AI News

A new Linux Foundation report finds that security readiness is the biggest obstacle to AI adoption. A widening gap exists between the rush to deploy AI and the ability to secure it. The report notes 67% of teams face pressure to accelerate deployment despite security risks.

Vector search alone is often insufficient for Retrieval-Augmented Generation (RAG) systems. An analysis in InfoQ suggests a hybrid approach, combining traditional keyword search (BM25) with vector search using Reciprocal Rank Fusion (RRF), can deliver more accurate and relevant results for AI applications.

RealWorld has unveiled RLDX-1, a new foundation model designed to give five-fingered humanoid robot hands advanced dexterity. The model was developed and is operated entirely on NVIDIA's technology stack, from cloud-based H100 GPUs for training to Jetson Orin for edge deployment, demonstrating a comprehensive implementation.

A new report by STT GDC and Ecosystm finds that while 90% of Asian companies have started adopting AI, 71% are stuck in the early stages. Only 1% have reached a "Leader" level, highlighting a significant gap between initial adoption and true AI maturity.

IT leaders face a growing challenge with AI pricing and proving its return on investment. The problem is complicated by widespread, decentralized adoption of AI tools by employees across different departments, making it difficult for IT to manage costs, strategy, and overall business value effectively.

Microsoft has released two open-source tools, Rampart and Clarity, to help developers secure AI agents. The tools are designed for safety verification during early development, addressing risks as AI agents gain more operational authority. This is part of Microsoft's push for continuous AI safety engineering.

xAI has signed a multi-billion dollar deal to provide its competitor, Anthropic, with large-scale AI computing services. The agreement, worth about $1.25 billion per month until May 2029, signals a major shift where specialized AI compute is emerging as a standalone business, challenging traditional cloud providers.

Microsoft and EY are investing $1 billion over five years to accelerate enterprise AI adoption. The partnership will create integrated teams of EY's Forward Deployed Engineers and Microsoft experts to help clients implement AI projects and build their own capabilities, offering a combined engineering and innovation service.

Despite a surge in AI investments, many enterprise projects are failing to deliver expected results. According to Gartner, nearly half of companies struggle to show business value. Experts suggest the primary cause is not technical failure but unrealistic expectations set at the project's inception.

Standard cloud cost-saving practices, like downsizing underused GPUs, don't apply to secure AI training. The usual utilization metrics can be misleading for these specialized workloads, creating a blind spot for FinOps teams and leading to incorrect infrastructure decisions.

Alibaba's new multimodal AI model, Qwen 3.7 Plus, is now available on the Vercel AI Gateway. The model combines vision and language capabilities, allowing developers to build advanced agentic applications for tasks like coding, visual reasoning, and operating graphical user interfaces directly through the platform.

A vulnerability in Meta's AI support chatbot allowed hackers to take over Instagram accounts. Attackers tricked the chatbot into changing an account's email address, enabling a password reset. Meta has confirmed the security flaw is now patched.

AI-powered tools are enabling non-technical staff in departments like HR and marketing to generate code, a trend called 'vibe coding.' This shift is democratizing software development, helping reduce backlogs and solve business problems faster, but it also introduces new risks that require IT oversight.

A new analysis highlights how advanced AI models can now autonomously discover software vulnerabilities at an unprecedented scale. This fundamentally changes the balance between offense and defense in cybersecurity, making traditional disclosure timelines potentially obsolete and requiring an urgent rethinking of security strategies.

Julien Verlaguet, creator of the Hack language, is building a new AI coding agent at SkipLabs. It challenges the standard 'copilot' model of prompt-draft-iterate. Instead of focusing on speed through iteration, the tool aims to generate production-ready code that can ship without developer feedback.

A developer has released an open-source AI racing harness for AI Grand Prix contestants. Built with Rust and the Bevy engine, the tool provides a real-time flight software simulation that matches competition constraints, allowing teams to test their code while waiting for the official qualifier.

Gartner predicts that by 2025, 40% of enterprise autonomous AI projects will be partially derailed by governance failures. These gaps are often discovered only after production incidents occur, stemming from a flawed, all-or-nothing approach to trust and control, according to the analyst firm.

Former Google CEO Eric Schmidt was booed by University of Arizona graduates during his commencement speech. He told the class their task was to shape AI, prompting a negative reaction. Schmidt acknowledged their fears about job loss and the future were "rational," highlighting growing public skepticism.

Traditional FinOps practices often recommend downsizing resources with low utilization. However, for certain AI workloads like secure machine learning, low GPU compute usage can be misleading. These tasks may be memory-bound, not compute-bound, making "underutilized" GPUs essential for performance and avoiding higher costs.

Payroll provider Remote has surpassed $300 million in annual recurring revenue and achieved positive cash flow. The company attributes this success to AI adoption, which led to a 50% increase in revenue per employee without expanding its workforce, highlighting AI's impact on operational efficiency.

In a recent discussion, experts from Dataiku and 1Password explored the next frontier of AI challenges. They covered the essentials of data governance, managing complex data supply chains, and the critical need for robust security frameworks to protect increasingly autonomous and interconnected AI agent swarms.

CIOs are under intense pressure to deliver measurable returns on AI investments. A new survey reveals a significant challenge: only 19% of AI projects are meeting their intended goals. This is forcing a shift from broad experimentation to prioritizing and scaling solutions that demonstrate clear business value.

Box founder Aaron Levie warns of "AI psychosis," where leaders overestimate AI's ability to replace jobs they don't fully understand. This mindset is driving workforce reductions, as seen with recent layoffs at companies like ClickUp, which replaced a significant portion of its staff with AI agents.

Vercel has integrated the MiniMax M3 model into its AI Gateway. This is MiniMax's first model with a 1-million-token context window and native multimodal capabilities, designed for complex tasks like software engineering, agentic web browsing, and multi-turn collaboration for developers using the platform.

Google DeepMind has published new research on AI safety, specifically testing if its Gemini models exhibit "scheming" behavior. The studies evaluate whether the models would sabotage their own safeguards, a crucial concern as AI agents become more autonomous and integrated into critical systems.

Discussions about autonomous weapons, once confined to hypothetical scenarios at UN forums, are now confronting a new reality. The use of AI in modern conflicts is accelerating, raising urgent questions about ethics, international law, and the future of warfare for global leaders and the tech industry.

Mallika Rao, with experience from Twitter and Netflix, presents a new framework for evaluating production AI systems. She argues traditional metrics are outdated and introduces a five-layer evaluation stack and a maturity model to prevent silent failures and manage "evaluation debt."

GitHub reduced token consumption in its AI-powered CI workflows by up to 62%. The company achieved this by removing unused tools, replacing API calls with its CLI, and deploying daily automated agents to audit and optimize usage, offering a model for others to follow.

Microsoft has updated Azure Logic Apps with sandboxed code interpreters. This allows AI agents within workflows to safely generate and execute Python, JavaScript, C#, and PowerShell code, positioning Logic Apps as a platform for building AI-powered integrations.

The Linux Foundation has proposed an open standard for AI agents to discover and communicate with each other. The proposal suggests extending the existing Domain Name System (DNS) to create a universal, decentralized directory, avoiding the need for new proprietary registries and leveraging proven internet infrastructure.