·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Announcing SimReady Central: An Open Library of Simulation-Ready 3D Assets for Robotics and AI Factories1h◆An AI Security Agent for University ACMIS: Multi-Vector Threat Detection and Automated Response8h◆Learning Transferable Latent User Preferences for Human-Aligned Decision Making8h◆Repair the Core, Not the Symptom: Planning-Graph Repair for Long-Horizon Agents8h◆IndustryForge-27B: A Domain-Enhanced Multimodal Foundation Model for Industrial CAD8h◆Ethical LLM-Assisted Research: A Framework for Responsible Delegation, Verification, and Epistemic Value8h◆PALATE: Peculiar Application of the Law of Total Expectation to Enhance the Evaluation of Deep Generative Models8h◆WoW-Bench: Evaluating Fine-Grained Acoustic Perception in Audio-Language Models via Marine Mammal Vocalizations8h◆When Synthetic Speech Is All You Have: Better Call GRPO8h◆Reducing belief in conspiracy theories as they unfold using large language models8h◆Harnessing Magnitude-Only and Complex Measurements for Improved Dynamic MRI Reconstruction with Learned Priors8h◆EDISCO: Equivariant DIScrete Diffusion for Euclidean Combinatorial Optimization8h◆Composing What Each Teacher Learned: Delta Distillation for Multi-Teacher On-Policy Learning8h◆CRISP: Fixing Flying Pixels in Latent LiDAR Generation via Diffusion Decoding8h◆WeGR: Towards Unified Generative Retrieval via Behavior-aware Tokenization and Preference Alignment8h◆StartLux-Decision: AutoThink Decision Models with Reinforcement Learning for Calibrated Deliberative Decisions8h◆Many Steps into One: Reasoning Contraction and the Limits of Safe Memory Reuse for LLM Agents8h◆Secure Agentic Coding through Counterexample-Grounded Feedback8h◆Policy Search in Code Space for Multi-Agent Pathfinding8h◆TamedFlow: Trajectory-Aware Distillation for Teacher-Assisted Diffusion Sampling8h◆Announcing SimReady Central: An Open Library of Simulation-Ready 3D Assets for Robotics and AI Factories1h◆An AI Security Agent for University ACMIS: Multi-Vector Threat Detection and Automated Response8h◆Learning Transferable Latent User Preferences for Human-Aligned Decision Making8h◆Repair the Core, Not the Symptom: Planning-Graph Repair for Long-Horizon Agents8h◆IndustryForge-27B: A Domain-Enhanced Multimodal Foundation Model for Industrial CAD8h◆Ethical LLM-Assisted Research: A Framework for Responsible Delegation, Verification, and Epistemic Value8h◆PALATE: Peculiar Application of the Law of Total Expectation to Enhance the Evaluation of Deep Generative Models8h◆WoW-Bench: Evaluating Fine-Grained Acoustic Perception in Audio-Language Models via Marine Mammal Vocalizations8h◆When Synthetic Speech Is All You Have: Better Call GRPO8h◆Reducing belief in conspiracy theories as they unfold using large language models8h◆Harnessing Magnitude-Only and Complex Measurements for Improved Dynamic MRI Reconstruction with Learned Priors8h◆EDISCO: Equivariant DIScrete Diffusion for Euclidean Combinatorial Optimization8h◆Composing What Each Teacher Learned: Delta Distillation for Multi-Teacher On-Policy Learning8h◆CRISP: Fixing Flying Pixels in Latent LiDAR Generation via Diffusion Decoding8h◆WeGR: Towards Unified Generative Retrieval via Behavior-aware Tokenization and Preference Alignment8h◆StartLux-Decision: AutoThink Decision Models with Reinforcement Learning for Calibrated Deliberative Decisions8h◆Many Steps into One: Reasoning Contraction and the Limits of Safe Memory Reuse for LLM Agents8h◆Secure Agentic Coding through Counterexample-Grounded Feedback8h◆Policy Search in Code Space for Multi-Agent Pathfinding8h◆TamedFlow: Trajectory-Aware Distillation for Teacher-Assisted Diffusion Sampling8h◆
News/Introducing GPT-4.5
openai
PublishedFebruary 27, 2025 at 10:00 AM

Introducing GPT-4.5

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

We’re releasing a research preview of GPT‑4.5—our largest and best model for chat yet. GPT‑4.5 is a step forward in scaling up pre-training and post-training.

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
↗
openai
Read original ↗All from openai →

No replies yet. Be first.

Source
↗
openai
Read original ↗All from openai →
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 openai ↗
PrivacyTermsRefundsLegal notice|AboutMethodologyContact

© 2026 Databubble

Built by Marouane Gazouzi · Readyo, AI interview coach

HomeModelsNews