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Anthropic on Tuesday released Claude Sonnet 4.6, a model that amounts to a seismic repricing event for the AI industry. It delivers near-flagship intelligence at mid-tier cost, and it lands squarely in the middle of an unprecedented corporate rush to deploy AI agents and automated coding tools.The model is a full upgrade across coding, computer use, long-context reasoning, agent planning, knowledge work, and design. It features a 1M token context window in beta. It is now the default model in claude.ai and.
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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 company changed course after researchers spoke out against the policy, which would have covertly limited Claude’s ability to develop competing AI models. Read more ›
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X recently sunsetted a similar feature, but Bluesky might be a more promising ecosystem for this idea. 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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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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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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11.06.2026 00:13
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