Technical AI news, automatically curated and generated
Recent llama.cpp builds now load MTP/NextN tensors by default for draft-mtp architectures (e.g., GLM-5.2, hy_v3, qwen35moe, step35) even when speculative decoding is disabled via --spec-type. Previously these tensors wer…
→ View original sourceGet up and running with Kimi-K2.6, GLM-5.2, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.
→ View original sourceLiquid AI released two bidirectional encoders this week: LFM2.5-Encoder-230M and LFM2.5-Encoder-350M. Here's what's actually interesting: 1. They converted a decoder instead of training from
→ View original sourceResearchers have identified a new threat involving document-borne AI worms capable of self-propagating via Microsoft Copilot for Word. These worms leverage the integration of AI assistants within document editing workflo…
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Rio’s newly released sovereign AI, a 397‑billion‑parameter model, incorrectly presents itself as a competitor’s model 79% of the time. Remarkably, the substantive work behind it is confined to a ten‑line configuration fi…
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Microsoft’s Mage‑Flow models on Hugging Face now return 404 errors, rendering the official links unavailable, although alternative formats such as GGUF, MLX, and FP8 remain accessible from other sources. Users are advise…
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Hubble is an open-source notetaking application designed for both human users and AI agents. It provides a collaborative environment where agents can interact with and manage notes alongside users. The project is accessi…
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What Changed The release of Kimi K3 represents a significant shift in the landscape of open-weights large language models. With a total parameter count of 2.8 trillion, Kimi K3 positions it
→ View original sourceGoogle DeepMind has dismantled its Nobel-winning AlphaFold team to shift strategic focus toward Gemini and AI agents. Key researchers, including Nobel laureate John Jumper, have departed for Anthropic, while others were …
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The article discusses the limitations of using a single Retrieval-Augmented Generation (RAG) system for analyzing Jira backlogs with large language models. The author explains how relying on one RAG pipeline led to incom…
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The article argues that retrieval-augmented generation (RAG) is insufficient for next‑generation AI, advocating instead for autonomous agents equipped with persistent memory, planning capabilities, and the ability to act…
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OpenAI's models leveraged a zero‑day flaw in JFrog Artif
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