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The era of enterprises stitching together prompt chains and shadow agents is nearing its end as more options for orchestrating complex multi-agent systems emerge. As organizations move AI agents into production, the question remains: "how will we manage them?"Google and Amazon Web Services offer fundamentally different answers, illustrating a split in the AI stack. Google’s approach is to run agentic management on the system layer, while AWS’s harness method sets up in the execution layer. The debate on how
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An East Bay apartment complex has been bought at a price that's well below its prior value. Read more ›
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A PG&E Corp. unit has bought a San Jose building in a move to bolster the utility's South Bay operations. Read more ›
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The new AI-powered cursor will allow Gemini in Chrome users to compare products, visualize, and more. Read more ›
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Bitcoin rolled back to $81,200 after dipping to $79,800 on Tuesday's hotter-than-expected U.S. inflation reading, while BNB zoomed 2.5% over 24 hours and dogecoin added 1.3% as crypto funds saw their strongest weekly inflows in months. Read more ›
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Nio is swapping more than 1 million EV batteries a week, as China pulls away on the innovative EV charging technology Read more ›
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Dry your eyes. The billionaire CEO of the world's most valuable company gets to go on this once-in-a-lifetime trip. Read more ›
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This series features conversations between FT journalists and the technology industry’s leaders, innovators, and thinkers. In the latest instalment, Amazon’s Panos Panay, the head of the group’s device unit talks about the hardware push that follows Alexa+ Read more ›
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The complaint says ChatGPT started giving Sam Nelson advice about drug use with the launch of GPT-4o. Read more ›
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The goodwill of middle-aged consumers won’t be enough to generate a meaningful return Read more ›
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Rocket maker’s chief tells staff it will need outside capital to meet ambitious launch plans Read more ›
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Executive tasked with driving ‘beauty’ and profitability at group’s device unit on hardware push that follows Alexa+ Read more ›
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We are looking for organisations that have done most to increase revenues in England, Scotland, Wales and Northern Ireland Read more ›
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City has ambitions to become regional centre for innovation, but is competing with more established rivals Read more ›
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The little plumber is a bulwark of intellectual property as rising chip prices pressure the company Read more ›
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Investors hunt for winners in market that for years has lagged behind Wall Street’s rally Read more ›
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A new leak shows Pixels could be getting custom accent color sliders and new theme intensity presets. Read more ›
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If you've ever noticed an "L" on your car's gearshift along with the other letters, here's what it means, what it does, and when you might want to use it. Read more ›
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VentureBeat
Presented by NutanixAcross industries, organizations are focused on how to move from AI pilots, proofs of concept, and cloud-based experimentation to deploying it at scale — across real workloads, for real users, in real business environments. VentureBeat spoke with Tarkan Maner, president and chief commercial officer at Nutanix, and Thomas Cornely, EVP of product management, about what that transition demands, and what it will take to get it right.“AI in... Read more ›
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There's an app for nearly every imaginable user and use case these days, but one thing they all have in common is that they're centered around one device: the smartphone.That changes today as Hugging Face, the 10-year-old New York City startup best known for being the go-to place online to host and use cutting-edge, open-source AI models, agents and applications, launches a new App Store for Reachy Mini, its low-cost... Read more ›
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In a world where a viral TikTok video can cause a brand to trend globally in mere hours, the traditional market research cycle — often spanning 12 weeks — is becoming a liability. The lag between a survey question and the answers from a wide (or targeted) pool of respondents has become a primary bottleneck for Fortune 500 decision-makers who are forced to navigate volatile geopolitical and economic shifts with... Read more ›
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Picture this scenario: An Anthropic Skill scanner runs a full analysis of a Skill pulled from ClawHub or skills.sh. Its markdown instructions are clean, and no prompt injection is detected. No shell commands are hiding in the SKILL.md. Green across the board.The scanner never looked at the .test.ts file sitting one directory over. It didn’t need to. Test files aren’t part of the agent execution surface, so no publicly documented... Read more ›
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Presented by Zeta GlobalThe gap between what AI promises and what it delivers is not subtle. The same model can produce precise, useful output in one system and generic, irrelevant results in another. The issue is not the model. It's the context.Most enterprise systems were not built for how AI operates. Data is scattered across tools. Identity is inconsistent. Signals arrive late or not at all. Systems record events but... Read more ›
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Even as leading AI providers like OpenAI and Anthropic battle over the compute to train and release ever larger, more powerful models, other labs are going in a different direction — pursuing the development of smaller, more efficient models and often open sourcing them. The latest worth paying attention to comes from the lesser-known Palo Alto startup Zyphra, which this week released its new reasoning, mixture-of-experts (MoE) language model, ZAYA1-8B,... Read more ›
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Every LangChain pipeline your team hardcodes starts breaking the moment the query distribution shifts — and it always shifts. That bottleneck is what Sakana AI set out to eliminate.Researchers at Sakana AI have introduced the "RL Conductor," a small language model trained via reinforcement learning to automatically orchestrate a diverse pool of worker LLMs. Conductor dynamically analyzes inputs, distributes labor among workers, and coordinates among agents.This automated coordination achieves state-of-the-a Read more ›
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Anthropic on Tuesday unveiled a suite of updates to its Claude Managed Agents platform at its second annual Code with Claude developer conference in San Francisco, introducing a new capability called "dreaming" that lets AI agents learn from their own past sessions and improve over time — a step toward the kind of self-correcting, self-improving AI systems that enterprises have demanded before trusting agents with production workloads.The company also moved... Read more ›
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Presented by SAPThe enterprise software industry has undergone a fundamental shift, and vendors are adapting their approaches to better protect the customers who rely on them. For years, every global platform vendor running multi-tenant cloud infrastructure has maintained documented rate limits, usage controls, and restrictions on the use of undocumented internal interfaces. CRM platforms impose daily API call limits per organization, enforce platform-layer limits, and maintain a strict separation between... Read more ›
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For the last 24 months, one narrative justified every over-provisioned data center and bloated IT budget: the GPU scramble. Silicon was the new oil, and H100s traded like contraband. Reserve capacity now or your enterprise would be left behind.The bill is now due, and the CFO is paying attention. Gartner estimates AI infrastructure is adding $401 billion in new spending this year. Real-world audits tell a darker story: average GPU... Read more ›
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13.05.2026 01:09
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