Anthropic on Monday released Code Review, a multi-agent code review system built into Claude Code that dispatches teams of AI agents to scrutinize every pull request for bugs that human reviewers routinely miss. The feature, now available in research preview for Team and Enterprise customers, arrives on what may be the most consequential day in the company's history: Anthropic simultaneously filed lawsuits against the Trump administration over a Pentagon blacklisting,... Read more ›
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If you thought Anthropic was about to run away with the enterprise AI business...you're not totally off the mark, actually.This morning, Microsoft announced "Copilot Cowork" a new cloud-based AI agentic automation tool within Microsoft's existing AI tool 365 Copilot, except now it can complete work on users' behalf across many Microsoft apps, instead of contained within each one. If it sounds suspiciously similar to Anthropic's own "Claude Cowork" applications for... Read more ›
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Microsoft today announced the general availability of Agent 365 and Microsoft 365 Enterprise 7, two products designed to bring security and governance to the rapidly growing population of AI agents operating inside the world's largest organizations. Both become available on May 1st, alongside Wave 3 of Microsoft 365 Copilot, which expands the company's agentic AI capabilities and adds model diversity from both OpenAI and Anthropic.Agent 365, priced at $15 per... Read more ›
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It’s always the same story: A new technology appears and everyone starts talking about how it’ll change everything. Then capital rushes in, companies form overnight, and valuations climb faster than anyone can justify. Then, many many months later, the warnings arrive, and people suddenly remember the dot-com crash or crypto.You’ve probably seen it before. And if you have, you probably think AI is the next bubble. Humans are great at... Read more ›
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Presented by Celonis85% of enterprises want to become agentic within three years — yet 76% admit their operations can’t support it. According to the Celonis 2026 Process Optimization Report, based on a survey of more than 1,600 global business leaders, organizations are aggressively pursuing AI-driven transformation. Yet most acknowledge that the foundational work — modernizing workflows, reducing process friction, and building operational resilience — remains unfinished. The ambition is clear.... Read more ›
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With agentic AI, businesses are conducting business more dynamically. Instead of traditional pre-programmed bots and static rules, agents can now “think” and invent alternate paths when unseen conditions arise. For instance, using a business domain ontology like FIBO (financial industry business ontology) can help keep agents within guardrails and avoid unwanted behavior. The bottleneck is now in the user experience (UX) layer. While agents are dynamic and transform with the... Read more ›
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As models get smarter and more capable, the "harnesses" around them must also evolve. This "harness engineering" is an extension of context engineering, says LangChain co-founder and CEO Harrison Chase in a new VentureBeat Beyond the Pilot podcast episode. Whereas traditional AI harnesses have tended to constrain models from running in loops and calling tools, harnesses specifically built for AI agents allow them to interact more independently and effectively perform... Read more ›
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“When you get a demo and something works 90% of the time, that’s just the first nine.” — Andrej KarpathyThe “March of Nines” frames a common production reality: You can reach the first 90% reliability with a strong demo, and each additional nine often requires comparable engineering effort. For enterprise teams, the distance between “usually works” and “operates like dependable software” determines adoption.The compounding math behind the March of Nines“Every... Read more ›
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San Francisco startup Anthropic continues to ship new AI products and services at a blistering pace, despite a messy ongoing dispute with the U.S. Department of War.Today, the company announced Claude Marketplace, a new offering that lets enterprises with an existing Anthropic spend commitment apply part of it toward tools and applications powered by Anthropic's Claude models but made and offered by external partners including GitLab, Harvey, Lovable, Replit, Rogo... Read more ›
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As models get smarter and more capable, the "harnesses" around them must also evolve. This "harness engineering" is an extension of context engineering, says LangChain co-founder and CEO Harrison Chase in a new VentureBeat Beyond the Pilot podcast episode. Whereas traditional AI harnesses have tended to constrain models from running in loops and calling tools, harnesses specifically built for AI agents allow them to interact more independently and effectively perform... Read more ›
