Beyond Open Weights: The Path to Unconditionally Open AI

While I routinely work with both proprietary LLMs and open-weights models, my heart lies with models that are open in the fullest sense. Very early on, I noted that for foundation models, ‘open’ must comprehensively cover not just weights but also data, code, and the detailed recipes crucial for genuine reproducibility. Measured against this standard,Continue reading “Beyond Open Weights: The Path to Unconditionally Open AI”

Why this AI veteran left Google to make models ‘unconditionally open’

Subscribe • Previous Issues Beyond Open Weights: The Path to Unconditionally Open AI While I routinely work with both proprietary LLMs and open-weights models, my heart lies with models that are open in the fullest sense. Very early on, I noted that for foundation models, ‘open’ must comprehensively cover not just weights but also data, code, andContinue reading “Why this AI veteran left Google to make models ‘unconditionally open’”

Claude Opus 4 and Claude Sonnet 4: Cheat Sheet

Claude Opus 4 and Claude Sonnet 4 are Anthropic’s latest hybrid-reasoning language models. The system card explains how the models were trained on a blend of public web data, opted-in user content and proprietary sources, and how they can switch between a quick default mode and a slower “extended thinking” mode for harder problems. TheContinue reading “Claude Opus 4 and Claude Sonnet 4: Cheat Sheet”

Apple’s AI: Efficiency, Privacy, and Seamless Integration

Apple’s success has been built upon a meticulous fusion of hardware, software, and services, consistently shaping how people interact with technology while championing user privacy. However, the recent explosion in artificial intelligence, particularly generative AI, presents a new paradigm. While the company is often perceived as playing catch-up to rivals who have rapidly deployed high-profileContinue reading “Apple’s AI: Efficiency, Privacy, and Seamless Integration”

Beyond Siri: The Real Apple AI Story

Subscribe • Previous Issues Apple’s AI: Efficiency, Privacy, and Seamless Integration Apple’s success has been built upon a meticulous fusion of hardware, software, and services, consistently shaping how people interact with technology while championing user privacy. However, the recent explosion in artificial intelligence, particularly generative AI, presents a new paradigm. While the company is often perceived asContinue reading “Beyond Siri: The Real Apple AI Story”

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 for core analysis, so any effective AI tool for analysts tapsContinue reading “Human‑Inspired Agents: Translating Workflows into Robust AI Systems”

The Human Blueprint for Smarter AI Agents

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”

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 put voice at the center of human-machine interaction. Advances such as Sesame’s CSM architecture, F5-TTS’s ultra‑fast cloning,Continue reading “The Rise of Voice as AI’s Interface Layer: Why AI Security Must Come First”

Beyond ChatGPT: The Other AI Risk You Haven’t Considered

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”

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 edited excerpt from that conversation, covering both recentContinue reading “OpenAI’s $125B Claim—Can It Really Happen?”