AI That Corrects Itself: No More Glue on Pizza
AI That Corrects Itself: No More Glue on Pizza
If your AI can’t even spell "strawberry" correctly, can you really trust it with your business decisions?
HyperWrite’s new AI model, Reflection 70B, promises to fix a major flaw that has plagued current chatbots — hallucinations, where AI invents incorrect facts. Based on Meta’s Llama model, Reflection 70B introduces a novel "reflection-tuning" system that allows it to catch its own mistakes.
Instead of confidently spewing wrong answers, like claiming strawberries have two "R"s, the AI can now review its output, spot errors, and correct them before finalizing responses. This self-correcting feedback loop enhances reliability, especially in high-stakes uses where misinformation can lead to real-world consequences.
As AI becomes more deeply embedded in daily life, accuracy is no longer optional. How much trust are we willing to place in AIs, and how can we ensure they evolve to truly support human intelligence rather than mislead it?
Read the full article on Inc.
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Dr. Mark van Rijmenam
Dr. Mark van Rijmenam is The Digital Speaker, a world-leading futurist and global AI keynote speaker who helps leaders decide what AI, and the technologies that follow it, mean for their business. He speaks to leadership teams at their retreats and to conference audiences worldwide, and his WAVE framework gives them a way of deciding that they keep using long after he has left the room. His Intelligence Age Scorecard measures how ready an organization is across the four WAVE pillars.
He holds a PhD from the University of Technology Sydney, is a Certified Speaking Professional and Global Speaking Fellow, and ranks among the world’s top futurists on the Global Gurus list (#1 in 2025, #3 in 2026). Salesforce named him one of its 16 leading AI voices. He has written six books, most recently Now What? How to Ride the Tsunami of Change, writes the Synthetic Minds newsletter on Substack, and founded Futurwise. Talk to his digital twin on WhatsApp: +1 (830) 463-6967.
