Evangelos Simoudis occupies a valuable vantage point at the intersection of AI innovation and enterprise adoption. Because he engages directly with both corporations navigating AI implementation and the startups building new solutions, I always appreciate checking in with him. His insights are grounded in a unique triangulation of data streams, including firsthand information from hisContinue reading “Generative AI in the Real World: Lessons From Early Enterprise Winners”
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Is Your AI Still a Pilot? Here’s How Enterprises Cross the Finish Line
Subscribe • Previous Issues Generative AI in the Real World: Lessons From Early Enterprise Winners Evangelos Simoudis occupies a valuable vantage point at the intersection of AI innovation and enterprise adoption. Because he engages directly with both corporations navigating AI implementation and the startups building new solutions, I always appreciate checking in with him. His insights areContinue reading “Is Your AI Still a Pilot? Here’s How Enterprises Cross the Finish Line”
The Model Reliability Paradox: When Smarter AI Becomes Less Trustworthy
The Model Reliability Paradox: When Smarter AI Becomes Less Trustworthy A curious challenge is emerging from the cutting edge of artificial intelligence. As developers strive to imbue Large Language Models (LLMs) with more sophisticated reasoning capabilities—enabling them to plan, strategize, and untangle complex, multi-step problems—they are increasingly encountering a counterintuitive snag. Models engineered for advancedContinue reading “The Model Reliability Paradox: When Smarter AI Becomes Less Trustworthy”
The troubling trade-off every AI team needs to know about
Subscribe • Previous Issues The Model Reliability Paradox: When Smarter AI Becomes Less Trustworthy A curious challenge is emerging from the cutting edge of artificial intelligence. As developers strive to imbue Large Language Models (LLMs) with more sophisticated reasoning capabilities—enabling them to plan, strategize, and untangle complex, multi-step problems—they are increasingly encountering a counterintuitive snag. Models engineeredContinue reading “The troubling trade-off every AI team needs to know about”
The Multimodal Moment: Turning Holistic Perception into Business Value
AI models are demonstrating rapidly growing proficiency in understanding and generating content across diverse modalities like text, images, audio, and video. This capability is maturing in large foundation models, such as Google Gemini, which can now efficiently handle complex, long multimedia inputs. Chinese firms are also advancing quickly: ByteDance’s UI-TARS and OmniHuman, together with Alibaba’sContinue reading “The Multimodal Moment: Turning Holistic Perception into Business Value”
Is Your Data Stack Ready for Multimodal AI?
Subscribe • Previous Issues The Multimodal Moment: Turning Holistic Perception into Business Value AI models are demonstrating rapidly growing proficiency in understanding and generating content across diverse modalities like text, images, audio, and video. This capability is maturing in large foundation models, such as Google Gemini, which can now efficiently handle complex, long multimedia inputs. Chinese firmsContinue reading “Is Your Data Stack Ready for Multimodal AI?”
Qwen 3: What You Need to Know
Table of Contents Model Architecture and Capabilities What is Qwen 3 and what models are available in the lineup? What are the “Hybrid Thinking Modes” in Qwen 3, and why are they valuable for developers? How does Qwen 3 compare to previous versions and other leading models? What are the advantages of Qwen 3’s Mixture-of-ExpertsContinue reading “Qwen 3: What You Need to Know”
Securing Generative AI: Beyond Traditional Playbooks
Generative AI is moving beyond lab experiments and is beginning to power critical business workflows. This shift has fundamentally transformed the security landscape. Unlike traditional software, Large Language Models (LLMs) and agentic systems introduce vulnerabilities more akin to human fallibility than traditional code exploits. Since LLMs generate responses probabilistically rather than deterministically, carefully crafted inputsContinue reading “Securing Generative AI: Beyond Traditional Playbooks”
Is Your AI Secure? New Threats & How to Mitigate Them
Subscribe • Previous Issues Securing Generative AI: Beyond Traditional Playbooks Generative AI is moving beyond lab experiments and is beginning to power critical business workflows. This shift has fundamentally transformed the security landscape. Unlike traditional software, Large Language Models (LLMs) and agentic systems introduce vulnerabilities more akin to human fallibility than traditional code exploits. Since LLMs generateContinue reading “Is Your AI Secure? New Threats & How to Mitigate Them”
US vs. China: Who Wins the Critical AI Diffusion Battle?
When comparing the United States and China in artificial intelligence, the spotlight is on the development of foundation models. At first glance, America maintains a comfortable numerical lead, producing 40 notable models in 2024 compared to China’s 15. However, looking deeper reveals a more complex story: China’s best models, particularly from DeepSeek, Alibaba (Qwen), andContinue reading “US vs. China: Who Wins the Critical AI Diffusion Battle?”