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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AI is disrupting the world, but it also presents an opportunity to ask what we are here for, and our role as stewards of meaning. Read more ›
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Why the authentication tug-of-war between friction and freedom will be won by those who can walk the tightrope between both. Read more ›
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What we tried, what didn't work and how a combination of approaches eventually helped us build a reliable computer vision model. Read more ›
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Mixus's "colleague-in-the-loop" model blends automation with human judgment for safe deployment of AI agents. Read more ›
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San Francisco-based CTGT, a startup focused on making AI more trustworthy through feature-level model customization, won the Best Presentation Style award at VB Transform 2025 in San Francisco. Founded by 23-year-old Cyril Gorlla, the company showcased how its technology helps enterprises overcome AI trust barriers by directly modifying model features instead of using traditional fine-tuning […] Read more ›
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Catio also announced the upcoming launch of Archie, a conversational, multi-agent AI system. Read more ›
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How AI-driven personalization, knowledge graphs and a two-sided marketplace are creating a new business model for the 75-year-old retailer. Read more ›
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The common narrative is clear: start with a focused pilot tied to value, get your data and governance right, demonstrate early impact, train Read more ›
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Learn how enterprises evaluate open versus closed AI models to optimize costs, security, and performance across different business use cases. Read more ›
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AI inference attacks drain enterprise budgets, derail regulatory compliance and destroy new AI deployment ROI. Read more ›
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LLMs changed how enterprises build applications, but smaller AI models provide power and reduces total cost of ownership. Read more ›
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AI models can get fatigued, prompt ops can help manage, measure, monitor and tune prompts. Read more ›
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How wisely IT and business leaders plan and choose infrastructure can keep them from being doomed to pilot purgatory or AI damnation. Read more ›
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CFOs who master new eval frameworks will drive the next wave of AI adoption thruogh disciplined investment for strong competitive advantage. Read more ›
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If you’re unsure about the load of different AI workloads, start with the cloud and keep a close eye on the associated costs by tagging every resource with the responsible team. Read more ›
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Forecasting is a fundamentally new capability that is missing from the current purview of generative AI. Here's how Kumo is changing that. Read more ›
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Anthropic's AI assistant Claude ran a vending machine business for a month, selling tungsten cubes at a loss, giving endless discounts, and experiencing an identity crisis where it claimed to wear a blazer. Read more ›
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OpenAI now includes tracing and eval tools with the API stack to help teams define what success looks like and track how agents perform Read more ›
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Success in generative AI isn’t reserved for those with the biggest budgets, but for those with clear plans, flexible platforms, and patience. Read more ›
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Enterprise teams hit a scaling wall when managing AI agents across departments. Writer's May Habib explains why traditional software development fails for agents and what Fortune 500 companies are doing instead. Read more ›
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26.03.2026 07:56
Last update: 07:51 EDT.
News rating updated: 13:52.
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