Curated insights from the front lines of data science and automation.
April 2026 felt like the “agentic era” becoming operational reality: models got better at staying on task for hours, product teams shipped orchestration layers into real workflows, and the cybersecurity world got a preview of what happens when vulnerability discovery scales like software. Here is your monthly round-up of
March 2026 marked a pivotal shift in the AI landscape. While the race for larger models continues, this month was defined by a surge in "agentic" models: smaller, faster, and more efficient architectures designed to power autonomous agents and complex workflows. From OpenAI's new GPT-5.
In March 2026, we have reached a strange milestone in the AI revolution: The "Intelligence Problem" is effectively over. Between the release of GPT-5.2, Claude Opus 4.6, and the hyper-efficient Qwen 3.5 9B, we finally have models that can reason, code, and execute
There is a growing anticipation that generative AI will fuel significant economic growth, with consulting firms projecting that AI-driven automation and task augmentation could create unprecedented economic value. However, some economists, including Daron Acemoglu, urge caution, suggesting that while AI’s impact may be notable, its immediate productivity gains