David Driggers, CTO of Cirrascale – Interview Series

David Driggers is the Chief Technology Officer at Cirrascale Cloud Services, a leading provider of deep learning infrastructure solutions. Guided by values of integrity, agility, and customer focus, Cirrascale delivers innovative, cloud-based Infrastructure-as-a-Service (IaaS) solutions. Partnering with AI ecosystem leaders like Red Hat and WekaIO, Cirrascale ensures seamless access to advanced tools, empowering customers to…

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Digital Warlords: The AI Identity Security Threat That Will Redefine Organizational Survival

I’ve seen many evolutions of threats in my years as a cybersecurity CEO, but nothing compares to the danger emerging right now. Organizations are facing a new breed of adversary—Digital Warlords—AI-powered adversaries who have fundamentally redesigned the identity vulnerability in enterprises. These aren’t your traditional bad actors; they’re sophisticated operators wielding AI to expand their…

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DeepSeek-R1: Transforming AI Reasoning with Reinforcement Learning

DeepSeek-R1 is the groundbreaking reasoning model introduced by China-based DeepSeek AI Lab. This model sets a new benchmark in reasoning capabilities for open-source AI. As detailed in the accompanying research paper, DeepSeek-R1 evolves from DeepSeek’s v3 base model and leverages reinforcement learning (RL) to solve complex reasoning tasks, such as advanced mathematics and logic, with…

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Expanding robot perception

Robots have come a long way since the Roomba. Today, drones are starting to deliver door to door, self-driving cars are navigating some roads, robo-dogs are aiding first responders, and still more bots are doing backflips and helping out on the factory floor. Still, Luca Carlone thinks the best is yet to come. Carlone, who…

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Productivity Myths in Software Engineering

Over two decades, the concept of productivity has evolved and expanded in all sorts of directions within software engineering-on many occasions with confusing or contradictory results. During my early years in this field, I was under the wrong impression that more hours of work, more lines of code, and more “activity” automatically meant better results….

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Synthetic Data: A Double-Edged Sword for the Future of AI

The rapid growth of artificial intelligence (AI) has created an immense demand for data. Traditionally, organizations have relied on real-world data—such as images, text, and audio—to train AI models. This approach has driven significant advancements in areas like natural language processing, computer vision, and predictive analytics. However, as the availability of real-world data reaches its…

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What You Need to Know About OpenAI’s Operator

Over the past few weeks, OpenAI has been laying groundwork. While most users were just starting to really explore ChatGPT Tasks – a new feature that lets user schedule and trigger tasks – the company was preparing for something far more significant. Yesterday’s release of Operator is yet another clear signal of where artificial intelligence…

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Breaking Data Barriers: Can Anthropic’s Model Context Protocol Enhance AI Performance?

Anthropic’s innovative Model Context Protocol (MCP) aims to tackle fragmented data and boost the efficiency of AI-powered solutions. Could it become the standard for context-aware AI integration? One of the most pressing challenges in artificial intelligence (AI) innovation today is large language models’ (LLMs) isolation from real-time data. To tackle the issue, San Francisco-based AI…

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