Deleted OpenAI Video Leaks "mewthree" Checkpoint

// 1h agoNEWS

Deleted OpenAI Video Leaks "mewthree" Checkpoint

A deleted promotional video for a ChatGPT Chrome extension accidentally exposed an internal OpenAI model checkpoint named "mewthree". The brief leak has sparked widespread community discussion and speculation about OpenAI's internal model pipeline and upcoming GPT releases.

// ANALYSIS

Accidental leaks in promotional UI mockups frequently reveal early internal builds and testing codenames.

–The "mewthree" checkpoint was spotted in UI elements within a deleted OpenAI promotional video.
–The leak fuels ongoing community speculation regarding OpenAI's next-generation model architecture and release roadmap.
–Internal codenames highlight active experimentation behind the scenes before public model deployment.

// TAGS

openaimewthreegpt-6chatgptai-modelleak

DISCOVERED

1h ago

2026-07-31

PUBLISHED

1h ago

2026-07-31

RELEVANCE

8/ 10

AUTHOR

WorldofAI

// KEEP READING

More AI developer news from the feed

EXPLORE FULL FEED

NEWS1h ago

Microsoft 365 Copilot hits 30M paid seats

Microsoft reported reaching 30 million paid Microsoft 365 Copilot seats, up from 20 million three months prior, marking the sharpest jump in quarter-over-quarter net seat additions since launch. In addition to individual user seat growth, Microsoft revealed that Agent 365 has registered nearly 40 million agents, reflecting significant enterprise adoption of automated AI workflows and agentic capabilities within the Microsoft 365 ecosystem.

MODEL1h ago

Qwen 3.8 Surfaces on LM Arena as Kinsley

Alibaba's upcoming Qwen 3.8 model has been spotted on LM Arena operating under the anonymous checkpoint name 'Kinsley'. Early benchmark demonstrations highlight the model's notable strength in multi-dimensional code generation, enabling users to generate interactive 3D assets and complex Three.js web environments directly from prompts.

UPDATE2h ago

PaddlePaddle releases PP-OCRv6 with multi-hardware acceleration

PaddlePaddle's latest PP-OCRv6 release introduces major hardware optimizations designed for production document processing. The updated OCR model delivers a 6.1x speedup on Apple M4 devices, achieves an inference time of 0.13 seconds on NVIDIA A100 GPUs, and integrates OpenVINO to yield a 5.2x speedup on standard CPUs.