·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Right Words, Wrong Moment: A Clinician-Grounded Analysis of Distress in 19,930 Conversations between Young People and ChatGPT37m◆SAGE: A Statistical Acceptance Gate for Self-Evolving Agents37m◆PowerZooJax: A JAX-based Power System Benchmark for Reinforcement Learning37m◆GeoWind2Plan: Mission-Time 3D Urban Wind Prediction for Energy-Efficient UAV Planning37m◆Mirror-Score: Calibrated, Inference-only Scoring Exposes the Limits of Sequence-compatibility Ranking in D-peptide Design37m◆SMat-Attention: Structured Long-Context Sequence Modeling37m◆LongCat-DeepResearch Technical Report37m◆A Polyphonic Conception of AI Understanding37m◆GeoOutageBench: Benchmarking Ambiguity-aware, Ontology-grounded Geospatiotemporal KGQA for Multimodal Power Outage and Resilience Analysis37m◆An Exact Generate - Transform Decomposition of Small-LLM Team Scaling Across Orchestration Architectures37m◆The Layer Mystery of VLA: An Information-Theoretical Analysis of VLA Latent Interface37m◆AdaST: Adaptive Coupling for Spatial-Temporal Forecasting37m◆Memory Is a Derivation: The Distributed-Evidence Paradox in Long-Term Agents37m◆More Features Are Not More Evidence: Limits of Training-Free Human Activity Recognition with Jev37m◆Principled Thoughts for Latent Recursive LLM Systems37m◆FigAct: Turning Scientific Figures into Active Canvases for Explanation37m◆An Empirical Study and Assessment of EU AI Act Compliance Checkers37m◆MERID: Multimodal Exploration via Recursive Self-Improvement Agents for Major Depression Analysis37m◆ChronoSRL: Temporal Geometry for Self-Supervised Reinforcement Learning37m◆CoRe: Co-Evolving Reward Models for Mitigating Latent Reward Hacking in Video Diffusion Models37m◆Right Words, Wrong Moment: A Clinician-Grounded Analysis of Distress in 19,930 Conversations between Young People and ChatGPT37m◆SAGE: A Statistical Acceptance Gate for Self-Evolving Agents37m◆PowerZooJax: A JAX-based Power System Benchmark for Reinforcement Learning37m◆GeoWind2Plan: Mission-Time 3D Urban Wind Prediction for Energy-Efficient UAV Planning37m◆Mirror-Score: Calibrated, Inference-only Scoring Exposes the Limits of Sequence-compatibility Ranking in D-peptide Design37m◆SMat-Attention: Structured Long-Context Sequence Modeling37m◆LongCat-DeepResearch Technical Report37m◆A Polyphonic Conception of AI Understanding37m◆GeoOutageBench: Benchmarking Ambiguity-aware, Ontology-grounded Geospatiotemporal KGQA for Multimodal Power Outage and Resilience Analysis37m◆An Exact Generate - Transform Decomposition of Small-LLM Team Scaling Across Orchestration Architectures37m◆The Layer Mystery of VLA: An Information-Theoretical Analysis of VLA Latent Interface37m◆AdaST: Adaptive Coupling for Spatial-Temporal Forecasting37m◆Memory Is a Derivation: The Distributed-Evidence Paradox in Long-Term Agents37m◆More Features Are Not More Evidence: Limits of Training-Free Human Activity Recognition with Jev37m◆Principled Thoughts for Latent Recursive LLM Systems37m◆FigAct: Turning Scientific Figures into Active Canvases for Explanation37m◆An Empirical Study and Assessment of EU AI Act Compliance Checkers37m◆MERID: Multimodal Exploration via Recursive Self-Improvement Agents for Major Depression Analysis37m◆ChronoSRL: Temporal Geometry for Self-Supervised Reinforcement Learning37m◆CoRe: Co-Evolving Reward Models for Mitigating Latent Reward Hacking in Video Diffusion Models37m◆
News/AI researchers put out videos saying superintelligence is ‘exactly as dangerous as it sounds’
theverge
PublishedSeptember 29, 2026 at 5:35 PM
—neutral

AI researchers put out videos saying superintelligence is ‘exactly as dangerous as it sounds’

AI researchers put out videos saying superintelligence is ‘exactly as dangerous as it sounds’
Source
theverge.comfull article ↗
Read on theverge→
Publisher summary· verbatim

"The chance of human extinction is about a coin flip, in my view," Geoffrey Irving, a former OpenAI and Google DeepMind employee, said in a new interview. It's one of a dozen interviews with AI researchers, including current and former employees at OpenAI, Google, and Anthropic. Palisade Research, w

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
↗
theverge
Read original ↗All from theverge →

No replies yet. Be first.

Source
↗
theverge
Read original ↗All from theverge →
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 theverge ↗
Built by Marouane Gazouzi
HomeModelsNews