agentic ai

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What leaders learn when AI meets reality

The global AI market feels more Orwellian than Dickensian these days, with headlines hitting our feed like AI contributed “basically zero” growth to US GDP (2025). This latest revelation represents a series of increasingly worrisome disappointments: 95% of GenAI pilots fail (MIT), Amazon’s Kiro agent sparks 13-hour outage by deleting […] The post What leaders […]

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Reviving the promise of AI with RAG, data and agentic

A quick search through headlines reveals a range of AI-related disappointments. Consider that 95% of GenAI pilots fail, according to MIT. Amazon’s Kiro agent recently sparked a 13-hour outage by deleting a production environment. And we can’t forget that the resource and energy strain from a new wave of AI […] The post Reviving the

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Nous Research Releases Hermes Desktop: A Native Cross-Platform Front End for Hermes Agent v0.15.2 with Streaming Tool Output

Nous Research has released Hermes Desktop in public preview. It is a native application for macOS, Windows, and Linux. It gives the open-source Hermes Agent a graphical interface. Until now, users ran Hermes through a CLI and messaging gateways. The current build is Hermes Agent v0.15.2. Per Nous Research’s documentation, the desktop reuses the same

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Walmart’s AI workflows meet the realities of the balance sheet

Walmart has reportedly begun limiting employees’ use of an internal AI assistant called Code Puppy after demands placed on the LLM backing the tool were higher than expected. Employees of Walmart were encouraged to use Code Puppy without any stricture or stipulations as to the limits of use, but Walmart is now assigning employees a

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Microsoft’s Majorana 2 quantum chip is also a case study for agentic AI in R&D

Microsoft’s Majorana 2 quantum chip arrived this week with numbers that are genuinely difficult to contextualise: qubits 1,000 times more reliable than the first generation, a mean qubit lifetime of 20 seconds against an industry norm measured in microseconds, and a revised roadmap targeting a commercially scalable quantum computer by 2029. Behind those numbers is Microsoft Discovery

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TinyFish Launches BigSet: An Open-Source Multi-Agent System That Builds Structured Live Datasets from Plain-English Descriptions

Building a structured dataset from the web is still a pipeline problem. You identify a data source, write or configure a scraper, design a schema, handle deduplication, schedule refreshes, and fix breakage when upstream sites change. That process stays roughly the same whether you do it once or a hundred times. TinyFish is releasing BigSet

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GitHub Copilot users see token-based price hikes

Since its announcement in April this year, the proposed changes to billing methods on GitHub Copilot were a source of much speculation: how much more or less would a pay-a-you-use AI cost an organisation or individual compared to a flat-rate, monthly subscription? Just a day into the changeover to token-based billing for the LLM-based service,

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Alibaba’s Qwen Team Launches Qwen3.7-Plus, Adding Vision, Deep Reasoning, Tool Invocation, and Autonomous Iteration on the Bailian Platform

Alibaba’s Qwen team has released Qwen3.7-Plus. The model is now available through Alibaba Cloud’s Bailian platform. Bailian is the console international users access as Model Studio. It offers API services to external developers. The release follows Alibaba’s May unveiling of the Qwen3.7 generation. Qwen3.7-Plus Qwen3.7-Plus is a multimodal large language model. The model understands images

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Are you an agentic AI Observer, Planner or Adopter?

Marketers have made enormous strides with generative AI (GenAI) over the last year, moving from experimentation to large-scale deployment. But the next shift in AI maturity – agentic AI – is already underway. This shift will push organizations beyond prompt-based productivity and into a world where AI can act, learn […] The post Are you

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JetBrains Releases Mellum2: A 12B MoE Model for Fast, Specialized Tasks in Multi-Model AI Pipelines

JetBrains released Mellum2, open-sourcing the weights under the Apache 2.0 license. The first version of Mellum was a completion-focused 4B dense model. Mellum2 is its successor: a general-purpose model specialized in software engineering. It covers code generation and editing, debugging, multi-step reasoning, tool use and function calling, agentic coding, and conversational programming assistance. JetBrains team

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