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One of the key challenges of building effective AI agents is teaching them to choose between using external tools or relying on their internal knowledge. But large language models are often trained to blindly invoke tools, which causes latency bottlenecks, unnecessary API costs, and degraded reasoning caused by environmental noise. To overcome this challenge, researchers at Alibaba introduced Hierarchical Decoupled Policy Optimization (HDPO), a reinforcement learning framework that trains agents to balance.
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VentureBeat
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 CFTC is considering its first regulation for prediction markets, as arrests over "insider trading" on everything from military operations to Google Search data continue to stack up. As CoinDesk reports, a notice of proposed rulemaking says "the proposal would establish a structured framework for evaluating whether such contracts involve an activity enumerated in Section […] Read more ›
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The never-ending problem of scammers has made Valve decide to stop producing Steam gift cards. Read more ›
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OpenAI said the effort "sought to exploit and amplify existing public concerns about energy prices and local impacts of data center development." Read more ›
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The delayed Fable reboot is coming to Xbox Series X/S, PS5 and PC on February 23. Read more ›
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We played the opening prologue of the horror sequel, and it's still got ways to bring the scares. Read more ›
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An anonymous reader quotes a report from Wired: Last year, Meta radically overhauled the rules around what content it would allow on its platforms. The company claimed that its own efforts policing speech had gone too far and that it would relax the rules around what speech was allowed. "We have been over-enforcing our rules, limiting legitimate political debate and censoring too much trivial content and subjecting too many people... Read more ›
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Stockton, California, just invested millions of dollars in Flock drones to act as first responders. Read more ›
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Here are some hints and the answers for the NYT Connections puzzle for June 11, No. 1,096. Read more ›
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Potensic unveils the Atom 3, a beginner drone that rivals DJI, thanks to its 1/1.3-inch sensor, 4K 60p video with Log color profile, 50MP stills, 40-minute flight time, upgraded controller and competitive price Read more ›
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NASA finally revealed the astronauts who will test out the agency's commercial Moon landers for the first time. Let's get to know them. Read more ›
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Colleagues discussed the incident on internal message boards, according to documents seen by WIRED. Read more ›
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The smarter, more capable version of Siri is finally here, available in iOS 27, iPadOS 27, and macOS Golden Gate. The updates are limited to developers right now, but there's a lot to look forward to this fall. Subscribe to the MacRumors YouTube channel for more videos. Personal Context is a Siri capability that distinguishes Siri AI from other chatbots like Claude and OpenAI. Siri has access to the data... Read more ›
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Milwaukee's new Striker cordless hammer chisel is the first tool of its kind, and unsurprisingly doesn't come cheap. Here's how much one will set you back. Read more ›
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VentureBeat
Anthropic co-founder and CEO Dario Amodei said it was coming, but it still feels like a milestone: More than 80% of the code merged into Anthropic’s production codebase in May wasn't authored by humans, but by its own AI model, Claude, according to a new report shared by the record-breaking AI startup today.This transformation has triggered an 8x increase in the volume of code shipped per engineer per quarter compared... Read more ›
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Meta's AI support agent bound recovery emails to accounts for whoever asked, and SOCs never saw an alert. An authorized agent writes a log of legitimate transactions, so nothing in the detection stack fired. Attackers asked the bot to make the change, took the one-time code it sent, and ran the password reset, 404 Media reported.No malware, no stolen credentials, and no prompt injection in the sense most security teams... Read more ›
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When someone on a team corrects an AI agent — better prompts, better feedback, better context — that improvement disappears the moment a colleague opens the same tool. The correction doesn't transfer, and the next person starts from zero.The problem compounds in multi-agent workflows, where teams expect agents to share context across users and tasks. Without a shared memory layer, every team member effectively trains a different version of the... Read more ›
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Microsoft used its Build 2026 conference this week to push a clear message: agents are rapidly moving into production throughout enterprise systems, and the winning platform will be the one that gives them reliable context, governance, identity, memory — and secure access to enterprise data. The company announced Microsoft IQ as a context layer across GitHub Copilot, Microsoft Foundry and Copilot Studio; Work IQ APIs coming June 16; Fabric IQ... Read more ›
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For three years, Microsoft's artificial intelligence story has been inseparable from OpenAI. The partnership — cemented by a cumulative investment exceeding $13 billion — gave Microsoft early access to the most advanced AI models on the planet, catapulting its Copilot products into the enterprise mainstream and adding hundreds of billions of dollars to its market capitalization. To the outside world, Microsoft's AI strategy was OpenAI.Mustafa Suleyman wants to change that... Read more ›
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Our system did one thing, and it did it well: It turned natural-language questions into API calls.The users were analysts, account managers, and operations leads. They knew what data they needed, but assembling it manually meant pulling from four dashboards, two BI tools, and a Salesforce report builder. With our system, they typed the request in plain English. A request like "Compile a report on sales volume for January through... Read more ›
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Agentic AI is now a core part of the engineering process, driving massive execution leverage and helping us generate more code than ever before. Yet, a difficult question I’ve increasingly heard from business leaders is: if we’re shipping code faster than ever, why aren’t our products improving at the same rate?The reason is that writing code was never the rate limiter. Defining the right requirements, integrating with complex systems, and... Read more ›
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Our system did one thing, and it did it well: It turned natural-language questions into API calls.The users were analysts, account managers, and operations leads. They knew what data they needed, but assembling it manually meant pulling from four dashboards, two BI tools, and a Salesforce report builder. With our system, they typed the request in plain English. A request like "Compile a report on sales volume for January through... Read more ›
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In Q1 2026, VentureBeat's Pulse Research surfaced the “Governance Mirage”: the gap between the governance org charts enterprises had drawn and the control layers they had actually built. Forty-three percent said a central team owned AI governance; 23% couldn't agree on who owned it at all; and 31% named vendor opacity as the single biggest obstacle.This new wave of research asks the next question: Once you've admitted the governance problem,... Read more ›
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A joint research collaboration between researchers at the University of Illinois at Urbana-Champaign (UIUC), UC Berkeley, and the open source AI-native vector database platform Chroma unveiled Harness-1, a 20-billion parameter open-source search agent built atop OpenAI's gpt-oss-20B open source model that fundamentally redesigns how AI executes complex retrieval tasks. Harness-1 achieves a massive leap in performance, scoring 73% average on its ability to recall relevant information correctly from a curated Read more ›
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10.06.2026 16:40
Last update: 16:30 EDT.
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