AI over the last six months.

It’s ‘the year of the agent’ where AI systems move beyond simple Q&A to autonomous task execution and multi-agent collaboration. This is my area of experimenting.

Several AI-discovered drug candidates are reaching mid-to-late-stage clinical trials in 2026, marking a shift from computational breakthroughs to tangible medical results. This is of course very exciting.

University of Florida researchers announced a photonic computing chip that performs AI computations using light instead of electricity, promising drastically lower energy consumption; this would be fabulous.

Companies are addressing generative AI’s value-réalisation problem, shifting from individual tools to enterprise-level implementation. This is where I believe the massive job losses will be.

The overall theme: AI is transitioning from experimental technology to production deployment, with infrastructure and practical implementation challenges becoming the primary focus.

How to Beat ChatGPT or How not to Lose your Job to AI.