ACM

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Orchestral replaces LangChain’s complexity with reproducible, provider-agnostic LLM orchestration

A new framework from researchers Alexander and Jacob Roman rejects the complexity of current AI tools, offering a synchronous, type-safe alternative designed for reproducibility and cost-conscious science. In the rush to build autonomous AI agents, developers have largely been forced into a binary choice: surrender control to massive, complex ecosystems like LangChain, or lock themselves …

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The 11 runtime attacks breaking AI security — and how CISOs are stopping them or can stop them

Enterprise security teams are losing ground to AI-enabled attacks — not because defenses are weak, but because the threat model has shifted. As AI agents move into production, attackers are exploiting runtime weaknesses where breakout times are measured in seconds, patch windows in hours, and traditional security has little visibility or control. CrowdStrike’s 2025 Global …

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Nvidia’s Vera Rubin is months away — Blackwell is getting faster right now

The big news this week from Nvidia, splashed in headlines across all forms of media, was the company’s announcement about its Vera Rubin GPU. This week, Nvidia CEO Jensen Huang used his CES keynote to highlight performance metrics for the new chip. According to Huang, the Rubin GPU is capable of 50 PFLOPs of NVFP4 …

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How KPMG is redefining the future of SAP consulting on a global scale

Presented by SAP SAP consulting projects today involve a vast amount of documentation, multiple stakeholders, and compressed timelines, which often require manual knowledge retrieval from online SAP documentation. At the same time, cloud ERP programs now demand faster design cycles, continuous enhancements rather than big-bang rollouts, and near-real-time decision-making. Joule for Consultants, SAP’s conversational AI …

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Databricks’ Instructed Retriever beats traditional RAG data retrieval by 70% — enterprise metadata was the missing link

A core element of any data retrieval operation is the use of a component known as a retriever. Its job is to retrieve the relevant content for a given query. In the AI era, retrievers have been used as part of RAG pipelines. The approach is straightforward: retrieve relevant documents, feed them to an LLM, …

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Claude Code 2.1.0 arrives with smoother workflows and smarter agents

Anthropic has released Claude Code v2.1.0, a notable update to its “vibe coding” development environment for autonomously building software, spinning up AI agents, and completing a wide range of computer tasks, according to Head of Claude Code Boris Cherny in a post on X last night. The release introduces improvements across agent lifecycle control, skill …

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MiroMind’s MiroThinker 1.5 delivers trillion-parameter performance from a 30B model — at 1/20th the cost

Joining the ranks of a growing number of smaller, powerful reasoning models is MiroThinker 1.5 from MiroMind, with just 30 billion parameters, compared to the hundreds of billions or trillions used by leading foundation large language models (LLMs). But MiroThinker 1.5 stands out among these smaller reasoners for one major reason: it offers agentic research …

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Why AI feels generic: Replit CEO on slop, toys, and the missing ingredient of taste

Right now in the AI world, there are a lot of percolating ideas and experimentation. But as far as Replit CEO Amjad Masad is concerned, they’re just “toys”: unreliable, marginally effective, and generic.  “There’s a lot of sameness out there,” Masad explains in a new VB Beyond the Pilot podcast. “Everything kind of looks the …

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Nous Research’s NousCoder-14B is an open-source coding model landing right in the Claude Code moment

Nous Research, the open-source artificial intelligence startup backed by crypto venture firm Paradigm, released a new competitive programming model on Monday that it says matches or exceeds several larger proprietary systems — trained in just four days using 48 of Nvidia’s latest B200 graphics processors. The model, called NousCoder-14B, is another entry in a crowded …

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Artificial Analysis overhauls its AI Intelligence Index, replacing popular benchmarks with ‘real-world’ tests

The arms race to build smarter AI models has a measurement problem: the tests used to rank them are becoming obsolete almost as quickly as the models improve. On Monday, Artificial Analysis, an independent AI benchmarking organization whose rankings are closely watched by developers and enterprise buyers, released a major overhaul to its Intelligence Index …

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