#vision

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5.0 Anthropic CEO Amodei calls for slower AI development and shared safety rules — 11 src2.7 Agility Robotics unveils Digit 5 humanoid for warehouses and factories — 2 src2.5 Apple ships rebuilt Siri with Google Gemini, but not in the EU — 2 src2.2 Siri AI in macOS 27 Golden Gate: FAQ, Germany availability, privacy questions — 2 src1.8 Sam Altman says OpenAI will not go public in 2026, citing AI safety concerns — 5 src1.4 OpenAI contractors review real ChatGPT conversations to rate responses, report says — 2 src1.4 Anthropic data retention policy prompts firms to limit Claude use for sensitive work — 1 src1.4 VoiceCodeBench arXiv paper proposes benchmark for exact structured-token recovery in speech recognition — 1 src1.4 Arabic-Russian Parallel Corpus and LLM Benchmark for Scientific Text — 1 src1.4 Study Analyzes Self-Reported Limitations in NLP Research — 1 src5.0 Anthropic CEO Amodei calls for slower AI development and shared safety rules — 11 src2.7 Agility Robotics unveils Digit 5 humanoid for warehouses and factories — 2 src2.5 Apple ships rebuilt Siri with Google Gemini, but not in the EU — 2 src2.2 Siri AI in macOS 27 Golden Gate: FAQ, Germany availability, privacy questions — 2 src1.8 Sam Altman says OpenAI will not go public in 2026, citing AI safety concerns — 5 src1.4 OpenAI contractors review real ChatGPT conversations to rate responses, report says — 2 src1.4 Anthropic data retention policy prompts firms to limit Claude use for sensitive work — 1 src1.4 VoiceCodeBench arXiv paper proposes benchmark for exact structured-token recovery in speech recognition — 1 src1.4 Arabic-Russian Parallel Corpus and LLM Benchmark for Scientific Text — 1 src1.4 Study Analyzes Self-Reported Limitations in NLP Research — 1 src

2 curated events

papersTODAY 04:00 UTC

Study probes how multimodal LLMs describe bistable images like the duck-rabbit

A new arXiv paper examines whether multimodal large language models report bistable images, such as the duck-rabbit figure, in ways comparable to humans. Humans typically perceive only one interpretation of such images at a time, and the research tests whether MLLMs show a similar pattern. The work falls in the area of model perception and evaluation research.

multimodal/vision/evaluation/research

modelsSEP 12 05:56 UTC

DeepSeek releases v4.1-Flash, a 763B-parameter encoder-decoder model with vision

DeepSeek has introduced v4.1-Flash, a large-scale model with 763B total parameters built on a new causal encoder-decoder design that also handles vision input. Commentary from Latent Space and Sebastian Raschka argues the release is significant enough that it should have been branded as a new major version rather than a point update. Details on training, availability and licensing were not included in the report.

deepseek/model-release/vision/encoder-decoder