H-FARM PROGRAMS ON AI

AI Super Power

The Professional Master to bring AI into your department

AI Super Power is the Professional Master by H-FARM Business School for managers who want AI inside their workflows, not just in a browser tab.

In 85 hours you design no-code automations and AI agents, with a faculty that includes Diego Pizzocaro and Alessandro Scandaletti of H-FARM AI.

Starts on 27 October 2026 on the H-FARM Campus in Roncade. Part-time and taught in Italian, with in-person weekends and online evening sessions, for managers, department heads and entrepreneurs ready to lead AI adoption. Last Early Bird seats available.

• Hands-on workshops on real business briefs: data analysis, autonomous agents, multi-agent orchestration, AI Act compliance and security.

• You leave with an AI agent trained on your company’s data, an adoption roadmap for your team and an H-FARM Business School Open Badge.

🤖 Anthropic ships Claude Duet, its proactive AI agent 🤖
Opus 5.5-powered agent monitors your apps and works autonomously with rollout via waitlist.

Anthropic unveiled Claude Duet, a proactive AI agent that goes well beyond chat — it actively monitors your connected apps, prioritizes tasks, and executes work on its own dedicated cloud computer. Unlike traditional assistants that wait for prompts, Duet surfaces what matters and acts on it, while still requesting explicit approval before sending messages, making payments, or deleting data. This is a major competitive pressure signal as AI agents shift from reactive to autonomous. The research preview is currently available via waitlist to US Pro and Max subscribers, powered by the new Opus 5.5 model. Anthropic is clearly betting that always-on, agentic integration across everyday tools is the next frontier for consumer AI.

🔒 GPT-5.6 Sol catches critical PHP vulnerabilities 🔒
OpenAI's model spots flaws in the language powering 70% of the web, triggering regulation-level response.

OpenAI's GPT-5.6 Sol helped security researchers identify two critical vulnerabilities in PHP, the programming language behind roughly 70% of the world's websites. The discovery triggered an urgent coordinated response: the NSA urged organizations to pull unpatched systems offline immediately, while governments in Finland, Germany, and the Netherlands took vulnerable websites down as Cloudflare reported early exploitation attempts in the wild. This marks a concrete capability jump for AI in cybersecurity — moving from theoretical vulnerability analysis to real-world, high-stakes discovery that shapes government policy. It also strengthens OpenAI's case that frontier models can serve as critical infrastructure defense tools, not just productivity aids.

⚡ Meta's Prometheus supercluster hits gigawatt scale ⚡
Phase one of the Ohio-based AI infrastructure links hundreds of thousands of Nvidia GPUs at speed.

Meta completed the first phase of Prometheus, its gigawatt-scale AI supercluster located in Ohio that connects hundreds of thousands of Nvidia chips into a unified training fabric. The project is an adoption signal for massive-scale AI infrastructure: Meta and Nvidia spent a full year engineering reliability, cutting interruptions by 99% — a critical achievement when a single fault can waste millions of dollars in lost compute time. The company plans to scale the cluster to approximately 1 million GPUs, which would make Prometheus one of the largest AI training installations in the world and a cornerstone of Meta's open-model ambitions.

INTERESTING TO KNOW

☁️ OpenAI models roll out on Google Cloud ☁️

OpenAI's frontier models and Codex agentic workflows are expanding access to enterprise customers through Google Cloud's Model Garden, giving organizations native integration with Google's built-in access controls and infrastructure. The partnership is a notable distribution play — enterprises locked into Google's ecosystem can now deploy OpenAI models without switching platforms, increasing competitive pressure on Google's own Gemini offerings within its own cloud.

🚀 Inception's Mercury 3 generates 1,000+ tokens per second 🚀

Inception launched Mercury 3, a diffusion language model focused on speed that generates over 1,000 tokens per second — claiming to match or beat GPT-6 Luna and Claude Haiku 5.5 at 4-8x their speed. Priced at just $0.20/$0.70 per million tokens, the pricing undercuts major providers and signals competitive pressure on API costs. If the benchmarks hold, Mercury 3 could become the go-to choice for latency-sensitive applications where every millisecond matters.