·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Bringing Value Models Back: Generative Critics for Value Modeling in LLM Reinforcement Learning1h◆Subagents vs Agent Skills: Executing Reusable Knowledge for Long-Horizon Agentic Tasks1h◆Distribution-Consistent Inference for Dynamic Sparse Mixture-of-Experts1h◆In RAG We Trust? Measuring Robustness of Retrieval-Augmented Generation Under Document Poisoning1h◆FrontierChallenge: Evaluating Scientific Workflow Completion1h◆IBIB: A Protocol for Measuring Enterprise AI Systems by Serving Route, Not Model Identifier1h◆AgenticGen: Reward-Guided Agentic Video Generation for Advertising1h◆Strangers to Themselves: What Language Models Say About Themselves Is Generic1h◆Omni Interaction Agent Technical Report1h◆CoGReV: A Confidence-Gated Post-Hoc Non-Monotonic Belief Revision Framework for Phishing Website Classification1h◆Bit-Flip Attacks on Vision-Language-Action Models: Action-Decoding Architecture Shapes the Vulnerability1h◆Can Foundation Models Moderate Online Content? Evaluating Instruction- vs. Example-Driven Policy Operationalization1h◆RiLM: Parameter-Efficient Language Modeling via Geodesic Decoding1h◆Tracing Computation Density in LLMs1h◆Cultural Binding Heads in Language Models1h◆Direct Diversity Optimization for Diverse Successful Trajectories in Preference Post-Training1h◆Left-Branching Transformers Excel at Right-Branching Languages: Data Shapes Word Order Preferences in Language Models1h◆Palmyra x6 Technical Report: An Agentic, Tool-Use Model Post-Trained via Anchored Supervised Fine-Tuning1h◆'Ghaib in Translation' aka Unseen Harm: Measuring Cross-Script Safety Inconsistency with 'Missed-in-Urdu' Scores in LLM Hate Speech Detection1h◆DexterSQL: Deep Schema Exploration and Rule-based Correction for Text-to-SQL Generation1h◆Bringing Value Models Back: Generative Critics for Value Modeling in LLM Reinforcement Learning1h◆Subagents vs Agent Skills: Executing Reusable Knowledge for Long-Horizon Agentic Tasks1h◆Distribution-Consistent Inference for Dynamic Sparse Mixture-of-Experts1h◆In RAG We Trust? Measuring Robustness of Retrieval-Augmented Generation Under Document Poisoning1h◆FrontierChallenge: Evaluating Scientific Workflow Completion1h◆IBIB: A Protocol for Measuring Enterprise AI Systems by Serving Route, Not Model Identifier1h◆AgenticGen: Reward-Guided Agentic Video Generation for Advertising1h◆Strangers to Themselves: What Language Models Say About Themselves Is Generic1h◆Omni Interaction Agent Technical Report1h◆CoGReV: A Confidence-Gated Post-Hoc Non-Monotonic Belief Revision Framework for Phishing Website Classification1h◆Bit-Flip Attacks on Vision-Language-Action Models: Action-Decoding Architecture Shapes the Vulnerability1h◆Can Foundation Models Moderate Online Content? Evaluating Instruction- vs. Example-Driven Policy Operationalization1h◆RiLM: Parameter-Efficient Language Modeling via Geodesic Decoding1h◆Tracing Computation Density in LLMs1h◆Cultural Binding Heads in Language Models1h◆Direct Diversity Optimization for Diverse Successful Trajectories in Preference Post-Training1h◆Left-Branching Transformers Excel at Right-Branching Languages: Data Shapes Word Order Preferences in Language Models1h◆Palmyra x6 Technical Report: An Agentic, Tool-Use Model Post-Trained via Anchored Supervised Fine-Tuning1h◆'Ghaib in Translation' aka Unseen Harm: Measuring Cross-Script Safety Inconsistency with 'Missed-in-Urdu' Scores in LLM Hate Speech Detection1h◆DexterSQL: Deep Schema Exploration and Rule-based Correction for Text-to-SQL Generation1h◆
News/Artificial scientists
mit-tech-review
PublishedApril 21, 2026 at 8:45 PM
—neutral

Artificial scientists

Source
technologyreview.comfull article ↗
Read on mit-tech-review→
Publisher summary· verbatim

AI companies frequently invoke the possibility of AI-enabled scientific discovery as a justification for their existence: If the technology eventually cures cancer and solves climate change, then all the carbon emissions and slop videos will have been well worth it. Already, LLMs can assist scientis

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
↗
mit-tech-review
Read original ↗All from mit-tech-review →

No replies yet. Be first.

Source
↗
mit-tech-review
Read original ↗All from mit-tech-review →
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 mit-tech-review ↗
HomeModelsNews