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Will updating your AI agents help or hamper their performance? Raindrop’s new tool Experiments tells you

It seems like almost every week for the last two years since ChatGPT launched, new large language models (LLMs) from rival labs or from OpenAI itself have been released. Enterprises are hard pressed to keep up with the massive pace of change, let alone understand how to adapt to it — which of these new…

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Nvidia researchers boost LLMs reasoning skills by getting them to ‘think’ during pre-training

Researchers at Nvidia have developed a new technique that flips the script on how large language models (LLMs) learn to reason. The method, called reinforcement learning pre-training (RLP), integrates RL into the initial training phase rather than saving it for the end. This approach encourages the model to “think for itself before predicting what comes…

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Echelon’s AI agents take aim at Accenture and Deloitte consulting models

Echelon, an artificial intelligence startup that automates enterprise software implementations, emerged from stealth mode today with $4.75 million in seed funding led by Bain Capital Ventures, targeting a fundamental shift in how companies deploy and maintain critical business systems. The San Francisco-based company has developed AI agents specifically trained to handle end-to-end ServiceNow implementations —…

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The most important OpenAI announcement you probably missed at DevDay 2025

OpenAI’s annual developer conference on Monday was a spectacle of ambitious AI product launches, from an app store for ChatGPT to a stunning video-generation API that brought creative concepts to life. But for the enterprises and technical leaders watching closely, the most consequential announcement was the quiet general availability of Codex, the company’s AI software…

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Capturing the trillion dollar opportunity with autonomous professional services

Presented by Certinia Every professional services leader knows the feeling: a pipeline full of promising deals, but a bench that’s already stretched thin. That’s because growth has always been tied to a finite supply of consultants with finite availability to work on projects. Even with strong market demand, most firms only capture 10-20% of their…

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The next AI battleground: Google’s Gemini Enterprise and AWS’s Quick Suite bring full-stack, in-context AI to the workplace

The friction of having to open a separate chat window to prompt an agent could be a hassle for many enterprises. And AI companies are seeing an opportunity to bring more and more AI services into one platform, even integrating into where employees do their work.  OpenAI’s ChatGPT, although still a separate window, is gradually…

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Zendesk launches new AI capabilities for the Resolution Platform, creating the ultimate service experience for all

Presented by Zendesk Zendesk powers nearly 5 billion resolutions every year for over 100,000 customers around the world, with about 20,000 of its customers (and growing) using its AI services. Zendesk is poised to generate about $200 million in AI-related revenue this year, double than some of its largest competitors, while investing $400 million dollars…

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MCP stacks have a 92% exploit probability: How 10 plugins became enterprise security’s biggest blind spot

The same connectivity that made Anthropic’s Model Context Protocol (MCP) the fastest-adopted AI integration standard in 2025 has created enterprise cybersecurity’s most dangerous blind spot. Recent research from Pynt quantifies the growing threat in clear, unambiguous terms. Their analysis exposes the startling network effect of vulnerabilities that escalate the more MCP plugins are used. Deploying…

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MCP stacks have a 92% exploit probability: How 10 plugins became enterprise security’s biggest blind spot

The same connectivity that made Anthropic’s Model Context Protocol (MCP) the fastest-adopted AI integration standard in 2025 has created enterprise cybersecurity’s most dangerous blind spot. Recent research from Pynt quantifies the growing threat in clear, unambiguous terms. Their analysis exposes the startling network effect of vulnerabilities that escalate the more MCP plugins are used. Deploying…

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New memory framework builds AI agents that can handle the real world’s unpredictability

Researchers at the University of Illinois Urbana-Champaign and Google Cloud AI Research have developed a framework that enables large language model (LLM) agents to organize their experiences into a memory bank, helping them get better at complex tasks over time. The framework, called ReasoningBank, distills “generalizable reasoning strategies” from an agent’s successful and failed attempts…

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