Surprise! LLMs Are More Like Brains Than You Realize

People keep saying LLMs are “just fancy autocomplete.” That framing is technically rooted in how LLMs work at a basic level, but it completely misses the point. In this video, I explain why large language models deserve more respect than many people give them, why next-token prediction at massive scale leads to surprising emergent capabilities, and why the “just autocomplete” critique starts to fall apart when you compare it to how many cognitive scientists think the human brain works. I also discuss why prediction may be far more central to intelligence than most people realize. We’ll cover: what LLMs are actually doing when they generate text why “autocomplete” is an oversimplification emergent capabilities like summarization, translation, coding, planning, and creativity whether AI can generate genuinely novel ideas why the human brain may itself be understood as a kind of prediction engine predictive processing, hierarchical inference, and the broader implications for how we think about intelligence I’m not arguing that AI is conscious or sentient, and I’m not claiming that LLMs and the human brain are the same. But I am arguing that dismissing LLMs as “just autocomplete” ignores something much deeper about both AI and human cognition. If you’re interested in AI, cognition, technology, the future of work, or how emerging tools are reshaping the world, subscribe for more videos like this. #AI #LLM #ArtificialIntelligence #MachineLearning #AGI #CognitiveScience #FutureOfWork #Tech Additional Patent Resources: - My best-selling book, Patents Demystified: https://amzn.to/2MX5le9 - The top book on licensing your idea or invention: https://amzn.to/3tDLSib (One Simple Idea by Stephen Key) - When to file a patent application: https://www.dwt.com/blogs/startup-law-blog/2020/08/when-to-file-startup-patent-application - Is software patentable: https://www.dwt.com/blogs/startup-law-blog/2020/11/how-to-patent-software - My appearance on CNBC’s “The Profit” with Marcus Lemonis: https://www.cnbc.com/video/2019/11/08/coco-taps-owner-reviews-their-pending-patent-with-marcus-lemonis.html Gear Used to Make This Video: Panasonic LUMIX GH7 - https://amzn.to/3ZiaYom Neewer 230W Video Light - https://amzn.to/3Zrln18 Godox Softbox - https://amzn.to/3VmxHOU Aputure Amaran RGB Tube Lights - https://amzn.to/49n84mX Shure SM58 Microphone - https://amzn.to/4icAvYN Panasonic LUMIX DMW-XLR2 XLR Mic Adaptor - https://amzn.to/3ZAXULW Shure SM57 Windscreen - https://amzn.to/49hPpsx Neewer LED Panel Light - https://amzn.to/3VZwPNn StudioFX Rim/Back Light - https://amzn.to/3GLSZ1u ***** DISCLAIMER: Information in this video is not legal advice and should not be relied on as such. The law can change and the information in this video may be outdated, so you should always consult an attorney regarding your specific issues in view of the current state of the law. ******