> The main blockers aren’t technical. Most founders pointed to workflow integration, employee trust, and data privacy as the toughest challenges — not model performance.

What does that even mean? Are you trying to say that the problem isn’t that the AI models are bad — it’s that it’s hard to get people to use them naturally in their daily work?

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Arnechos 3 days ago | parent [-]

For example where I work business users required model output to be 100% correct, which wasn't possible, so they decided to stick to old manual workflow.

	▲	sigwinch 3 days ago \| parent [-]
		That’s our definition of a process: when your objective is well-defined, a process is guaranteed to succeed. Not everything is a process. And sometimes people mistake what the desired success must be. For example, a piece of surgical equipment might not have features guaranteeing profitability.