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New AI framework autonomously optimizes training data, architectures and algorithms — outperforming human baselines

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Why supply chains are the proving ground for automation‑led iPaaS

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RAG precision tuning can quietly cut retrieval accuracy by 40%, putting agentic pipelines at risk

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Context decay, orchestration drift, and the rise of silent failures in AI systems

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Monitoring LLM behavior: Drift, retries, and refusal patterns

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CVSS scored these two Palo Alto CVEs as manageable. Chained, they gave attackers root access to 13,000 devices.

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DeepSeek-V4 arrives with near state-of-the-art intelligence at 1/6th the cost of Opus 4.7, GPT-5.5

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85% of enterprises are running AI agents. Only 5% trust them enough to ship.

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Mystery solved: Anthropic reveals changes to Claude's harnesses and operating instructions likely caused degradation

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OpenAI's GPT-5.5 is here, and it's no potato: narrowly beats Anthropic's Claude Mythos Preview on Terminal-Bench 2.0

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Talking to AI agents is one thing — what about when they talk to each other? New startup Band debuts 'universal orchestrator'

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OpenAI unveils Workspace Agents, a successor to custom GPTs for enterprises that can plug directly into Slack, Salesforce and more

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Google and AWS split the AI agent stack between control and execution

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Are you paying an AI ‘swarm tax’? Why single agents often beat complex systems

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OpenAI launches Privacy Filter, an open source, on-device data sanitization model that removes personal information from enterprise datasets

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Google doesn't pay the Nvidia tax. Its new TPUs explain why.

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Salesforce’s Agentforce Vibes 2.0 targets a hidden failure: context overload in AI agents

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Google’s Gemini can now run on a single air-gapped server — and vanish when you pull the plug

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The modern data stack was built for humans asking questions. Google just rebuilt its for agents taking action.

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Google’s new Deep Research and Deep Research Max agents can search the web and your private data

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