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Just over five years ago, Dr. Becky Kennedy did not have an Instagram account. The married mother of three was a practicing psychologist in Manhattan who counseled families in person. But as the COVID pandemic trapped parents at home with restless kids, she launched herself on Instagram, taking to the masses what would become her signature parenting concepts: modeling emotional regulation, setting boundaries, and recognizing so-called “deeply feeling” kids who are, in her words, “more porous to the world.” A few months later, she started a company, Good Inside—a nod to her belief that all children are good inside.
As a data scientist, I’ve been frustrated that there haven’t been any impactful new Python data science tools released in the past few years other than polars. Unsurprisingly, research into AI and LLMs has subsumed traditional DS research, where developments such as text embeddings have had extremely valuable gains for typical data science natural language processing tasks. The traditional machine learning algorithms are still valuable, but no one has invented Gradient Boosted Decision Trees 2: Electric Boogaloo. Additionally, as a data scientist in San Francisco I am legally required to use a MacBook, but there haven’t been data science utilities that actually use the GPU in an Apple Silicon MacBook as they don’t support its Metal API; data science tooling is exclusively in CUDA for NVIDIA GPUs. What if agents could now port these algorithms to a) run on Rust with Python bindings for its speed benefits and b) run on GPUs without complex dependencies?
Кадр: The Sun / YouTube