Tous 674 🔐 Cybersécurité 415 🤖 Intelligence Artificielle 253 💻 Tech & Transformation Digitale 6
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Cybersécurité

Plex Urges Immediate Updates After Patching Multiple Undisclosed Security Flaws

Plex is urging users to update their instances to the latest version following the release of an update that patches multiple security flaws. The fixes are available in Plex Media Server 1.43.3 and Plex Desktop 1.115.0. The streaming media service did not elaborate on what those issues are, but said CVE identifiers have been requested for them. "We recommend all server…

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Cybersécurité

Google Releases Chrome Update to Patch Actively Exploited V8 Zero-Day

Google on Thursday released security updates to patch 12 vulnerabilities, including one that has come under active exploitation in the wild. The high-severity vulnerability, tracked as CVE-2026-85046 (CVSS score: 8.8), has been described as a type confusion bug in V8, Chrome's JavaScript and WebAssembly engine. "Type confusion in V8 in Google Chrome prior to 152.0.7977.82…

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Intelligence Artificielle

OpenAI : la course aux modèles de pointe avec GPT-6 Astra

OpenAI lance GPT-6 Astra avec l’ambition d’en faire son modèle le plus puissant à ce jour. Cette annonce s'inscrit dans (...)

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Intelligence Artificielle

Drotek : de l'évènementiel à la défense et l'armement

Drotek, l’entreprise française spécialisée dans les drones lumineux et les technologies embarquées, se lance dans le (...)

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Cybersécurité

GPT-6 Astra Scores 100% on ExploitBench as OpenAI Blocks PoC Exploit Requests

OpenAI on Thursday officially unveiled GPT‑6 Astra, which it described as the "world's most intelligent and aligned model." The development comes days after the artificial intelligence (AI) company said the model had reached the "Critical" cybersecurity capability threshold under its Preparedness Framework. "Astra is state-of-the-art on computer use, browsing, software…

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Intelligence Artificielle

Margins, Not Windows: Training-Free Per-Step Lossy Speculative Decoding

arXiv:2609.02897v1 Announce Type: new Abstract: Speculative decoding accelerates LLM inference by drafting candidate tokens and verifying them in parallel. Tree-attention drafters such as EAGLE-3 are widely adopted, yet typically hold two decisions fixed: (1) a strict token-match verification rule and (2) a static draft-tree shape. Prior work relaxes each in isolation under…

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