NanoClaw, the open-source AI agent platform created by Gavriel Cohen, is partnering with the containerized development platform Docker to let teams run agents inside Docker Sandboxes, a move aimed at one of the biggest obstacles to enterprise adoption: how to give agents room to act without giving them room to damage the systems around them.The announcement matters because the market for AI agents is shifting from novelty to deployment. It... Read more ›
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Presented by SplunkOrganizations across every industry are rushing to take advantage of agentic AI. The promise is compelling for digital resilience — the potential to move organizations from reactive to preemptive operations.But there is a fundamental flaw in how most organizations are approaching this transformation.We are building brains without sensesWalk into any boardroom discussing AI strategy, and you will hear endless debates about LLMs, reasoning engines, and GPU clusters. The... Read more ›
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Presented by Insight EnterprisesOrganizations today are trapped in proof-of-concept purgatory because yesterday’s models don’t work for today’s AI challenges.Everyone’s racing to prove what AI could do. But the real winners are those who have realized that AI deployment is not a technology project — it is a core operational capability. Success depends on execution, not just far-reaching visions of optimization.At Insight, we’ve seen this cycle before. For more than 35... Read more ›
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The industry consensus is that 2026 will be the year of "agentic AI." We are rapidly moving past chatbots that simply summarize text. We are entering the era of autonomous agents that execute tasks. We expect them to book flights, diagnose system outages, manage cloud infrastructure and personalize media streams in real-time.As a technology executive overseeing platforms that serve 30 million concurrent users during massive global events like the Olympics... Read more ›
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The modern customer has just one need that matters: Getting the thing they want when they want it. The old standard RAG model embed+retrieve+LLM misunderstands intent, overloads context and misses freshness, repeatedly sending customers down the wrong paths. Instead, intent-first architecture uses a lightweight language model to parse the query for intent and context, before delivering to the most relevant content sources (documents, APIs, people).Enterprise AI is a speeding train... Read more ›
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Claude Cowork is now available to more Claude users, alongside new updates aimed at team workflows.Anthropic made Claude Cowork accessible to users on Team and Enterprise plans, and it brings the platform closer to being a collaborative AI infrastructure. For enterprise teams, the change matters less as a feature update than as a shift in how Claude is meant to be used. Cowork reframes Claude as a shared, persistent workspace... Read more ›
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While vector databases still have many valid use cases, organizations including OpenAI are leaning on PostgreSQL to get things done.In a blog post on Thursday, OpenAI disclosed how it is using the open-source PostgreSQL database.OpenAI runs ChatGPT and its API platform for 800 million users on a single-primary PostgreSQL instance — not a distributed database, not a sharded cluster. One Azure PostgreSQL Flexible Server handles all writes. Nearly 50 read... Read more ›
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Security teams are buying AI defenses that don't work. Researchers from OpenAI, Anthropic, and Google DeepMind published findings in October 2025 that should stop every CISO mid-procurement. Their paper, "The Attacker Moves Second: Stronger Adaptive Attacks Bypass Defenses Against Llm Jailbreaks and Prompt Injections," tested 12 published AI defenses, with most claiming near-zero attack success rates. The research team achieved bypass rates above 90% on most defenses. The implication for... Read more ›
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Despite lots of hype, "voice AI" largely been a euphemism for a request-response loop. You speak, a cloud server transcribes your words, a language model thinks, and a robotic voice reads the text back. Functional, but not really conversational. That all changed in the past week with a rapid succession of powerful, fast, and more capable voice AI model releases from Nvidia, Inworld, FlashLabs, and Alibaba's Qwen team, combined with... Read more ›
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Railway, a San Francisco-based cloud platform that has quietly amassed two million developers without spending a dollar on marketing, announced Thursday that it raised $100 million in a Series B funding round, as surging demand for artificial intelligence applications exposes the limitations of legacy cloud infrastructure.TQ Ventures led the round, with participation from FPV Ventures, Redpoint, and Unusual Ventures. The investment values Railway as one of the most significant infrastructure... Read more ›
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A new technique developed by researchers at Shanghai Jiao Tong University and other institutions enables large language model agents to learn new skills without the need for expensive fine-tuning.The researchers propose MemRL, a framework that gives agents the ability to develop episodic memory, the capacity to retrieve past experiences to create solutions for unseen tasks. MemRL allows agents to use environmental feedback to refine their problem-solving strategies continuously.MemRL is part... Read more ›
