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9 results for “AI”

  1. Python Exchange - Sovereign AI
  2. Giving Your AI a Map: Ontology as a Boundary Object That Actually Enforces Meaning

    The Python and data science communities I spend time with are asking the right questions about AI reliability. Not just "does it work?" but "does it work correctly, and can we verify that?" Ontology-as-boundary-object is one of the more rigorous …

  3. AI Agents for Your Business: How A Build Grows in the Wild

    How I grow a worker-agent build for a client, one increment at a time: connections, skills, tests, automation, observability, and handing over the controls.

  4. Lab: Run and Extend an AI Crew on Real NASA Data (LCARS Online)

    In about an hour, set up an AI agent crew on your laptop, run a real data science mission on NASA exoplanet data, and give one of the agents a new tool.

  5. Two hats at AGNTCon + MCPCon
  6. Ornith-1.5-9B: strong benchmarks, stale Python, and why that's fixable

    Ornith-1.5-9B posts big agentic coding numbers and fits on a 16 GB laptop. It also barely knows Python 3.15. Here's what it is, how to run it, and how a community fine-tune closes the gap.

  7. PyCon US 2026 Recap

    There are a few themes I saw at PyCon US: (1) Practical adoption of AI (2) Pin your dependencies, audit your packages / make security accessible to everyone (3) Traveling to the US was too high of a barrier to …

  8. Back to the bench: updating the flower shop agents
  9. Does your local model actually know new Python? A tactical guide

    Small models can do real work on a 16 GB laptop, but they're convincing long before they're correct. Here's how to check what a local model really knows, with code you can rerun.