space task arithmetic is therefore confined to a single model, and t

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
arxivNarrowing the Collaboration Gap, Probably13harxivIterate on an LLM, Serve on an SLM13harxivRelational Semantic Grounding for Test-Time Discovery13harxivMARL-BattleGrounds: A Novel JAX-native Benchmark for Heterogeneous and Competitive Multi-agent RL13h
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