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LinkedIn is a leader in AI recommender systems, having developed them over the last 15-plus years. But getting to a next-gen recommendation stack for the job-seekers of tomorrow required a whole new technique. The company had to look beyond off-the-shelf models to achieve next-level accuracy, latency, and efficiency.“There was just no way we were gonna be able to do that through prompting,” Erran Berger, VP of product engineering at LinkedIn,... Read more ›
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For the modern CFO, the hardest part of the job often isn't the math—it's the storytelling. After the books are closed and the variances calculated, finance teams spend days, sometimes weeks, manually copy-pasting charts into PowerPoint slides to explain why the numbers moved.Today, 11-year-old Israeli fintech company Datarails announced a set of new generative AI tools designed to automate that "last mile" of financial reporting, effectively allowing finance leaders to... Read more ›
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ServiceNow announced a multi-year partnership with OpenAI to bring GPT-5.2 into its AI Control Tower and Xanadu platform, reinforcing ServiceNow’s strategy to focus on enterprise workflows, guardrails, and orchestration rather than building frontier models itself.For enterprise buyers, the deal underscores a broader shift: general-purpose models are becoming interchangeable, while the platforms that control how they’re deployed and governed are where differentiation now lives.ServiceNow lets enterprises dev Read more ›
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When OpenAI went down in December, one of TrueFoundry’s customers faced a crisis that had nothing to do with chatbots or content generation. The company uses large language models to help refill prescriptions. Every second of downtime meant thousands of dollars in lost revenue — and patients who could not access their medications on time.TrueFoundry, an enterprise AI infrastructure company, announced Wednesday a new product called TrueFailover designed to prevent... Read more ›
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Recursive language models (RLMs) are an inference technique developed by researchers at MIT CSAIL that treat long prompts as an external environment to the model. Instead of forcing the entire prompt into the model's context window, the framework allows the LLM to programmatically examine, decompose, and recursively call itself over snippets of the text.Rather than expanding context windows or summarizing old information, the MIT team reframes long-context reasoning as a... Read more ›
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Elon Musk's social network X (formerly known as Twitter) last night released some of the code and architecture of its overhauled social recommendation algorithm under a permissive, enterprise-friendly open source license (Apache 2.0) on Github, allowing for commercial usage and modification. This is the algorithm that decides which X posts and accounts to show to which users on the social network.The new X algorithm, as opposed toto the manual heuristic... Read more ›
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It’s the question on everyone’s minds and lips: Are we in an AI bubble?It's the wrong question. The real question is: Which AI bubble are we in, and when will each one burst?The debate over whether AI represents a transformative technology or an economic time bomb has reached a fever pitch. Even tech leaders like Meta CEO Mark Zuckerberg have acknowledged evidence of an unstable financial bubble forming around AI.... Read more ›
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Every year, NeurIPS produces hundreds of impressive papers, and a handful that subtly reset how practitioners think about scaling, evaluation and system design. In 2025, the most consequential works weren't about a single breakthrough model. Instead, they challenged fundamental assumptions that academicians and corporations have quietly relied on: Bigger models mean better reasoning, RL creates new capabilities, attention is “solved” and generative models inevitably memorize.This year’s top papers collectiv Read more ›
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The German AI startup Black Forest Labs (BFL), founded by former Stability AI engineers, is continuing to build out its suite of open source AI image generators with the release of FLUX.2 [klein], a new pair of small models — one open and one non-commercial — that emphasizes speed and lower compute requirements, with the models generating images in less than a second on a Nvidia GB200. The [klein] series,... Read more ›
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Researchers at Google have developed a technique that makes it easier for AI models to learn complex reasoning tasks that usually cause LLMs to hallucinate or fall apart. Instead of training LLMs through next-token prediction, their technique, called internal reinforcement learning (internal RL), steers the model’s internal activations toward developing a high-level step-by-step solution for the input problem. Ultimately, this could provide a scalable path for creating autonomous agents that... Read more ›
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20.03.2026 11:53
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