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Grafana Tempo 2.9 Supercharges Distributed Tracing with LLM Integration

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Grafana Tempo 2.9 debuts with MCP server support and TraceQL metrics sampling, enhancing data analysis and query efficiency.

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LangChain Secures $125M and Launches LangChain & LangGraph 1.0

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SUSE Linux Enterprise 16 Launches with AI for Smarter Operations

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SUSE releases Linux Enterprise Server 16, integrating AI to boost efficiency and cut costs, with features like secure AI integration and a 16-year support lifecycle.

SUSE Linux Enterprise 16 Launches with AI for Smarter Operations
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Ubuntu 25.10 Takes a Bold Leap — Targets Modern CPUs with New amd64v3 Architecture

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Ubuntu 25.10 introduces support for amd64v3 architecture variants, enhancing performance by targeting specific silicon variants, with full support expected in the 26.04 LTS release.

Ubuntu 25.10 Takes a Bold Leap — Targets Modern CPUs with New amd64v3 Architecture
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Google Introduces Quantum-Safe KEMs in Cloud KMS for Future Security

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Google introduces quantum-safe KEMs in Cloud KMS to counter future quantum computing threats, urging organizations to transition to post-quantum cryptography.

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DeepSeekMath-V2 is a state-of-the-art mathematical reasoning model built on the DeepSeek-V3.2-Exp-Base architecture with 685 billion parameters. Unlike conventional math-focused language models that optimize only for correct final answers, DeepSeekMath-V2 introduces a self-verification framework where the model generates, inspects, and validates its own mathematical proofs.

This approach enables rigorous, step-by-step reasoning suitable for theorem proving, scientific research, and domains requiring high-integrity logic. The model is trained through a generation-verification loop involving a dedicated LLM-based verifier and reinforcement learning optimized for proof correctness rather than answer matching.

DeepSeekMath-V2 achieves gold-level scores on IMO 2025 and CMO 2024, along with a groundbreaking 118/120 on the Putnam 2024 contest. Released under the Apache 2.0 license and hosted on Hugging Face, it is fully open source for research and commercial use.