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I took a break in #cybersecurity podcasts to listen to this conversation between Lex Fridman and Yann LeCun. It is a bit old, published around two months ago, but still gives a great conceptual overview of the current state of #machinelearning and what many call #AI and how it can be developed further. After all, even the newest OpenAI #ChatGPT4o doesn't advance beyond any of the fundamental limitations of the #LLM. This conversation also delves* into why LLMs can be used for any work that requires accuracy and precision — the probability of the next token outputted by the model being incorrect grows exponentially with each one produced. Maybe one exception is code that is externally verifiable, at least on the compiler/interpreter level, but still the results of the program needs to be verified too. *I use this word intentionally to emulate LLM writing 😎 https://lnkd.in/dTWWG6P2
Great dad | Inspired Risk Management and Security Profesional | Cybersecurity | Leveraging Data Science & Analytics My posts and comments are my personal views and perspectives but not those of my employer
5moThanks. I can use a break too 😂