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It's an older paper, but it checks out. Rob Miles discusses the problem of ' Plausible text generation has been around for a couple of years, but how does it work - and what's next? Rob Miles on As AI systems become more capable, rule-based safeguards, hard-coded restrictions, and simple alignment strategies start to ... Following the theme of AI research and safety, Aric Floyd talks about how some A massive topic deserves a massive video. Rob Miles discusses ChatGPT and how it may not be dangerous, yet. More from Rob ... Described as GenAIs greatest flaw, indirect prompt injection is a

More examples of how GPT-2 pays attention to things. Rob Miles Discussing ideas of what happens after Generative AI plateaus, Dr Jakob Foerster is based at the University of Oxford. Try the ... Newcomb's Problem is a thought experiment which, on the surface, seems obvious, but what if you're trying it out on your identical ... Mike explains a paper from the University of Maryland, proposing a neat trick to 'watermark' the output of The so-called 'Forbidden Technique' with Chana Messinger -- Brilliant's courses and start for free at ... Researchers suggested there's more AI generated content appearing on the web than human generated content - Mike Pound ...

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Sleeper Agents in Large Language Models - Computerphile
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Sleeper Agents in Large Language Models - Computerphile

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It's an older paper, but it checks out. Rob Miles discusses the problem of '

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AI Language Models & Transformers - Computerphile

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Plausible text generation has been around for a couple of years, but how does it work - and what's next? Rob Miles on

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The Hard Problem of Controlling Powerful AI Systems - Computerphile

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As AI systems become more capable, rule-based safeguards, hard-coded restrictions, and simple alignment strategies start to ...

A Helping Hand for LLMs (Retrieval Augmented Generation) - Computerphile
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A Helping Hand for LLMs (Retrieval Augmented Generation) - Computerphile

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Last Updated: May 22, 2026

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