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Apple is racing to make Siri more agentic
Bloomberg's Mark Gurman says CEO John Ternus is pressuring AI czar Craig Federighi to accelerate the Siri roadmap and deliver a powerful AI agent that can…
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국내외 뉴스 · 기업 공식 발표 · 논문 · 영상 · 커뮤니티 소식을 한국시간 기준으로 제공합니다. 같은 소식은 하나로 묶고, 기본은 핵심만 보여 드립니다.
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Bloomberg's Mark Gurman says CEO John Ternus is pressuring AI czar Craig Federighi to accelerate the Siri roadmap and deliver a powerful AI agent that can…
TL;DR: Opus 5.5 may not have been nerfed. Anthropic appears to be running server-side experiments that change how Claude behaves.
다른 보도 r/ChatGPT
World models enable agents to plan and learn from imagined experience, but in an unfamiliar environment they must learn its mechanics from limited interaction.
We introduce Sage-Taiyi, a metacognition-inspired architecture that uses accumulated scientific understanding to guide what to investigate next and how to…
Tactile sensing is an indispensable modality for contact-rich dexterous manipulation, a capability that hints at the ultimate frontiers of embodied…
Agentic reinforcement learning (RL) and multi-teacher on-policy distillation (MOPD) offer complementary routes to post-training.
Self-supervised learning in Vision Transformer models, such as DINO, enables robust visual perception without requiring labeled data by leveraging large-scale…
World action models jointly predict video and actions conditioned on language.
Despite impressive progress, existing feed-forward large 3D reconstruction models produce a single, irrevocable prediction.
Many of the most consequential advances promised by AI, from curing diseases and inventing new technologies to formulating new scientific theories, are…
We introduce FraudBench, an evaluation of large language models' (LLMs) propensities to recommend, assist, or directly take actions that would constitute fraud…
In this work, we study whether frontier agent can continually improve real-world AI infrastructure over long horizons.
Small multimodal models can misjudge emotion when words, voice, and visual cues conflict.
Discrete autoregressive modeling, notably through next-token prediction, has become a cornerstone of modern language models.
While modern video generative models achieve remarkable visual fidelity, they remain noticeably brittle when generating physically plausible dynamics and…
Trained action policies write manipulation skill into network weights, tying what is learned to the distribution it is learned from.
Protein engineering requires navigating rugged fitness landscapes, where small sequence changes can produce large functional differences, but experimental…
Reinforcement learning (RL) can improve an agent's task capability while reinforcing behavior that violates contextual execution requirements.
Scientific discovery requires ideas that are original, useful, and non-obvious.
Early successes on agentic robotics point to a potential paradigm shift toward using coding agents to control robots.
LiDAR point clouds and 3D semantic occupancy represent two distinct modalities capturing fine-grained metric geometry and dense volumetric semantics…
AAA games offer a rich testbed for evaluating agent perception, reasoning, and control.
Agentic workloads are a major source of LLM inference demand. Existing prefill--decode (PD) disaggregated serving systems offer limited flexibility for runtime…
Prompt them their rights. The post Microsoft AI CEO Says He’s Open to Agents Deserving Rights If He Sees the Right Evidence appeared first on Futurism.
I ran into this last night after I empties my trash can, and I instantly regretted it.