New preprint (engrXiv DOI): https://doi.org/10.31224/5792
Agentic AI is powerful—and risky—once tools and data are in reach. This preprint lays out a Zero-Trust architecture for AI agents
Leaders keep asking, “Can the model do it?” The better question is, “Can we govern it?” Durable organizations pair principled dissent with grounded realism and give both a single vantage point—a watchtower—to see weak signals early and act in time.
Frontier tech wins by shipping safely, not just fast. This piece shows how to resolve the release paradox with a four-stage Release Readiness Map: test hard, pilot small, scale with monitoring, and plan rollback. Leaders get metrics and gates to launch responsibly across US, EU and Asia.
The internet is quietly crossing a threshold where machines outnumber humans. Generative AI now fills feeds, forums, and news with synthetic voices that mimic authenticity. This essay examines how trust, truth, and human agency can survive—and be rebuilt—in a post-human web.
When intelligence learns to upgrade itself, progress turns into a feedback loop. From a Skyrim glitch to real-world AI, the lesson is clear: without alignment and governance, optimisation can spiral beyond control. The question is whether we forge wisdom before we forge gods.
