The Neuron: AI Explained AI vs Google Search....behind the scenes
52 snips
Oct 10, 2025 
Mark Williams-Cook, Director at Candour and founder of AlsoAsked, dives into the seismic shifts AI is causing in search dynamics. He labels AI a 'leaky bucket,' highlighting how misinformation and spam are rampant. Discover how expired domains manipulate language models and what the collapse of the link graph means for trust in search. Mark shares strategies for improving AI visibility and discusses the risks of brand impersonation. He also predicts that authentic human content will see a resurgence as users seek credibility.
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Schema Links Don't Survive Training
- Tokenization in model training strips structured schema connections so entity links often vanish in LLMs.
- Mark explains that this loss of explicit structure causes models to confuse entities and relationships.
Treat Reasoning Models As Iterative Tools
- Prepare for reasoning-style models but expect they won't match human reasoning immediately.
- Use tools that let models fetch external evidence and treat model 'reasoning' as iterative fact-checking.
Small Error Rates Become Catastrophic
- Even small hallucination rates are catastrophic at internet scale when models serve billions of queries.
- Mark emphasizes that a one percent error rate is enormous given trillions of queries.
