Apple targets dozens of OpenAI employees with legal letters
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Zyphra Releases ZUNA1.1: An Apache 2.0 EEG Foundation Model With Variable-Length Inputs From 0.5 To 30 Seconds
Zyphra Releases ZUNA1.1: An Apache 2.0 EEG Foundation Model With Variable-Length Inputs From 0.5 To 30 Seconds Most EEG foundation models only work on the clean, fixed-length slices
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ik_llama.cpp vs llama.cpp: Qwen3.6-35B-A3B-MTP Text + Vision on Apple M5 Max
On an Apple M5 Max, ik_llama.cpp achieved a 20.8 % overall speedup over llama.cpp for the Qwen3.6‑35B‑A3B‑MTP model. Its gains were most pronounced in text generation, with a 31.4 % throughput increase, followed by 16.0 …
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The LLM Critics Are Right. I Use LLMs Anyway
The article titled 'The LLM Critics Are Right. I Use LLMs Anyway' by u/JeremyTheo acknowledges criticisms of large language models while asserting continued personal use. The author likely explores a nuanced perspective …
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VideoChat3: Fully Open Video MLLM for Efficient and Generalist Video Understanding
VideoChat3 introduces a fully open-source multimodal large language model (MLLM) designed for efficient and generalizable video understanding across motion analysis, long-form video, and streaming interactions. The model…
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Partition, Prompt, Aggregate: Statistical Self-Consistency in Language Models
The user wants a concise HTML summary of the provided news about a research paper. The news is about "Partition, Prompt, Aggregate: Statistical Self-Consistency in Language Models" from arXiv. The description is cut off,…
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RxBrain: Embodied Cognition Foundation Model with Joint Language-Visual Reasoning and Imagination
Hy-Embodied-RxBrain is an embodied cognition foundation model that jointly reasons over language and visual imagination to produce embodied plans. It merges high‑level task reasoning with physical state modeling in a sin…
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Chat2Scenic: An Iterative RAG-Based Framework for Scenario Generation in Autonomous Driving
Chat2Scenic is an iterative RAG-based framework designed to automate the generation of executable simulation scripts for autonomous driving validation. The approach addresses existing trade-offs in scenario generation by…
→ View original sourceA continuous dynamical system drives word embeddings to a stable equilibrium — 4 statistical invariants stay constant, and word relations get 4× stronger vs. controls
Research demonstrates that pre-trained word embeddings evolve through a continuous dynamical system into a stable equilibrium, marked by four invariant statistical properties. Over 5,000 integration steps using GloVe 300…
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How AI Is Transforming Modern Cars: Autonomous Driving, EV Technology, and the PCB Engineering…
From Tesla Full Self-Driving chips to Waymo’s advanced sensor stack, today’s vehicles are becoming AI-powered computers on wheels — driven…Continue reading on Medium »
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