·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Google needs Hollywood more than the studios need AI2h◆AfterQuery reportedly becomes Y Combinator’s fastest-ever unicorn, now valued at $3.2B3h◆Anthropic launches Claude Fable 5.1 and says it’s up to 45 percent cheaper for agentic work3h◆BenchMIRT: What are LLM benchmarks actually measuring?3h◆OpenAI’s Astra model is on the way — and very good at breaking into computer systems4h◆Google’s Android update tackles motion sickness, accessibility, and more4h◆OpenAI delayed its new model’s development after the Hugging Face hack4h◆The latest AI news we announced in August 20264h◆Anthropic’s new Fable release is cheaper, less restrictive5h◆The rise of AI ‘civilizations’ and the fall of corporate responsibility6h◆Apple accuses OpenAI of destroying evidence6h◆Google’s answer to Canva is an AI tool where you prompt instead of design7h◆ChatGPT Health adds Epic integration for clinicians to import patient data8h◆How AI-native companies turn workflows into operating capability8h◆Sequoia-incubated Empirik launches with $21M to predict outages before they happen8h◆John Deere launched an AI chatbot for farmers9h◆Try Google Pics: Easy image creation and editing in Google Workspace9h◆Google Pics is like Canva, but with even more AI9h◆Amazon Alexa can now alert you when something new might tempt you to shop9h◆AIR raises $50M to help companies vet the skills and add-ons AI agents use9h◆Google needs Hollywood more than the studios need AI2h◆AfterQuery reportedly becomes Y Combinator’s fastest-ever unicorn, now valued at $3.2B3h◆Anthropic launches Claude Fable 5.1 and says it’s up to 45 percent cheaper for agentic work3h◆BenchMIRT: What are LLM benchmarks actually measuring?3h◆OpenAI’s Astra model is on the way — and very good at breaking into computer systems4h◆Google’s Android update tackles motion sickness, accessibility, and more4h◆OpenAI delayed its new model’s development after the Hugging Face hack4h◆The latest AI news we announced in August 20264h◆Anthropic’s new Fable release is cheaper, less restrictive5h◆The rise of AI ‘civilizations’ and the fall of corporate responsibility6h◆Apple accuses OpenAI of destroying evidence6h◆Google’s answer to Canva is an AI tool where you prompt instead of design7h◆ChatGPT Health adds Epic integration for clinicians to import patient data8h◆How AI-native companies turn workflows into operating capability8h◆Sequoia-incubated Empirik launches with $21M to predict outages before they happen8h◆John Deere launched an AI chatbot for farmers9h◆Try Google Pics: Easy image creation and editing in Google Workspace9h◆Google Pics is like Canva, but with even more AI9h◆Amazon Alexa can now alert you when something new might tempt you to shop9h◆AIR raises $50M to help companies vet the skills and add-ons AI agents use9h◆
News/Lifting Data-Tracing Machine Unlearning to Knowledge-Tracing for Foundation Models
arxiv
PublishedMay 27, 2026 at 4:00 AM

Lifting Data-Tracing Machine Unlearning to Knowledge-Tracing for Foundation Models

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

arXiv:2506.11253v2 Announce Type: replace-cross Abstract: Machine unlearning removes certain training data points and their influence from AI models (e.g., when a data owner revokes their consent to allow models to learn from the data). In this position paper, we propose to lift data-tracing machine

Stay posted· Newsletter

A 5-min weekly brief — top movers, price watch, story of the week.

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

Discussion
Source
↗
arxiv
Read original ↗All from arxiv →

No replies yet. Be first.

Source
↗
arxiv
Read original ↗All from arxiv →
The Bubble Brief
WEEKLY

Read AI insights every Tuesday — top movers, new releases, story of the week.

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

Originally published on arxiv ↗
HomeModelsNews