ai

Edge AI for industrial: Jetson, YOLO, and the real cost of leaving the cloud

Edge AI sounds like a way to save on cloud inference bills. In practice, it usually is not. The right reasons to go to the edge are latency, privacy, and bandwidth, in that order, and if your reason is not one of those three, stay in the cloud.

6 min read

Series A engineering in the age of AI: stay lean, but know what still forces you to grow

The old Series A reflex was to raise the round and hire engineering up to twenty-five people. In 2026 that reflex is wrong. AI raises per-engineer output enough that you can stay lean far longer, but the organizational transition does not disappear. It relocates.

6 min read

RAG vs fine-tuning

Why now? 2023 is definitely a year of LLMs - GPT-4 and later on GPT-4-Turbo, LLaMA and LLaMA 2, Falcon,

4 min read

Harnessing AI and Robotics for Sustainable Agriculture: Innovative Solutions to Combat Climate Crisis

The increasing effects of climate change and the global population's growing demand for food have placed immense pressure on the agriculture industry.

2 min read