Not long ago, the idea of being a “generalist” in the workplace had a mixed reputation. The stereotype was the “jack of all trades” who could dabble in many disciplines but was a “master of none.” And for years, that was more or less true. Most people simply didn’t have access to the expertise required to do highly cross-functional work. If you needed a new graphic, you waited for a... Read more ›
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Look, we've spent the last 18 months building production AI systems, and we'll tell you what keeps us up at night — and it's not whether the model can answer questions. That's table stakes now. What haunts us is the mental image of an agent autonomously approving a six-figure vendor contract at 2 a.m. because someone typo'd a config file.We've moved past the era of "ChatGPT wrappers" (thank God), but... Read more ›
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Large language models are running into limits in domains that require an understanding of the physical world — from robotics to autonomous driving to manufacturing. That constraint is pushing investors toward world models, with AMI Labs raising a $1.03 billion seed round shortly after World Labs secured $1 billion.Large language models (LLMs) excel at processing abstract knowledge through next-token prediction, but they fundamentally lack grounding in physical causality. They cannot... Read more ›
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Voice AI is moving faster than the tools we use to measure it. Every major AI lab — OpenAI, Google DeepMind, Anthropic, xAI — is racing to ship voice models capable of natural, real-time conversation. But the benchmarks used to evaluate those models are largely still running on synthetic speech, English-only prompts, and scripted test sets that bear little resemblance to how people actually talk.Scale AI, the large data annotation... Read more ›
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Enterprises that have been juggling separate models for reasoning, multimodal tasks, and agentic coding may be able to simplify their stack: Mistral’s new Small 4 brings all three into a single open-source model, with adjustable reasoning levels under the hood.Small 4 enters a crowded field of small models — including Qwen and Claude Haiku — that are competing on inference cost and benchmark performance. Mistral’s pitch: shorter outputs that translate... Read more ›
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The hit open source autonomous AI agent OpenClaw may have just gotten mogged by Anthropic. Today, Anthropic announced Claude Code Channels, a way to hook up its own powerful Claude Code AI agentic harness to a human user's Discord or Telegram messaging applications, letting them message Claude Code directly whenever they want while on the go and instruct it to write code for them. Official documentation is here.This isn't just... Read more ›
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The future of AI isn’t just agentic; it’s deep personalization. Rather than simple recommender systems that correlate user behavior to identify patterns and apply those to individual workflows, large language models (LLMs) and AI agents can analyze users directly to create deeply personalized experiences. It’s this kind of aggressive customization users are increasingly demanding — and the savviest enterprises who provide it (and soon) will win. The goal is: “Don't... Read more ›
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Cursor, a San Francisco AI coding platform from startup Anysphere valued at $29.3 billion, has launched Composer 2, a new in-house coding model now available inside its agentic AI coding environment, and it offers drastically improved benchmarks from its prior in-house model.It's also launching and making Composer 2 Fast, a higher-priced but faster variant, the default experience for users.Here's the cost breakdown:Composer 2 Standard: $0.50/$2.50 per 1 million input/output tokens... Read more ›
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A rogue AI agent at Meta took action without approval and exposed sensitive company and user data to employees who were not authorized to access it. Meta confirmed the incident to The Information on March 18 but said no user data was ultimately mishandled. The exposure still triggered a major security alert internally.The available evidence suggests the failure occurred after authentication, not during it. The agent held valid credentials, operated... Read more ›
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Chinese electronics and car manufacturer Xiaomi surprised the global AI community today with the release of MiMo-V2-Pro, a new 1-trillion parameter foundation model with benchmarks approaching those of U.S. AI giants OpenAI and Anthropic, but at around a seventh or sixth the cost when accessed over proprietary API — and importantly, sending less than 256,000 tokens-worth of information back and forth.Led by Fuli Luo, a veteran of the disruptive DeepSeek... Read more ›
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In the last few years, Chinese AI startup MiniMax has become one of the most exciting in the crowded global AI marketplace, carving out a reputation for delivering frontier-level large language models (LLMs) with open source licenses and before that, high-quality AI video generation models (Hailuo). The release of MiniMax M2.7 today — a new proprietary LLM designed to perform well powering AI agents and as the backend to third-party... Read more ›
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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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26.07.2026 03:36
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