Tag Archives: newsletter

Subscribe • Previous Issues Human‑Inspired Agents: Translating Workflows into Robust AI Systems When ChatGPT and its peers burst onto the scene at the end of 2022, the analyst community immediately began probing one question: could large language models write SQL for us? The appeal is obvious. More than 400 million Office 365 users—and upwards of 90 percent of firms—still rely on spreadsheets forContinue reading “The Human Blueprint for Smarter AI Agents”

Subscribe • Previous Issues The Rise of Voice as AI’s Interface Layer: Why AI Security Must Come First By Roy Zanbel, Ben Lorica, Yishay Carmiel. Voice technology has raced ahead in the past year, bringing unprecedented convenience. But this rapid progress also unveils a new frontier of risk, as once-narrow synthesis models yield to systems that putContinue reading “Beyond ChatGPT: The Other AI Risk You Haven’t Considered”

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”

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?”

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”

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”

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?”

Subscribe • Previous Issues 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 aContinue reading “The Real AI Race: It’s About Diffusion”

Subscribe • Previous Issues Agents at Work: Navigating Promise, Reality, and Risks Agents are top of mind for people working in AI. Still, when I talk to professionals building AI applications, many express frustration, highlighting the gap between the intense interest in agents and their relatively limited presence in live enterprise environments. Part of this skepticism isContinue reading “Real-World Lessons from Agentic AI Deployments”

Subscribe • Previous Issues Beyond the Hype: The Reality Gap in Multi-Agent Systems The allure of multi-agent systems (MAS), where teams of LLM-based agents collaborate, is undeniable for tackling complex tasks. The theoretical benefits seem clear: breaking down problems, parallelizing work, and leveraging specialized skills promise more sophisticated AI solutions than single agents can deliver. Yet asContinue reading “Why Your Multi-Agent AI Keeps Failing”