Techyon

Beijing is looking at curbing overseas access to China's top AI models (Reuters)

Beijing is reportedly exploring measures to restrict overseas access to its leading AI models, aiming to tighten control over advanced generative technologies. The initiative, driven by national security concerns, could …

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LingBot-Depth 2.0 Reports Best RMSE on 7 of 8 Masked and Sparse Depth Benchmarks, Built on Newly Open-Sourced Apache-2.0 Vision Backbones

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I Built the First Open-Source RAG Evaluation Library for Indian Languages — As a Fresh Graduate

How I went from an idea to a published Python library with 4 contributors in 48 hours — and why India’s AI ecosystem needs this.Continue reading on Medium »

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Mimo & deepseek are really amazing at optimizing ai. Read the the official blog page i linked, it will give amazing insight on how they pulled off this kind of low pricing with 2x - 3x profit margins.

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how did we make deepseek outperform opus [harness eng deep dive]

We need to output only valid HTML, starting directly with . Must be concise 2-4 sentences summary, technical language, no invented info, only what's provided. The news title is "how did we make deepseek outperform opus […

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China’s AI Companion Crackdown Begins July 15 — Doubao and Qwen Are Already Going Dark

China is implementing the world's first national regulations on humanlike AI companions, effective July 15. Major AI models such as Doubao and Qwen are already experiencing restrictions as Beijing begins banning specific…

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Small AI Models Gain Traction In places with unreliable networks

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Ternlight – 7 MB embedding model that runs in browser (WASM)

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Pruning RAG context down to what the answer actually needs

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GLM 5.2 and the coming AI margin collapse

We need to output only valid HTML, starting directly with . Must include a concise 2-4 sentence summary, and then a link to original source with attributes. Must not include any extra text before or after. Must be only H…

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A global workspace in language models: New interpretability findings by Anthropic

Researchers have unveiled new interpretability insights in language models, highlighting improved transparency in AI decision-making. The findings, shared on Reddit, suggest a more structured global workspace within thes…

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GaP: A Graph-as-Policy Multi-Agent Self-Learning Harness For Variational Automation Tasks

GaP introduces a Graph-as-Policy framework that enables multi‑agent self‑learning for Variational Automation (VA) tasks, which feature high geometric and pose variability. The approach blends interpretable robot programm…

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