Subscribe • Previous Issues OpenAI’s $125B Claim—Can It Really Happen? Dan Schwarz, CEO of Futuresearch, recently shared insights from his company’s ongoing analysis of OpenAI and the broader Generative AI market. Futuresearch has recently focused on dissecting OpenAI’s revenue composition to forecast its growth prospects, publishing several analytic reports on the topic. What follows is a heavily editedContinue reading “Deconstructing OpenAI’s Path to $125 Billion”
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Chinese Open-Weights AI: Separating Security Myths from Reality
Walking the floor at last week’s RSA Conference in San Francisco, it was clear that artificial intelligence dominates the conversation among security professionals. Discussions spanned both harnessing AI for security tasks – ‘agents’ were a recurring theme – and the distinct challenge of securing AI systems themselves, particularly foundation models. The rapidly growing pool ofContinue reading “Chinese Open-Weights AI: Separating Security Myths from Reality”
Are Chinese open-weights Models a Hidden Security Risk?
Subscribe • Previous Issues Chinese Open-Weights AI: Separating Security Myths from Reality Walking the floor at last week’s RSA Conference in San Francisco, it was clear that artificial intelligence dominates the conversation among security professionals. Discussions spanned both harnessing AI for security tasks – ‘agents’ were a recurring theme – and the distinct challenge of securing AIContinue reading “Are Chinese open-weights Models a Hidden Security Risk?”
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 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”
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”