·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Ensemble forecasting with IBM Granite time-series models11m◆How to Use Parallel Data for Multilingual Pretraining4h◆A KAN-based Non-linear Factorization for Embedding Layer Compression4h◆How Much Gradient Does Truncated Backprop Lose in Looped Transformers?4h◆Orbitol: Crystal Generation on Wyckoff Orbits4h◆Differentially Private Sparse Reward Estimation with Preference Feedback4h◆Group Distributionally Robust Optimization over Decentralized Networks4h◆In-Context Bias Propagation in LLM-Based Tabular Data Generation4h◆Operon: Incremental Construction of Ragged Data via Named Dimensions4h◆A Generalisation Signal Need Not Be a Model-Selection Signal4h◆Mitigating Reward Hacking in Realistic Scenarios Through Representation Engineering4h◆Characterizing Oblivious Common-Reward Multi-Player Bandits: Universal Stationarity, Coordination Traps, and Certified Global Rates4h◆DriveMLP: When Training Strategy Outperforms Model Complexity in Autonomous Driving4h◆Hierarchical Exponential-Gaussian Mixtures for Watch-Time Distribution Prediction4h◆RL-IF: Tracking Non-local Training Data Influence for Online Reinforcement Learning4h◆A Model-Free Continuous-Time RL Algorithm from Discrete-Time Off-Policy Data with End-to-End Guarantees4h◆Where Do Legal Factors Live in LLMs?4h◆Transformers as Generic Deep Neural Networks: Exact Compilation, the Cost of Removing Activation-Activation Products, and Multi-Agent Attention Clustering4h◆S^3martCirc: Self-supervised Smart Circuit Discovery4h◆Unit-Aware Differentially Private Quantum Machine Learning for Clinical and Wearable Health Data4h◆Ensemble forecasting with IBM Granite time-series models11m◆How to Use Parallel Data for Multilingual Pretraining4h◆A KAN-based Non-linear Factorization for Embedding Layer Compression4h◆How Much Gradient Does Truncated Backprop Lose in Looped Transformers?4h◆Orbitol: Crystal Generation on Wyckoff Orbits4h◆Differentially Private Sparse Reward Estimation with Preference Feedback4h◆Group Distributionally Robust Optimization over Decentralized Networks4h◆In-Context Bias Propagation in LLM-Based Tabular Data Generation4h◆Operon: Incremental Construction of Ragged Data via Named Dimensions4h◆A Generalisation Signal Need Not Be a Model-Selection Signal4h◆Mitigating Reward Hacking in Realistic Scenarios Through Representation Engineering4h◆Characterizing Oblivious Common-Reward Multi-Player Bandits: Universal Stationarity, Coordination Traps, and Certified Global Rates4h◆DriveMLP: When Training Strategy Outperforms Model Complexity in Autonomous Driving4h◆Hierarchical Exponential-Gaussian Mixtures for Watch-Time Distribution Prediction4h◆RL-IF: Tracking Non-local Training Data Influence for Online Reinforcement Learning4h◆A Model-Free Continuous-Time RL Algorithm from Discrete-Time Off-Policy Data with End-to-End Guarantees4h◆Where Do Legal Factors Live in LLMs?4h◆Transformers as Generic Deep Neural Networks: Exact Compilation, the Cost of Removing Activation-Activation Products, and Multi-Agent Attention Clustering4h◆S^3martCirc: Self-supervised Smart Circuit Discovery4h◆Unit-Aware Differentially Private Quantum Machine Learning for Clinical and Wearable Health Data4h◆
News/Meet Noscroll, an AI bot that does your doomscrolling for you
techcrunch
PublishedApril 23, 2026 at 7:38 PM
▲bullish

Meet Noscroll, an AI bot that does your doomscrolling for you

Source
techcrunch.comfull article ↗
Read on techcrunch→
Publisher summary· verbatim

Noscroll wants to cure doomscrolling with an AI bot that reads the internet for you.

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
Mentioned models
01
  • 01
    Noscroll AI
Source
↗
techcrunch
Read original ↗All from techcrunch →
Tags
04
#ai-powered#socialmedia#newsaggregation#productivity
Mentioned companies
02
NoscrollOpenSea

No replies yet. Be first.

Mentioned models
01
  • 01
    Noscroll AI
Source
↗
techcrunch
Read original ↗All from techcrunch →
Tags
04
#ai-powered#socialmedia#newsaggregation#productivity
Mentioned companies
02
NoscrollOpenSea
The Bubble Brief
MON · WED · FRI

Read ai-powered 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 techcrunch ↗
PrivacyTermsRefundsLegal notice|AboutMethodologyContact

© 2026 Databubble

Built by Marouane Gazouzi · Readyo, AI interview coach

HomeModelsNews