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In this upcoming blog post, I walk through how AI systems are engineered from “mere autocomplete” into reliable tools for real-world tasks: from enterprise question answering and data analysis to coding, theorem proving, and drug discovery. If you’re curious about how these applications are built, the post will go live on February 6. You can also subscribe to the newsletter on the main page.

What happens when your AI chatbot becomes a genius saboteur? This post explores how attacks can slip past your safety guardrails - and the resilient architectures you need to ensure a breach doesn't turn into a catastrophe.

Modern models can fool humans in conversation, but do they actually understand anything? This article revisits the Turing Test, explores what it was originally meant to measure, and asks whether LLMs will ever reach - or have already passed - that threshold. Coming soon.