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 …
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Venturebeat
The challenges CTOs face on the agent side stem from incomplete standards for agent identity, improvised tooling, and enterprises…
Anthropic is now capturing over 73% of all spending among companies buying AI tools for the first time, according to customer data from Ramp. Why it …
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Axios
AI's revenue divide
With the way AI companies are spending, they have no choice but to generate more revenue — and quickly.
What does the world actually want from artificial intelligence (AI)? Not what tech companies think people want, but what real people, across …
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AI Tools Club
Anthropic Surveyed 81,000 People in 159 Countries About AI — Here's What They Found
Anthropic invited Claude.ai users to share their honest perspectives on AI; their hopes, dreams, and fears. The response was staggering.
I. The Threshold Has Been Crossed We are past the point where the question is whether artificial intelligence will exceed human capability across most …
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Sahaj Garg
The Displacement of Cognitive Labor and What Comes After
I. The Threshold Has Been Crossed
Mark Cuban believes in a future where humans live alongside robots, just not the ones you're probably picturing. "Everybody's making this push for humanoid robots. I think they might have a 5-year lifespan, and then they'll fail miserably. Maybe 10," Cuban said Thursday on the live-streamed tech …
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Business Insider
Mark Cuban says the future of robotics isn't humanoids, but robots and homes that are co-designed
Mark Cuban said the push for humanoid robots will fail and that instead robots and spaces will be co-designed.
An exclusive conversation with OpenAI’s chief scientist, Jakub Pachocki, about his firm's new grand challenge and the future of AI. EXECUTIVE …
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MIT Technology Review
OpenAI is throwing everything into building a fully automated researcher
An exclusive conversation with OpenAI’s chief scientist, Jakub Pachocki, about his firm's new grand challenge and the future of AI.
Government often tries to make rules for industries it doesn’t understand. There’s a better way. The most consequential technology of our lifetimes is being regulated by people who can’t agree on what it is. Several states and the European Union have enacted sweeping rules governing artificial …
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The Wall Street Journal
Opinion | The Economics of Regulating AI
Government often tries to make rules for industries it doesn’t understand. There’s a better way.
Hardware costs for humanoid robots are plummeting, but managing a fleet of these autonomous workers will severely test your enterprise IT …
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TechRepublic
Humanoid Robots Are Getting Cheaper — But Enterprise Costs Are Just Getting Started
Hardware costs for humanoid robots are plummeting, but managing a fleet of these autonomous workers will severely test your enterprise IT infrastructure, security, and budget.
When OpenAI CEO Sam Altman took the stage at BlackRock's U.S. Infrastructure Summit earlier this month, he acknowledged his company is facing a harsh …
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CNBC
OpenAI's data center pivot underscores Wall Street spending concerns ahead of IPO
As OpenAI gears up for a potential IPO, it's outlined a more tempered infrastructure strategy and has moved away from an ambitious agreement with Nvidia.
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 …
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Venturebeat
Testing autonomous agents (Or: how I learned to stop worrying and embrace chaos)
The current state of AI agent development is characterized by significant architectural fragmentation. Software devs building autonomous systems must …
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MarkTechPost
Meet GitAgent: The Docker for AI Agents that is Finally Solving the Fragmentation between LangChain, AutoGen, and Claude Code
Meet GitAgent: The Docker for AI Agents that is Finally Solving the Fragmentation between LangChain, AutoGen, and Claude Code
Companies spent $37 billion on AI in 2025—but most employees still don’t know how to use it. Enterprise AI spending hit $37 billion in 2025—a 200% jump from the year before. The message from the C-suite couldn’t be clearer: AI is no longer a competitive advantage. It’s table stakes. So why are …
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Fast Company
Why your employees aren't using the AI you bought
Companies spent $37 billion on AI in 2025—but most employees still don’t know how to use it.
World Models (WMs) are a central framework for developing agents that reason and plan in a compact latent space. However, training these models …
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MarkTechPost
Yann LeCun’s New LeWorldModel (LeWM) Research Targets JEPA Collapse in Pixel-Based Predictive World Modeling
Yann LeCun’s New LeWorldModel (LeWM) Research Targets JEPA Collapse in Pixel-Based Predictive World Modeling
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 …
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Venturebeat
Three ways AI is learning to understand the physical world
Large language models lack grounding in physical causality — a gap world models are designed to fill. Here's how three distinct architectural approaches (JEPA, Gaussian splats, and end-to-end generation) work, where each fits, and what hybrid architectures…
Web infrastructure giant Cloudflare is seeking to transform the way enterprises deploy AI agents with the open beta release of Dynamic Workers, a new lightweight, isolate-based sandboxing system that it says starts in milliseconds, uses only a few megabytes of memory, and can run on the same …
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Venturebeat
Cloudflare’s new Dynamic Workers ditch containers to run AI agent code 100x faster
Cloudflare says dynamically loaded Workers are priced at $0.002 per unique Worker loaded per day, in addition to standard CPU and invocation charges
Artificial intelligence is no longer confined to innovation labs or experimental pilots. It is now embedded across enterprise operations, including …
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TechRadar
How AI is reshaping compliance: Why governance still matters
Compliance must adapt to keep pace with AI risk
Tencent has officially launched ClawBot, a plugin that integrates the popular open-source AI agent framework OpenClaw into its flagship messaging …
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DIGITIMES
OpenClaw lands in WeChat, signaling a new era of AI agents in messaging
Tencent has officially launched ClawBot, a plugin that integrates the popular open-source AI agent framework OpenClaw into its flagship messaging platform, WeChat, marking a significant move in China's AI race. The integration allows WeChat's over one billion…
A little more than three years after ChatGPT went public, the argument over artificial intelligence is no longer just about better tools or faster …
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The Brighter Side of News
AI is forcing a complete reimagining and reconfiguration of education
A new study says AI is reviving ideological competition and forcing education to take on a new civic role.
Dive Brief: • Performing inference on an AI model with 1 trillion parameters will cost large language model providers more than 90% less in 2030 …
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CIO Dive
AI inference costs set to plunge: Gartner
But CIOs likely won't see any savings as model sizes go up and functionality becomes more advanced, the analyst firm said.
Anthropic’s latest research suggests that while AI is rapidly changing the way work gets done, it hasn’t meaningfully eliminated jobs. At least, not yet. But beneath what Anthropic’s head of economics, Peter McCrory, says is a “still healthy” labor market, early signs are pointing to uneven …
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TechCrunch
The AI skills gap is here, says AI company, and power users are pulling ahead | TechCrunch
Anthropic finds AI isn’t replacing jobs yet, but early data shows growing inequality as experienced users gain an edge, raising concerns about future displacement and workforce divides.
Make AI work smarter, not harder. We have seen the future of AI via Large Language Models. And it's smaller than you think. That much was clear in 2025, when we first saw China's DeepSeek — a slimmer, lighter LLM that required way less data center energy to do its job and performed surprisingly well …
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Mashable
Google AI compression technology saves data center energy
Make AI work smarter, not harder.