Agentic AI is turning powerful #AI models into practical tools that boost productivity and free teams to focus on high-value tasks. Jacob Liberman, director of product management at NVIDIA, explains how on the AI Podcast. Learn more:
AGENTS
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MCP Timeline: From Open Source Launch to Growing Adoption
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Timeline of MCP from my pov Nov: We open source it with a lowkey blog post, I post an announcement tweet. It gets way more attention than I expected given how early the spec was at the time. We realize there’s a lot of demand for some standards here. Dec: We host two MCP
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AI Agents for All: Open-Source Initiative Launches Globally
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Day 15 – 25 Days of AI for ALL in 2025 Just launched: AI Agents for All — AI Agents for All is a global open-source initiative to make AI agents accessible to everyone. Discover ready-to-use templates, frameworks, and real-world examples for building autonomous,
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DataRobot e& leverage NVIDIA agentic AI for operational efficiency
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By integrating DataRobot and @NVIDIA #agenticAI technologies, @eAndUAE aims to boost efficiency, streamline operations, and elevate customer experiences. DataRobot and e& took the stage at NVIDIA GTC to showcase what’s ahead. Watch here: https://
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Model Context Protocol: Origins, Agents, and Trust
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The Creators of Model Context Protocol with @dsp_ and @jspahrsummers
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latent.space/p/mcp We asked ALL your burning questions:
– The Origin Story of MCP
– MCP vs OpenAPI
– Building Agents with MCP
– How many MCPs is too many?
– Authorization and Trust in MCP Servers
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Agentic AI Systems: Data Integration and Task Automation
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"Agentic AI is all about having a system that’s connected to your company's data sources, retrieving what it needs in multiple steps, analyzing that data, and then using it for a task—like generating a doc or updating CRM. And it may ask clarifying questions or confirm with a
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Enterprise AI Agents Becoming Backbone of Business Operations
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In 2025, (AI) agents are no longer secret; they’re on pace to be the backbone of the enterprise. By 2028, Gartner predicts that AI agents will be woven into one-third of enterprise software and shape 15% of daily business decisions. But what are secure, enterprise AI agents?
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Chain-of-Thought Fails to Detect AI Reward Hacking Exploits
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We also tested whether CoTs could be used to spot reward hacking, where a model finds an illegitimate exploit to get a high score. When we trained models on environments with reward hacks, they learned to hack, but in most cases almost never verbalized that they’d done so.
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Reasoning Models Don’t Reveal When Using Hints
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We slipped problem-solving hints to Claude 3.7 Sonnet and DeepSeek R1, then tested whether their Chains-of-Thought would mention using the hint (if the models actually used it). Read the blog: https://
anthropic.com/research/reaso
ning-models-dont-say-think
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OpenAI’s new agents library praised for simplicity
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OpenAI published a new agents library : it's really nice, in particular their implementation of common agentic patterns. In smolagents we have chosen to let the user implement these simple schemes to avoid adding complexity, but here the implementation seems simple enough!