According to research by EpochAI, open-weight models lag behind frontier closed-source models by four months. Four months. That's very little. And impressive at the same time.
RESEARCH
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Testing Omni to add labelled bounding boxes around monster truck and flag
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A quick test of using Omni to edit a video and add labelled bounding boxes around objects.
— fofr (@fofrAI) 29 mai 2026
> Add a labelled bounding box around the monster truck and the flag pic.twitter.com/CZUy3LhZOuA quick test of using Omni to edit a video and add labelled bounding boxes around objects. > Add a labelled bounding box around the monster truck and the flag
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AI grants researchers freedom to pursue crazier ideas
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AI can give researchers the freedom to pursue “crazier” ideas.
— OpenAI (@OpenAI) 29 mai 2026
For Terence Tao, AI creates more room to experiment, test unexpected paths, and discover what might otherwise stay out of reach. pic.twitter.com/InXb9Ahq2YAI can give researchers the freedom to pursue “crazier” ideas. For Terence Tao, AI creates more room to experiment, test unexpected paths, and discover what might otherwise stay out of reach.
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AI reduces cognitive friction in research and expands possibilities
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In conversation with OpenAI’s @markchen90
, Terence reflects on a future where AI reduces the cognitive friction of research, helps preserve the paths behind discovery, and expands what mathematicians and scientists can attempt. -
Command A+ Translation Model Outperforms on WMT24++ Benchmark
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The improvements run wide. Across all major European languages, Command A+ consistently pulls ahead of competitors on WMT24++ (xCOMET-XL): +2.4 pts in French +1.9 pts in Spanish +0.9 pts in German Higher translation quality means fewer corrections, stronger retrieval,
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Cohere Command A+ Sets Machine Translation Benchmark
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Command A+ sets a new high for Cohere's machine translation capabilities. Opening a clear gap over open source peers Mistral Medium 3.5, DeepSeek, & OpenAI's gpt-oss, as well as Claude Opus 4.6. A+ also outperforms specialist systems like Google Translate. RWS is better… but
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Defensive acceleration in biology with Rosalind
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defensive acceleration in biology with Rosalind:
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Qwen-VLA: Unified Vision-Language-Action Robot Learning
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“Qwen-VLA: Unifying VLA Modeling across Tasks, Environments, and Robot Embodiments” They turned robot learning into one vision-language-action modeling problem instead of separate policies for each task, environment, and robot body. So by adding a DiT flow-matching action
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Gemini Embedding 2: Native Multimodal Embedding Model
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"Gemini Embedding 2" This paper turns Gemini into one native embedding model for text, image, video, audio, and interleaved multimodal inputs. Instead of converting everything into text first, it embeds raw modalities directly into one shared space, improving audio search,
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MiniMax M2.7 model and API documentation
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… and for your reference, here is the official @MiniMax_AI documentation: – MiniMax M2.7 official page: https://
minimax.io/models/text/m27
– MiniMax API docs: https://
platform.minimax.io/docs/api-refer
ence/api-overview
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