I'm having 'skate to where the puck is going' as a a guiding principle for my own development and analysis of AI-first products. I see many getting bogged down in the current limitations of LLMs and tooling and miss the rapid progress. Do you agree or is it too risky to bet on LLM progress?

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this is a solid articulation of the tension between waiting for tech to be “ready” and building toward where it’s clearly headed. there’s a lot of leverage in being early with infrastructure that assumes capability will catch up, especially when it’s not tied to any single model or vendor.

what’s interesting is that agency, not just reasoning, might be the next unlock. right now we think of LLMs mostly as assistants, but products that let them perceive and act in the world could shift what “ready” even means. sometimes the model doesn’t need to be smarter, it just needs better tools.