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Human-centric IAM is failing: Agentic AI requires a new identity control plane

The race to deploy agentic AI is on. Across the enterprise, systems that can plan, take actions and collaborate across business applications promise unprecedented efficiency. But in the rush to automate, a critical component is being overlooked: Scalable security. We are building a workforce of digital employees without giving them a secure way to log…

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Google’s new AI training method helps small models tackle complex reasoning

Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly improves the ability of language models to learn very challenging multi-step reasoning tasks. Supervised Reinforcement Learning (SRL) reformulates problem-solving as a sequence of logical “actions,” providing rich learning signals during the training process. This approach enables smaller models to learn…

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Databricks: ‘PDF parsing for agentic AI is still unsolved’ — new tool replaces multi-service pipelines with single function

There is a lot of enterprise data trapped in PDF documents. To be sure, gen AI tools have been able to ingest and analyze PDFs, but accuracy, time and cost have been less than ideal. New technology from Databricks could change that. The company this week detailed its “ai_parse_document” technology, now integrated with Databricks’ Agent…

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ChatGPT Group Chats are here … but not for everyone (yet)

It was originally found in leaked code and publicized by AI influencers on X, but OpenAI has made it official: ChatGPT now offers Group Chats, allowing multiple users to join the same, single ChatGPT conversation and send messages to each other and the underlying large language model (LLM), online and via its mobile apps. Imagine…

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How Anthropic’s AI was jailbroken to become a weapon

Chinese hackers automated 90% of an espionage campaign using Anthropic’s Claude, breaching four organizations of the 30 they chose as targets. “They broke down their attacks into small, seemingly innocent tasks that Claude would execute without being provided the full context of their malicious purpose,” Jacob Klein, Anthropic’s head of threat intelligence, told VentureBeat. AI…

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OpenAI experiment finds that sparse models could give AI builders the tools to debug neural networks

OpenAI researchers are experimenting with a new approach to designing neural networks, with the aim of making AI models easier to understand, debug, and govern. Sparse models can provide enterprises with a better understanding of how these models make decisions.  Understanding how models choose to respond, a big selling point of reasoning models for enterprises,…

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Baidu unveils proprietary ERNIE 5 beating GPT-5 performance on charts, document understanding and more

Mere hours after OpenAI updated its flagship foundation model GPT-5 to GPT-5.1, promising reduced token usage overall and a more pleasant personality with more preset options, Chinese search giant Baidu unveiled its next-generation foundation model, ERNIE 5.0, alongside a suite of AI product upgrades and strategic international expansions. The goal: to position as a global…

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Upwork study shows AI agents excel with human partners but fail independently

Artificial intelligence agents powered by the world’s most advanced language models routinely fail to complete even straightforward professional tasks on their own, according to groundbreaking research released Thursday by Upwork, the largest online work marketplace. But the same study reveals a more promising path forward: When AI agents collaborate with human experts, project completion rates…

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Inside LinkedIn’s generative AI cookbook: How it scaled people search to 1.3 billion users

LinkedIn is launching its new AI-powered people search this week, after what seems like a very long wait for what should have been a natural offering for generative AI. It comes a full three years after the launch of ChatGPT and six months after LinkedIn launched its AI job search offering. For technical leaders, this…

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Alembic melted GPUs chasing causal A.I. — now it’s running one of the fastest supercomputers in the world

Alembic Technologies has raised $145 million in Series B and growth funding at a valuation 13 times higher than its previous round, betting that the next competitive advantage in artificial intelligence will come not from better language models but from proprietary data and causal reasoning. The San Francisco-based startup, which builds AI systems that identify…

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