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Enterprise AI applications that handle large documents or long-horizon tasks face a severe memory bottleneck. As the context grows longer, so does the KV cache, the area where the model’s working memory is stored.A new technique developed by researchers at MIT addresses this challenge with a fast compression method for the KV cache. The technique, called Attention Matching, manages to compact the context by up to 50x with very little... Read more ›
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Google senior AI product manager Shubham Saboo has turned one of the thorniest problems in agent design into an open-source engineering exercise: persistent memory.This week, he published an open-source “Always On Memory Agent” on the official Google Cloud Platform Github page under a permissive MIT License, allowing for commercial usage.It was built with Google's Agent Development Kit, or ADK introduced last Spring in 2025, and Gemini 3.1 Flash-Lite, a low-cost... Read more ›
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What's old is new: the command line — the original, clunky non-graphical interface for interacting with and controlling PCs, where the user just typed in raw commands in code — has become one of the most important interfaces in agentic AI.That shift has been driven in part by the rise of coding-native tools such as Claude Code and Kilo CLI, which have helped establish a model where AI agents do... Read more ›
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The AI updates aren't slowing down. Literally two days after OpenAI launched a new underlying AI model for ChatGPT called GPT-5.3 Instant, the company has unveiled another, even more massive upgrade: GPT-5.4.Actually, GPT-5.4 comes in two varieties: GPT-5.4 Thinking and GPT-5.4 Pro, the latter designed for the most complex tasks.Both will be available in OpenAI's paid application programming interface (API) and Codex software development application, while GPT-5.4 Thinking will be... Read more ›
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Most enterprise RAG pipelines are optimized for one search behavior. They fail silently on the others. A model trained to synthesize cross-document reports handles constraint-driven entity search poorly. A model tuned for simple lookup tasks falls apart on multi-step reasoning over internal notes. Most teams find out when something breaks.Databricks set out to fix that with KARL, short for Knowledge Agents via Reinforcement Learning. The company trained an agent across... Read more ›
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To create coherent images or videos, generative AI diffusion models like Stable Diffusion or FLUX have typically relied on external "teachers"—frozen encoders like CLIP or DINOv2—to provide the semantic understanding they couldn't learn on their own. But this reliance has come at a cost: a "bottleneck" where scaling up the model no longer yields better results because the external teacher has hit its limit.Today, German AI startup Black Forest Labs... Read more ›
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Microsoft on Tuesday released Phi-4-reasoning-vision-15B, a compact open-weight multimodal AI model that the company says matches or exceeds the performance of systems many times its size — while consuming a fraction of the compute and training data. The release marks the latest and most technically ambitious chapter in the software giant's year-long campaign to prove that carefully engineered small models can compete with, and in key areas outperform, the industry's... Read more ›
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The federal directive ordering all U.S. government agencies to cease using Anthropic technology comes with a six-month phaseout window. That timeline assumes agencies already know where Anthropic’s models sit inside their workflows. Most don’t today.Most enterprises wouldn’t, either. The gap between what enterprises think they’ve approved and what’s actually running in production is wider than most security leaders realize.AI vendor dependencies don't stop at the contract you signed; they cascade... Read more ›
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Alibaba's Qwen team of AI researchers have been among the most prolific and well-regarded by international machine learning community — shipping dozens of powerful generalized and specialized generative models starting last summer, most of them entirely open source and free.But now, just 24 hours after shipping the open source Qwen3.5 small model series—a release that drew public praise from Elon Musk for its "impressive intelligence density"—the project’s technical architect and... Read more ›
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Alibaba's Qwen team of AI researchers have been among the most prolific and well-regarded by international machine learning community — shipping dozens of powerful generalized and specialized generative models starting last summer, most of them entirely open source and free.But now, just 24 hours after shipping the open source Qwen3.5 small model series—a release that drew public praise from Elon Musk for its "impressive intelligence density"—the project’s technical architect and... Read more ›
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20.03.2026 08:32
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