An AI startup called Probably just raised nine million dollars to fix one of generative AI's most glaring problems: hallucinations and factual errors. Their goal is straightforward—build systems as reliable as traditional, deterministic software. TechCrunch reports that Probably is targeting accuracy standards that match conventional programming systems. If they pull it off, it could reshape how organizations trust and deploy AI in mission-critical applications.

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