·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Replika’s founder built the AI assistant she pitched at Disrupt 12 years ago1h◆Tenstorrent hits $6.2B valuation to scale open-weight AI chips1h◆Making the internet better for AI agents might make it worse for everyone else1h◆“We were looking at it wrong”: The explosive claim that’s upended the AI world2h◆People are using AI to make their smart TVs dumb again3h◆Nvidia launches new open models to run agents in the enterprise and on PCs4h◆JB Pritzker thinks AI could help us live to 100 — or threaten us like nukes5h◆A hacker broke into John Deere and SharkNinja with an army of AI agents5h◆Laplace Intelligence red-teams robots and self-driving cars before they hit the real world7h◆Democrats think cracking down on AI could give them an edge7h◆AI researchers stranded Claude on a virtual desert island. It started to “play.”10h◆A Theoretical Analysis of Test-Driven Code Generation15h◆Scalable Adaptation of 3D Geometric Foundation Models via Weak Supervision from Internet Video15h◆Can Graph Learning Learn Circuits?15h◆Beyond Fixed Acquisition Functions: Temporal Difference Active Learning for Perturbation Discovery15h◆Trajectory-Guided Steering: Mitigating Spurious Feature Bias in Clinical Classification15h◆Sentence-Level Topic Modeling with Lexical and Contextual Evidence15h◆Referring Multi-Object Tracking with Diverse Dynamic Expressions15h◆Rarity of Singletons Matters & Supplementary Materials15h◆TANGO: RNA Topology and Geometry Co-Design15h◆Replika’s founder built the AI assistant she pitched at Disrupt 12 years ago1h◆Tenstorrent hits $6.2B valuation to scale open-weight AI chips1h◆Making the internet better for AI agents might make it worse for everyone else1h◆“We were looking at it wrong”: The explosive claim that’s upended the AI world2h◆People are using AI to make their smart TVs dumb again3h◆Nvidia launches new open models to run agents in the enterprise and on PCs4h◆JB Pritzker thinks AI could help us live to 100 — or threaten us like nukes5h◆A hacker broke into John Deere and SharkNinja with an army of AI agents5h◆Laplace Intelligence red-teams robots and self-driving cars before they hit the real world7h◆Democrats think cracking down on AI could give them an edge7h◆AI researchers stranded Claude on a virtual desert island. It started to “play.”10h◆A Theoretical Analysis of Test-Driven Code Generation15h◆Scalable Adaptation of 3D Geometric Foundation Models via Weak Supervision from Internet Video15h◆Can Graph Learning Learn Circuits?15h◆Beyond Fixed Acquisition Functions: Temporal Difference Active Learning for Perturbation Discovery15h◆Trajectory-Guided Steering: Mitigating Spurious Feature Bias in Clinical Classification15h◆Sentence-Level Topic Modeling with Lexical and Contextual Evidence15h◆Referring Multi-Object Tracking with Diverse Dynamic Expressions15h◆Rarity of Singletons Matters & Supplementary Materials15h◆TANGO: RNA Topology and Geometry Co-Design15h◆
News/Reliability Scales Inversely: Bigger Models Compound Mistakes Faster via a Hidden Auto-Regressive Risk Regime
arxiv
PublishedJuly 22, 2026 at 4:00 AM

Reliability Scales Inversely: Bigger Models Compound Mistakes Faster via a Hidden Auto-Regressive Risk Regime

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

arXiv:2607.18292v1 Announce Type: cross Abstract: As language models scale, answers start truer but degrade faster: scaling buys capability but erodes reliability. The knowledge-gap account - more data, retrieval, or scale - misses an auto-regressive risk residual that scale sharpens: the model comm

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
arxivA Theoretical Analysis of Test-Driven Code Generation15harxivScalable Adaptation of 3D Geometric Foundation Models via Weak Supervision from Internet Video15harxivCan Graph Learning Learn Circuits?15harxivBeyond Fixed Acquisition Functions: Temporal Difference Active Learning for Perturbation Discovery15h
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