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5.0 Anthropic CEO Amodei calls for slower AI development and shared safety rules11 src2.7 Agility Robotics unveils Digit 5 humanoid for warehouses and factories2 src2.5 Apple ships rebuilt Siri with Google Gemini, but not in the EU2 src2.2 Siri AI in macOS 27 Golden Gate: FAQ, Germany availability, privacy questions2 src1.8 Sam Altman says OpenAI will not go public in 2026, citing AI safety concerns5 src1.4 OpenAI contractors review real ChatGPT conversations to rate responses, report says2 src1.4 Anthropic data retention policy prompts firms to limit Claude use for sensitive work1 src1.4 VoiceCodeBench arXiv paper proposes benchmark for exact structured-token recovery in speech recognition1 src1.4 Arabic-Russian Parallel Corpus and LLM Benchmark for Scientific Text1 src1.4 Study Analyzes Self-Reported Limitations in NLP Research1 src5.0 Anthropic CEO Amodei calls for slower AI development and shared safety rules11 src2.7 Agility Robotics unveils Digit 5 humanoid for warehouses and factories2 src2.5 Apple ships rebuilt Siri with Google Gemini, but not in the EU2 src2.2 Siri AI in macOS 27 Golden Gate: FAQ, Germany availability, privacy questions2 src1.8 Sam Altman says OpenAI will not go public in 2026, citing AI safety concerns5 src1.4 OpenAI contractors review real ChatGPT conversations to rate responses, report says2 src1.4 Anthropic data retention policy prompts firms to limit Claude use for sensitive work1 src1.4 VoiceCodeBench arXiv paper proposes benchmark for exact structured-token recovery in speech recognition1 src1.4 Arabic-Russian Parallel Corpus and LLM Benchmark for Scientific Text1 src1.4 Study Analyzes Self-Reported Limitations in NLP Research1 src
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3 curated events
papersTODAY 04:00 UTC

LLaDA-UI Applies Block-wise Diffusion Decoding to Vision-Language GUI Agents

A new arXiv paper introduces LLaDA-UI, a method that adapts diffusion large language models to vision-language agents that operate graphical user interfaces. Diffusion decoding generates tokens in parallel blocks and in arbitrary order, which the authors argue suits latency-sensitive GUI tasks. The work positions interface agents as a testbed for this alternative to standard left-to-right generation.

papersTODAY 04:00 UTC

BlueLM-GUI Technical Report: Real-Device Flywheel for Self-Improving Mobile GUI Agents

A new arXiv technical report introduces BlueLM-GUI, a mobile GUI agent trained end-to-end on real devices rather than in simulated sandboxes. The authors argue that sandbox-based training creates a mismatch with production conditions and propose a self-improving "flywheel" loop that collects and reuses real-device interaction data. It targets the practical obstacles industrial teams face when deploying mobile agents, including data collection cost and device-specific behavior.

papersSEP 12 04:00 UTC

OmegaUse-SOP: SOP Engineering for Professional Computer Use from Human Demonstrations

A new arXiv paper introduces OmegaUse-SOP, a method that turns human demonstrations into structured standard operating procedures to guide large language model agents operating graphical user interfaces. The work targets professional-grade computer use, where agents must follow repeatable multi-step workflows rather than single conversational replies. It frames SOP engineering as a way to make GUI agents more reliable as they move from chat assistants to tools that act in digital environments.