In 2026, data engineers working with multi-agent systems are hitting a familiar problem: Agents built on different platforms don’t operate from a shared understanding of the business. The result isn’t model failure — it’s hallucination driven by fragmented context.The problem is that agents built on different platforms, by different teams, do not share a common understanding of how the business actually operates. Each one carries its own interpretation of what... Read more ›
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The generative AI era began for most people with the launch of OpenAI's ChatGPT in late 2022, but the underlying technology — the "Transformer" neural network architecture that allows AI models to weigh the importance of different words in a sentence (or pixels in an image) differently and train on information in parallel — dates back to Google's seminal 2017 paper "Attention Is All You Need."Yet while Transformers deliver unparalleled... Read more ›
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Mistral AI on Monday launched Forge, an enterprise model training platform that allows organizations to build, customize, and continuously improve AI models using their own proprietary data — a move that positions the French AI lab squarely against the hyperscale cloud providers in one of the most consequential and least understood markets in enterprise technology.The announcement caps a remarkably aggressive week for Mistral, which also released its Mistral Small 4... Read more ›
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When an AI agent needs to log into your CRM, pull records from your database, and send an email on your behalf, whose identity is it using? And what happens when no one knows the answer? Alex Stamos, chief product officer at Corridor, and Nancy Wang, CTO at 1Password joined the VB AI Impact Salon Series to dig into the new identity framework challenges that come along with the benefits... Read more ›
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Every few years, a piece of open-source software arrives that rewires how the industry thinks about computing. Linux did it for servers. Docker did it for deployment. OpenClaw — the autonomous AI agent platform that went from niche curiosity to the fastest-growing open-source project in history in a matter of weeks — may be doing it for software itself. Nvidia CEO and co-founder Jensen Huang made his position plain at... Read more ›
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For the first time on a major AI platform release, security shipped at launch — not bolted on 18 months later. At Nvidia GTC this week, five security vendors announced protection for Nvidia's agentic AI stack, four with active deployments, one with validated early integration.The timing reflects how fast the threat has moved: 48% of cybersecurity professionals rank agentic AI as the top attack vector heading into 2026. Only 29%... Read more ›
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Every few years, a piece of open-source software arrives that rewires how the industry thinks about computing. Linux did it for servers. Docker did it for deployment. OpenClaw — the autonomous AI agent platform that went from niche curiosity to the fastest-growing open-source project in history in a matter of weeks — may be doing it for software itself. Nvidia CEO and co-founder Jensen Huang made his position plain at... Read more ›
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Nvidia researchers have introduced a new technique that dramatically reduces how much memory large language models need to track conversation history — by as much as 20x — without modifying the model itself. The method, called KV Cache Transform Coding (KVTC), applies ideas from media compression formats like JPEG to shrink the key-value cache behind multi-turn AI systems, lowering GPU memory demands and speeding up time-to-first-token by up to 8x.For... Read more ›
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When an AI agent loses context mid-task because traditional storage can't keep pace with inference, it is not a model problem — it is a storage problem. At GTC 2026, Nvidia announced BlueField-4 STX, a modular reference architecture that inserts a dedicated context memory layer between GPUs and traditional storage, claiming 5x the token throughput, 4x the energy efficiency and 2x the data ingestion speed of conventional CPU-based storage.The bottleneck... Read more ›
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Nvidia on Monday unveiled a deskside supercomputer powerful enough to run AI models with up to one trillion parameters — roughly the scale of GPT-4 — without touching the cloud. The machine, called the DGX Station, packs 748 gigabytes of coherent memory and 20 petaflops of compute into a box that sits next to a monitor, and it may be the most significant personal computing product since the original Mac... Read more ›
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Nvidia on Monday took the wraps off Vera Rubin, a sweeping new computing platform built from seven chips now in full production — and backed by an extraordinary lineup of customers that includes Anthropic, OpenAI, Meta and Mistral AI, along with every major cloud provider.The message to the AI industry, and to investors, was unmistakable: Nvidia is not slowing down. The Vera Rubin platform claims up to 10x more inference... Read more ›
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Chinese AI startup Z.ai, known for its powerful, open source GLM family of large language models (LLMs), has introduced GLM-5-Turbo, a new, proprietary variant of its open source GLM-5 model aimed at agent-driven workflows, with the company positioning it as a faster model tuned for OpenClaw-style tasks such as tool use, long-chain execution and persistent automation. It's available now through Z.ai's application programming interface (API) on third-party provider OpenRouter with... Read more ›
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An attacker embeds a single instruction inside a forwarded email. An OpenClaw agent summarizes that email as part of a normal task. The hidden instruction tells the agent to forward credentials to an external endpoint. The agent complies — through a sanctioned API call, using its own OAuth tokens. The firewall logs HTTP 200. EDR records a normal process. No signature fires. Nothing went wrong by any definition your security... Read more ›
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Jensen Huang walked onto the GTC stage Monday wearing his trademark leather jacket and carrying, as it turned out, the blueprints for a new kind of monopoly.The Nvidia CEO unveiled the Agent Toolkit, an open-source platform for building autonomous AI agents, and then rattled off the names of the companies that will use it: Adobe, Salesforce, SAP, ServiceNow, Siemens, CrowdStrike, Atlassian, Cadence, Synopsys, IQVIA, Palantir, Box, Cohesity, Dassault Systèmes, Red... Read more ›
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LinkedIn's feed reaches more than 1.3 billion members — and the architecture behind it hadn't kept pace. The system had accumulated five separate retrieval pipelines, each with its own infrastructure and optimization logic, serving different slices of what users might want to see. Engineers at the company spent the last year tearing that apart and replacing it with a single LLM-based system. The result, LinkedIn says, is a feed that... Read more ›
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For more than two decades, digital businesses have relied on a simple assumption: When someone interacts with a website, that activity reflects a human making a conscious choice. Clicks are treated as signals of interest. Time on page is assumed to indicate engagement. Movement through a funnel is interpreted as intent. Entire growth strategies, marketing budgets, and product decisions have been built on this premise.Today, that assumption is quietly beginning... Read more ›
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Presented by AudioEyeWhile most organizations recognize the importance of accessibility from a theoretical angle, a stark gap exists between that awareness and actual execution. Companies can't just give a nod to accessibility -- and it can't just be a nice-to-have. The chasm between knowing and doing is not only exposing businesses to significant legal risk, it's also costing them actual business and growth opportunities. According to AudioEye’s newly released 2026... Read more ›
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LinkedIn's feed reaches more than 1.3 billion members — and the architecture behind it hadn't kept pace. The system had accumulated five separate retrieval pipelines, each with its own infrastructure and optimization logic, serving different slices of what users might want to see. Engineers at the company spent the last year tearing that apart and replacing it with a single LLM-based system. The result, LinkedIn says, is a feed that... Read more ›
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Recent reports about AI project failure rates have raised uncomfortable questions for organizations investing heavily in AI. Much of the discussion has focused on technical factors like model accuracy and data quality, but after watching dozens of AI initiatives launch, I’ve noticed that the biggest opportunities for improvement are often cultural, not technical.Internal projects that struggle tend to share common issues. For example, engineering teams build models that product managers... Read more ›
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Recent reports about AI project failure rates have raised uncomfortable questions for organizations investing heavily in AI. Much of the discussion has focused on technical factors like model accuracy and data quality, but after watching dozens of AI initiatives launch, I’ve noticed that the biggest opportunities for improvement are often cultural, not technical.Internal projects that struggle tend to share common issues. For example, engineering teams build models that product managers... Read more ›
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10.06.2026 17:55
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