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Podcast
The Great AI Debate: Do AI Models Truly ‘Get’ It? (Ep. 26)
Do large language models like ChatGPT or Deep Seek actually understand the world, or are they just really good at faking it?
In this episode, we dig into the debate: are LLMs building genuine “world models” or just recycling patterns from massive datasets? We’ll explore real-world AI fails, like the skin lesion detector that linked rulers to cancer, and what that means for AI in diagnosing conditions like vitiligo.
Tune in to get the real story behind AI’s so-called “understanding.”
Suggested reading:
- Do AI Models Really Understand the World of Vitiligo?
- Cheaper AI, Higher Stakes: What Startups and Big Pharma Must Know
FAQOther Questions
- Which is better for judging vitiligo — Wood’s lamp or dermoscopy?
A recent study out of India compared the two head-to-head. Both tools correlated fairly well with clinical criteria, but dermoscopy had a slight edge: Wood’s lamp: sensitivity 7...
- What tests for vitiligo should be done?
Before starting vitiligo therapy, several tests may be recommended to ensure an accurate diagnosis and appropriate treatment plan: Physical Examination A thorough physical exami...
- Will it spread?
Vitiligo is famously unpredictable, but it doesn't move at random. By looking at thousands of cases, researchers have identified specific patterns of how the condition behaves. ...
Though it is not always easy to treat vitiligo, there is much to be gained by clearly understanding the diagnosis, the future implications, treatment options and their outcomes.
Many people deal with vitiligo while remaining in the public eye, maintaining a positive outlook, and having a successful career.
Copyright (C) Bodolóczki JúliaBy taking a little time to fill in the anonymous questionnaire, you can help researchers better understand and fight vitiligo.