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Analytics and AI without the intimidation. Plain-language guides to SQL, data work, and practical AI — examples you can use at work, a little humor, no PhD required.
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Jev and TypeSafe AI: Inside the First System One Model and RLCD Training
TypeSafe AI and former OpenAI researcher Diogo Almeida introduced Jev, a non-autoregressive decision model trained with RLCD instead of RLHF. Learn how its three typed primitives replace flaky LLM string parsing in real applications.
What Llama is (family, not one chatbot app)
Llama is a family of weight files plus runners and hosts, not one chat app. Name the door before you paste work…
Ask, edit, test, review loop
Across IDE assist and terminal agents, keep the same loop: clear ask, small diffs, tests that matter, human review before merge. The…
System One Models: The Fast, Non-Autoregressive Decision Layer for Software
System One models process program state in a single parallel pass to output typed, probabilistic decisions rather than chat prose. Here is…
Chat APIs for open models: Groq, Together, Fireworks
Hosted APIs for open weights bill by tokens and still send prompts off your machine. Separate Groq from Grok, set a spend…
