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Most teams don’t think about quality assurance until something breaks. In this episode, Mick calls out the tendency to assume AI will “just work” and explains why that mindset invites risk. We talk about infamous failures (hello, Tay), the dangers of skipping validation and content filtering, and how unchecked hallucinations can spiral into full-blown model drift. If you’re building with generative AI, this is your reminder to slow down, set up safeguards, and treat QA like the strategic layer it is, not an afterthought.
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Connect with The Confluencial https://www.linkedin.com/company/the-confluencial
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By kylerturnbullMost teams don’t think about quality assurance until something breaks. In this episode, Mick calls out the tendency to assume AI will “just work” and explains why that mindset invites risk. We talk about infamous failures (hello, Tay), the dangers of skipping validation and content filtering, and how unchecked hallucinations can spiral into full-blown model drift. If you’re building with generative AI, this is your reminder to slow down, set up safeguards, and treat QA like the strategic layer it is, not an afterthought.
Try our FREE ERP Shortlist tool: https://theconfluencial.com/river-ai Connect with me on LinkedIn https://www.linkedin.com/in/kylercheatham/ Follow me on Instagram https://www.instagram.com/kyler_cheatham_tech/ Follow me on TikTok https://www.tiktok.com/@kylercheatham
Connect with The Confluencial https://www.linkedin.com/company/the-confluencial
Follow The Confluencial on TikTok: https://www.tiktok.com/@the.confluencial