Playing around with Sphinx AI's new batch embedding today to categorize some famous books ... not sure I'd agree that Harry Potter deserves its own cluster, but who am I to argue with the data 🧙‍♂️

Working with data superficially looks like software engineering , but the workflows are distinct in important ways. Watch Sphinx go head-to-head vs. Cursor on a simple data science task and see how these differences lead to significant divergences. sphinx.ai/blog/data-vs-s…

MCP servers are a huge mess. Many servers return data, not context, and AI needs to account for that. When using MCP, Sphinx AI now disambiguates between data and context, and treats data as data. And yes ... we tried Linear for a week, and went back to our giant whiteboard.

AI agents navigate by dead reckoning ... they have vague headings and take reckless steps. This results in logical errors and conclusions no better than hallucinations. Sphinx AI always finds its bearings. See how control and introspection lets us deliver accurate results:

Sphinx is now even faster! And, we've improved the knobs for how autonomously Sphinx acts as it works alongside you. sphinx.ai/blog/sphinx-0-…

No compute? No problem! You can now use Sphinx with Google Colab's VS Code extension to build complex models and analyses in your IDE, all totally free and with no need for local resources! See Sphinx build a CNN model on MNIST on a Colab GPU:

As we head into the long weekend, I’m excited to dive into a few pet data projects. What’s making this ridiculously easy is Sphinx AI + the new Google Colab extension. In <1 min, I can spin up free GPUs for our best-in-class copilot. See how below! Added bonus: it's all free 💸