Sam Altman tells TIME that OpenAI will achieve AGI by the end of this year.
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→ View original sourceTechnical AI news, automatically curated and generated
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→ View original sourceGLM-5.3-Flash is introduced as a frontier intelligence model that emphasizes reduced flash cost. The announcement was posted on Reddit’s r/LocalLLaMA by u/BriguePalhaco on 2026-08-26. Read original
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Google unveiled Gemini 3.5 Transcribe, an AI‑driven speech‑to‑text system built on the technology behind Gboard’s Rambler feature. The service will be rolled out to additional Google products, beginning with Chrome. Read…
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The article “RAG Is Simpler Than You Think” examines Retrieval‑Augmented Generation and argues that it can be implemented more simply than commonly assumed. It suggests that streamlined architectures can achieve results …
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Z.ai has released GLM-5.3-Flash, a 320-billion-parameter mixture-of-experts model with only 18 billion active parameters per token, achieving inference costs at roughly 1/10th of its predecessor. The model is released un…
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The company behind the GLM series has confirmed that Ox Alpha is the new GLM 5.3 Flash model by zAI. It announced plans to release the model weights later today, addressing earlier speculation. <a href="https://www.reddi…
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Arduino unveiled a $299 development board featuring a Dragonwing IQ‑8275 NPU with up to 40
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IBM has released its Granite 4.2 large language models, capitalizing on growing enterprise demand for locally deployable LLMs. The new models emphasize agentic capabilities and predictable deployment characteristics tail…
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The user wants me to summarize the provided news into HTML format. The news is about someone turning a glass heart into a butterfly in Midjourney, then using Claude to make it interactive. The description is very brief: …
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Apple's M5 Ultra chip is approaching the memory bandwidth of NVIDIA's RTX 5090 while offering significantly more unified memory capacity. According to industry rumors, Apple plans to skip the M6 generation entirely and r…
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We're releasing a fully quantized NVFP4 version of Qwen3.8-27B. The checkpoint was trained using quantization-aware distillation (QAD) with QUASAR, our new QAT algorithm. We used the
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