Gemini
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The demand for fast, affordable Large Language Model (LLM) inference is at an all-time high. Every additional millisecond of latency and every extra dollar per million tokens directly impacts product
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If you have an M1/M2/M3/M4 Mac, you can run real LLMs entirely on-device — no API keys, no cloud bills, and no prompts leaving your machine. Two tools dominate on Apple Silicon: MLX (Apple's own ML fr
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Perhaps it is so if you consider how western labs gatekeep models before release.   submitted by   /u/New_Equinox   to   r/singularity [link]  
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Cloudflare has open‑sourced its internal AI agent workspace, a visual platform that lets users—regardless of coding experience—design, deploy, and orchestrate AI‑driven workflows. Built originally for employee use, the s…
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AMD has acquired AI chip startup Taalas to enhance inference performance. The acquisition aims to boost efficiency by etching AI models directly into silicon. This strategic move is designed to optimize hardware-level ex…
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Anthropic's CEO has voiced concern that recent hires are motivated mainly by financial compensation. The company also drew criticism for recruiting an event planner at a salary reportedly six times the industry standard.…
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The AI system makes genetically distant versions of a bacteria-killing virus.
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vLLM is a high-throughput LLM inference system designed to optimize GPU utilization for serving large language models. The article provides a detailed architectural breakdown of
→ View original sourceThe paper introduces Activity Frames, a deterministic, zero-model pipeline that compiles passively captured screen activity into structured memory for computer-use agents. It segments local screen capture streams into ty…
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Castform and Neon have demonstrated a method to outperform frontier models like GPT-5.6 on retrieval tasks. By utilizing open models, they achieved superior results while reducing costs by 100x. Read original
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